Evidence map›Paper›PMID 36949403›Full record

ArticleBMC pregnancy and childbirth2023

Acceptability and user experiences of a patient-held smart card for antenatal services in Nigeria: a qualitative study.

Ijeoma Uchenna Itanyi, Juliet Iwelunmor, John Olajide Olawepo, Semiu Gbadamosi, Alexandra Ezeonu, Adaeze Okoli, Amaka Grace Ogidi, Donaldson Conserve, Byron Powell, Chima Ariel Onoka and 1 more

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Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

11 authors.

Ijeoma Uchenna ItanyiDepartment of Community Medicine, College of Medicine, University of Nigeria Nsukka, Enugu, Nigeria.ORCID http://orcid.org/0000-0002-4958-6319
Juliet IwelunmorDepartment of Behavioral Science and Health Education, Saint Louis University, Saint Louis, USA.
John Olajide OlawepoCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria.
Semiu GbadamosiRobert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA.
Alexandra EzeonuCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria.
Adaeze OkoliCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria.
Amaka Grace OgidiCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria.
Donaldson ConserveDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, USA.
Byron PowellBrown School, Washington University in St. Louis, Washington, USA.
Chima Ariel OnokaCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria.
Echezona Edozie EzeanolueCenter for Translation and Implementation Research, University of Nigeria Nsukka, Enugu, Nigeria. eezeanolue@gmail.com.

Funding

Intervention for Sustained Testing and Retention (iSTAR) Among HIV-infected PatientsR01HD087994 · NICHD · UNIVERSITY OF NEVADA LAS VEGAS · PI EZEANOLUE, ECHEZONA EDOZIE, ONOKA, CHIMA · 2016 to 2017
$1.9M
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 TW010252NICHD NIH HHS R01 HD087994NIH HHS R01HD087994NIH HHS R21TW010252
6 · The paper itself

Abstract

backgroundPoor maternal, newborn and child health outcomes remain a major public health challenge in Nigeria. Mobile health (mHealth) interventions such as patient-held smart cards have been proposed as effective solutions to improve maternal health outcomes. Our objectives were to assess the acceptability and experiences of pregnant women with the use of a patient-held smartcard for antenatal services in Nigeria.

methodsUsing focus group discussions, qualitative data were obtained from 35 pregnant women attending antenatal services in four Local Government Areas (LGAs) in Benue State, Nigeria. The audio-recorded data were transcribed and analyzed using framework analysis techniques such as the PEN-3 cultural model as a guide.

resultsThe participants were 18-44 years of age (median age: 24 years), all were married and the majority were farmers. Most of the participants had accepted and used the smartcards for antenatal services. The most common positive perceptions about the smartcards were their ability to be used across multiple health facilities, the preference for storage of the women's medical information on the smartcards compared to the usual paper-based system, and shorter waiting times at the clinics. Notable facilitators to using the smartcards were its provision at the "Baby showers" which were already acceptable to the women, access to free medical screenings, and ease of storage and retrieval of health records from the cards. Costs associated with health services was reported as a major barrier to using the smartcards. Support from health workers, program staff and family members, particularly spouses, encouraged the participants to use the smartcards.

conclusionThese findings revealed that patient-held smart card for maternal health care services is acceptable by women utilizing antenatal services in Nigeria. Understanding perceptions, barriers, facilitators, and supportive systems that enhance the use of these smart cards may facilitate the development of lifesaving mobile health platforms that have the potential to achieve antenatal, delivery, and postnatal targets in a resource-limited setting.

Indexed as

Health Smart CardsMaternal Health ServicesPrenatal CareAdultChildFemaleHumansImplementation ScienceInfant, NewbornMobile ApplicationsNigeriaPatient Acceptance of Health CarePregnancyPregnant PeopleQualitative ResearchTelemedicineAcceptabilityAntenatal servicesImplementation researchMaternal healthmHealthMobile appNigeriaResource-limited settingSmart cardsUser perception

Identifiers

PMID36949403
PMCPMC10031993

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read10
Read underepoch 390

Registered trials

None linked

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.