TY  - JOUR
AU  - Kachimanga, Chiyembekezo
AU  - Divala, Titus H
AU  - Ket, Johannes C F
AU  - Kulinkina, Alexandra V
AU  - Zaniku, Haules R
AU  - Murkherjee, Joia
AU  - Palazuelos, Daniel
AU  - Abejirinde, Ibukun-Oluwa Omolade
AU  - Akker, Thomas van den
PY  - 2023
DA  - 2023/5/4
TI  - Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Protocol for a Mixed Method Systematic Review
JO  - JMIR Res Protoc
SP  - e44066
VL  - 12
KW  - community health worker
KW  - maternal health
KW  - mobile health
KW  - sub-Saharan Africa
KW  - systematic review
KW  - review method
KW  - maternal
KW  - maternity
KW  - gynecology
KW  - mHealth
KW  - narrative synthesis
KW  - antenatal
KW  - post natal
KW  - women's health
KW  - health care provider
KW  - health worker
KW  - health care worker
AB  - Background: Studies have shown that mobile health technologies (mHealth) enhance the use of maternal health services. However, there is limited evidence of the impact of mHealth use by community health workers (CHWs) on the use of maternal health services in sub-Saharan Africa. Objective: This mixed method systematic review will explore the impact of mHealth use by CHWs on the use of the maternal health continuum of care (antenatal care, intrapartum care, and postnatal care [PNC]), as well as barriers and facilitators of mHealth use by CHWs when supporting maternal health services. Methods: We will include studies that report the impact of mHealth by CHWs on the use of antenatal care, facility-based births, and PNC visits in sub-Saharan Africa. We will search 6 databases (MEDLINE, CINAHL, Web of Science, Embase, Scopus, and Africa Index Medicus), with additional articles identified from Google Scholar and manual screening of references of the included studies. The included studies will not be limited by language or year of publication. After study selection, 2 independent reviewers will perform title and abstract screening, followed by full-text screening to identify the final papers to be included. Data extraction and risk-of-bias assessment will be performed using Covidence software by 2 independent reviewers. We will use a Mixed Methods Appraisal Tool to perform risk-of-bias assessments on all included studies. Finally, we will perform a narrative synthesis of the outcomes, integrating information about the effect of mHealth on maternal health use and barriers and facilitators of mHealth use. This protocol follows the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) guidelines. Results: In September 2022, we conducted an initial search in the eligible databases. After removing duplicates, we identified 1111 studies that were eligible for the title and abstract screening. We will finalize the full-text assessment for eligibility, data extraction, assessment of methodological quality, and narrative synthesis by June 2023. Conclusions: This systematic review will present new and up-to-date evidence on the use of mHealth by CHWs along the pregnancy, childbirth, and PNC continuum of care. We anticipate the results will inform program implementation and policy by highlighting the potential impacts of mHealth and presenting contextual factors that should be addressed to ensure the success of the programs. Trial Registration: PROSPERO CRD42022346364; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346364 International Registered Report Identifier (IRRID): DERR1-10.2196/44066 
SN  - 1929-0748
UR  - https://www.researchprotocols.org/2023/1/e44066
UR  - https://doi.org/10.2196/44066
UR  - http://www.ncbi.nlm.nih.gov/pubmed/37140981
DO  - 10.2196/44066
ID  - info:doi/10.2196/44066
ER  -