Journals to employ an associate editor with systematic review expertise
Systematic review sin type . | Explanation . | Solution . |
---|---|---|
Superficial | Narrow minor topics of questionable clinical value that are often done as student projects | Senior authors to show more responsibility and undertake some form of prioritization exercises with patients and clinicians |
Salami | Chopping up a topic into several smaller pieces in order to obtain as many publications as possible | Editors to spot and decline potential salami topics and encourage broader reviews |
Selective | Failing to register the protocol for a systematic review and only reporting the outcomes that look interesting | Funders and journals to make prospective registration on PROSPERO mandatory |
Sloppy | Poorly reported reviews that fail to comply with basic PRISMA reporting guidance | Journal editors to require authors to complete PRISMA checklist and to check those responses |
Seen before | Covert duplication of existing reviews | Readers to expose and journals to investigate and retract if response inadequate |
Specious | Reviews that give an air or spurious precision by presenting lots of numbers and statistical methods yet fail to engage with content expertise to make any sense of the topic | Review teams to include content experts Journals to employ an associate editor with systematic review expertise |
Seriously wrong | Sausage factory reviews that get past journal editors, but which contain serious errors such as including the same study more than once in a meta-analysis | All systematic reviews with meta-analysis should be sent for statistical and content expertise review |
Adapted with permission from Williams. 10
Checklist of questions, considerations and tips for critical appraisal of systematic reviews
Item . | Comments . |
---|---|
Is there a clear PICO and is it relevant to clinical practice? Is it clear and appropriate? | |
Are there any conflicts of interests or financial considerations? Does the introduction provide a compelling reason for the systematic review to be performed? Are there other similar systematic reviews, perhaps not even referenced in this paper? | |
Is this systematic review registered on PROSPERO? Was the protocol adhered to and if not, was this justified? | |
Has a PRISMA checklist been completed and is this accurate? Pay particular attention to reporting of bias | |
Consider using a formal checklist, e.g. AMSTAR 2 If meta-analysis was performed, was it appropriate to combine the studies? Were weighted techniques used to combine study results and adjusted for heterogeneity if present? If heterogeneity was present were sources of this investigated? Did authors assess the potential impact of risk of bias from individual studies? | |
Do the conclusions correlate with the results? (If not, is there misleading reporting, misleading interpretation, inappropriate extrapolation?) Do the authors make recommendations for clinical practice which are not supported by the study’s findings? Is the title misleading? Is there evidence of selective reporting? | |
What are the main positives and negatives? Consider the internal validity; are the results true? If they are true; consider external validity; are the (true) results applicable to my patient group? How similar are the study participants to my patient? Do the outcomes make sense to me? What was the magnitude of treatment effects? (Calculate NNT) What were the adverse events? What are my patients’ values and preferences? |
Item . | Comments . |
---|---|
Is there a clear PICO and is it relevant to clinical practice? Is it clear and appropriate? | |
Are there any conflicts of interests or financial considerations? Does the introduction provide a compelling reason for the systematic review to be performed? Are there other similar systematic reviews, perhaps not even referenced in this paper? | |
Is this systematic review registered on PROSPERO? Was the protocol adhered to and if not, was this justified? | |
Has a PRISMA checklist been completed and is this accurate? Pay particular attention to reporting of bias | |
Consider using a formal checklist, e.g. AMSTAR 2 If meta-analysis was performed, was it appropriate to combine the studies? Were weighted techniques used to combine study results and adjusted for heterogeneity if present? If heterogeneity was present were sources of this investigated? Did authors assess the potential impact of risk of bias from individual studies? | |
Do the conclusions correlate with the results? (If not, is there misleading reporting, misleading interpretation, inappropriate extrapolation?) Do the authors make recommendations for clinical practice which are not supported by the study’s findings? Is the title misleading? Is there evidence of selective reporting? | |
What are the main positives and negatives? Consider the internal validity; are the results true? If they are true; consider external validity; are the (true) results applicable to my patient group? How similar are the study participants to my patient? Do the outcomes make sense to me? What was the magnitude of treatment effects? (Calculate NNT) What were the adverse events? What are my patients’ values and preferences? |
NNT, number needed to treat.
Considering each question suggested in our checklist when faced with yet another systematic review draws a timely conclusion on its quality and application to clinical practice, when acting as a reviewer or reader. Although the checklist may sound exhaustive and time-consuming, we recommend cutting it short if there are major red flags early on, such as absence of a protocol or assessment of RoB. Given the growing number of systematic reviews, having an efficient and succinct aide for appraising articles saves the reader time and energy, while simplifying the decision regarding what merits a change in clinical practice. Our intention is not to criticize others’ well-intentioned efforts, but to improve standards of reliable evidence to inform patient care.
Systematic reviews of randomized controlled trials offer one of the best methods to summarize the evidence surrounding therapeutic interventions for skin conditions.
The number of systematic reviews in the dermatology literature is increasing rapidly.
The quality of dermatology systematic reviews is generally poor.
We describe a checklist for the busy clinician or reviewer to consider when faced with a systematic review.
Key factors to consider include: determining the review motivation, establishing if the study protocol was prepublished, assessing quality of reporting and study quality using PRISMA, and AMSTAR 2 critical appraisal checklists, and assessing for evidence of spin.
Summarizing the main qualities and limitations of a systematic review will help to determine if the review is robust enough to potentially change clinical practice for patient benefit.
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
No new data generated.
Ethical approval: not applicable. Informed consent: not applicable.
Moher D , Liberati A , Tetzlaff J et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement . Ann Intern Med 2009 ; 151 : 264 – 9 .
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Ioannidis JP . The mass production of redundant, misleading, and conflicted systematic reviews and meta-analyses . Milbank Q 2016 ; 94 : 485 – 514 .
Croitoru DO , Huang Y , Kurdina A et al. Quality of reporting in systematic reviews published in dermatology journals . Br J Dermatol 2020 ; 182 : 1469 – 76 .
Smires S , Afach S , Mazaud C et al. Quality and reporting completeness of systematic reviews and meta-analyses in dermatology . J Invest Dermatol 2021 ; 141 : 64 – 71 .
Baraldi JH , Picozzo SA , Arnold JC et al. A cross-sectional examination of conflict-of-interest disclosures of physician-authors publishing in high-impact US medical journals . BMJ Open 2022 ; 12 : e057598 .
Centers for Medicare & Medicaid Services . Open Payments Search Tool. About. Available at : https://openpaymentsdata.cms.gov/about (last accessed 22 April 2023).
Guelimi R , Afach S , Régnaux JP et al. Overlapping network meta-analyses on psoriasis systemic treatments, an overview: quantity does not make quality . Br J Dermatol 2022 ; 187 : 29 – 41 .
Williams HC . Are dermatology systematic reviews spinning out of control? Dermatology 2021 ; 237 : 493 – 5 .
National Institute for Health and Care Research . About Prospero. Available at : https://www.crd.york.ac.uk/prospero/#aboutpage (last accessed 22 April 2023).
Barbieri JS , Wehner MR . Systematic reviews in dermatology: opportunities for improvement . Br J Dermatol 2020 ; 182 : 1329 – 30 .
Shea BJ , Reeves BC , Wells G et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both . BMJ 2017 ; 358 : j4008 .
AMSTAR . AMSTAR checklist. Available at : https://amstar.ca/Amstar_Checklist.php (last accessed 22 April 2023).
Drake L , Reyes-Hadsall S , Martinez J et al. Evaluation of the safety and effectiveness of nutritional supplements for treating hair loss: a systematic review . JAMA Dermatol 2023 ; 159 : 79 – 86 .
Stenfors T , Kajamaa A , Bennett D . How to … assess the quality of qualitative research . Clin Teach 2020 ; 17 : 596 – 9 .
Yavchitz A , Ravaud P , Altman DG et al. A new classification of spin in systematic reviews and meta-analyses was developed and ranked according to the severity . J Clin Epidemiol 2016 ; 75 : 56 – 65 .
Manriquez JJ , Villouta MF , Williams HC . Evidence-based dermatology: number needed to treat and its relation to other risk measures . J Am Acad Dermatol 2007 ; 56 : 664 – 71 .
Williams HC . Applying trial evidence back to the patient . Arch Dermatol 2003 ; 139 : 1195 – 200 .
CASP . CASP checklists. Available at : https://casp-uk.net/casp-tools-checklists/ (last accessed 22 April 2023).
Williams HC . Cars, CONSORT 2010, and clinical practice . Trials 2010 ; 11 : 33 .
To demonstrate up-to-date knowledge on assessing systematic reviews.
Which of the following critical appraisal checklists is useful for assessment of items that should be reported in a systematic review?
Which one of the following statements is correct?
The number of published systematic reviews in the dermatology literature is falling.
The quality of published dermatology systematic reviews is generally very good.
Publishing details of the PRISMA checklist in a systematic review indicates that the study quality is high.
External validity refers to the applicability of results to your patient group.
Internal validity refers to the applicability of results to your patient group.
Spin in systematic reviews can be described by which one of the following measures?
Authors declaring all conflicts of interest.
Title suggesting beneficial effect not supported by findings.
Adequate reporting of study limitations.
Conclusion formulating recommendations for clinical practice supported by findings.
Reporting a departure from study protocol that may modify interpretation of results.
PICO stands for which of the following.
PubMed, inclusion, comparator, outcome.
Population, items, comparator, outcome.
Population, intervention, context, observations.
Protocol, intervention, certainty, outcome.
Population, intervention, comparator, outcome.
Publication of a systematic review study protocol can be found at which source?
Cochrane Library.
ClinicalTrials.gov.
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Affiliations.
Objectives: Concise definitive review of how to read and critically appraise a systematic review.
Data sources: None.
Study selection: Current literature describing the conduct, reporting, and appraisal of systematic reviews and meta-analyses.
Data extraction: Best practices for conducting, reporting, and appraising systematic review were summarized.
Data synthesis: A systematic review is a review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant original research, and to collect and analyze data from the studies that are included in the review. Critical appraisal methods address both the credibility (quality of conduct) and rate the confidence in the quality of summarized evidence from a systematic review. The A Measurement Tool to Assess Systematic Reviews-2 tool is a widely used practical tool to appraise the conduct of a systematic review. Confidence in estimates of effect is determined by assessing for risk of bias, inconsistency of results, imprecision, indirectness of evidence, and publication bias.
Conclusions: Systematic reviews are transparent and reproducible summaries of research and conclusions drawn from them are only as credible and reliable as their development process and the studies which form the systematic review. Applying evidence from a systematic review to patient care considers whether the results can be directly applied, whether all important outcomes have been considered, and if the benefits are worth potential harms and costs.
Copyright © 2022 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.
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Dr. Hill’s institution received funding from Fresenius Kabi and the Medical Faculty Rheinisch-Westfälische Technische Hochschule Aachen; she received funding from Fresenius Kabi. The remaining authors have disclosed that they do not have any potential conflicts of interest.
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Critical Care volume 28 , Article number: 214 ( 2024 ) Cite this article
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Ventilator-associated pneumonia (VAP) is a prevalent and grave hospital-acquired infection that affects mechanically ventilated patients. Diverse diagnostic criteria can significantly affect VAP research by complicating the identification and management of the condition, which may also impact clinical management.
We conducted this review to assess the diagnostic criteria and the definitions of the term “ventilator-associated” used in randomised controlled trials (RCTs) of VAP management.
Based on the protocol (PROSPERO 2019 CRD42019147411), we conducted a systematic search on MEDLINE/PubMed and Cochrane CENTRAL for RCTs, published or registered between 2010 and 2024.
We included completed and ongoing RCTs that assessed pharmacological or non-pharmacological interventions in adults with VAP.
Data were collected using a tested extraction sheet, as endorsed by the Cochrane Collaboration. After cross-checking, data were summarised in a narrative and tabular form.
