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Although smartphone mHealth apps provide many benefits for users, people know little about the factors that drive elderly users to adopt this new service platform in the context of an aging population. This study aims to learn the factors that affect elderly people\u2019s intentions to adopt smartphone mHealth apps, and use the technology acceptance model as a theoretical basis to integrate perceived convenience, perceived quality, perceived risk and perceived trust, in an attempt to construct a research model on the intentions to use smartphone mHealth apps. The elderly users\u2019 data were collected by questionnaire survey and analyzed quantitatively by structural equation model. By analyzing the 263 valid data collected, the results showed that users\u2019 perceived trust (\u03b2\u2009=\u20090.427, p\u2009&lt;\u2009.001), attitude (\u03b2\u2009=\u20090.285, p\u2009&lt;\u2009.001), and perceived quality (\u03b2\u2009=\u20090.278, p\u2009&lt;\u2009.001) of mobile medical applications positively influenced users\u2019 intention to use the applications, while perceived risk (\u03b2\u2009=\u2009\u22120.173, p\u2009&lt;\u2009.001) had a negative impact on the intention to use. Perceived trust was also directly positively influenced by perceived quality (\u03b2\u2009=\u20090.434, p\u2009&lt;\u2009.001) and perceived ease of use, and perceived convenience positively influenced perceived usefulness (\u03b2\u2009=\u20090.358, p\u2009&lt;\u2009.001) and attitude (\u03b2\u2009=\u20090.299, p\u2009&lt;\u2009.001). These findings can help us better understand the factors that influence the adoption of smartphone mHealth apps. This study further extends the technology acceptance model and its application domains to help mHealth researchers, designers, marketers, and service providers improve mHealth services and help increase users\u2019 intentions to adopt mHealth apps.<\/jats:p>","DOI":"10.1371\/journal.pone.0361137","type":"journal-article","created":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T17:21:36Z","timestamp":1792776096000},"page":"e0361137","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Factors influencing elderly people\u2019s intentions to use smartphone mHealth apps: Quantitative research"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4055-4983","authenticated-orcid":true,"given":"Tianyang","family":"Huang","sequence":"first","affiliation":[{"name":"Xiamen University of Technology","place":["Xiamen, China"],"department":["School of Design Art"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqin","family":"Cai","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of Fujian Medical University, Fujian Medical University","place":["Fuzhou, China"],"department":["Department of Geriatrics"]},{"name":"Fujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University","place":["Fuzhou, China"]},{"name":"National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University","place":["Fuzhou, China"],"department":["Department of Geriatrics"]},{"name":"Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, The First Affiliated Hospital of Fujian Medical University","place":["Fuzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,23]]},"reference":[{"key":"pone.0361137.ref001","doi-asserted-by":"crossref","unstructured":"Sedrati H, Nejjari C, Chaqsare S, Ghazal H. 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