Evidence map›Paper›PMID 27383186›Full record

ArticlePloS one2016

The Effects of a Locally Developed mHealth Intervention on Delivery and Postnatal Care Utilization; A Prospective Controlled Evaluation among Health Centres in Ethiopia.

Solomon Shiferaw, Mark Spigt, Michael Tekie, Muna Abdullah, Mesganaw Fantahun, Geert-Jan Dinant

Open access · goldAbstract readControlled Clinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 8 pooled it
13.4field-weighted citation impact, top 1% of its field
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

57 citing papers in PubMed, 8 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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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

6 authors at 5 institutions in 4 countries.

Solomon ShiferawDepartment of Reproductive Health and Health Service Management, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Mark SpigtMaastricht University, CAPHRI School for Public Health and Primary Care, Department of Family Medicine, Maastricht University, Maastricht, The Netherlands.
Michael TekieUNFPA - Liaison Office, Addis Ababa, Ethiopia.
Muna AbdullahUNFPA - East and Southern Africa Regional Office, Johannesburg, South Africa.
Mesganaw FantahunDepartment of Reproductive Health and Health Service Management, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Geert-Jan DinantMaastricht University, CAPHRI School for Public Health and Primary Care, Department of Family Medicine, Maastricht University, Maastricht, The Netherlands.
Addis Ababa University · ETDevelopment Bank of Southern Africa · ZAMaastricht University · NLUiT The Arctic University of Norway · NOUnited Nations Economic Commission for Africa · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there are studies showing that mobile phone solutions can improve health service delivery outcomes in the developed world, there is little empirical evidence that demonstrates the impact of mHealth interventions on key maternal health outcomes in low income settings.

methodsA non-randomized controlled study was conducted in the Amhara region, Ethiopia in 10 health facilities (5 intervention, 5 control) together serving around 250,000 people. Health workers in the intervention group received an android phone (3 phones per facility) loaded with an application that sends reminders for scheduled visits during antenatal care (ANC), delivery and postnatal care (PNC), and educational messages on dangers signs and common complaints during pregnancy. The intervention was developed at Addis Ababa University in Ethiopia. Primary outcomes were the percentage of women who had at least 4 ANC visits, institutional delivery and PNC visits at the health center after 12 months of implementation of the intervention.

findingsOverall 933 and 1037 women were included in the cross-sectional surveys at baseline and at follow-up respectively. In addition, the medical records of 1224 women who had at least one antenatal care visit were followed in the longitudinal study. Women who had their ANC visit in the intervention health centers were significantly more likely to deliver their baby in the same health center compared to the control group (43.1% versus 28.4%; Adjusted Odds Ratio (AOR): 1.98 (95%CI 1.53-2.55)). A significantly higher percentage of women who had ANC in the intervention group had PNC in the same health center compared to the control health centers (41.2% versus 21.1%: AOR: 2.77 (95%CI 2.12-3.61)).

conclusionsOur findings demonstrated that a locally customized mHealth application during ANC can significantly improve delivery and postnatal care service utilization possibly through positively influencing the behavior of health workers and their clients.

Indexed as

AdolescentAdultCross-Sectional StudiesDelivery, ObstetricEthiopiaFemaleFollow-Up StudiesHealth PersonnelHumansMaternal Health ServicesMiddle AgedNon-Randomized Controlled Trials as TopicNursesPostnatal CarePregnancyPrenatal Care

Identifiers

PMID27383186
PMCPMC4934867
OpenAlexW2473161167

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.