In total, 7,173 records were identified through the literature search. Following the exclusion of records that did not meet the eligibility criteria, 119 studies were included. Diagnostic criteria were provided in 51.2% of studies, and the term “ventilator-associated” was defined in 52.1% of studies. The most frequently included diagnostic criteria were pulmonary infiltrates (96.7%), fever (86.9%), hypothermia (49.1%), sputum (70.5%), and hypoxia (32.8%). The different criteria were used in 38 combinations across studies. The term “ventilator-associated” was defined in nine different ways.
When provided, diagnostic criteria and definitions of VAP in RCTs display notable variability. Continuous efforts to harmonise VAP diagnostic criteria in future clinical trials are crucial to improve quality of care, enable accurate epidemiological assessments, and guide effective antimicrobial stewardship.
Ventilator-associated pneumonia (VAP) stands as the most prevalent and serious hospital-acquired infection observed in intensive care units [ 1 ]. VAP prolongs hospital stays, durations of mechanical ventilation, and is associated with considerable mortality and an increase in healthcare costs [ 2 , 3 ].
Diagnosing VAP can be challenging for clinicians as it shares clinical signs and symptoms with other forms of pneumonia as well as non-infectious conditions [ 4 ]. The most recent international clinical guidelines define VAP as the presence of respiratory infection signs combined with new radiographic infiltrates in a patient who has been ventilated for at least 48 h [ 5 , 6 ]. While the guidelines developed by ERS/ESICM/ESCMID/ALAT do not provide a detailed definition of signs of respiratory infection [ 5 ], the ATS/IDSA guidelines mention that clinical signs may include the new onset of fever, purulent sputum, leucocytosis, and decline in oxygenation [ 6 ]. However, the ATS/IDSA guideline panel also acknowledges that there is no gold standard for the diagnosis of VAP [ 6 ]. This lack of a standardised definition is further highlighted by the varying, surveillance-based definitions of VAP provided by the Centre for Disease Control (CDC) and the European Centre for Disease Control (ECDC) [ 7 , 8 ]. These definitions, focusing on a combination of clinical, radiological, and microbiological signs to identify cases of VAP, were established to standardise reporting and facilitate the monitoring of infections in healthcare settings. However, the criteria given by the CDC and ECDC may not always align with the diagnostic criteria used by clinicians to confirm or rule out the condition [ 9 , 10 , 11 ].
Variations in the eligibility criteria applied to VAP can have a significant impact on systematic reviews and meta-analyses that assess different interventions, primarily due to the potential lack of comparability among the studied populations [ 12 ]. Furthermore, the incidence of VAP may be underestimated when excessively strict diagnostic criteria are employed [ 13 , 14 ].
A recent systematic review conducted by Weiss et al. focused on inclusion and judgment criteria used in randomised controlled trials (RCTs) on nosocomial pneumonia and found considerable heterogeneity [ 15 ]. However, the authors only considered RCTs evaluating antimicrobial treatment as interventions, did not distinguish between hospital-acquired pneumonia (HAP) and VAP, and did not evaluate definitions of the term "ventilator-associated".
The objective of this systematic review was to provide a concise overview of the diagnostic criteria for VAP recently used in RCTs, as well as the definitions attributed to the term "ventilator-associated". Its findings will provide valuable insights to a forthcoming task force, which aims to establish a uniform definition and diagnostic criteria for VAP in clinical trials. The task force will be made up of representatives from prominent international societies with an interest in VAP, as well as patient partners with lived experience. The harmonisation of the diagnostic criteria for VAP in upcoming clinical research are vital for enhancing patient care, enabling accurate epidemiological studies, and guiding successful antimicrobial stewardship programs.
The protocol for this systematic review was registered in advance with the International Prospective Register of Systematic Reviews (PROSPERO 2019 CRD42019147411), encompassing a broad review focusing on pneumonia outcomes and diagnostic criteria in RCTs. Recognising the limitations of discussing all findings in one manuscript, we opted to produce several focused and comprehensive manuscripts, all employing the same fundamental methodology, as registered with PROSPERO. While a previous publication focused on outcomes reported in RCTs on pneumonia management [ 16 ], the current submission specifically addresses diagnostic criteria for VAP.
We included RCTs that were registered, planned, and/or completed that: (1) enrolled adults with VAP; and (2) assessed the safety, efficacy and/or effectiveness of pharmacological or non-pharmacological interventions for treating VAP.
We have excluded systematic reviews, meta-analyses, narrative reviews, post hoc analyses from RCTs, observational studies, case reports, editorials, conference proceedings, and studies that do not exclusively focus on pneumonia (such as trials including patients with pneumonia alongside other diseases). Additionally, studies on pneumonia subtypes other than VAP, such as pneumonia without specifying a subtype, community-acquired pneumonia (CAP), healthcare-associated pneumonia (HCAP), and HAP, have also been excluded. To maintain focus and relevance, studies on Coronavirus Disease 2019 (COVID-19) were excluded from this systematic review, as the viral aetiology and distinct clinical management protocols differ significantly from the nature and treatment strategies of VAP. RCT protocols were only included if the results have not been previously published in another article included in this systematic review. Due to resource constraints and the lack of multilingual expertise within the review team, this systematic review was restricted to English-language RCTs.
On 20 May 2024, we searched MEDLINE/PubMed, and the Cochrane Register of Controlled Trials (CENTRAL) for RCTs published between 1 January 2010 and 19 May 2024. We used electronic algorithms introducing a combination of controlled vocabulary and search terms as reported in the Appendix.
Two reviewers (FH, MF) independently screened titles and abstracts to identify eligible studies using Rayyan [ 17 ]. In case of disagreement, a third reviewer was consulted (AGM). After immediate exclusion of duplicates using EndNote X9, four reviewers (AGM, FH, JH, MF) independently checked for eligibility at full-text level. The results of the selection process are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [ 18 ].
We developed an extraction sheet as endorsed by the Cochrane Collaboration [ 19 ]. The extraction sheet was independently tested by three reviewers (AGM, FH, MF) on five randomly selected studies and adapted to ensure good inter-reviewer agreement. The extraction sheet contained the following elements: (1) study ID, name, reference and NCT number; (2) type of pneumonia: CAP, HCAP, HAP and/or VAP; (3) diagnostic criteria for pneumonia; (4) definition of setting; (5) study origin, design, populations, interventions, and outcomes.
Four reviewers (AGM, FH, JH, MF) extracted data from the eligible studies. Data were extracted sequentially from either a manuscript containing published results, a published protocol, or, upon obtaining a trial registration number from CENTRAL, from one of the designated trial registries, such as ClinicalTrials.gov, the Clinical Trials Registry India (CTRI), the Chinese Clinical Trial Registry (ChiCTR), the European Clinical Trials Database (EudraCT), the Iranian Registry of Clinical Trials (IRCT), the Japan Primary Registries Network (JPRN), and the Japanese University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR). Cross-checking of all extracted data was performed by a second reviewer (AGM, AK, MF, RR, TW). Disagreements regarding data collection were resolved by discussion between all reviewers.
The findings were consolidated through a combination of narrative and tabular formats. The presentation encompassed the quantitative representation of each diagnostic criterion in terms of numerical values and proportions. Additionally, we provide an analysis of the various combinations of diagnostic criteria employed in RCTs in a sunburst diagram and a tabular format, along with an examination of the definitions attributed to the term "ventilator-associated".
The main goal of this systematic review was to explore the diagnostic criteria used in clinical trials for diagnosing VAP. It covered trials with published protocols and/or results, as well as those only registered in a trial database. The varying levels and gaps in the information provided by the various sources made it difficult to conduct a reliable and meaningful risk of bias assessment for all included studies. However, for RCTs with published data, risk of bias was evaluated by four reviewers (AGM, JH, MF, RR) using the Risk of Bias in Randomized Trials 2 tool (RoB-2 tool), as endorsed by the Cochrane Collaboration [ 20 ].
A total of 7173 records were identified through the databases MEDLINE and CENTRAL, as illustrated in Fig. 1 . Following the removal of duplicate entries, a screening process involving the evaluation of titles and abstracts was conducted on 5652 records. Among these, 650 records were deemed potentially eligible for inclusion. Ultimately, our review included 119 studies that specifically focused on VAP (Table S1 in the Appendix, the full dataset is available online [ 21 ]).
PRISMA flowchart showing study selection
The total number of patients in the 119 identified studies was 21,289. Among these studies, 83 focused exclusively on VAP, while the remaining studies encompassed various subtypes of pneumonia in addition to VAP (see Table 1 ). The majority of these studies were registered, and their protocols were accessible either through publication in a journal article or on a clinical trial platform. Results were accessible in 56.3% of cases, while both results and the protocol were accessible in 36.9% of cases. In 40.3% of the included studies, data could only be obtained from a trial registry platform, with ClinicalTrials.gov being the primary platform in 36 out of 48 cases, and ChiCTR (n = 2), CTRI (n = 3), EudraCT (n = 3), IRCT (n = 2), JPRN (n = 1) and UMIN-CTR (n = 1) in the remaining cases.
Diagnostic criteria were provided in 51.2% and the term “ventilator-associated” was defined in 52.1% of the studies, respectively. Of the 20 studies (16.8%) that referred to previously published diagnostic criteria, 13 cited the Clinical Pulmonary Infection Score (CPIS) [ 22 ], while the remaining referred to national and international guidelines.
We evaluated the risk of bias in 67 studies with published results using the RoB-2 tool. The overall assessment showed that 25% of the studies were at high risk of bias, 30% were at low risk of bias, and the remaining 45% had some concerns about potential bias. These results indicate variability in the methodological quality of the studies included in the review. The overall risk of bias and the detailed results of our assessments for the 67 studies are displayed in the Appendix (Figures SF1-SF2).
Pulmonary infiltrates.
Of the 61 studies on VAP that provided diagnostic criteria, 59 (96.7%) included the radiological evidence of a new or progressive pulmonary infiltrate.
The most frequently included clinical signs and symptoms were fever (86.9%), hypothermia (49.1%), sputum (70.5%), and hypoxia (32.8%). Different cut-off values were employed to define fever and hypothermia, as indicated in Table 2 . The majority of studies, accounting for 45.2%, utilised a cut-off of > 38 degrees Celsius (°C) to define fever, while 13.2% of studies used a cut-off of ≥ 38°C. In the case of hypothermia, the most commonly employed cut-off value was < 35°C, which was utilised in 43.3% of studies that included hypothermia as a criterion. Only a minority of studies provided information on the site of temperature measurement. Oral measurement was the most frequently employed method, followed by axillary and core temperature measurements (further details are displayed in Table S2 in the Appendix).
Fifty-four studies (88.5%) incorporated white blood count abnormalities as part of their diagnostic criteria for VAP. Conversely, only one study included an elevation of procalcitonin (PCT) as a diagnostic factor, and none of the identified studies included C-reactive protein (CRP). The specific thresholds for leucocytosis and leucopoenia varied across studies, with leucocyte counts ranging from greater than 10,000/mm3 to greater than 12,000/mm3 for leucocytosis, and less than 3,500/mm3 to less than 4,500/mm3 for leucopoenia (Table 3 ).
All definitions of pneumonia were composite in nature and required the fulfilment of a minimum number of predetermined criteria for the diagnosis to be established. In 90.2% of the studies the presence of a new pulmonary infiltrate was a mandatory criterion. Two studies did not include an infiltrate as criterion, whereas the remaining studies (n = 4) included the presence of an infiltrate in their criteria, it was, however, not required for a diagnosis.
The most commonly employed set of diagnostic criteria (18/61, 29.5%) consisted of a pulmonary infiltrate along with two or more additional criteria. However, these additional criteria varied across studies (Fig. 2 ). A quarter (17/61) of the included studies that provided diagnostic criteria required the fulfilment of all individual criteria for diagnosis, including an infiltrate. An infiltrate and one or more additional criteria were used to establish a diagnosis of VAP in 14.8% of studies (9/61). A total of 38 different combinations of diagnostic criteria for VAP were used in the 61 identified studies. A full set of these criteria is displayed in Table S3 in the Appendix.
