ArticleJournal of medical Internet research2017
Consumer Adoption of Personal Health Record Systems: A Self-Determination Theory Perspective.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient Portal Functionalities and Patient Outcomes Among Patients With Diabetes: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Heterogeneity in willingness to share personal health information: a nationwide cluster analysis of 20,000 adults in Japan.Archives of public health = Archives belges de sante publique · 2025Article
- Experiences and Expectations of Immigrant and Nonimmigrant Older Adults Regarding eHealth Services: Qualitative Interview Study.Journal of medical Internet research · 2025Article
- Mindfulness Intervention for Health Information Avoidance in Older Adults: Mixed Methods Study.JMIR public health and surveillance · 2025Article
- A qualitative study of factors influencing ePHR adoption by caregivers and care providers of Alzheimer's patients: An extension of the unified theory of acceptance and use of technology model.Health science reports · 2023Article
- The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.International journal of environmental research and public health · 2023Article
- Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study.Frontiers in public health · 2023Article
- Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework.Healthcare (Basel, Switzerland) · 2022Article
- Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals.BMC medical informatics and decision making · 2021Article
- Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study.Journal of medical Internet research · 2021Article
- Sociotechnical Drivers and Barriers in the Consumer Adoption of Personal Health Records: Empirical Investigation.JMIR medical informatics · 2021Article
- Patient Portals: Useful for Whom and for What? A Cross-Sectional Analysis of National Survey Data.Applied clinical informatics · 2021Article
- A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs.International journal of environmental research and public health · 2021Article
- Consumers' Intentions to Adopt Blockchain-Based Personal Health Records and Data Sharing: Focus Group Study.JMIR formative research · 2020Article
- Patients' Adoption of Electronic Personal Health Records in England: Secondary Data Analysis.Journal of medical Internet research · 2020Article
- Factors Affecting Patients' Use of Electronic Personal Health Records in England: Cross-Sectional Study.Journal of medical Internet research · 2019Article
- Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study.JMIR mHealth and uHealth · 2019Article
- Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern.The Libyan journal of medicine · 2018Article
- Important Design Features of Personal Health Records to Improve Medication Adherence for Patients with Long-Term Conditions: Protocol for a Systematic Literature Review.JMIR research protocols · 2018Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPersonal Health Records (PHR) systems provide individuals with access and control over their health information and consequently can support individuals in becoming active participants, rather than passive recipients, in their own care process. In spite of numerous benefits suggested for consumers' utilizing PHR systems, research has shown that such systems are not yet widely adopted or well known to consumers. Bearing in mind the potential benefits of PHRs to consumers and their potential interest in these systems-and that similar to any other type of information system, adoption is a prerequisite for realizing the potential benefits of PHR systems-research is needed to understand how to enhance the adoption rates for PHR systems.
objectiveThis research seeks to understand how individuals' intentions to adopt PHR systems are affected by their self-determination in managing their own health-the extent of their ability to take an active role in managing their own health. As such, this research aims to develop and empirically validate a theoretical model that explains PHR systems adoption by the general public through the integration of theories from the information systems and psychology literatures.
methodsThis research employs a cross-sectional survey method targeted at the Canadian general public without any prior experience in using PHR systems. A partial least squares approach to structural equation modeling was used to validate the proposed research model of this study (N=159).
resultsIndividuals with higher levels of ability to manage their own health (self-determination) are more likely to adopt PHR systems since they have more positive perceptions regarding the use of such systems. Further, such self-determination is fueled by autonomy support from consumers' physicians as well as the consumers' personality trait of autonomy orientation.
conclusionsThis study advances our theoretical understanding of PHR systems adoption. It also contributes to practice by providing insightful implications for designing, promoting, and facilitating the use of PHR systems among consumers.
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Registered trials
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 OpenQuestion graph.