Evidence map›Paper›PMID 24438517›Full record

Trial reportBMC pregnancy and childbirth2014

Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial.

Stine Lund, Birgitte B Nielsen, Maryam Hemed, Ida M Boas, Azzah Said, Khadija Said, Mkoko H Makungu, Vibeke Rasch

Registry-linked trialOpen access · goldAbstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in BMC pregnancy and childbirth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02371213 (Antenatal Care Health Education Intervened by Social Networking on Mobile Phone Compared With Usual Care to Improve Maternal and Neonatal Outcomes), which is not on this map. Cited by 160 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 20 pooled it
42.4field-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.

NCT02371213 nacompletednot on this mapstarted 2015, after this paper: background citation

Antenatal Care Health Education Intervened by Social Networking on Mobile Phone Compared With Usual Care to Improve Maternal and Neonatal Outcomes: Randomized Controlled Trial

TypeinterventionalSponsorNopparatrajathanee HospitalRan2015 to 2018Enrolled1,160ConditionsPremature BirthArmssocial networking on mobile phone
3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 20 syntheses or guidelines pooled it, 317 citations in OpenAlex.

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  13. Strengthening Delivery of Health Services Using Digital Devices.Global health, science and practice · 2018
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100 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Stine LundDepartment of International Health, Immunology and Microbiology, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark. stine_lund@dadlnet.dk.
Birgitte B Nielsen
Maryam Hemed
Ida M Boas
Azzah Said
Khadija Said
Mkoko H Makungu
Vibeke Rasch
University of Copenhagen · DKAarhus University Hospital · DKOdense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApplying mobile phones in healthcare is increasingly prioritized to strengthen healthcare systems. Antenatal care has the potential to reduce maternal morbidity and improve newborns' survival but this benefit may not be realized in sub-Saharan Africa where the attendance and quality of care is declining. We evaluated the association between a mobile phone intervention and antenatal care in a resource-limited setting. We aimed to assess antenatal care in a comprehensive way taking into consideration utilisation of antenatal care as well as content and timing of interventions during pregnancy.

methodsThis study was an open label pragmatic cluster-randomised controlled trial with primary healthcare facilities in Zanzibar as the unit of randomisation. 2550 pregnant women (1311 interventions and 1239 controls) who attended antenatal care at selected primary healthcare facilities were included at their first antenatal care visit and followed until 42 days after delivery. 24 primary health care facilities in six districts were randomized to either mobile phone intervention or standard care. The intervention consisted of a mobile phone text-message and voucher component. Primary outcome measure was four or more antenatal care visits during pregnancy. Secondary outcome measures were tetanus vaccination, preventive treatment for malaria, gestational age at last antenatal care visit, and antepartum referral.

resultsThe mobile phone intervention was associated with an increase in antenatal care attendance. In the intervention group 44% of the women received four or more antenatal care visits versus 31% in the control group (OR, 2.39; 95% CI, 1.03-5.55). There was a trend towards improved timing and quality of antenatal care services across all secondary outcome measures although not statistically significant.

conclusionsThe wired mothers' mobile phone intervention significantly increased the proportion of women receiving the recommended four antenatal care visits during pregnancy and there was a trend towards improved quality of care with more women receiving preventive health services, more women attending antenatal care late in pregnancy and more women with antepartum complications identified and referred. Mobile phone applications may contribute towards improved maternal and newborn health and should be considered by policy makers in resource-limited settings.

Indexed as

Developing CountriesText MessagingAdultFemaleGestational AgeHumansMalariaPatient Acceptance of Health CarePatient Education as TopicPregnancyPrenatal CareReminder SystemsTanzaniaTetanus ToxoidYoung AdultTetanus Toxoid

Identifiers

PMID24438517
PMCPMC3898378
OpenAlexW2095109714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.