Evidence map›Paper›PMID 27543152›Full record

SynthesisJournal of medical Internet research2016

Effectiveness of mHealth Interventions Targeting Health Care Workers to Improve Pregnancy Outcomes in Low- and Middle-Income Countries: A Systematic Review.

Mary Amoakoh-Coleman, Alexander Berend-Jan Borgstein, Stephanie Fv Sondaal, Diederick E Grobbee, Andrea Solnes Miltenburg, Mirjam Verwijs, Evelyn K Ansah, Joyce L Browne, Kerstin Klipstein-Grobusch

Registry-linked trialOpen access · goldAbstract readMulticenter StudySystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05776615 (The Effect of the Mobile Application Developed for the Care of Sick Newborns on Nurses' Perception of Nursing Diagnoses and MissCare), which is not on this map. Cited by 92 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 14 pooled it
35.2field-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.

NCT05776615 nacompletednot on this mapstarted 2023, after this paper: background citation

The Effect of the Mobile Application Developed for the Care of Sick Newborns on Nurses' Perception of Nursing Diagnoses and MissCare: A Randomized Controlled Trial

TypeinterventionalSponsorKutahya Health Sciences UniversityRan2023 to 2024Enrolled64ConditionsNursing Caries, NewbornArmsmobile application
3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 14 syntheses or guidelines pooled it, 179 citations in OpenAlex.

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32 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

9 authors at 5 institutions in 5 countries.

Mary Amoakoh-ColemanJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, Netherlands, Utrecht, Netherlands. menba19@yahoo.com.ORCID 0000-0002-0320-0396
Alexander Berend-Jan BorgsteinORCID 0000-0002-5179-1207
Stephanie Fv SondaalORCID 0000-0002-8413-9645
Diederick E GrobbeeORCID 0000-0003-4472-4468
Andrea Solnes MiltenburgORCID 0000-0003-4681-7043
Kerstin Klipstein-GrobuschORCID 0000-0002-5462-9889
Utrecht University · NLGhana Health Service · GHUniversity of Ghana · GHUniversity of Oslo · NOUniversity of the Witwatersrand · ZA

Funding

Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
FIC NIH HHS D43 TW009140
6 · The paper itself

Abstract

backgroundLow- and middle-income countries (LMICs) face the highest burden of maternal and neonatal deaths. Concurrently, they have the lowest number of physicians. Innovative methods such as the exchange of health-related information using mobile devices (mHealth) may support health care workers in the provision of antenatal, delivery, and postnatal care to improve maternal and neonatal outcomes in LMICs.

objectiveWe conducted a systematic review evaluating the effectiveness of mHealth interventions targeting health care workers to improve maternal and neonatal outcomes in LMIC.

methodsThe Cochrane Library, PubMed, EMBASE, Global Health Library, and Popline were searched using predetermined search and indexing terms. Quality assessment was performed using an adapted Cochrane Risk of Bias Tool. A strength, weakness, opportunity, and threat analysis was performed for each included paper.

resultsA total of 19 studies were included for this systematic review, 10 intervention and 9 descriptive studies. mHealth interventions were used as communication, data collection, or educational tool by health care providers primarily at the community level in the provision of antenatal, delivery, and postnatal care. Interventions were used to track pregnant women to improve antenatal and delivery care, as well as facilitate referrals. None of the studies directly assessed the effect of mHealth on maternal and neonatal mortality. Challenges of mHealth interventions to assist health care workers consisted mainly of technical problems, such as mobile network coverage, internet access, electricity access, and maintenance of mobile phones.

conclusionsmHealth interventions targeting health care workers have the potential to improve maternal and neonatal health services in LMICs. However, there is a gap in the knowledge whether mHealth interventions directly affect maternal and neonatal outcomes and future research should employ experimental designs with relevant outcome measures to address this gap.

Indexed as

Pregnancy OutcomeFemaleHealth PersonnelHumansPovertyPregnancySocial ClassTelemedicinelow- and middle-income countriesmaternalmHealthneonatalproviders of care

Identifiers

PMID27543152
PMCPMC5010646
OpenAlexW2513375503

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.