Evidence map›Paper›PMID 41393845›Full record

ArticleDigital health

Evaluating the public health impact of digital health technologies: A case study of FamilyConnect for maternal and child health in Uganda.

Simon Ndira, Angelica Kiwummulo, Francis Xavier Wasswa, Benjamin Ailak, Chris Ebong, Divine Mercy Kemigisa, John J O Mogaka

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Simon NdiraCompelling Works Limited, Kampala, Uganda.
Angelica KiwummuloCompelling Works Limited, Kampala, Uganda.
Francis Xavier WasswaCompelling Works Limited, Kampala, Uganda.
Benjamin AilakCompelling Works Limited, Kampala, Uganda.
Chris EbongMinistry of Health Uganda Department of Maternal and Child Health Services, Republic of Uganda Ministry of Health, Kampala, Uganda.
Divine Mercy KemigisaMinistry of Health Uganda Department of Maternal and Child Health Services, Republic of Uganda Ministry of Health, Kampala, Uganda.
John J O MogakaCompelling Works Limited, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9902-865X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies hold transformative potential for improving maternal and child health (MCH) in low-resource settings. This study evaluates their impact in Uganda through the FamilyConnect (FC) application-an Unstructured Supplementary Service Data-based mobile platform delivering targeted messages to pregnant women and caregivers, implemented in 42 districts since 2016. Methods: A mixed-methods cross-sectional design was used in nine randomly sampled FC districts. Quantitative data from 83 health facilities (2017-2022) assessed changes in MCH indicators via Interrupted Time Series (ITS) analysis. Additional data included surveys with 317 mothers, interviews with 409 health workers, 34 district managers, 3 national Ministry of Health staff, and 109 focus group participants. Results: FC significantly improved antenatal care (ANC) utilization: total ANC visits rose by 19.35%, with first-trimester visits increasing 85.81%. ITS showed annual ANC attendance grew by 5.5% (vs. 1.5% pre-intervention). HIV prevalence at ANC declined from 5.4% (2017) to 3.4% (2022). However, postnatal care visits declined 15.47%, male partner ANC attendance dropped 33.54%, and postnatal family planning uptake fell 58.50%-possibly due to substitution with remote guidance via FC. Success factors included translation into local languages, use of Community Health Workers (VHTs), and integration with other programs. Key barriers were phone scarcity (35% of women shared devices), poor network connectivity (notably in Karamoja), app downtime, domestic conflict, and health system issues like staff shortages and supply stockouts. Conclusions: FC shows promise in improving ANC and disease prevention, but scale-up requires addressing sociocultural, infrastructural, and systemic barriers, expanding language coverage, engaging men, improving device access, and strengthening health systems.

Indexed as

antenatal carebehavior change communicationcommunity health workersdigital healthFamilyConnectmaternal healthmHealthUganda

Identifiers

PMID41393845
PMCPMC12696330

What OpenQuestion holds

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LicenceCC BY-NC
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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.