ArticleJournal of medical Internet research2021
The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Parents', Teachers', and Sledders' Acceptability of a Virtual Reality Game for Sledding Safety Education: Cross-Sectional Study.JMIR formative research · 2025Article
- Investigating Continuance Intention for Telehealth Visits in Children's Hospitals: Survey-Based Study.Journal of medical Internet research · 2025Article
- Understanding older adults' adoption of smart product-service systems for medication management in China: an extended UTAUT model approach.Frontiers in public health · 2025Article
- Perceived Credibility of Public Health Campaigns and Its Impact on Infection Control Behaviors: Mediating Roles of Health Literacy and Motivation.Journal of multidisciplinary healthcare · 2025Article
- The Influence of Multiple Factors on Musicology Doctoral Students' Academic Performance: An Empirical Study Based in China.Behavioral sciences (Basel, Switzerland) · 2024Article
- Health Locus of Control and Medical Behavioral Interventions: Systematic Review and Recommendations.Interactive journal of medical research · 2024Review
- Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians' and Specialists' Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study.JMIR formative research · 2024Article
- Social Media in Pregnancy Care: Exploring Adoption Factors and Digital Healthcare Information Utilization among Expectant Mothers in Ghana.Ethiopian journal of health sciences · 2024Article
- Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study.JMIR human factors · 2023Article
- Mobile Health Fitness Interventions: Impact of Features on Routine Use and Data Sharing Acceptability.JACC. Advances · 2023Article
- What Are the Features Promoting and Deterring Engagement in Mobile Health Intervention Use.JACC. Advances · 2023Article
- Protection Motivation Perspective Regarding the Use of COVID-19 Mobile Tracing Apps Among Public Users: Empirical Study.JMIR formative research · 2023Article
- The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy.Frontiers in public health · 2022Article
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4 authors.
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Abstract
backgroundMobile health (mHealth) as an innovative form of information and communications technology can efficiently deliver high-quality health care by enhancing communication and health management, reducing costs, and increasing access to health services. An individual's internal health locus of control (HLOC) is found to be associated with the behavioral intent to adopt mHealth. However, little is known about the underlying mechanism of this association.
objectiveThe primary objective of this study was to test the mediation influence of the Unified Theory of Acceptance and Use of Technology (UTAUT) on the relationship between internal HLOC and the behavioral intention to use mHealth.
methodsA total of 374 responses were collected from Malaysian adult users of mHealth, using convenience and snowball sampling methods. Partial least squares structural equation modeling was used to analyze the data. Data were collected for variables, including demographics, internal HLOC, and modified UTAUT constructs (ie, performance expectancy, effort expectancy, and social influence).
resultsThe results showed that there was no direct relationship between internal HLOC and the behavioral intention to use mHealth (β=-0.039, P=.32). The indirect relationship between internal HLOC and the intent to adopt mHealth was supported, indicating that the UTAUT constructs performance expectancy (β=0.104, P<.001), effort expectancy (β=0.056, P=.02), and social influence (β=0.057, P=.002) mediated this relationship. The results showed full mediation, with total variance explained at 47.2%.
conclusionsThis study developed an integrative model, where a health-related disposition (internal HLOC), mHealth-related beliefs (performance expectancy and effort expectancy), and normative pressure (social influence) were combined to explain the underlying mechanism of the behavioral intent to adopt mHealth. The results showed that the intention to adopt mHealth is mediated by the influence of UTAUT factors, while HLOC has no direct effect on adoption intention. The findings provide insights into augmenting mHealth adoption among the public by enhancing the perceived benefits of mHealth, helping design more effective and user-friendly mHealth tools, and capitalizing on social normative influence to adopt mHealth. This study utilized the constructs of the UTAUT model to determine the intention to use mHealth. Future research should focus on other health- and technology-related theories to ascertain other possible factors influencing the behavioral intent of mHealth adoption.
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