Evidence map›Paper›PMID 38539140›Full record

ArticleBMC pregnancy and childbirth2024

Exploring the implementation of an SMS-based digital health tool on maternal and infant health in informal settlements.

Sharon Ochieng', Nisha Hariharan, Timothy Abuya, Chantalle Okondo, Charity Ndwiga, Charlotte E Warren, Anneka Wickramanayake, Sathyanath Rajasekharan

Abstract read
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Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Sharon Ochieng'Jacaranda Health, Jabavu Gate 788, Jabavu Road, Nairobi, 52595-00100, Kenya.
Nisha HariharanJacaranda Health, Jabavu Gate 788, Jabavu Road, Nairobi, 52595-00100, Kenya.
Timothy AbuyaPopulation Council, Nairobi Kenya. Avenue 5, 3 Floor, Rose Avenue, Nairobi, 17643-00500, Kenya.
Chantalle OkondoPopulation Council, Nairobi Kenya. Avenue 5, 3 Floor, Rose Avenue, Nairobi, 17643-00500, Kenya.
Charity NdwigaPopulation Council, Nairobi Kenya. Avenue 5, 3 Floor, Rose Avenue, Nairobi, 17643-00500, Kenya.
Charlotte E WarrenPopulation Council, Washington, DC. Suite 280, 4301 Connecticut Ave NW, Washington, DC, 20008, US.
Anneka WickramanayakeJacaranda Health, Jabavu Gate 788, Jabavu Road, Nairobi, 52595-00100, Kenya.
Sathyanath RajasekharanJacaranda Health, Jabavu Gate 788, Jabavu Road, Nairobi, 52595-00100, Kenya. srajan@jacarandahealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid urbanization of Kenya has led to an increase in the growth of informal settlements. There are challenges with access to maternal, newborn, and child health (MNCH) services and higher maternal mortality rates in settlements. The Kuboresha Afya Mitaani (KAM) study aimed to improve access to MNCH services. We evaluate one component of the KAM study, PROMPTS (Promoting Mothers through Pregnancy and Postpartum), an innovative digital health intervention aimed at improving MNCH outcomes. PROMPTS is a two-way AI-enabled SMS-based platform that sends messages to pregnant and postnatal mothers based on pregnancy stage, and connects mothers with a clinical help desk to respond and refer urgent cases in minutes.

methodsPROMPTS was rolled out in informal settlements in Mathare and Kawangware in Nairobi County. The study adopted a pre-post intervention design, comparing baseline and endline population outcomes (1,416 participants, Baseline = 678, Endline = 738). To further explore PROMPTS's effect, outcomes were compared between endline participants enrolled and not enrolled in PROMPTS (738 participants). Outcomes related to antenatal (ANC) and postnatal (PNC) service uptake and knowledge were assessed using univariate and multivariate linear and logistic regression.

resultsBetween baseline and enldine, mothers were 1.85 times more likely to report their babies and 1.88 times more likely to report themselves being checked by a provider post-delivery. There were improvements in moms and babies receiving care on time. 45% of the 738 endline participants were enrolled in the PROMPTS program, with 87% of these participants sending at least one message to the system. Enrolled mothers were 2.28 times more likely to report completing four or more ANC visits relative to unenrolled mothers. Similarly, enrolled mothers were 4.20 times more likely to report their babies and 1.52 times more likely to report themselves being checked by a provider post-delivery compared to unenrolled mothers.

conclusionsThis research demonstrates that a digital health tool can be used to improve care-seeking and knowledge levels among pregnant and postnatal women in informal settlements. Additional research is needed to refine and target solutions amongst those that were less likely to enroll in PROMPTS and to further drive improved MNCH outcomes amongst this population.

Indexed as

Digital HealthMaternal Health ServicesChildFemaleHumansInfantInfant HealthInfant, NewbornKenyaMothersPostpartum PeriodPregnancyPrenatal CareAntenatal careDigital healthInformal settlementsKenyaMaternal healthPostnatal care

Identifiers

PMID38539140
PMCPMC10967085

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Registered trials

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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.