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The use of digital health interventions for cardiometabolic diseases among South Asian and Black minority ethnic groups: A realist review

Goswami, Aumeya; Poole, Lydia; Thorlu-Bangura, Zareen; Khan, Nushrat; Hanif, Wasim; Khunti, Kamlesh; Gill, Paramjit; ... Ramasawmy, Mel; + view all (2023) The use of digital health interventions for cardiometabolic diseases among South Asian and Black minority ethnic groups: A realist review. Journal of Medical Internet Research , 25 , Article e40630. 10.2196/40630. Green open access

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Abstract

Background: Digital health interventions, have become increasingly common for the prevention and management of cardiometabolic disease. However, there is limited evidence for suitability of these approaches in minority ethnic populations, who are at increased risk of these diseases. Objective: This study aims to investigate use of digital health interventions for cardiovascular disease and/or type 2 diabetes among minority ethnic populations in majority White, English-speaking countries; focussing on people who identify as South Asian, Black, and/or African-American. Methods: A realist methodology framework was followed. A literature search was conducted to develop context-mechanism-outcome configurations, including contexts that digital health interventions work in for the target minority ethnic groups, mechanisms that these contexts trigger, and resulting health outcomes. After systematic searches, qualitative analysis of included studies was conducted using deductive and inductive coding. Results: 15 studies of uptake of digital health interventions for cardiovascular disease and/or diabetes were identified, of which 13 focused on people from an African-American background. The review found evidence in support of the use of digital health interventions in minority ethnic populations when specific factors are considered in implementation and design, including: patient beliefs and health needs; education and literacy levels; material circumstances; culture, social networks and the wider community; and supporting healthcare systems. Conclusions: Our context-mechanism-outcome configurations provide a useful guide for the future development of DHIs targeted at South Asian and Black minority ethnic populations, with specific recommendations on improving cultural competency, and promoting accessibility and inclusivity of design.

Type: Article
Title: The use of digital health interventions for cardiometabolic diseases among South Asian and Black minority ethnic groups: A realist review
Open access status: An open access version is available from UCL Discovery
DOI: 10.2196/40630
Publisher version: https://doi.org/10.2196/40630
Language: English
Additional information: Copyright © The authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10161400
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