Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries

Abstract Current evidence on digital health interventions is disproportionately concerned with high-income countries and hospital settings. This scoping review evaluates the extent of use and effectiveness of digital health interventions for non-communicable disease (NCD) management in primary healthcare settings of low- and middle-income countries (LMICs) and identifies factors influencing digital health interventions’ uptake. We use PubMed, Embase, and Web of Science search results from January 2010 to 2021. Of 8866 results, 52 met eligibility criteria (31 reviews, 21 trials). Benchmarked against World Health Organization’s digital health classifications, only 14 out of 28 digital health intervention categories are found, suggesting critical under-use and lagging innovation. Digital health interventions’ effectiveness vary across outcomes: clinical (mixed), behavioral (positively inclined), and service implementation outcomes (clear effectiveness). We further identify multiple factors influencing digital health intervention uptake, including political commitment, interactivity, user-centered design, and integration with existing systems, which points to future research and practices to invigorate digital health interventions for NCD management in primary health care of LMICs..

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:6

Enthalten in:

npj Digital Medicine - 6(2023), 1, Seite 11

Sprache:

Englisch

Beteiligte Personen:

Shangzhi Xiong [VerfasserIn]
Hongsheng Lu [VerfasserIn]
Nicholas Peoples [VerfasserIn]
Ege K. Duman [VerfasserIn]
Alberto Najarro [VerfasserIn]
Zhao Ni [VerfasserIn]
Enying Gong [VerfasserIn]
Ruoyu Yin [VerfasserIn]
Truls Ostbye [VerfasserIn]
Lia M. Palileo-Villanueva [VerfasserIn]
Rinchen Doma [VerfasserIn]
Sweta Kafle [VerfasserIn]
Maoyi Tian [VerfasserIn]
Lijing L. Yan [VerfasserIn]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
doi.org [kostenfrei]
Journal toc [kostenfrei]

Themen:

Computer applications to medicine. Medical informatics

doi:

10.1038/s41746-023-00764-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

DOAJ080963641