mHealth clinical decision-making tools for maternal and perinatal health care in Sub-Saharan Africa: A systematic review protocol

Author:

Olomi Gaudensia A.ORCID,Cansdale Lottie G.,Woodworth Simon,Manongi Rachel,Mlay Pendo,Yeates Karen,West Nicola,Hirst Jane E.,Redman Christopher,Mahande Michael J.ORCID,Mmbaga Blandina T.,Khashan Ali S.ORCID

Abstract

Background Mobile health (mHealth) tools are increasingly being used in Sub-Saharan Africa (SSA) to improve the quality of health services. mHealth clinical decision-making tools have several established roles in maternal and perinatal healthcare including health surveillance, data collection and access to guidelines. The adoption of mHealth clinical decision-making tools in low-resource environments like SSA, as well as the lessons learnt from using them, have not yet been determined. As new mHealth technologies are quickly being evaluated and deployed in resource-poor settings, it is crucial to thoroughly analyse what has been accomplished in order to inform implementers and policy makers on the effectiveness of technology in evidence-based practice. Objective This study aims to synthesize the available evidence 1) on the use of mHealth clinical decision-making tools for maternal and perinatal care in SSA, and 2) whether these tools lead to improvements in the quality of maternal and perinatal care in SSA. Methods A systematic review of the literature will be performed to identify publications describing the use mHealth tools for maternal and perinatal clinical decision-making in SSA. PubMed, CINAHL, EMBASE, Global Health and Web of Science will be searched for relevant articles following a predetermined search strategy with no date restrictions. A limited grey literature search will also be carried out. Two independent reviewers will screen the articles. Pre-determined data items will be extracted, and data synthesis carried out using a descriptive approach. Appraisal will be done using the Appraisal of Guidelines Research and Evaluation Health Systems (AGREE-HS) instrument. Conclusions This systematic review protocol for identifying and appraising mHealth clinical decision-making tools in maternal and perinatal care may help to establish best practice for developing and scaling up, thus help to improve care in SSA. Registration PROSPERO (CRD42023452760; 19 August 2023).:

Funder

Irish Research Council

Publisher

F1000 Research Ltd

Subject

Health Professions (miscellaneous),Medicine (miscellaneous)

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