Evidence map›Paper›PMID 35057761›Full record

ArticleBMC pregnancy and childbirth2022

The effect of a decision-support mHealth application on maternal and neonatal outcomes in two district hospitals in Rwanda: pre - post intervention study.

Aurore Nishimwe, Latifat Ibisomi, Marc Nyssen, Daphney Nozizwe Conco

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 19 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

4 authors at 2 institutions in 4 countries.

Aurore NishimweSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 1 Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa. naurore@cartafrica.org.ORCID http://orcid.org/0000-0002-8019-2561
Latifat IbisomiSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 1 Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa.
Marc NyssenDepartment of Biomedical Statistics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium.
Daphney Nozizwe ConcoSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 1 Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa.
University of the Witwatersrand · ZAVrije Universiteit Brussel · BE

Funding

Consortium for Advanced Research and Training in Africa (CARTA) Cohort 7
6 · The paper itself

Abstract

backgroundGlobally, mobile health (mHealth) applications are known for their potential to improve healthcare providers' access to relevant and reliable health information. Besides, electronic decision support tools, such as the Safe Delivery mHealth Application (SDA), may help to reduce clinical errors and to ensure quality care at the point of service delivery. The current study investigated the use of the SDA and its relationship to basic emergency obstetric and newborn care (BEmONC) outcomes for the most frequent complications in Rwanda; post-partum haemorrhage (PPH) and newborn asphyxia.

methodsThe study adopted a pre-post intervention design. A pre-intervention record review of BEmONC outcomes: Apgar score and PPH progressions, was conducted for 6 months' period (February 2019 - July 2019). The intervention took place in two district hospitals in Rwanda and entails the implementation of the SDA for 6 months (October 2019- March 2020), and included 54 nurses and midwives using the SDA to manage PPH and neonatal resuscitation. Six months' post-SDA intervention, the effect of the SDA on BEmONC outcomes was evaluated. The study included 327 participants (114 cases of PPH and 213 cases of neonatal complications). The analysis compared the outcome variables between the baseline and the endline data. Fisher's exact test was used to compare the proportions and test between-group differences and significance level set at p < 0.05.

resultsUnstable newborn outcomes following neonatal resuscitation were recorded in 62% newborns cases at baseline and 28% newborns cases at endline, P-value = 0.000. Unstable maternal outcomes following PPH management were recorded in 19% maternal cases at baseline and 6% maternal cases at endline, P-value = 0.048. There was a significant association between the SDA intervention and newborns' and maternal' outcomes following neonatal resuscitation and PPH management, 6 months after baseline.

conclusionThe use of the SDA supported nurses and midwives in the management of PPH and neonatal resuscitation which may have contributed to improved maternal and neonatal outcomes during 6 months of the SDA intervention. The findings of this study are promising as they contribute to a broader knowledge about the effectiveness of SDA in low and middle income hospital settings.

Indexed as

Mobile ApplicationsAdultAsphyxia NeonatorumClinical Decision-MakingDecision Support Systems, ClinicalEmergency TreatmentFemaleHospitals, DistrictHumansInfant, NewbornMaleOutcome Assessment, Health CarePostpartum HemorrhageTelemedicineBEmONCMaternal outcomemHealthNeonatal outcomeRwandaSafe delivery application

Identifiers

PMID35057761
PMCPMC8781474
OpenAlexW4205641807

What OpenQuestion holds

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LicenceCC BY
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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.