Currently submitted to: JMIR Research Protocols
Date Submitted: Apr 1, 2020
Open Peer Review Period: Apr 1, 2020 - May 14, 2020
(closed for review but you can still tweet)
NOTE: This is an unreviewed Preprint
Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).
Peer-review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer-Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.
Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).
Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.
Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.
Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.
Digital Mental Health Resources for CALD Populations: Scoping Review Protocol
People from culturally and linguistically diverse backgrounds (CALD) experience a number of risk factors for mental health problems. However, in comparison to the host population, CALD populations are less likely to use mental health services. Digital mental health approaches have been shown to be effective in improving wellbeing for the general population; thus, they may provide an effective and culturally appropriate strategy to bridge the treatment gap for CALD populations.
The objective of this scoping review is to provide an overview of the available digital mental health (dMH) resources for CALD populations. Specifically, it aims to answer the following questions: what are the available dMH resources for CALD populations? Are they effective, cost-efficient, feasible, appropriate, and accepted by the population? What are the knowledge gaps in the field?
The methodology will follow the five phases outlined by Arksey and O’Malley (2005) which include: identifying the research question, identifying relevant studies, study selection, charting the data, collating summarizing and reporting the results. Searches were conducted in the following databases: EBSCOhost databases (CINAHL Plus with Full text, MEDLINE with full text, APA PsychArticles, Psychology and Behavioural sciences collection, APA PsychInfo), PubMed, and Scopus. Additionally, OpenGrey, Wonder, Mednar, and Eldis will be searched for grey literature. All primary studies and grey literature in English that include the use of information and communication technology to deliver services targeting mental health issues for CALD populations will be included.
Data relating to effectiveness, cost-effectiveness, feasibility, appropriateness, and acceptability will be extracted and included for analysis.
To date, there are no scoping reviews which have assessed the effectiveness, cost-effectiveness, feasibility, acceptability, and appropriateness of the available digital mental health resources for CALD populations. This review will provide extensive coverage on a promising and innovative intervention for this vulnerable population. It will give insight into the range of approaches, their effectiveness, and progress in their implementation, and provide valuable information for health practitioners, policy makers, and researchers working with CALD populations.
Request queued. Please wait while the file is being generated. It may take some time.
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.