Evidence mapPaperPMID 38023089Full record

ArticleJournal of education and health promotion2023

Mothers' views on mobile health in self-care for pregnancy: A step towards mobile application development.

Behnaz Pouriayevali, Asghar Ehteshami, Shahnaz Kohan, Sakineh Saghaeiannejad Isfahani

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Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Behnaz PouriayevaliDepartment of Management and Health Information Technology, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Asghar EhteshamiDepartment of Management and Health Information Technology, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Shahnaz KohanDepartment of Midwifery and Reproductive Health, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Sakineh Saghaeiannejad IsfahaniDepartment of Management and Health Information Technology, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApplications for pregnancy self-care (APSC) can improve post-partum by empowering pregnant women's status quo. This study endeavored to identify the operational needs of an application (app) from the perspective of Iranian pregnant women. MATERIALS AND

methodsIn a qualitative manner, semi-structured and face-to-face interviews were conducted using an interview guide. Interviewees were pregnant women who encountered to health facilities of Isfahan University of Medical Sciences for prenatal care and were willing to be interviewed. The interviews were conducted from June 2019 to June 2021. All the recorded interviews were transcribed. The obtained data were analyzed through conventional content analysis using MAXQDA 12 (Developer: VERBI GmbH Release: 2015 Version: 12 OS: Microsoft Windows Type: Qualitative Data Analysis - Offline). Data saturation was obtained after 14 interviews. One of the researchers, as a data encoder, became acquainted with them by immersing himself in the data. After the data was first encoded and summarized, the codes were analyzed. In addition, an attempt was made to reduce the impact of researchers' experiences at different stages of the study process.

resultsBased on the opinions of pregnant women, 7 main themes (nutrition, training, fatal monitoring, relaxation, health, risk factors, physical activity) and 38 sub-themes were identified for APSC development. The findings revealed that pregnant women tend to use APSC, but because they are not comprehensive, women search the Internet to answer some of their information needs.

conclusionsThe findings can be useful in developing a comprehensive pregnancy self-care mobile application that is localized based on the operational needs of pregnant women to make them capable and self-caring in controlling pre-risk situations.

Indexed as

Mobile applicationspregnancyself-caretelemedicine

Identifiers

PMID38023089
PMCPMC10670861

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.