Evidence map›Paper›PMID 39899612›Full record

Trial reportPLoS medicine2025

Impact evaluation of a digital health platform empowering Kenyan women across the pregnancy-postpartum care continuum: A cluster randomized controlled trial.

Rajet Vatsa, Wei Chang, Sharon Akinyi, Sarah Little, Catherine Gakii, John Mungai, Cynthia Kahumbura, Anneka Wickramanayake, Sathyanath Rajasekharan, Jessica Cohen and 1 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05110521 (Impact of a Nurse Mentorship and Digital Health Package Intervention for Maternal and Newborn Health in Kenya), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05110521 nacompletednot on this map

Impact of a Nurse Mentorship and Digital Health Package Intervention for Maternal and Newborn Health in Kenya: A Cluster Randomized Controlled Trial

TypeinterventionalSponsorHarvard School of Public Health (HSPH)Ran2021 to 2022Enrolled10,992ConditionsQuality of CareArmsPROMPTS, MENTORS
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  2. A lesson from the past and the future of artificial intelligence in medical decision-making.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
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

11 authors.

Rajet VatsaHarvard/MIT MD-PhD Program, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-0793-3300
Wei ChangAfrica Chief Economist Office, World Bank, Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-2949-269X
Sharon AkinyiJacaranda Health, Nairobi, Nairobi County, Kenya.
Sarah LittleJacaranda Health, Nairobi, Nairobi County, Kenya.
Catherine GakiiInnovations for Poverty Action, Nairobi, Nairobi County, Kenya.
John MungaiInnovations for Poverty Action, Nairobi, Nairobi County, Kenya.ORCID https://orcid.org/0000-0001-8529-3065
Cynthia KahumburaJacaranda Health, Nairobi, Nairobi County, Kenya.
Anneka WickramanayakeJacaranda Health, Nairobi, Nairobi County, Kenya.ORCID https://orcid.org/0009-0008-5687-5355
Sathyanath RajasekharanJacaranda Health, Nairobi, Nairobi County, Kenya.
Jessica CohenDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Margaret McConnellDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-3437-3249

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Gates Foundation INV-018440NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

backgroundAccelerating improvements in maternal and newborn health (MNH) care is a major public health priority in Kenya. While use of formal health care has increased, many pregnant and postpartum women do not receive the recommended number of maternal care visits. Even when they do, visits are often short with many providers not offering important elements of evaluation and counseling, leaving gaps in women's knowledge and preparedness. Digital health tools have been proposed as a complement to care that is provided by maternity care facilities, but there is limited evidence of the impact of digital health tools at scale on women's knowledge, preparedness, and the content of care they receive. We evaluated a digital health platform (PROMPTS (Promoting Mothers in Pregnancy and Postpartum Through SMS)) composed of informational messages, appointment reminders, and a two-way clinical helpdesk, which had enrolled over 750,000 women across Kenya at the time of our study, on 6 domains across the pregnancy-postpartum care continuum. METHODS AND

findingsWe conducted an unmasked, 1:1 parallel arm cluster randomized controlled trial in 40 health facilities (clusters) across 8 counties in Kenya. A total of 6,139 pregnant individuals were consented at baseline and followed through pregnancy and postpartum. Individuals recruited from treatment facilities were invited to enroll in the PROMPTS platform, with roughly 85% (1,453/1,700) reporting take-up. Our outcomes were derived from phone surveys conducted with participants at 36 to 42 weeks of gestation and 7 to 8 weeks post-childbirth. Among eligible participants, 3,399/3,678 women completed antenatal follow-up and 5,509/6,128 women completed postpartum follow-up, with response rates of 92% and 90%, respectively. Outcomes were organized into 6 domains: knowledge, birth preparedness, routine care seeking, danger sign care seeking, newborn care, and postpartum care content. We generated standardized summary indices to account for multiple hypothesis testing but also analyzed individual index components. Intention-to-treat analyses were conducted for all outcomes at the individual level, with standard errors clustered by facility. Participants recruited from treatment facilities had a 0.08 standard deviation (SD) (95% CI [0.03, 0.12]; p = 0.002) higher knowledge index, a 0.08 SD (95% CI [0.02, 0.13]; p = 0.018) higher birth preparedness index, a 0.07 SD (95% CI [0.03, 0.11]; p = 0.003) higher routine care seeking index, a 0.09 SD (95% CI [0.07, 0.12]; p < 0.001) higher newborn care index, and a 0.06 SD (95% CI [0.01, 0.12]; p = 0.043) higher postpartum care content index than those recruited from control facilities. No significant effect on the danger sign care seeking index was found (95% CI [-0.01, 0.08]; p = 0.096). A limitation of our study was that outcomes were self-reported, and the study was not powered to detect effects on health outcomes.

conclusionsDigital health tools indicate promise in addressing shortcomings in pregnant and postpartum women's health care, amidst systems that do not reliably deliver a minimally adequate standard of care. Through providing women with critical information and empowering them to seek recommended care, such tools can improve individuals' preparation for safe childbirth and receipt of more comprehensive postpartum care. Future work is needed to ascertain the impact of at-scale digital platforms like PROMPTS on health outcomes.

trial registrationClinicalTrials.gov ID: NCT05110521; AEA RCT Registry ID: R-0008449.

Indexed as

Continuity of Patient CareEmpowermentMaternal Health ServicesPostnatal CarePrenatal CareAdultDigital HealthFemaleHealth Knowledge, Attitudes, PracticeHumansKenyaPostpartum PeriodPregnancyTelemedicineText MessagingYoung Adult

Identifiers

PMID39899612
PMCPMC11835334

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.