The different combinations of diagnostic criteria used in VAP RCTs. CXR radiological evidence of a new infiltrate; T temperature criterion; WBC white blood count criterion; dys/tach dyspnoea and/or tachypnoea; O2 hypoxia; auscultation auscultation abnormalities
We noted that 52.1% of included studies incorporated a specific definition of the term “ventilator-associated” (Table 4 ). A total of nine distinct definitions were identified across 62 RCTs. The definition most commonly used was “onset after > 48 h of mechanical ventilation” (82.3%). Other definitions employed varying time thresholds, ranging from 24 h to seven days. Additionally, certain studies introduced supplementary criteria to further delineate the concept of “ventilator-associated”, such as administration of antibiotics prior to mechanical ventilation, duration of hospitalisation, or the timing of extubation.
This systematic review provides a concise overview of the diagnostic criteria for VAP used in RCTs and the definitions attributed to the term “ventilator-associated”. A total of 119 studies on VAP, published or registered between 2010 and 2024, were included, spanning a total of 21,289 patients. The majority of studies focused exclusively on VAP, while some also included other subtypes of pneumonia alongside VAP. Diagnostic criteria were provided in only 51.2% of the studies, and the term “ventilator-associated” was defined in only 52.1% of the studies. The most commonly utilised definition for “ventilator-associated” was “onset after > 48 h of mechanical ventilation”, used by 82.3% of studies providing a definition.
In clinical practice, the diagnosis of VAP is often based on a combination of clinical signs, laboratory results, and imaging findings, yet these are not without their limitations [ 8 ]. Our systematic review revealed considerable heterogeneity among diagnostic criteria for VAP in recent RCTs. Various combinations of specific criteria were employed to define VAP, leading to significant variability. Moreover, commonly used criteria were defined in different ways, with variations observed in the thresholds set for fever/hypothermia, as well as leucocytosis/leucopoenia.
Several criteria that were used in the studies included in our review have been shown to be insufficient for confirming a diagnosis of VAP. One of the most important criteria, included in the majority of reviewed RCTs, a new or progressive pulmonary infiltrate, has previously been reported to be of limited diagnostic value due to a lack of specificity [ 14 ]. Additionally, criteria like fever/hypothermia and the measurement of biomarkers such as leukocytes, CRP, and PCT may not be effective in diagnosing or excluding VAP in various clinical settings [ 4 , 23 , 24 ]. Despite this, CRP is widely used and has demonstrated some clinical value in predicting VAP [ 25 ]. It is, therefore, surprising that none of the RCTs included in our review employed CRP as a diagnostic criterion.
Overall, the findings of our systematic review underline the diverse nature of VAP, with different diagnostic criteria increasing the risk of both over- and underdiagnosis of VAP [ 14 , 26 ]. There have been attempts to diagnose VAP more objectively, one of these being the development of the CPIS in 1991, a six-component score that 10.9% of studies included in our review referred to [ 27 ]. This score includes different cut-offs for body temperature, leucocyte counts, tracheal secretion appearances, oxygenation levels and radiographical changes to estimate the risk for VAP. However, the CPIS has been shown not to be superior to other diagnostic criteria, and, therefore, its application remains controversial [ 8 , 11 , 22 , 28 ]. Other commonly applied criteria, such as the surveillance-based criteria by the ECDC and CDC, did not seem to be accurate enough to detect true cases of VAP either [ 9 , 10 , 11 ]. Furthermore, there is limited agreement between the two surveillance-based criteria, which has previously resulted in different estimates of VAP events [ 29 ].
In lieu of definitive diagnostic scores or sets of diagnostic criteria to detect all true cases of VAP, the findings of our systematic review indicate the need for more homogeneous diagnostic criteria in future RCTs, to assure their comparability. Currently, international guidelines avoid providing clear diagnostic criteria for VAP [ 5 , 6 ]. Given the significance of establishing strong consensus definitions for high-risk conditions like VAP, it is essential to emphasise even further that a uniform definition is crucial not only for advancing therapeutic research but also, and perhaps more importantly, for refining diagnostic methods. Together with core outcome sets, these definitions can help to improve the likelihood of attaining robust and reliable findings in forthcoming systematic reviews and meta-analyses [ 16 , 30 ].
We used a comprehensive search strategy which included multiple databases and a wide range of search terms, ensuring broad identification of all potentially relevant trials. Additionally, the inclusion criteria were clearly defined, and the study selection process was conducted independently by multiple reviewers to minimise bias. The extraction sheet used for data collection was tested for inter-reviewer agreement and adapted accordingly. Another strength is the open availability of the complete dataset, maximising the transparency and reproducibility of our findings.
However, the following limitations need to be acknowledged. Firstly, the review only included RCTs conducted in English, which may have introduced language bias. This approach was adopted to ensure feasible and reliable data analysis within the scope of the resources available.
Additionally, the exclusion of studies focusing on pneumonia subtypes other than VAP may limit the generalisability of our findings. Furthermore, the lack of diagnostic criteria and definitions in a significant proportion of included studies suggests a potential reporting bias. This might be reinforced by the fact that 40.3% of data were received from trial registry platforms. Compared to final manuscript publications, reporting of eligibility criteria is often incomplete on registry platforms, therefore this must be highlighted as a limitation [ 31 ].
This systematic review provides an overview of diagnostic criteria for VAP used in RCTs and the definitions attributed to the term “ventilator-associated”. Our findings highlight the heterogeneity and lack of standardisation in commonly used diagnostic criteria, as well as the variability in definitions of "ventilator-associated" across clinical trials. We emphasise the need for a uniform definition of VAP to enable better comparability between studies and interventions. The results of this review will inform the work of an upcoming task force aimed at establishing such standardised criteria.
Raw data are accessible via the Open Science Framework (OSF) at osf.io/v3 × 42. This link is referenced in our manuscript (Ref. 21).
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We would like to acknowledge and honour the contributions of Prof. Tobias Welte, who was a vital member of our research team and co-author of this manuscript. Prof. Welte passed away after the initial submission of this work but before its final acceptance. His insights and expertise were invaluable to the development of this research, and he remains deeply missed by the team. We dedicate this work to his memory.
Open access funding provided by Copenhagen University This study was partly supported by the NIHR Manchester Biomedical Research Centre (BRC, NIHR203308) as well as the Capital Region of Denmark (Region Hovedstaden). The funders had no role in study design, data collection or analysis, decision to publish, nor preparation of the manuscript. Dr Jan Hansel was supported by an NIHR Academic Clinical Fellowship in Intensive Care Medicine. Dr Rebecca Robey was supported by an NIHR Academic Clinical Fellowship in Respiratory Medicine. Dr Alexander G. Mathioudakis was supported by an NIHR Clinical Lectureship in Respiratory Medicine. All authors have completed a ICMJE uniform disclosure form detailing any conflicts of interest outside the submitted work that they may have. None of the authors have conflicts directly related to this work.
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Department of Respiratory Medicine and Infectious Diseases, Copenhagen University Hospital – Bispebjerg and Frederiksberg, Copenhagen, Denmark
Markus Fally
North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
Faiuna Haseeb, Ahmed Kouta, Rebecca C. Robey, Timothy Felton & Alexander G. Mathioudakis
Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
Faiuna Haseeb, Ahmed Kouta, Jan Hansel, Rebecca C. Robey, Timothy Felton & Alexander G. Mathioudakis
North West School of Intensive Care Medicine, Health Education England North West, Manchester, UK
Acute Intensive Care Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
Thomas Williams & Timothy Felton
Department of Respiratory Medicine and German Centre of Lung Research (DZL), Hannover Medical School, Hannover, Germany
Tobias Welte
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MF: conceptualisation, methodology, software, formal analysis, investigation, data curation, writing—original draft, visualisation, project administration. FH: conceptualisation, investigation, data curation, validation, writing—review and editing. AK, JH, RCR and TWI: data curation, validation, writing—review and editing. TWE: conceptualisation, investigation, methodology, resources, validation, writing—review and editing. TF: conceptualisation, investigation, methodology, resources, validation, writing—review and editing, supervision. AGM: conceptualisation, investigation, methodology, software, resources, validation, writing—review and editing, project administration, supervision, funding acquisition, project administration.
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Additional file1 (docx 807 kb), search strategy, medline/pubmed.
#1: pneumonia [mh]
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#4: Healthcare-Associated Pneumonia [mh]
#5: Ventilator-Associated Pneumonia [mh]
#6: pneumonia [ti]
#7: pneumonia* [ti]
#8: bronchopneumonia [ti]
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#19: animals [mh] NOT humans [mh]
#20: children [mh] NOT adults [mh]
#21: COVID-19 [mh] or (covid[ti]) or (coronavirus [ti]) or (sars-cov-2[ti]) or (covid-19[ti]) or (pandemic[ti])
#22: #19 OR #20 OR #21
#23: #18 NOT #22
#24: #10 AND #23
#25: Publication date: 2010 –2024
#1: MeSH descriptor: [Pneumonia] explode all trees
#2: pneumonia*:ti
#3: #1 or #2
#4: MeSH descriptor: [COVID-19] explode all trees
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#8: sars-cov-2:ti
#9: #4 or #5 or #6 or #7 or #8
#10: #3 not #9
#11: Limit: Publication Date from 2010–2024
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Fally, M., Haseeb, F., Kouta, A. et al. Unravelling the complexity of ventilator-associated pneumonia: a systematic methodological literature review of diagnostic criteria and definitions used in clinical research. Crit Care 28 , 214 (2024). https://doi.org/10.1186/s13054-024-04991-3
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DOI : https://doi.org/10.1186/s13054-024-04991-3
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Emerging evidence in out-of-hospital cardiac arrest—a critical appraisal of the cardiac arrest center.
3. pre-hospital care, 4. coronary care, 5. mcs and ecpr, 6. post-cardiac arrest care, 7. targeted temperature management (ttm), 8. neuroprognostication and risk assessment tools, 9. rehabilitation and post-discharge care, 10. management in cacs, 11. conclusions, author contributions, conflicts of interest.
