Evidence map›Paper›PMID 37899074›Full record

SynthesisBMJ mental health2023

Tool to assess risk of bias in studies estimating the prevalence of mental health disorders (RoB-PrevMH).

Thomy Tonia, Diana Buitrago-Garcia, Natalie Luise Peter, Cristina Mesa-Vieira, Tianjing Li, Toshi A Furukawa, Andrea Cipriani, Stefan Leucht, Nicola Low, Georgia Salanti

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  4. The Prevalence of Excessive Exercise in Eating Disorders: A Systematic Review and Meta-Analysis.European eating disorders review : the journal of the Eating Disorders Association · 2025
    Pooled it
  5. Revictimisation Across Types of Interpersonal Violence: A Meta-Regression Analysis of PTSD and Associated Factors.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Pooled it
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Thomy ToniaInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland thomai.tonia@unibe.ch.ORCID 0000-0001-7896-6188
Diana Buitrago-GarciaInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-9761-206X
Natalie Luise PeterDepartment of Psychiatry and Psychotherapy, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, München, Germany.ORCID 0000-0002-5058-3270
Cristina Mesa-VieiraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-6738-4203
Tianjing LiDepartment of Ophthalmology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Toshi A FurukawaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan.ORCID 0000-0003-2159-3776
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0001-5179-8321
Stefan LeuchtDepartment of Psychiatry and Psychotherapy, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Freising, Germany.ORCID 0000-0002-4934-4352
Nicola LowInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0003-4817-8986
Georgia SalantiInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-3830-8508

Funding

Maximizing Use of High-Quality Evidence in Eye Care: Cochrane Eyes and Vision US ProjectUG1EY020522 · NEI · UNIVERSITY OF COLORADO DENVER · PI Tianjing Li · 2017 to 2026
$10.1M
NEI NIH HHS UG1 EY020522
6 · The paper itself

Abstract

objectiveThere is no standard tool for assessing risk of bias (RoB) in prevalence studies. For the purposes of a living systematic review during the COVID-19 pandemic, we developed a tool to evaluate RoB in studies measuring the prevalence of mental health disorders (RoB-PrevMH) and tested inter-rater reliability.

methodsWe decided on items and signalling questions to include in RoB-PrevMH through iterative discussions. We tested the reliability of assessments by different users with two sets of prevalence studies. The first set included a random sample of 50 studies from our living systematic review. The second set included 33 studies from a systematic review of the prevalence of post-traumatic stress disorders, major depression and generalised anxiety disorder. We assessed the inter-rater agreement by calculating the proportion of agreement and Kappa statistic for each item.

resultsRoB-PrevMH consists of three items that address selection bias and information bias. Introductory and signalling questions guide the application of the tool to the review question. The inter-rater agreement for the three items was 83%, 90% and 93%. The weighted kappa scores were 0.63 (95% CI 0.54 to 0.73), 0.71 (95% CI 0.67 to 0.85) and 0.32 (95% CI -0.04 to 0.63), respectively.

conclusionsRoB-PrevMH is a brief, user-friendly and adaptable tool for assessing RoB in studies on prevalence of mental health disorders. Initial results for inter-rater agreement were fair to substantial. The tool's validity, reliability and applicability should be assessed in future projects.

Indexed as

Mental HealthPandemicsBiasHumansPrevalenceReproducibility of Results

Identifiers

PMID37899074
PMCPMC10619100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.