Evidence map›Paper›PMID 39316427›Full record

SynthesisJMIR mHealth and uHealth2024

Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review.

Chiyembekezo Kachimanga, Haules Robbins Zaniku, Titus Henry Divala, Johannes C F Ket, Joia S Mukherjee, Daniel Palazuelos, Alexandra V Kulinkina, Ibukun-Oluwa Omolade Abejirinde, Thomas van den Akker

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. From Integrated Care to Learning Systems.Healthcare (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chiyembekezo KachimangaAthena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-3507-9591
Haules Robbins ZanikuKamuzu University of Health Sciences, Blantyre, Malawi.ORCID 0000-0002-0179-9091
Titus Henry DivalaKamuzu University of Health Sciences, Blantyre, Malawi.ORCID 0000-0003-3029-9579
Johannes C F KetMedical Library, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-1909-3150
Joia S MukherjeePartners In Health, Boston, MA, United States.ORCID 0000-0003-4931-4804
Daniel PalazuelosPartners In Health, Boston, MA, United States.ORCID 0000-0003-3701-0707
Alexandra V KulinkinaSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID 0000-0002-4777-1254
Ibukun-Oluwa Omolade AbejirindeWomen College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0003-0139-0541
Thomas van den AkkerAthena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-9890-9145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited information exists on the impact of mobile health (mHealth) use by community health workers (CHWs) on improving the use of maternal health services in sub-Saharan Africa (SSA).

objectiveThis systematic review addresses 2 objectives: evaluating the impact of mHealth use by CHWs on antenatal care (ANC) use, facility-based births, and postnatal care (PNC) use in SSA; and identifying facilitators and barriers to mHealth use by CHWs in programs designed to increase ANC use, facility-based births, and PNC use in SSA using a sociotechnical system approach.

methodsWe searched for articles in 6 databases (MEDLINE, CINAHL, Web of Science, Embase, Scopus, and Africa Index Medicus) from inception up to September 2022, with additional articles identified from Google Scholar. After article selection, 2 independent reviewers performed title and abstract screening, full-text screening, and data extraction using Covidence software (Veritas Health Innovation Ltd). In addition, we manually screened the references lists of the included articles. Finally, we performed a narrative synthesis of the outcomes.

resultsAmong the 2594 records retrieved, 10 (0.39%) studies (n=22, 0.85% articles) met the inclusion criteria and underwent data extraction. The studies were published between 2012 and 2022 in 6 countries. Of the studies reporting on ANC outcomes, 43% (3/7) reported that mHealth use by CHWs increased ANC use. Similarly, of the studies reporting on facility-based births, 89% (8/9) demonstrated an increase due to mHealth use by CHWs. In addition, in the PNC studies, 75% (3/4) showed increased PNC use associated with mHealth use by CHWs. Many of the studies reported on the importance of addressing factors related to the social environment of mHealth-enabled CHWs, including the perception of CHWs by the community, trust, relationships, digital literacy, training, mentorship and supervision, skills, CHW program ownership, and the provision of incentives. Very few studies reported on how program goals and culture influenced mHealth use by CHWs. Providing free equipment, accessories, and internet connectivity while addressing ongoing challenges with connectivity, power, the ease of using mHealth software, and equipment maintenance support allowed mHealth-enabled CHW programs to thrive.

conclusionsmHealth use by CHWs was associated with an increase in ANC use, facility-based births, and PNC use in SSA. Identifying and addressing social and technical barriers to the use of mHealth is essential to ensure the success of mHealth programs.

trial registrationPROSPERO CRD42022346364; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346364.

Indexed as

Community Health WorkersMaternal Health ServicesTelemedicineAfrica South of the SaharaFemaleHumansPregnancyantenatal carefacility-based birthsmaternal healthmHealthmobile healthmobile phonenarrative synthesispostnatal carereviewsub-Saharan Africa

Identifiers

PMID39316427
PMCPMC11462100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.