Authors | Type of Evidence | Total n° of Patients n | N° of Patients Treated in CAC vs. Non-CAC | Primary Endpoints/ Outcome Measures | % of Coronary Angiographies | Key Outcomes Regarding CACs |
---|---|---|---|---|---|---|
] | Randomized controlled trial | 862 | CAC: 431 (50%) vs. Non-CAC: 431 (50%), 411 vs. 412 included in analysis | All-cause mortality at 30 days | CAC: 231 of 412 (56%), non-CAC: 153 of 410 (37%) | No significant difference, p = 0.96 (95% CI 0.9–1.11) |
] | Systematic review/ meta-analysis | 147.943 (36 studies) | n.a. | (a) Survival to hospital discharge or 30 days (b) Survival to hospital discharge or 30 days with favorable neurological outcome | n.a. | (a) CAC favorable, adjusted OR 1.92 (95% CI 1.59–2.32) (b) CAC favorable, adjusted OR 1.85 (95% CI 1.52–2.26) |
] | Systematic review/ meta-analysis | 82.769 (16 studies) | n.a. | (a) Survival to hospital discharge or 30 days (b) Neurological outcomes at hospital discharge or 30 days | n.a. | (a) CAC favorable, adjusted OR 1.28 (95% CI 1.00–1.64) (b) No significant difference, adjusted OR 0.96 (95% CI 0.77–1.20) |
] | Observational | 95.931 | CAC: 23.292 (24.3%) vs. Non-CAC: 72.639 (75.7%) | (a) Survival to hospital discharge (b) Good neurologic recovery | n.a. | (a) CAC favorable, adjusted OR 1.70 (1.60–1.80) (b) CAC favorable, adjusted OR 1.75 (1.63–1.89) |
] | Observational | 10.650 (4.368 after propensity score matching) | 24/7 PPCI center: 5.375 (50.5%) vs. Other hospitals: 5.275 (49.5%) High volume center: 5.216 (49.0%) vs. Other hospitals: 5.434 (51.0%) | Survival to hospital discharge | n.a. | 24/7 PPCI centers favorable, adjusted OR 1.69 (95% CI 1.28 to 2.23) High volume centers favorable, adjusted OR 1.41 (95% CI 1.14 to 1.75) |
] | Observational | 6.655 (5.156 after propensity score matching) | CAC: 4.039 (60.7%) vs. Non-CAC: 2.616 (39.3%) | (a) (Association of transport time with) survival to hospital discharge (b) (Association of transport time with) good neurological outcome at discharge | n.a. | (a) CAC favorable in shockable rhythms, adjusted OR 2.20 (95% CI 1.29–3.75) for transport time < 8 min and adjusted OR 1.92 (95% CI 1.25–2.94) for transport time ≥ 8 min (b) CAC favorable in shockable rhythms, adjusted OR 2.7 (95% CI 1.4–5.22) for transport time < 8 min and adjusted OR 1.92 (95% CI 1.25–2.94) for transport time ≥ 8 min |
] | Observational | 3.855 | High-performing centers: 873 vs. Low-performing centers: 1.311 | CPC (Cerebral Performance Category) score at hospital discharge | Unconscious catheterization: High-performing centers 451 (53%) vs. Low-performing centers: 411 (32%) | Center specific risk standardized rates for good functional outcome range from 0.47 (0.37–0.58) to 0.2 (0.12–0.26) |
] | Systematic review/meta-analysis | Endpoint (a): 46.164 Endpoint (b): 30.080 (17 studies) | (a) CAC: 18.449 vs. Other hospitals: 27.507 (b) CAC: 3.086 vs. Other hospitals: 587 | (a) Survival to 30 days with favorable neurological outcome (b) Survival to hospital discharge with favorable neurological outcome | n.a. | (a) No significant difference (OR 2.92, 95% CI 0.68–12.48) (b) CACs favorable (OR 2.22, 95% CI 1.74–2.84) |
] | Observational | 2.238 | High-volume center (>100 cases/year): 378 vs. Medium- and low-volume centers: 483 | Survival to 30 days with favorable neurological outcome (CPC 1 or 2) | n.a. | High frequency centers favorable (OR 5.2, 95% CI 1.2–21.7, p = 0.025) |
] | Observational | 987 | High-volume center: 680 vs. Medium- and low-volume centers: 307 | Predictors of long-term survival | High-volume center: 264 of 680 (39%) vs. Medium- and low-volume centers: 115 of 307 (37%) | High-volume center favorable, adjusted HR for treatment in medium- and low-volume centers: 1.58 (95% CI 1.27–1.95), p < 0.001 |
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Memenga, F.; Sinning, C. Emerging Evidence in Out-of-Hospital Cardiac Arrest—A Critical Appraisal of the Cardiac Arrest Center. J. Clin. Med. 2024 , 13 , 3973. https://doi.org/10.3390/jcm13133973
Memenga F, Sinning C. Emerging Evidence in Out-of-Hospital Cardiac Arrest—A Critical Appraisal of the Cardiac Arrest Center. Journal of Clinical Medicine . 2024; 13(13):3973. https://doi.org/10.3390/jcm13133973
Memenga, Felix, and Christoph Sinning. 2024. "Emerging Evidence in Out-of-Hospital Cardiac Arrest—A Critical Appraisal of the Cardiac Arrest Center" Journal of Clinical Medicine 13, no. 13: 3973. https://doi.org/10.3390/jcm13133973
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The impact of arts on prescription on individual health and wellbeing: a systematic review with meta-analysis.
Introduction: The evidence-base for the impact of participating in the arts for different aspects of health and wellbeing is growing. Arts on Prescription has gained increasing recognition as a method for fostering connections among individuals and communities, however, to date no systematic review of the impact on individual health and wellbeing has been conducted. This review aims to provide an understanding of individual health and wellbeing outcomes from participation in Arts on Prescription programmes.
Methods: Major electronic databases were systematically searched, including Cochrane Library; Web of Science; ProQuest; CINAHL; Arts & Humanities; Ebsocohost; Pubmed; PsycINFO. Other databases were also used: Google Scholar and websites of specific organizations, e.g., NHS Evidence, Kings Fund, Health foundation, Nuffield Trust and NESTA and University of Florida Arts-in Medicine Repository. The review used PRISMA reporting structures. Critical Appraisal Skills Programme (CASP) templates were used for qualitative and quantitative studies, and the Mixed Methods Appraisal Tool (MMAT) for studies with a mixed methods protocol to assess quality and risk of bias. A narrative review of the qualitative data was conducted. For quantitative outcomes, a meta-analysis for studies that met inclusion criteria was conducted, and a narrative review made of secondary and heterogeneous outcomes and approaches.
Results: 7,805 records were identified but only 25 records were included as studies with a focus on the impact on individual health and wellbeing. Studies were conducted in Australia, Denmark, Sweden, United Kingdom, and the United States. Programmes were held in community settings, arts venues, GP surgeries, primary healthcare settings, and one school. Most interventions varied from 8 to 10 weeks and included a wide range of different arts activities. Qualitative themes included social benefits, psychological benefits and progression opportunities. The meta-analysis showed a statistically significant improvement in wellbeing, and the narrative review identified promising outcomes that require further evidential support (e.g., reductions in anxiety and depression).
Discussion: Arts on Prescription programmes are an appropriate intervention for improving psychosocial wellbeing, providing both social and psychological benefits as well as progression opportunities. We discuss the various qualitative and quantitative outcomes, along with potential ‘active ingredients’ and barriers to participation (physical, psychological and social).
Systematic review registration: PROSPERO, identifier CRD42023408974, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023408974 .
In several countries across the continents, Arts on Prescription (AoP) [also referred to as Arts on Referral (AoR)] has gained increasing recognition as a method for fostering connections among individuals and communities through creative activities, with the overarching goal of enhancing health and overall wellbeing ( 1 – 4 ). Arts on Prescription falls within the broader framework of social prescribing (SP), a mechanism through which primary healthcare practitioners, including General Practitioners (GPs) and healthcare professionals, can proactively refer service users to support with housing, befriending services and community-based initiatives, encompassing activities such as horticulture, culinary arts, communal walking, creative pursuits, or various other group engagements ( 5 – 7 ). Social prescribing has been described as a complex process, rather than an intervention, with different stages and interactions across the referral pathway ( 8 ). A number of definitions of social prescribing have been proposed, but for the purposes of this review the following is adopted; ‘a holistic, person-centred and community-based approach to health and wellbeing that bridges the gap between clinical and non-clinical supports and services’ ( 8 , p. 7). In the UK there are a number of different models of social prescribing delivery in operation ( 9 ). In essence, though, social prescribing enables a clinical professional to refer a person to a link worker, or community connector who then connects the person to non-clinical supports and services in the community. The premise underlying this referral process is the expectation that engagement with activities will contribute to the enhancement of psychosocial wellbeing ( 7 , 10 ).
Research to build an evidence base for this premise, and the mechanisms through which it occurs, has been accruing ( 11 – 13 ). However, it has proven difficult to integrate results since definitions and metrics to explore conceptual linkages between social prescribing and system/community outcomes are not standardized ( 14 ). Further, different methods of delivery and implementation of social prescribing present challenges for interpretation of outcomes and mechanisms ( 7 , 10 ). Nevertheless, research on Social Prescribing ( 15 ), and Arts on Prescription specifically, has increased in recent years as demonstrated in this review, such that attempts to integrate findings through systematic reviews are necessary to synthesize the collective evidence base and provide insights for both future research agendas and good practice for the delivery of programmes.
There is increasing endorsement of Social Prescribing initiatives by both policy-making bodies and governments, with the expectation that Social Prescribing can help to reduce the financial burden of health care, by addressing social determinants of health, reducing loneliness and the impact of health inequalities ( 16 – 21 ). This systematic review assumes a timely relevance, seeking to comprehensively evaluate the extant body of evidence dedicated to Arts on Prescription, especially useful since there are no prior systematic reviews on this topic.
In this systematic review, we include Arts on Prescription programmes that involve a range of different arts activities, and/or events, where groups of participants engage with different types of arts depending on the context (e.g., visual arts, creative writing, dance, or music). Programmes vary in delivery, in terms of length, numbers of participants and art activities offered ( 4 , 22 ). Additionally, Arts on Prescription programmes differ in that they are designed to serve diverse demographic groups and are implemented in a multitude of settings ( 1 , 3 ). Yet, they have in common a referral being made to engage with a programme of art activities over a period of several weeks, with the expectation that this will improve psychosocial wellbeing. It is important to note that the Arts on Prescription model differs from creative arts therapies and from art classes. The focus is on process, play and social community rather than skill development, and art is not used to facilitate psychotherapy. The facilitators are not trained therapists/psychotherapists, and are positioned as ‘arts for health’ facilitators rather than ‘art teachers’ ( 10 ).
The primary objective of this systematic review is to clarify and critically evaluate outcomes and wider impact of community-based Arts on Prescription and Arts on Referral programmes on individual health and wellbeing. The research protocol was registered with PROSPERO (2023 CRD42023408974) ( 23 ).
Methods of searching the literature, the inclusion and exclusion criteria and methods of quality assessment were determined and specified in advance in a protocol which was registered with PROSPERO, as stated above. In the development of this protocol the Preferred Reporting Items for Systematic Reviews (PRISMA) reporting structure systematic reviews was followed ( 24 ). The inclusion and exclusion criteria were developed through PICOC and SPICE frameworks ( 25 ). Quality and risk of bias appraisals were planned to be made with the Critical Appraisal Skills Programme (CASP) templates and the Mixed Methods Appraisal Tool (MMAT) ( 26 , 27 ). Data extraction followed guidance from the Centre for Reviews and Dissemination ( 25 ) and Cochrane Handbook for Systematic Reviews of Interventions ( 28 ). All procedures and processes were piloted and checked for accuracy independently by two authors, with any discrepancies resolved through a third author, throughout all stages of the review process, as detailed below.
A systematic search was conducted using the following keywords: “art on prescription” OR “art on referral” OR (art on prescription) OR (art on referral) OR (arts on prescription) OR (“arts on prescription”) OR (arts on referral) OR (“arts on referral”) OR (culture on prescription) OR (“culture on prescription”) OR (culture on referral) OR (“culture on referral”). Keywords were carefully chosen to provide comprehensive coverage of the use of the arts in social prescribing based on preliminary analyses of terms used in the literature and consultation with experts. The focus was on ‘arts prescribing’ rather than broader forms of arts interventions, because this term is widely known and acts as an umbrella term for an array of different arts activities, in the same way that the term ‘social prescribing’ represents a wide range of different activities and has been used in systematic reviews of social prescribing [see for example ( 29 )]. Phrase searches were used with and without inverted commas in order to find both exact searches and publications with variations of terminology. Both the titles and abstract fields were searched to maximize sensitivity. Where possible, the language of articles was set to “English” and dates from 1994 to 2023. This search strategy was developed and tested by the research team using databases Web of Science and PubMed in March 2023. After careful formulation, searches were conducted between April 2023 and July 2023 using the following databases: Cochrane Library; Web of Science; ProQuest; CINAHL; Arts and Humanities; Ebsocohost; Pubmed; PsycINFO. Other databases were also used including Google Scholar and to reduce the possibility of publication bias. The Grey literature was also searched ( 30 ) using the websites of specific organizations, e.g., NHS Evidence, Kings Fund, Health foundation, Nuffield Trust and NESTA and University of Florida Arts-in Medicine Repository.
The inclusion and exclusion criteria were developed using PICOC and SPICE frameworks ( 25 ) to ensure selection of relevant studies in the search. Studies meeting the following criteria were included: Participants/Population (P): articles with study populations of any age, from all countries and from those consisting of patients/service users and healthcare practitioners; Intervention (I): (i) specified referral routes in order to meet the definition of ‘arts on prescription’; (ii) participants were referred to community arts activities or interventions delivered by artists or other facilitators (e.g., museum education officers); (iii) Interventions were group arts activities, but all arts disciplines were included (for example visual arts, literary arts and performing arts); Comparison (C): Studies with and without comparison groups were included; Outcome (O): Reporting measures of impact (use of a validated tool to measure mental health symptoms, wellbeing, mental health, physical health outcomes, social isolation and/or loneliness) and/or articles with qualitative accounts of patients/service users and healthcare practitioners’ experiences; Context (C): (i) Community based or primary care-based studies; (ii) publications from 1994 (this corresponds to the first reported Arts on Prescription programme in the literature); (iii) studies written in English; Evaluation (E): include empirical data (quantitative, qualitative, or mixed methods studies).
