Understanding pregnant women’s intention to use mobile health apps and its determinants: applying the UTAUT model in a mixed-methods study

The integration of qualitative and quantitative findings offers a comprehensive understanding of the factors influencing pregnant women's behavioral intentions to use mHealth apps. To enhance adoption and effectiveness, mHealth app design should prioritize usability, credibility, and support mechanisms tailored to prenatal care needs.

Authors

Institutions

Publication Details

Journal
BMC Primary Care
Published
2025-08-11
DOI
https://doi.org/10.1186/s12875-025-02950-7
Citations
1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
2.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding pregnant women’s intention to use mobile health apps and its determinants: applying the UTAUT model in a mixed-methods study

Robab Latifnejad Roudsari, Samira Ebrahimzadeh Zagami, Fateme Asadollahi
1 citations
BMC Primary Care
Mobile Health and mHealth Applications
2.82
article

Understanding pregnant women’s intention to use mobile health apps and its determinants: applying the UTAUT model in a mixed-methods study

Robab Latifnejad Roudsari, Samira Ebrahimzadeh Zagami, Fateme Asadollahi
article en
1 citations

Abstract

The integration of qualitative and quantitative findings offers a comprehensive understanding of the factors influencing pregnant women's behavioral intentions to use mHealth apps. To enhance adoption and effectiveness, mHealth app design should prioritize usability, credibility, and support mechanisms tailored to prenatal care needs.

BMC Primary CareVol. 26(1)
Mashhad University of Medical Sciences (IR), Iranshahr University (IR)
Mashhad University of Medical Sciences
Reduced inequalities
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
2.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Understanding pregnant women’s intention to use mobile health apps and its determinants: applying the UTAUT model in a mixed-methods study — Robab Latifnejad Roudsari, Samira Ebrahimzadeh Zagami, et al. · BMC Primary Care (2025) | TGRS Research Map | TGRS