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1000
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Abstract/Summary
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Background: Internet- and mobile-based interventions (IMI) are an effective and scalable low-threshold solution to reach people who are undersupplied by current healthcare. Adapting interventions to the cultural and ethnic background of the target group enhances their acceptance and effectiveness. However, no systematic approach to cultural adaptation of IMI has been established so far. Therefore, this review aims to summarise components and procedures commonly used in the cultural adaptation of IMI for mental disorders, as well as the current evidence base on whether such a cultural adaptation leads to an increased acceptance, adherence, and effectiveness of IMI for mental disorders. Methods: A systematic literature search will be performed using the following databases: MEDLINE, Embase, PsycINFO, CENTRAL, and WoS. The search term will include keywords related to cultural adaptation, IMI, and mental disorders/disturbances. Two independent reviewers will evaluate studies against inclusion and exclusion criteria and extract study and intervention characteristics, details on the cultural adaptation approach, and outcome data. Quality of evidence will be assessed using the Quality Assessment Tool for Reviewing Studies with Diverse Designs, and results will be synthesised qualitatively. Discussion: Providing adequate mental healthcare regardless of cultural backgrounds is a major global health challenge. The planned systematic review will lay the foundation for the further development of the cultural adaptation of IMI for mental disorders by summarising the current state and providing recommendations for future research.
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1000
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Hinweis
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DeepGreen-ID: 5185ed1e352647878204e00314f46dd3 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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