ArticleBMJ open2014
Perceptions of chronically ill and healthy consumers about electronic personal health records: a comparative empirical investigation.
Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.Journal of medical Internet research · 2018Pooled it
- Your DNA, your concerns: public attitudes toward donation of genomic data for research in four Latin American countries.Journal of community genetics · 2026Article
- Decoding privacy concerns: the role of perceived risk and benefits in personal health data disclosure.Archives of public health = Archives belges de sante publique · 2024Article
- How do opt-in versus opt-out settings nudge patients toward electronic health record adoption? An exploratory study of facilitators and barriers in Austria and France.BMC health services research · 2024Article
- 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
- Factors Associated With Willingness to Share Health Information: Rapid Review.JMIR human factors · 2022Review
- Factors Affecting Willingness on Sharing of Electronic Health Records Data: A Survey on Chinese Residents.Journal of oncology · 2022Article
- Sociotechnical Drivers and Barriers in the Consumer Adoption of Personal Health Records: Empirical Investigation.JMIR medical informatics · 2021Article
- Patient Privacy Perspectives on Health Information Exchange in a Mental Health Context: Qualitative Study.JMIR mental health · 2019Article
- Article
- Personal health records in the Netherlands: potential user preferences quantified by a discrete choice experiment.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals.BMC medical informatics and decision making · 2016Article
- Perceived challenges for adopting the Personal Health Record (PHR) at Ministry of National Guard Health Affairs (MNGHA)- Riyadh.Online journal of public health informatics · 2016Article
- Treatment of Infantile Hemangioma in Regional Hospitals With eHealth Support: Evaluation of Feasibility and Acceptance by Parents and Doctors.JMIR research protocols · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
objectiveTo develop a model of consumer perceptions of electronic personal health records (PHRs) and validate it in a comparative study between consumers who report having a chronic illness and those who report being well. MATERIALS AND
methodsA model of PHR use motivators and barriers was built and tested through a national survey across Canada. Data were collected from 800 individuals, 18 years or older. Half reported having a chronic illness or disability and half reported being well. Analyses were performed with structural equation modelling techniques.
resultsA total of 389 answers from chronically ill and 383 from well participants were collected. Perceived usefulness was the key explanation of the intention to use PHRs for both ill and well people (total effect of 0.601 and 0.565, respectively) followed by security, privacy and trust in PHRs (total effect of 0.377 and 0.479, respectively). Conversely, computer anxiety was perceived as a significant barrier (total effect of -0.327 for ill individuals and -0.212 for well individuals). DISCUSSION: The model proposed was appropriate in explaining key consumer positive and negative perceptions on electronic PHR use. We found little difference in perceptions of electronic PHRs between chronically ill and well individuals, although self-reporting their health status might have influenced the results.
conclusionsTo increase the adoption rate of electronic PHRs among both chronically ill and well consumers it is necessary to reinforce consumer perceptions of the usefulness of and trust in these eHealth technologies while mitigating their anxieties about computer use in general.
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Registered trials
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