Studies meeting the following criteria were excluded: Participants (P): No exclusion criteria; Intervention (I): (i) reporting on the expressive arts therapies (art, music, drama, dance) delivered as a psychotherapeutic intervention; (ii) reporting on community arts programmes without a referral process; Comparison (C): No exclusion criteria; Outcomes (O): No exclusion criteria; Context (C): based in inpatient/hospital-based and residential care home settings; Evaluation (E): case reports; opinion pieces and editorials, review papers and essays.
The protocol for screening was developed in March and April 2023, piloting tools and methods for sharing and saving data (e.g., Zotero and Mendeley). Literature search results were downloaded and shared in an Excel file, with a record of the screening process kept for each database. All titles and abstracts for each database search were saved on a separate Excel sheet, and the screening outcome for each study was recorded (whether included or excluded and a category for the reason for exclusion). All articles were screened for inclusion and exclusion criteria by the authors (AJ, HB, NH, SK) between July and September 2023, screening both abstracts and titles, and, where required, full texts of articles. All full text articles were available to authors. All study titles and abstracts identified by the searches were screened independently for inclusion in the review by two researchers using the study inclusion criteria. For studies that met the inclusion criteria, full text articles were independently screened and assessed for eligibility by the same two researchers. A third reviewer resolved any discrepancies. The final selection of studies was assessed and approved by all authors.
Quality assessment of the selected articles was then undertaken by the authors (AJ, HB, NH, SK) between October and December 2023. The Critical Appraisal Skills Programme (CASP) templates (Qualitative studies template, and relevant type of Quantitative study, e.g., RCT or Cohort study) were used for qualitative and quantitative studies, and the Mixed Methods Appraisal Tool (MMAT) for studies that applied a mixed methods approach ( 26 , 27 ). For example, cohort studies are rated on items such as clarity of research aims, risk of bias, consideration of confounding variables, accuracy of results and their interpretation. Qualitative studies are rated on items such as validity of research design, reflection on relationship with participants and rigorous analytical methods. No Randomized Controlled Trials (RCTs) were identified in the search (see Tables 1 – 3 ) and therefore a specific Risk of Bias tool was not appropriate to use. Additionally, the CASP tool for quantitative cohort studies which was used to assess the quality of the identified quantitative studies includes two questions relating to bias, which was therefore assessed as part of the overall quality assessment. Two researchers independently rated the quality of each included paper with a third and fourth researcher helping to resolve any discrepancies identified. AJ, HB and NH have authored some of the included studies so were not involved in the quality assessment of those articles. The final ratings of studies were assessed and approved by all authors in a meeting where each paper and its criteria were discussed, to check for parity across studies.
Table 1 . Data extraction from qualitative studies.
Table 2 . Data extraction from mixed methods studies.
Table 3 . Data extraction from quantitative studies.
A data extraction table was designed specifically for this systematic review on the basis of guidance from the Centre for Reviews and Dissemination ( 25 ). It included: population, intervention, context, and outcomes. In addition, details relating to study design and data collection methods were deemed relevant and included in the table ( 63 ). The data was extracted using an Excel template under the following headings: authors, year of publication and country; referral process; study setting and participant characteristics; study design and data collection method; intervention component/activities (including the frequency of sessions); results (including the outcome measures, qualitative themes or statistical analysis) and quality assessment (see Tables 1 – 3 ). Data for each study was extracted by one of the authors (AJ, HB, NH, SK) between October and December 2023 and checked independently by an additional author before data synthesis.
A narrative review of results was undertaken, using multiple strategies to triangulate qualitative and quantitative outcomes. The qualitative results were synthesized using a thematic analysis approach. Data were closely examined to identify common themes – topics, ideas and patterns of meaning that came up repeatedly across studies ( 56 ).
Data that met the following criteria were included in a meta-analysis: included sufficient data (e.g., means and SDs) at pre and post programme points; had not already been presented in another paper; measured a conceptually homogenous outcome using validated measures. The meta-analysis was conducted with a pre-calculated effect-size, random-effects model within SPSS. Data, including means, standard deviations and standard errors were extracted from individual studies, and mean change scores (SDs and SEs) were computed. Egger’s regression-based test, and a ‘trim and fill’ analysis were used to assess publication bias. Heterogeneity in mean change scores was assessed with I 2 and variance across studies predicted with a meta-regression of all process variables common to included studies. Quality ratings were not included as a predictor since there was no variance in these (all being rated ‘medium’), with the same risk of bias issues in all studies (pre-post designs with no comparison groups). The outcomes of non-included studies, and additional, secondary outcome measures and process analyses in included studies, were summarized narratively, focusing on notable trends in the research.
The PRISMA chart ( Figure 1 ) shows the outcome of our database and research register search which identified 7,805 citations. Following title and abstract screening, and full text review of the 29 remaining articles, with application of the inclusion/exclusion criteria, 25 articles remained. As detailed above we also searched relevant websites and research repositories and through this process identified 1,094 research reports and articles. Following title and abstract screening, de-duplication and eligibility review, there was 1 additional research study to include in the final sample ( Figure 1 ).
Figure 1 . PRISMA flow diagram.
There was heterogeneity across study designs and measures used to assess the impact of interventions, as well as in the settings and range of activities offered in Art on Prescription programmes.
Ten studies were qualitative ( 31 , 33 – 39 , 48 , 67 ) using focus group interviews, one-to-one interviews, open question survey data and follow-up questions (see Table 1 ). Seven used mixed methods ( 40 – 46 ) (see Table 2 ). Eight studies used quantitative methods ( 32 , 47 , 49 – 54 ) (see Table 3 ).
Three of the mixed methods studies ( 44 – 46 ) and seven of the quantitative studies ( 32 , 49 – 54 ) used an observational pre-post intervention design, while Bergman et al. ( 47 ) included a treatment-as-usual comparator group (but with pre-follow-up measurement points only). A range of validated measures were used in the quantitative and mixed methods studies including the WEMWBS ( 55 ), Generalized Anxiety Disorder-7 (GAD-7) ( 61 ), Patient Health Questionnaire-8 (PHQ-9) ( 62 ), Hospital Anxiety and Depression Scale (HADS) ( 64 ), Stress Crisis Inventory-93 ( 68 ), Resilience Scale ( 56 ), frailty ( 69 ), loneliness ( 58 , 57 ), and measures of immediate mood: Short Mood Scale ( 70 ) and the UCL Museum Wellbeing measure ( 71 ). Some studies also used unvalidated measures including patient satisfaction surveys developed specifically for the project ( 36 , 41 , 42 ). All quantitative studies reported solely on the impact of interventions on participants.
Of the qualitative studies, seven used semi-structured interviews ( 33 – 35 , 37 – 39 , 67 ), one used in-depth interviews ( 38 ), one combined interviews and focus groups ( 48 ), one used focus groups alone ( 31 ), and one study responses to a qualitative survey ( 36 ). The average number of interviews were 9.8 per study. The focus of the majority of the qualitative and mixed methods studies was on the views of patients or services users. However, three qualitative and one mixed methods study reported on the perceptions of the healthcare professionals, and/or artists who had referred participants to the Arts on Prescription programmes ( 34 , 39 , 42 , 48 ).
Some studies used findings from the same empirical data set, including accruing data sets from Artlift (Gloucestershire, UK) ( 32 , 36 , 43 , 49 , 53 , 54 ); and Arts on Prescription programmes in Sweden and Denmark (Kulturvitaminer, Aalborg Kommune, DK) ( 31 , 33 , 47 , 67 ).
Most of the Arts on Prescription programmes were based in the United Kingdom (UK), with three in Sweden ( 31 , 34 , 47 ) two in Denmark ( 33 , 67 ), one in Australia ( 44 ), and one in the United States (US) ( 42 ). The settings were mostly described as community settings, primary care or a GP surgery, although one study took place during the COVID-19 pandemic and was therefore delivered remotely and one at a school ( 52 ).
Most studies worked with adult populations, although one study was conducted in a school with adolescents aged 13–16 ( 50 ) and one paper included a pilot intervention with young children ( 42 ). Adult participants tended to be older, with mean ages, where reported, being 43–57 years, although one study worked exclusively with participants 65+ with a mean age of 78 ( 44 ). Participants were predominantly female, although two qualitative studies included 50 and 70% male participants ( 37 , 38 ). Where reported, participants mostly identified as White British (77–80%). Some programmes reported a greater proportion of participants from lower socioeconomic groups ( 44 ) and a high proportion of participants described themselves as out of work or unemployed ( 49 , 52 ).
Referral processes varied, and were made by GPs and healthcare professionals in primary health care [e.g., Crone et al. ( 49 )] including psychiatric care ( 47 ), mental health care professionals in primary (and secondary) care sectors [e.g., Redmond et al. ( 37 )], pharmacists, pastoral carers and nurses ( 44 ), professionals from the voluntary sector and Job Centre staff ( 38 , 67 ), school mental health and pastoral care staff ( 50 ), and some studies included self-referrals [e.g., Crone et al. ( 49 )]. The most common reasons for referral to Arts on Prescription programmes were anxiety, depression, poor wellbeing, stress, including that associated with chronic illness and pain, loneliness or major life changes and loss, in addition to bullying, and difficult family situations in the school programme ( 50 ).
The length of the programmes varied between 8 to 12 weeks, apart from one programme where participation was available for up to 6 months ( 35 ), one programme of 20 weeks ( 46 ) and one programme that appeared to be ongoing ( 37 ).
A wide range of different arts activities were reported, including visual arts (photography, painting, sculpting, collage, mark making, mixed media); crafts (textiles, pottery, felting, green crafts); music (listening); singing (choir); dance and movement; literature (playwright, creative writing, poetry) as well as nature hikes, city walks, gallery and museum visits, object handling, film, theatre, and drama.
In terms of study quality, two were scored to be of high quality, six studies were graded as being of low quality, and the remainder were scored to be of medium quality. Quality ratings for individual studies are detailed in Tables 1 – 3 . All quantitative studies received a ‘medium’ rating, most commonly due to: an absence of comparator groups, a lack of longitudinal data, unavailability of data on attrition rates and their impact, selection biases (since outcome data is available only for those who completed programmes), and missing data (e.g., at post-programme or follow-up points). This reflects the potential bias inherent in these studies. Observational studies such as those included in this systematic review are more susceptible to bias than experimental studies such as RCTs, and this is considered in the discussion and acknowledged in the conclusions to this review. These issues also pertained to the quantitative components of mixed-methods studies. Here, more studies received a ‘low’ rating, due to: due to a lack of detail regarding the research process, and the analysis and data being presented in a superficial manner, use of unvalidated psychometric tools, and qualitative data being based on brief comments on evaluation questionnaires rather than in-depth focus groups or interviews. The qualitative research was generally of a higher quality, with two studies receiving a high rating, reflecting clear research aims, interpretation of results, rigor of analysis and reflexivity during the process. Common problems with the qualitative research, however, leading to medium ratings, regarded potential selection biases since participants were likely to be those who enjoyed and completed the programmes and a lack of consideration of the researcher’s role in the process (reflexivity).
The narrative review presents qualitative and quantitative findings separately in order to highlight the impact of Arts on Prescription on individual health and wellbeing from these distinct methods and research aims, without prioritizing one form of data over the other. The qualitative research focused on the subjective meaning of Arts on Prescription to participants, and the quantitative research on change in health and wellbeing over time, using psychometric measures of health and wellbeing from larger cohorts.
The qualitative outcomes were organized into three common themes among the Arts on Prescription studies. The themes are presented as impact on participants (social and psychological) and progression opportunities.
