Evidence map›Paper›PMID 28550003›Full record

ArticleJMIR research protocols2017

An mHealth Framework to Improve Birth Outcomes in Benue State, Nigeria: A Study Protocol.

Echezona Edozie Ezeanolue, Semiu Olatunde Gbadamosi, John Olajide Olawepo, Juliet Iwelunmor, Daniel Sarpong, Chuka Eze, Amaka Ogidi, Dina Patel, Chima Onoka

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03027258 (Point-of-Delivery Prenatal Test Results Through mHealth to Improve Birth Outcome), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT03027258 naunknown statusnot on this map

Point-of-Delivery Prenatal Test Results Through mHealth to Improve Birth Outcome

TypeinterventionalSponsorUniversity of Nevada, Las VegasRan2016 to 2018Enrolled300ConditionsHIV, Sickle Cell Disease, Hepatitis BArmsmHealth
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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.

Echezona Edozie EzeanolueGlobal Health Initiative, School of Community Health Sciences, University of Nevada, Las Vegas, NV, United States.ORCID http://orcid.org/0000-0002-6294-9479
Semiu Olatunde GbadamosiGlobal Health Initiative, School of Community Health Sciences, University of Nevada, Las Vegas, NV, United States.ORCID http://orcid.org/0000-0003-2048-2943
John Olajide OlawepoCatholic Caritas Foundation of Nigeria, Abuja, Nigeria.ORCID http://orcid.org/0000-0001-6732-1042
Juliet IwelunmorDepartment of Kinesiology and Community Health, University of Illinois, Urbana-Champaign, IL, United States.ORCID http://orcid.org/0000-0002-8424-0807
Daniel SarpongCenter for Minority Health and Health Disparities Research and Education, Xavier University, Louisiana, LA, United States.ORCID http://orcid.org/0000-0003-2094-3041
Chuka EzeVitira LLC, Arlington, VA, United States.ORCID http://orcid.org/0000-0003-3591-9204
Amaka OgidiUniversity of Nigeria, Nsukka, Nigeria.ORCID http://orcid.org/0000-0002-8282-1173
Dina PatelGlobal Health Initiative, School of Community Health Sciences, University of Nevada, Las Vegas, NV, United States.ORCID http://orcid.org/0000-0002-6790-6769
Chima OnokaUniversity of Nigeria, Nsukka, Nigeria.ORCID http://orcid.org/0000-0002-3328-1887

Funding

Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
Point-of-Delivery Prenatal Test Results through mHealth to Improve Birth OutcomeR21TW010252 · FIC · UNIVERSITY OF NEVADA LAS VEGAS · PI EZEANOLUE, ECHEZONA EDOZIE · 2015 to 2016
$322k
FIC NIH HHS R21 TW010252NIMHD NIH HHS G12 MD007595
6 · The paper itself

Abstract

backgroundThe unprecedented coverage of mobile technology across the globe has led to an increase in the use of mobile health apps and related strategies to make health information available at the point of care. These strategies have the potential to improve birth outcomes, but are limited by the availability of Internet services, especially in resource-limited settings such as Nigeria.

objectiveOur primary objective is to determine the feasibility of developing an integrated mobile health platform that is able to collect data from community-based programs, embed collected data into a smart card, and read the smart card using a mobile phone-based app without the need for Internet access. Our secondary objectives are to determine (1) the acceptability of the smart card among pregnant women and (2) the usability of the smart card by pregnant women and health facilities in rural Nigeria.

methodsWe will leverage existing technology to develop a platform that integrates a database, smart card technology, and a mobile phone-based app to read the smart cards. We will recruit 300 pregnant women with one of the three conditions-HIV, hepatitis B virus infection, and sickle cell trait or disease-and four health facilities in their community. We will use Glasgow's Reach, Effectiveness, Adoption, Implementation, and Maintenance framework as a guide to assess the implementation, acceptability, and usability of the mHealth platform.

resultsWe have recruited four health facilities and 300 pregnant women with at least one of the eligible conditions. Over the course of 3 months, we will complete the development of the mobile health platform and each participant will be offered a smart card; staff in each health facility will receive training on the use of the mobile health platform.

conclusionsFindings from this study could offer a new approach to making health data from pregnant women available at the point of delivery without the need for an Internet connection. This would allow clinicians to implement evidence-based interventions in real time to improve health outcomes.

trial registrationClinicalTrials.gov NCT03027258; https://clinicaltrials.gov/ct2/show/NCT03027258 (Archived by WebCite at http://www.webcitation.org/6owR2D0kE).

Indexed as

hepatitis BHIVmHealthmobile health technologyNigeriasickle cell diseasesmart card

Identifiers

PMID28550003
PMCPMC5466701

What OpenQuestion holds

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LicenceCC BY
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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.