Common practices for sociodemographic data reporting in digital mental health intervention research: a scoping review

BackgroundThe ability of digital mental health interventions (DMHIs) to reduce mental health disparities relies on the recruitment of research participants with diverse sociodemographic and self-identity characteristics. Despite its importance, sociodemographic reporting in research is often limited...

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Vydané v:BMJ open Ročník 14; číslo 2; s. e078029
Hlavní autori: Kirvin-Quamme, Andrew, Kissinger, Jennifer, Quinlan, Laurel, Montgomery, Robert, Chernenok, Mariya, Pirner, Maddison C, Pajarito, Sarah, Rapoport, Stephanie, Wicks, Paul, Darcy, Alison, Greene, Carolyn J, Robinson, Athena
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England British Medical Journal Publishing Group 12.02.2024
BMJ Publishing Group LTD
BMJ Publishing Group
Edícia:Original research
Predmet:
Child
Ethnicity
Female
Gender Identity
Health disparities
Health Equity
Housing
Humans
Identity
Inclusion
Intervention
Male
Medical research
Mental disorders
Mental Health
Multiculturalism & pluralism
Randomized Controlled Trial
Research Design
Sociodemographics
Socioeconomic factors
Systematic Review
United States > US
MENTAL HEALTH
Health Equity
Randomized Controlled Trial
Systematic Review
ISSN:2044-6055, 2044-6055
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Popis
Shrnutí:BackgroundThe ability of digital mental health interventions (DMHIs) to reduce mental health disparities relies on the recruitment of research participants with diverse sociodemographic and self-identity characteristics. Despite its importance, sociodemographic reporting in research is often limited, and the state of reporting practices in DMHI research in particular has not been comprehensively reviewed.ObjectivesTo characterise the state of sociodemographic data reported in randomised controlled trials (RCTs) of app-based DMHIs published globally from 2007 to 2022.MethodsA scoping review of RCTs of app-based DMHIs examined reporting frequency for 16 sociodemographic domains (eg, gender) and common category options within each domain (eg, woman). The search queried five electronic databases. 5079 records were screened and 299 articles were included.ResultsOn average, studies reported 4.64 (SD=1.79; range 0–9) of 16 sociodemographic domains. The most common were age (97%) and education (67%). The least common were housing situation (6%), residency/location (5%), veteran status (4%), number of children (3%), sexual orientation (2%), disability status (2%) and food security (<1%). Gender or sex was reported in 98% of studies: gender only (51%), sex only (28%), both (<1%) and gender/sex reported but unspecified (18%). Race or ethnicity was reported in 48% of studies: race only (14%), ethnicity only (14%), both (10%) and race/ethnicity reported but unspecified (10%).ConclusionsThis review describes the widespread underreporting of sociodemographic information in RCTs of app-based DMHIs published from 2007 to 2022. Reporting was often incomplete (eg, % female only), unclear (eg, the conflation of gender/sex) and limited (eg, only options representing majority groups were reported). Trends suggest reporting has somewhat improved in recent years. Diverse participant populations must be welcomed and described in DMHI research to broaden learning and the generalisability of results, a prerequisite of DMHI’s potential to reduce disparities in mental healthcare.
Bibliografia:Original research
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ObjectType-Literature Review-3
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ISSN:2044-6055
2044-6055
DOI:10.1136/bmjopen-2023-078029