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Evidence Catalogue of mHealth Evaluations in Low- and Middle-Income Countries

Year: 2019

Type: dataset

Abstract: The mHealth LMIC Evidence Catalogue was developed to support rapid integration of mHealth ‘best evidence’ into ongoing mHealth testing and optimisation work. We aimed to identify and catalogue relevant studies that addressed the question: “Which patient- or client- facing mHealth interventions are most effective at improving health outcomes in low- and middle-income countries?” A systematic search was conducted and the included randomised control trials (RCTs) and systematic reviews listed with sufficient data extraction to enable users to select subsets of studies based on relevance (e.g. by location, population or condition). These studies are being shared to support evidence-based mHealth intervention development across the sector.

Source: Harvard Dataverse

DOI: 10.7910/dvn/qvpjbd

Authors: Nzenze, Susan, Batista, Tara, Toska, Elona, Berezin, McKenzie, Langwenya, Nontokozo, Mhlanga, Ayanda, Dyanti, Samantha Nkosikhona, Grant, Eli

Institutions: Praekelt Foundation, Columbia University, University of Cape Town, New York University

Language: English

Topic: Mobile Health and mHealth Applications

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4398932614

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