| Autor: |
Nicola Low, Toshi A Furukawa, Andrea Cipriani, Tianjing Li, Georgia Salanti, Stefan Leucht, Diana Buitrago-Garcia, Thomy Tonia, Natalie Luise Peter, Cristina Mesa-Vieira |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
BMJ Mental Health, Vol 26, Iss 1 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2755-9734 |
| DOI: |
10.1136/bmjment-2023-300694 |
| Popis: |
Objective There 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.Methods We 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.Results RoB-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.Conclusions RoB-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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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