Age differences in motivations, barriers, and facilitators of wearable and mobile app use in a government-led digital health initiative: a qualitative study

Chronic diseases have long been major public health concerns worldwide, and government-led digital health initiatives, such as the use of wearable activity trackers, have emerged as promising approaches to promote continuous self-care and patient empowerment. As their adoption expands, understanding the factors influencing sustained engagement is essential to maximize their contribution to population health. This qualitative study explored participants’ experiences in a community-based, government-led digital health promotion program to identify key motivators, facilitators, barriers, and areas for improvement, with particular attention to age-related differences. We conducted a qualitative focus group study to examine user experiences with a government-led digital health initiative in Seoul, Republic of Korea, from November 2021 to August 2022. The program offered wearable activity trackers and a mobile app that enabled step monitoring, personal goal setting, and point-based rewards for health-related products. Participants were purposively recruited across engagement levels to capture diverse experiences, and age-related differences were analyzed. Data were thematically analyzed using an inductive approach, with credibility ensured through double coding, peer debriefing, and triangulation. Fifty participants were included in the focus group study (mean age = 40.1 years; 44% men). Age-stratified analysis (19–39 vs. 40–64 years) revealed that younger adults were motivated by appearance, fitness, and technology exploration, whereas middle-aged adults emphasized health maintenance and practical rewards. Engagement was facilitated by ease of use, real-time feedback, and trust in the public program, while barriers included technical issues, limited personalization, and administrative inconvenience. Participants recommended more personalized feedback, automatic data synchronization, and broader reward usability to enhance sustained participation. This study identified key factors influencing the use of wearable activity trackers in a government-led digital health program. Enhancing technical reliability, personalization, and age-sensitive design is essential for sustaining engagement and maximizing public health impact.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-09-30
DOI
https://doi.org/10.1186/s12889-026-29596-z
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Age differences in motivations, barriers, and facilitators of wearable and mobile app use in a government-led digital health initiative: a qualitative study

Hyeonjin Cho, Mangyeong Lee, Juhee Cho, Su Jin Kim et al.
BMC Public Health
Mobile Health and mHealth Applications
article

Age differences in motivations, barriers, and facilitators of wearable and mobile app use in a government-led digital health initiative: a qualitative study

Hyeonjin Cho, Mangyeong Lee, Juhee Cho, Su Jin Kim, Junghee Yoon, Jungin Joo, Jiyoon Han
article en

Abstract

Chronic diseases have long been major public health concerns worldwide, and government-led digital health initiatives, such as the use of wearable activity trackers, have emerged as promising approaches to promote continuous self-care and patient empowerment. As their adoption expands, understanding the factors influencing sustained engagement is essential to maximize their contribution to population health. This qualitative study explored participants’ experiences in a community-based, government-led digital health promotion program to identify key motivators, facilitators, barriers, and areas for improvement, with particular attention to age-related differences. We conducted a qualitative focus group study to examine user experiences with a government-led digital health initiative in Seoul, Republic of Korea, from November 2021 to August 2022. The program offered wearable activity trackers and a mobile app that enabled step monitoring, personal goal setting, and point-based rewards for health-related products. Participants were purposively recruited across engagement levels to capture diverse experiences, and age-related differences were analyzed. Data were thematically analyzed using an inductive approach, with credibility ensured through double coding, peer debriefing, and triangulation. Fifty participants were included in the focus group study (mean age = 40.1 years; 44% men). Age-stratified analysis (19–39 vs. 40–64 years) revealed that younger adults were motivated by appearance, fitness, and technology exploration, whereas middle-aged adults emphasized health maintenance and practical rewards. Engagement was facilitated by ease of use, real-time feedback, and trust in the public program, while barriers included technical issues, limited personalization, and administrative inconvenience. Participants recommended more personalized feedback, automatic data synchronization, and broader reward usability to enhance sustained participation. This study identified key factors influencing the use of wearable activity trackers in a government-led digital health program. Enhancing technical reliability, personalization, and age-sensitive design is essential for sustaining engagement and maximizing public health impact.

BMC Public Health
Samsung Medical Center (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 7%
Mobile Health and mHealth Applications
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.