In terms of individual outcomes, the participants reported on common themes in terms of social benefits: social connectedness ( 31 ) and improved social skills and interaction ( 35 , 37 , 38 , 43 , 48 ), e.g., a participant specified; “It’s helped me interact with people more, this course has, and yeah, I’ve made lots of close friends so it’s really good” ( 33 , p. 577). Other social gains were experienced as the ability to foster the development of meaningful relationships with others ( 44 ), increased social confidence ( 36 ), sharing experiences and normalising emotions ( 42 ) as well as breaking and decreasing social isolation ( 41 , 42 ), as a participant stated: “[…] interacting with other people that also helps people in their recovery […]Or, even maintaining wellbeing, interacting with others […]” ( 41 , p. 280) and further building a sense of community ( 45 ).
However, some participants also reported finding the social setting difficult to manage (e.g., feeling disconnect from others and having social anxiety) ( 39 , 43 ) which perpetuates the discussion about how Arts on Prescription programmes should be delivered, and the negative sides of group interaction ( 10 , 72 ) and emphasises that one-size does not fit all when it comes to health promoting activities, where individual and cultural preferences should be considered ( 10 ). According to a participant: “Other participants can make you feel uncomfortable” ( 39 , p. 10). Others reported participation limitations due to physical barriers, e.g., tremors from medication or being a slow thinker ( 39 ).
Participants reported various psychological benefits including increased self-confidence ( 37 , 41 , 42 , 67 ), improved self-esteem ( 45 ) and a sense of achievement ( 41 , 44 ). A participant specified:” It’s the best thing I’ve done. It’s given me confidence […] since I’ve started art. I have started volunteering again […]” ( 33 , p. 577). Participants also experienced engagement and pleasure ( 33 ) and described arts activities as positive distractions, enabling absorption and forgetting worries and concerns ( 43 ). In terms of self-efficacy ( 33 , 37 , 42 ) participants reported a move from self-critical to self-caring as a participant expressed” […]I’ve a better sense of myself and self-esteem and do things that are good for me […] ( 67 ). Others reported gaining and increasing motivation ( 37 , 43 ) empowerment ( 44 ) and control in life ( 41 ).
However, one study also found that positive wellbeing outcomes (relaxation and distraction) varied according to the nature of the interactions between individuals in the Arts on Prescription group ( 43 ) – which indicates that group dynamics and group facilitation are important for psychological benefits to occur ( 10 ).
Another theme that occurred across different studies related to participants’ progression. Progression outcomes on mental and spiritual levels were reported as an ability to determine a new future ( 38 ); expanding worlds, as a participant expressed: “It has given me a desire to experience more. It is as if the world has become bigger, I think ” ( 31 ), p. 5; accessing new worlds, assuming and sustaining new identities ( 37 ); health promoting changes ( 31 ) and positive changes in life ( 67 ). On a more practical level, progression meant joining new activities ( 41 ), and a shift to gain a sense of direction ( 44 ) and returning to normality ( 35 ). As stated by a participant: “[…] feeling normal…it’s not feeling tired, achy, sad […] ” ( 48 ), p. 70. Another participant further stated: “ It’s moved me on ” ( 67 ), p. 11.
However, some participants also reported feeling anxious about the end of the programme and losing the support from the group ( 43 ). The negative consequence of a lack of new opportunities and further pathways for Arts on Prescription participants was considered in various studies ( 10 , 36 , 43 ) Authors of an Arts on Prescription study identified that “ participants also perceived the inevitability of the course ending as a cause for concern. They felt anxious about the prospect of losing the support structure that they relied upon and lacked the confidence to maintain their health and wellbeing on their own ” ( 39 , p. 13).
The qualitative findings illustrate that across the studies participants experienced positive social and psychological results and progression outcomes on mental and spiritual levels as well as on practical levels. However, the participants also reported feeling anxious about the ending of the programme and, for some, the negative impact of group dynamics.
All 15 quantitative and mixed-method studies reported improvements in outcomes across Arts on Prescription programmes ( Tables 2 , 3 ). This included improvements in wellbeing in twelve studies ( 32 , 40 , 41 , 43 , 44 , 46 , 49 – 54 ) reductions in symptoms of anxiety and depression in two studies ( 47 , 54 ), and improvements in a range of additional outcomes (including resilience, creativity, loneliness, mood; but not frailty or satisfaction with relationships) ( 44 , 45 , 50 , 52 ). Some studies focused on process rather than outcome factors, examining data sets for predictors of wellbeing change, including demographics, wellbeing at baseline, and experience during art workshops as predictors ( 43 , 46 , 49 , 51 – 53 ). A meta-analysis of primary outcomes and a narrative review of additional outcomes (secondary outcome measures, longitudinal data and process factors) is presented below.
Only seven out of 15 quantitative/mixed methods studies met the inclusion criteria for the meta-analysis, the most common reason being due to duplicated data ( 32 , 40 , 43 , 53 ), followed by insufficient data ( 41 , 42 , 47 ), including having no data immediately post-intervention; and one heterogeneous outcome (momentary mood rather than long-term wellbeing) ( 45 ). All seven included studies assessed subjective wellbeing, using the WEMWBS as an outcome measure. The WEMWBS measures broad aspects of mental wellbeing, including cognitive, affective and social experiences (e.g., being able to concentrate, experiencing moments of joy and feeling connected to others) ( 55 ). Mean WEMWBS scores were typically low at the outset (ranging from 36 to 39, indicative of ‘low wellbeing’ in the scale’s normative data (the lowest 15% of scores being below 42)) [apart from in Poulos et al., ( 44 )]. Most studies reported a mean WEMWBS above 42 at the end of the art programme (means ranging from 41 to 57). Mean WEMWBS scores rose by 4 to 8 units, all of which are above that thought to indicate a minimally important level of change [a change of 3 units or more ( 73 )].
For the meta-analysis WEMWBS data (mean scores pre and post Arts on Prescription programmes, standard deviations and standard errors) were extracted from individual studies, and mean change scores (SDs and SEs) were computed. Mean change (between pre and post WEMWBS scores) was used as the effect size (for ease of interpretation, since all studies used the same outcome measure and did not require standardization). These effect sizes are plotted in Figure 2 . The Egger’s regression-based test, and no imputation being needed in a ‘trim and fill’ analysis, indicated that publication bias was not a problem in the sample ( 70 ). The overall mean wellbeing change was 5.82 (SE = 0.471), which was statistically significant ( Z = 12.357, p <. 001, 95% CI 4.90–6.748). Even the low estimate of the 95% confidence interval indicates a mean difference of 4.9, which is greater than the minimally important level of change (of 3) ( 57 ), reflecting the significant improvement in wellbeing in all individual studies.
Figure 2 . Forest plot illustrating mean wellbeing change (and confidence interval) for each study in the meta-analysis and estimated overall effect size.
Despite this, there was significant heterogeneity in mean change scores ( Q = 14.581, df = 6, p = 0.024), with an I 2 of 57% (a moderate effect size, indicating that 57% of the variance in mean change scores between studies could not be explained by sampling error). Hence, variation in the efficacy of programmes could be explained by other factors, such as participant characteristics (age, reasons for referral, baseline wellbeing), intervention settings (e.g., schools, remote delivery, GP surgeries, community hubs) or intervention processes (e.g., group sizes, art activities, length of programmes, participant rapport or engagement).
A meta-regression with process variables available for all studies (baseline wellbeing, programme length, mean age and % female) was therefore conducted to test whether these explained variance in mean wellbeing change across studies. With their inclusion the unexplained residual heterogeneity was no longer statistically significant ( Q = 1.839, df = 2, p = 0.339). No individual predictors were independently statistically significant (possibly due to low statistical power with only seven studies). Nevertheless, as indicated in Table 4 , studies with larger mean changes in wellbeing were more likely to have: longer programmes, older participants, participants with lower mean WEMWBS scores at baseline, and a lower % of females in groups (%s ranging from 67 to 92); the strongest effect size being for programme length.
Table 4 . Parameter estimates and statistical significance for meta-regression, with the effect estimate of mean wellbeing change.
The consistent increase in wellbeing scores reported across Arts on Prescription programmes was supported by further studies showing statistically significant improvements in clinical and social outcomes. These included symptoms of anxiety and depression ( 47 , 54 ), mood ( 45 ) and feelings of loneliness (but not satisfaction with relationships) in a remotely delivered Arts on Prescription programme ( 52 ). In the school Arts on Prescription intervention ( 50 ) resilience scores significantly increased, indicating that pupils felt better able to cope with adversity (regulating reactions and persevering despite setbacks) ( 56 ). In Poulos et al.’s ( 44 ) study with older adults, self-perceived creativity and engagement with creative activities significantly increased following the arts programme, however, frailty including self-reported exhaustion, slow walking speed and grip strength ( 69 ) did not.
In the only study with a comparator condition, Bergman et al. ( 47 ) examined the impact of Arts on Prescription for patients on sick leave due to common mental disorders and/or musculoskeletal pain. Patients completed measures of stress (SCI-93) and anxiety and depression (HADS) at baseline and at follow-up (either 6 or 12 months after the intervention). Participants were referred to Arts on Prescription programmes in the usual way, and control participants were receiving treatment as usual, and were invited through a stratified selection process of people meeting the study’s inclusion criteria. Both groups reported a significant reduction in both stress and anxiety and depression across time points. However, the Arts on Prescription group reported greater reductions, which reached statistical significance for anxiety and depression. This supports the use of Arts on Prescription for the reduction of anxiety and depression, in line with Sumner et al. ( 54 ). However, since clinical outcomes were not taken at the end of the ten-week-long intervention, it is not clear what the immediate impact of participation was on symptoms.
As discussed above, Bergman et al. ( 47 ) reported that anxiety and depression was lower than at baseline for participants at a follow-up point (either 6-or 12-months post-intervention). One further study included a follow-up data point, at 3 months ( 50 ). There was no significant increase in either wellbeing or resilience compared to baseline at this stage. However, this outcome was difficult to interpret due to large amounts of missing data at follow-up.
While there is little longitudinal data available on Arts on Prescription, two additional studies examined the impact of re-referrals ( 51 , 54 ). For re-referred participants there were significant improvements in wellbeing, anxiety and depression across programmes, and a significantly higher level of wellbeing than at the end of one referral period alone ( 51 ), suggesting accrued benefits of longer attendance. However, there was a rebound to lower levels of wellbeing between referral cycles in both studies. It is important to note that these participants have been re-referred and thus are thought to require further support. Further work is required to identify whether this rebound occurs for all participants and to investigate the longitudinal impact of Arts on Prescription. The long-term impact of engagement is difficult to discern from these limited and mixed outcomes.
Several quantitative studies included analysis of process factors, seeking to identify good practice and ‘active ingredients’ ( 43 , 46 , 49 , 51 – 53 ). It is important to note that while average improvements in wellbeing across programmes have been consistently reported, not all individuals report improvements in wellbeing ( 46 , 51 , 52 ). Several studies have examined whether patient characteristics or process variables predict the extent of wellbeing change. Statistically significant predictors of wellbeing change in these studies: attendance ( 53 ) an 8 versus 10-week-long programme ( 49 ); lower baseline wellbeing scores ( 49 ); a reduction in anxiety during the art workshops; being able to get absorbed in the art making (enter the ‘flow state); feeling less lonely during art workshops ( 51 , 52 ); and ethnicity (with a greater increase for participants identifying as BME) ( 46 ). Neither the presence of multi-morbidities (multiple medical complaints) nor additional demographic data have predicted the extent of wellbeing change ( 53 ), suggesting that Arts on Prescription is widely beneficial across referral types. Overall, these outcomes suggest that features of programmes (e.g., length), participants (e.g., wellbeing) and engagement with workshops (e.g., attendance and getting absorbed in activities) affect the extent to which wellbeing is improved.
