Evidence map›Paper›PMID 41635555›Full record

ArticleFrontiers in digital health2025

Leveraging telemedicine to improve MNCH uptake in Kenya: a community-based hybrid model.

Edna Anab, Tabither Gitau, Erick Yegon, Nzomo Mwita, Marlyn Ochieng, Alice Koimur, Rhonnie Omondi, Stephen Smith, Harriet Andrews, David Oluoch and 5 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Edna AnabInnovations Department, Living Goods, Nairobi, Kenya.
Tabither GitauPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Erick YegonPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Nzomo MwitaPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Marlyn OchiengPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Alice KoimurPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Rhonnie OmondiPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Stephen SmithDigital Health & Innovation, Health X Africa, Nairobi, Kenya.
Harriet AndrewsInnovations Department, Living Goods, Nairobi, Kenya.
David OluochPartnerships Advocacy and Communication, Living Goods, Nairobi, Kenya.
Rosebella AmihandaPrograms, Living Goods, Nairobi, Kenya.
Moses LwandaPerformance Evidence & Insights, Living Goods, Nairobi, Kenya.
Erina MakhuloPrograms, Living Goods, Nairobi, Kenya.
Godfrey SakwaPrograms, Living Goods, Nairobi, Kenya.
Phanice AkinyiPrograms, Living Goods, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kenya faces significant challenges in providing adequate access to maternal, newborn, and child health services, particularly in remote and underserved areas. Limited infrastructure, healthcare worker shortages, and financial constraints hinder access to timely, essential care. As health systems continue to face increasing demands, Telehealth solutions offer a promising approach to bridging geographical gaps and improving access to timely and essential healthcare services. By leveraging technology, telehealth can connect patients in remote areas with healthcare providers, enabling virtual consultations, remote monitoring, and timely interventions. Aim: This study evaluated the "Better Data for Better Decisions: Telehealth" initiative, funded by The Children's Investment Fund Foundation (CIFF) and implemented by Living Goods and in partnership with Health X Africa. The innovation aimed to integrate telehealth into the Community Health Promoter framework to improve MNCH outcomes, focusing on antenatal and postnatal care. The specific objectives included increasing uptake of antenatal and postnatal care, improving the efficiency of primary healthcare delivery, and influencing relevant policies. Setting: The study was conducted in Teso North, Busia County, Kenya, targeting ten community health units. Method: A mixed-methods quasi-experimental design was employed, incorporating key informant interviews, focus group discussions, and routine health record reviews. Data collection involved desk reviews, field data collection, and virtual data collection across three phases. Quantitative data were analyzed in Stata® 15 and R 4.5.1 using descriptive, inferential, and GEE models, while qualitative data were coded and analyzed in Dedoose using a constant comparative method. Result: The project exceeded its registration targets, enrolling 388 households and 551 clients. Of the registered clients, 50% engaged in consultations with Health X doctors via the hotline, which emerged as the most preferred service channel, used by approximately 88% of Telehealth platform users. The intervention positively impacted the frequency of postnatal care (PNC) touchpoints and identified at-risk women based on nutritional indicators. The average number of PNC visits within six weeks postpartum was significantly higher in the intervention sites (mean: 4.99 visits) compared to control units (mean: 3.96 visits; Conclusion: Integrating telemedicine into the CHW framework shows promise for improving access to and engagement with postnatal care services in underserved areas of Kenya. The hybrid model, combining virtual consultations with community-based CHW support, effectively leveraged technology and existing health infrastructure. Further research is needed to assess the impact on healthcare efficiency and policy influence fully. These findings present a compelling case for policymakers to scale telehealth as a core element of Kenya's MNCH strategy. Part of the work led to supporting the MOH in developing Telemedicine Policy and Guidelines for Kenya.

Indexed as

child healthcommunity health workersdigital healthhealthcare accessmaternal healthnewborn healthservice utilizationtelemedicine

Identifiers

PMID41635555
PMCPMC12862075

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.