Evidence map›Paper›PMID 39911781›Full record

ArticleFrontiers in public health2024

Development of an educational and monitoring mobile application for pregnant women in Nigeria.

Abdulhammed Opeyemi Babatunde, Adejumoke Idowu Ayede, Amalia Colangelo, Tuan Dung Nguyen, Abdullahi Tunde Aborode, Charles Umeh, Maria Paula Hernandez, Oluwaseyi Iyanuoluwa Ayede, Oluwatobiloba Oluwadunni Ayede

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Abdulhammed Opeyemi BabatundeCollege of Medicine, University of Ibadan and University College Hospital, Ibadan, Oyo State, Nigeria.
Adejumoke Idowu AyedeCollege of Medicine, University of Ibadan and University College Hospital, Ibadan, Oyo State, Nigeria.
Amalia ColangeloMyBelle Digital Maternal and Child Health Organisation, Ibadan, Nigeria.
Tuan Dung NguyenMyBelle Digital Maternal and Child Health Organisation, Ibadan, Nigeria.
Abdullahi Tunde AborodeMyBelle Digital Maternal and Child Health Organisation, Ibadan, Nigeria.
Charles UmehMyBelle Digital Maternal and Child Health Organisation, Ibadan, Nigeria.
Maria Paula HernandezMyBelle Digital Maternal and Child Health Organisation, Ibadan, Nigeria.
Oluwaseyi Iyanuoluwa AyedeCentre for African Newborn Health and Nutrition, University College Hospital, Ibadan, Oyo State, Nigeria.
Oluwatobiloba Oluwadunni AyedeBenjamin S. Carson College of Health and Medical Sciences, Babcock University, Ilishan-Remo, Ogun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nigeria accounts for 20% of all maternal mortality. Recently, more mobile health technology (mHealth) interventions are emerging in sub-Saharan Africa. The potential of mobile applications in maternal care has not been explored in Nigeria. This study describes the process of design, development, and testing of an educational and monitoring mobile application for pregnant women in Nigeria. Method: Using a user-centered design, we conducted semi-structured interviews at each stage of mobile application development with pregnant women attending antenatal clinics in Oyo State, Nigeria. The first interview focused on empathy, followed by alpha and beta testing of the mobile application prototype at health facilities. Results: The barriers to accessing perinatal care were the distance to the nearest facility (mean = 3.3 km), lack of perinatal education, and cost. The low-fidelity prototype of the mobile application was designed with five features. Mobile applications increased the level of knowledge of preeclampsia by 179%. User feedback from alpha testing informed the development of a high-fidelity prototype for beta testing. Ninety-five percent (95%) of pregnant women surveyed were willing to download the mobile application. The final application developed was uploaded to the Google Play Store (MyBelle pregnancy application). Conclusion: mHealth applications have the potential to increase access to prenatal information and services in Nigeria and may reduce maternal and childhood mortality. This study has described the process of development of the first indigenous mobile application specifically for pregnant women in Nigeria using a user-centered design thinking approach.

Indexed as

Mobile ApplicationsPregnant PeoplePrenatal CareAdultFemaleHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHumansInterviews as TopicNigeriaPregnancyTelemedicineYoung AdulteducationalmHealthmobile applicationmonitoringpregnancy

Identifiers

PMID39911781
PMCPMC11794200

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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.