Overall, these quantitative outcomes support the use of Arts on Prescription for improving mental wellbeing, with an overall mean wellbeing change of 5.82, and with some support for reduction of anxiety and depression ( 47 , 54 ). Strengths of the research include several studies using the same measures, enabling direct comparison, high ecological validity (being based in primary care and community settings), and useful research on process variables, which inform best practice. However, limitations with the studies are varied and include an absence of comparator groups, a lack of longitudinal data, and unavailability of data on attrition rates and their impact in several studies. These quality issues will be further explored in the discussion.
To the authors’ knowledge this is the first systematic review reporting the wellbeing impact of participating in Arts on Prescription. Evidence from across the 25 studies included in the review indicates that Arts on Prescription has both a meaningful personal impact and statistically significant impact on subjective wellbeing. The narrative review of qualitative studies supported the view that participants found Art on Prescription helped to improve social and psychological wellbeing, and that this ‘rippled out’ to affect lives beyond the programmes. The meta-analysis supported this with a significant increase in wellbeing across included studies, while the narrative review of secondary outcomes suggested a role for reduction in anxiety and depression, and suggested useful process factors that increase ‘wellbeing change’ across programmes. These findings support other reviews on the benefits of engaging with the arts for mental health in other settings and suggest that Arts on Prescription is an appropriate intervention for improving psychosocial wellbeing ( 74 – 76 ). However, there are numerous caveats with the evidence base and challenges with delivery and development of best practice, which will be considered below.
Although the pre-post quantitative data show the effectiveness of Arts on Prescription on well-being, the qualitative data from across the mixed methods and the qualitative studies add an indication as to why this may be the case. Across these studies there were reports of psychological and social benefits. Participants reported enjoyment and pleasure which are linked to the hedonistic elements of wellbeing ( 77 ). Furthermore, there were examples of a sense of purpose, meaningful engagement, absorption in art activities, and self-development through increased self-confidence and self-esteem, which contribute to eudaimonic wellbeing ( 78 , 79 ). In addition, participants were able to develop relationships, which may also reduce loneliness, and contribute to a sense of relatedness, fundamental to wellbeing ( 80 ). Quantitative process research added to this qualitative research, suggesting that multiple, independent mechanisms lead to wellbeing change across Arts on Prescription programmes: feeling less anxious in art workshops; getting into an absorbed attentional state; and feeling connected to others ( 51 , 52 ). These outcomes suggest that by engaging in Arts on Prescription participants have the opportunity to develop psychosocial components that are central to numerous models of wellbeing, for example, the five components of the PERMA model, where wellbeing is constituted by: (1) experiencing positive emotional states in everyday life; (2) getting deeply involved and absorbed in meaningful activities in everyday life; (3) positive relationships and interactions with others; (4) a sense of purpose and meaning in life; and (5) a sense of accomplishment, of self-efficacy, working toward and reaching goals in everyday life ( 79 ).
The qualitative work suggests that participants felt that this pathway to wellbeing was enabled by the creation of a ‘safe space’ by the arts facilitator [e.g., Stickley and Hui ( 38 )], where it was safe to ‘play’ and create, and through social bonding ( 72 ). Hughes et al. ( 43 ) proposed a process of change model, where social bonding enables subsequent psychological benefits, since feeling socially safe, allows relaxation and opportunities to go into a state of ‘flow’ while making art, unlocking mechanisms for eudaimonic wellbeing ( 78 ). As such, the review suggests that Arts on Prescription improves wellbeing, as part of a ‘social cure approach’ ( 72 , 81 ), but that this is only part of the picture, with additional psychological mechanisms also being important.
Beyond the immediate impact of the programmes Arts on Prescription was perceived in qualitative research to act as a catalyst into other activities ( 67 ) that continued to develop wellbeing (although opportunities for other programmes were described as limited). This raises the issue of how to best support individuals at the end of programmes, and the potential negative consequences for wellbeing that could arise for some at the end of the group, if other opportunities, such as ‘move on’ community art groups are not available ( 10 , 58 ). It also reminds us that there is very little research on Arts on Prescription from a longitudinal perspective, nor of the factors that are required to maintain wellbeing after the end of programmes.
Whilst most of the studies focused on reporting the benefits and positive impact of the Arts on Prescription programmes there were some that also reported barriers to participation. These barriers for individual participants included difficulties with access, such barriers could be physical, socio-economic and/or psychological. There were also barriers to recruitment identified which were linked to health care professionals’ awareness and perceptions about the service, but also potential systemic barriers due to funding and commissioning of services ( 42 , 44 ).
Physical barriers to attending Arts on Prescription included transportation for participants, this was an issue for some specific groups such as children needing arrangements to be made with parents or guardians, and for those with mobility issues for example Parkinson’s Disease, parking was also reported to be an issue at some venues ( 42 ). Poulous et al. ( 44 ) also questioned whether physical frailty and limited mobility were potential barriers to access for the older people living in the community (the target group for their Arts on Prescription programme). There were similar issues cited by participants in Hughes et al.’s ( 43 ) study who reported physical limitations as barriers, likewise Crone et al. ( 49 ) reported that patients with multimorbidities were less likely to attend. Mental ill health factors were also potential risks to being able to attend the sessions.
Both the qualitative studies and the quantitative process-research identified potential barriers to participation. Individuals with lower levels of wellbeing at the start of programmes were found to have more difficulties attending and engaging, as were those with more reasons for referral (multimorbidities), and both higher and lower levels of deprivation ( 49 ). Levels of wellbeing, anxiety and depression were very low at baseline for some participants, hence Sumner et al. ( 53 ) raised concerns about screening for participation, given that people with high levels of depression/anxiety may struggle to engage and may be ‘set up for failure’ ( 49 , 54 ).
Low participant engagement has also been identified as an issue in some Social Prescribing projects. For example, Pescheny et al. ( 7 ), identified that patients’ lack of interest and scepticism about the potential benefits of Social Prescribing, preference for a medical solution, transport issues and concern with stigma due to links with mental health services explained low engagement in two of the evaluations included in their systematic review. Fear of stigmatization may also be associated with interventions that explicitly target loneliness and can unintentionally create barriers to accessing support. However, it has been suggested ( 82 ) that group activities that connect people, but are not explicitly targeted at reducing loneliness, could be a solution to this. Arts on Prescription programmes foster social connections and may therefore be a suitable intervention, but as Bungay et al. ( 10 ) highlight, not all people enjoy sharing group practices and the group may not be perceived to be a positive safe space for some and may reinforce feelings of social isolation.
Most of the Arts on Prescription programmes featured in the current review were held face to face, but during the COVID-19 pandemic some moved to remote delivery formats, and this could be a good alternative at ‘normal’ times for those experiencing physical barriers to access due to transport issues, or psychological barriers due to reluctance to leave the house. Research by Holt ( 52 ) looked at experiences of remote Arts on Prescription workshops, the pre-post intervention design identified that global wellbeing improved and there was also a reduction in loneliness, but it needs to be acknowledged that lack of access to digital resources may be an issue for some and that a ‘going somewhere’ and ‘physically meeting’ others might be an important element of the Arts on Prescription programmes.
Disadvantaged communities may experience barriers to accessing online resources, indeed, Golden et al. ( 42 ) found that where online activities were offered this was a barrier for those lacking digital access. They also reported that where English is the primary language used in cultural venues it could be problematic for those for whom English is a second language and for those with literacy issues within diverse populations.
Sumner et al. ( 54 ) found that deprivation was associated with attendance, with those from the median deprivation quintile being more likely to attend. For some ‘arts’ and cultural spaces may be considered elitist and as a result people may feel excluded and that they do not belong in such places or the ‘arts’ aren’t for them and feel intimidated in cultural spaces. As stated above, exclusion or sense of belonging may also be due to the group dynamics with not everyone having a positive experience of being in a group with some feeling that they do not belong in the group or feel excluded ( 72 ). Similarly, not all people see themselves as ‘creatives’ ( 44 ) and this may present a further barrier to attendance. People with chronic mental health problems may experience persistent difficulties with ‘going out’ and re-engaging with everyday life prior to attending the programme ( 35 ). Crone et al., ( 49 ) also found that those with lower levels of wellbeing at baseline were less likely to attend the programme and called for further research to explore the reasons behind this, although this may be explained by the difficulties faced by some in ‘re-engaging with everyday life’. This gives some indication as to why not all those referred to Arts on Prescription programmes attend, as they need to overcome those hurdles to be able to engage with the group.
Where gender was reported, the Arts on Prescription programmes appear from the studies in this review to be dominated by women with relatively few men taking up the opportunity [other than: Stickley and Hui ( 38 ); Stickley and Eades ( 37 )]. For example, in Bergman et al. ( 31 ) all the participants were women, in Poulous et al. ( 44 ) 74% were women, and in Crone et al. ( 49 ) 79% were women. Women are more likely to join community-based social groups than men ( 83 ) and this may explain the preponderance of women in most of the studies. However, no detail is provided in any of the studies as to whom is offered Arts on Prescription, so it is not possible to determine if there is an inherent bias due to more women than men being offered the opportunity to attend the programmes.
In terms of attending the sessions Crone et al. ( 32 ) suggested that the reason why older participants engaged in the programmes in their study was that older people were more likely to attend GP surgeries – and explain the older participants in their sample. However, this was not reflected across all the studies reviewed. The demographic characteristics of the populations in the reviewed studies suggests the need for further research to look at who is referred to Arts on Prescription and who attends and engages once referred.
The duration programmes, in terms of the number of weeks across which sessions ran, was reported as a factor which may impact on people attending ( 49 ). In their research it was found that when the duration of the course was cut participation and the wellbeing scores increased. However, in Jensen and Bungay ( 34 ) health professionals reflected that recovery from mental health problems took time and suggested that a ten-week programme could only be a starting point to get people motivated to do other things. Further, in this review, it was noted that higher levels of wellbeing were reported at the end of programmes that ran for a longer period of time, and for participants who were re-referred to a second programme ( 46 , 51 , 54 ). Another important finding of Crone et al. ( 49 ) was that greater choice of locality, art type and activity lead to higher levels of engagement with the programme. Therefore, careful consideration of the delivery and structure of a programme, locations, and what is offered may support recruitment and engagement.
In terms of systemic barriers to Arts on Prescription programmes, one of the earliest reports on an evaluation of an AoP programme (‘Time Being’ on the Isle of Wight) by Eades and Ager ( 41 ) outlined the difficulties in integrating arts as healthcare. What is interesting in this article is the discussion section that focuses on the political and institutional challenges faced when trying to establish and maintain a programme. This included structural changes to the NHS and whilst ‘Time Being’ was found to have positive impacts on participants over the years that it ran, the NHS and Primary Care Trusts became focused on economic impacts, and for them to commission new activity, including arts as health programmes, required the demonstration of health gains, cost benefits, and service improvements. Those referring to an existing Arts on Prescription programme referred to the need to evidence the outcomes ( 39 ) and expressed hope that Arts on Prescription became regarded as cost effective, also recognising the need for the service to be commissioned by General Practitioners for it to continue. This still has resonance today as there is a continuing issue for organizations seeking funding to establish Arts on Prescription or similar programmes of activity as part of the Social prescribing offer more widely.
Eades and Ager ( 41 ) also reported that at the beginning of ‘Time Being’ it was difficult to engage medical professionals fully and gain recognition for the potential benefits of Arts on Prescription. Likewise in Australia, Poulous et al. ( 44 ), found it necessary to raise healthcare practitioners’ awareness of an Arts on Prescription programme to promote recruitment. This took considerable effort, both to raise awareness in the community and to educate health care practitioners about its potential uses and benefits. For the implementation of social prescribing interventions Pescheny et al. ( 7 ) suggested a phased approach to the rollout of programmes, because it provides time for the development of effective partnerships between General Practitioner surgeries and third sector organizations. Participants in Jensen and Bungay’s ( 34 ) study, however, suggested that because of time pressures and stressors in primary care, practitioners may forget about alternative interventions to alleviate mild to moderate depression. Furthermore, it was also suggested that referral to Arts on Prescription required a shift away from the dominant medical model of health to a more holistic social model of care.
In addition to knowing very little about how artist facilitators run the various art programmes reviewed here, there is very little knowledge about how the arts programmes are designed, for example, what specific activities were included, and why, whether the skill required to complete art activities was scaffolded across programmes, etc. If we want to understand more about the various arts’ impact on the individual and to design programmes with maximum benefit, it is imperative to know whether specific arts activities may help in different ways, need to be approached and introduced in certain ways, and whether there are different outcomes by offering, e.g., participants 10 weeks focusing just on visual arts [e.g., Crone et al., ( 32 )] versus a programme that includes various art activities (literature, theatre, dance, music, etc.) at different locations ( 67 ). Clarification of these issues could draw and build upon experimental work on the arts and health, showing that the arts can be used in different ways for different health outcomes, where, for example, greater mood improvement and engagement is achieved when art activities match skill levels ( 84 , 85 ).
While the current review supports the use of Arts on Prescription for improving psychosocial wellbeing, a number of caveats with the evidence base must be considered. Firstly, the quality rating of most studies was medium, and none of the quantitative studies were rated as ‘high’. This reflects the challenges with meeting the requirements of RCTs (especially when Arts on Prescription is a ‘personalized prescription’), with selection biases in those who participate in the completion of questionnaires and interviews, with unreported attrition rates in many studies (potentially leading to a biased sample), and with potential reporting biases and demand characteristics (where participants may complete end of programme questionnaires with an expectation to feel better, or wish to demonstrate this to artist facilitators). While Egger’s regression-based test indicated there was not a problem with publication bias in the studies included in the meta-analysis, it is still possible that studies with positive changes in wellbeing were more likely to be reported, and reporting and sharing of all outcomes should be encouraged, and a large pre-registered trial, across different Arts on Prescription programmes would be useful. Further research with comparator groups (e.g., treatment as usual), or wait-list groups, would be useful to help control for contextual variables [following Bergman et al. ( 47 )], as would research with active comparator groups (e.g., low intensity group therapy), to help identify the specific benefits of Arts on Prescription. However, other methods could help to improve the evidence base, for example methods and ecological momentary assessment designs, where individuals can act as their own controls in ‘non-treatment’ periods and more data on longitudinal and process factors can also be collected ( 4 ).
Our review points to a number of gaps in the current evidence base. For example, it is not clear who Arts on Prescription works best for, and whether Arts on Prescription may be useful for other reasons than to improve psychosocial wellbeing, for example, to help people to manage chronic conditions. More research is required using specific outcome measures such as anxiety and depression ( 54 ) and loneliness ( 52 ), as well as with both specific and more diverse populations (e.g., children and young people, male groups, people with chronic health conditions). Further, there has been a reliance on the use of the WEMWBS, partly due to its ease of administration, but consideration of more complex, dimensional models of wellbeing, as discussed above (e.g., the PERMA model) could increase understanding of how, and in what way, Arts on Prescription impacts wellbeing ( 76 , 79 ).
We acknowledge that other research papers are relevant in the category of SP programmes that offer cultural activities and which add to our understanding of the cultural benefits of the arts [see for example Todd et al. ( 86 ) and Thomson et al. ( 87 )] for Museums on Prescription, Helitzer et al. Singing on Prescription ( 88 ). However, the studies did not meet the inclusion criteria for this review [e.g., being a review paper ( 88 )], or being outside the scope of search terms due to focusing on ‘non art’ based museum activities (such as object handling or reminiscence activities based around Museum exhibits), due to referral processes not being specified or due to not being group activities ( 86 , 87 ).
We used clearly defined aims and followed PRISMA reporting guidelines for this systematic review. However, we did not examine trial websites. As we are familiar with the area of Arts on Prescription, we have increased confidence that the available evidence has been identified. We also applied standardized tools for the appraisal process (CASP, MMAT). The synthesis of the studies has allowed for identification of qualitative themes and a meta-analysis and narrative review of quantitative outcomes.
However, it is possible that some grey literature that has not been published in formal ways (i.e., books and journals), could have been missed, although we also searched the websites of organizations. A range of keywords were used for the searches; however, studies might have been missed due to incorrect categorising or indexing in the databases. The review was limited to English language publication and other relevant studies may have been published in other languages.
The current review supports the use of Arts on Prescription for the improvement of psychosocial wellbeing. Quantitative data consistently reported improvements in health and wellbeing, and qualitative studies reported that participants found Arts on Prescription meaningful, helping to improve their psychological and social wellbeing. While this suggests that Arts on Prescription is a useful intervention in primary care settings, limitations with the evidence base, and barriers to engagement reported on in the review must also be considered. These include a reliance on observational quantitative studies and selection biases in qualitative research. Further, Arts on Prescription participants have tended to have a limited demographic (being mostly female, older and white), and reasons for this lack of diversity need to be investigated and remedied. Numerous barriers to engagement have been suggested, including physical, psychological, and social barriers, which have implications for practice. More work seeking to understand the nature of art activities that are offered and their impact, and to develop good practice and training for Arts on Prescription facilitators is required. Further research is required to include comparator groups, improve understanding of longitudinal impact and mechanisms by which Arts on Prescription improves wellbeing. Synthesizing the best available evidence on Arts on Prescription programmes, we hope this review is considered useful both in terms of practice and policy making.
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
AJ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Writing – original draft, Writing – review & editing. NH: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. SH: Data curation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing. HB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing.
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Keywords: arts on prescription, arts on referral, health, mental wellbeing, arts activities, social prescribing, culture on prescription, primary healthcare
Citation: Jensen A, Holt N, Honda S and Bungay H (2024) The impact of arts on prescription on individual health and wellbeing: a systematic review with meta-analysis. Front. Public Health . 12:1412306. doi: 10.3389/fpubh.2024.1412306
Received: 04 April 2024; Accepted: 26 June 2024; Published: 09 July 2024.
Reviewed by:
Copyright © 2024 Jensen, Holt, Honda and Bungay. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Anita Jensen, [email protected]
† ORCID: Anita Jensen, https://orcid.org/0000-0002-4771-7768 Nicola Holt, https://orcid.org/0000-0003-4994-7214 Hilary Bungay, https://orcid.org/0000-0001-8202-4521
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Review articles are an important source of clinical information for family physicians. However, the volume of available reviews is vast and their scientific quality varies enormously. Family physicians must be able to identify trustworthy reviews quickly. This article outlines practical and flexible guidelines for critical appraisal and discusses the respective roles of review articles and original research reports in guiding clinical practice.
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Critical appraisal tools and reporting guidelines are the two most important instruments available to researchers and practitioners involved in research, evidence-based practice, and policymaking. Each of these instruments has unique characteristics, and both instruments play an essential role in evidence-based practice and decision-making.
Critical appraisal of scientific literature is an important skill to be mastered not only by academic medical professionals but also by those involved in clinical practice. Before incorporating changes into the management of their patients, a thorough evaluation of the current or published literature is an important step in clinical practice.
In the context of a literature search, critical appraisal is the process of systematically evaluating and assessing the research you have found in order to determine its quality and validity. It is essential to evidence-based practice. More formally, critical appraisal is a systematic evaluation of research papers in order to answer the ...
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A formal literature review is an evidence-based, in-depth analysis of a subject. There are many reasons for writing one and these will influence the length and style of your review, but in essence a literature review is a critical appraisal of the current collective knowledge on a subject. Rather than just being an exhaustive list of all that ...
Critical appraisal is the course of action for watchfully and systematically examining research to assess its reliability, value and relevance in order to direct professionals in their vital clinical decision making [ 1 ]. Critical appraisal is essential to: Continuing Professional Development (CPD).
The purpose of the current article is to define critical appraisal, identify its benefits, discuss conceptual issues influencing the adequacy of a critical appraisal, and detail procedures to help reviewers undertake critical appraisals. A critical appraisal involves a careful and systematic assessment of a study's trustworthiness or ...
JBI Critical appraisal tools have been developed by the JBI and collaborators and approved by the JBI Scientific Committee following extensive peer review. Although designed for use in systematic reviews, JBI critical appraisal tools can also be used when creating Critically Appraised Topics (CAT), in journal clubs and as an educational tool.
Critical appraisal of research papers is a component of everyday academic life, whether as a student as part of an assignment, as a researcher as part of a literature review or as a teacher preparing a lecture. Learn more from this post.
Critical appraisal is the process of carefully, judiciously and systematically examining research to adjudicate its trustworthiness and its value and relevance in clinical practice.
Appraise Your Research Articles The structure of a literature review should include the following: An overview of the subject, issue, or theory under consideration, along with the objectives of the literature review, Division of works under review into themes or categories [e.g. works that support a particular position, those against, and those offering alternative approaches entirely], An ...
Documenting critical appraisal decisions. As you closely examine full articles, you will be making judgements about why to include or exclude each study from your review. Documenting your reasoning will help you reassure yourself and demonstrate to others that you have been systematic and unbiased in your appraisal decisions.
This Review article presents a 10-step guide to the critical appraisal of research literature to assist clinicians with the task of identifying the most relevant, high-quality studies available to ...
Critical Appraisal Some reviews require a critical appraisal for each study that makes it through the screening process. This involves a risk of bias assessment and/or a quality assessment. The goal of these reviews is not just to find all of the studies, but to determine their methodological rigor, and therefore, their credibility. "Critical appraisal is the balanced assessment of a piece of ...
Critical appraisal is the assessment of research studies' worth to clinical practice. Critical appraisal—the heart of evidence-based practice—involves four phases: rapid critical appraisal, evaluation, synthesis, and recommendation. This article reviews each phase and provides examples, tips, and caveats to help evidence appraisers ...
Tools for Critical Appraisal of Studies. "The purpose of critical appraisal is to determine the scientific merit of a research report and its applicability to clinical decision making."1 Conducting a critical appraisal of a study is imperative to any well executed evidence review, but the process can be time consuming and difficult.2 The ...
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Critical appraisal refers to the process of judging the validity and quality of a research paper. Because your review will be a synthesis of the research conducted by others, it is important to consider major points about the studies you include such as: Is the study valid?
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Checklist Given the surge in poor-quality systematic review publications, we sought to describe a checklist of seven practical tips from the authors' collective experience of writing and critically appraising systematic reviews, hoping that they will assist busy clinicians to critically appraise systematic reviews both as manuscript reviewers and as readers and research users.
Data synthesis: A systematic review is a review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant original research, and to collect and analyze data from the studies that are included in the review. Critical appraisal methods address both the credibility (quality of ...
Critical appraisal is the process of systematically evaluating the methodology and results of research studies in terms of validity, value and relevance. This course will be a great place to start for anyone who wants to learn more about critical appraisal of the literature - for any purpose, even purposes you hadn't thought of yet!
existing literature on a particular topic of interest. Critical reviews take a reflective look at the research that has been done in a particular area of interest and assess its credibility by using appraisal instruments or critical interpretive methods. Critical reviews attempt to constructively inform other scholars about the
Ventilator-associated pneumonia (VAP) is a prevalent and grave hospital-acquired infection that affects mechanically ventilated patients. Diverse diagnostic criteria can significantly affect VAP research by complicating the identification and management of the condition, which may also impact clinical management. We conducted this review to assess the diagnostic criteria and the definitions of ...
This paper reports on a comprehensive literature review using the Systematic Literature Review approach to improve agility and flexibility at the Sustainable Supply Chain Management (SSCM) level. T...
This review aims to address knowledge gaps in the 2020 consensus on CACs of major European medical associations, considering novel evidence on critical issues in both pre- and in-hospital OHCA management, such as the timing of coronary angiography and the use of extracorporeal cardiopulmonary resuscitation (eCPR).
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Semantic Scholar extracted view of "Systematic Review and Critical Appraisal of Cauda Equina Syndrome Management During Pregnancy" by Chinedu Egu et al.
Abstract. Review articles are an important source of clinical information for family physicians. However, the volume of available reviews is vast and their scientific quality varies enormously. Family physicians must be able to identify trustworthy reviews quickly. This article outlines practical and flexible guidelines for critical appraisal ...