Objective: The American Nurses Association endorsed the use of online patient personal health records (PHRs) and challenged all nurses to obtain the health records of patients. However, few studies have explored the factors associated with the intentions of nurses to use patient PHRs. Our study used an extended technology acceptance model, with the theory of planned behavior and perceived credibility, to explore factors associated with the intentions of nurses to use patient PHRs.
Methods: This cross-sectional quantitative study comprised a sample of 635 nurses who had worked full time for at least 3 months, and they were recruited from three hospitals affiliated with a university in northern Taiwan. We used a questionnaire to obtain information on perceived usefulness, perceived ease of use, perceived credibility, subjective norms, computer self-efficacy, attitudes, and intentions to use patient PHRs.
Results: This study indicated that perceived usefulness, computer self-efficacy, and subjective norms significantly and positively affected intentions to use patient PHRs. The attitudes of nurses toward PHR adoption directly influenced their intentions to use patient PHRs. Moreover, subjective norms indirectly affected intentions to use patient PHRs through the factor of attitudes. The proposed model explained 82.1% of the variance in the intentions of nurses to use patient PHRs.
Conclusions: Subjective norms had stronger total effects on the attitudes and intentions of nurses to use patient PHRs than perceived usefulness, perceived ease of use, or perceived credibility did. The results may help practitioners further understand that the attitudes of nurses toward using patient PHRs are influenced by peer groups and administrators. The current study provides evidence that peer groups influence the attitudes of nurses to use patient PHRs, which in turn influence their intentions toward PHR adoption.
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http://dx.doi.org/10.1016/j.cmpb.2016.08.004 | DOI Listing |
J Educ Health Promot
October 2024
Department of Knowledge and Information Science, School of Education and Psychology, Shiraz University, Shiraz, Iran.
Background: The primary requirement for a capable patient health record (PHR) that can interact appropriately with the family medicine system and collect and share qualified data is a minimum data set (MDS) aligned with family medicine's functions and goals. The aim of this research was to determine the MDS for a blockchain-based PHR system that can effectively interact with family medicine providers and collect and share qualified data. This MDS is intended to be applicable to all members of the community covered by family medicine.
View Article and Find Full Text PDFESC Heart Fail
November 2024
Department of Medical Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Background: There are limited data on the efficacy of smartphone-based personal health records (PHRs) in patients with cardiovascular disease. This study aimed to examine the processes, outcomes and challenges associated with the implementation of integrated PHRs in patients with heart failure (HF) or coronary artery disease (CAD).
Methods: This prospective single-group study evaluated the effects of a PHR system with the capability to capture electronic health records and vital signs in patients with HF or CAD.
Front Med (Lausanne)
September 2024
Department of Health Informatics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Introduction: Chronic diseases are the leading causes of death in the world. In sub-Saharan Africa, it leads to more mortality than almost every other region in the world. Currently, digital health technology like personal health records plays a crucial role in managing patients with chronic diseases.
View Article and Find Full Text PDFHealth Inf Manag
August 2024
Faculty of Medicine and Health, School of Pharmacy, University of Sydney, Sydney, New South Wales, Australia.
National Personal Health Records (PHRs) have been proposed to improve the transfer of medication-related information during transition of care. To evaluate the concordance between the medications captured in the Australian national PHR, My Health Record (MyHR), and the pharmacist obtained best possible medication history (BPMH) for patients upon hospital admission. This prospective observational study used a convenience sample of hospital patients.
View Article and Find Full Text PDFStud Health Technol Inform
August 2024
Medical Informatics, Tohoku University Graduate School of Medicine, Japan.
Although Patient Health Records (PHRs) are vital tools for patients, enabling them to access and manage health information, it remains challenging for doctors and patients to gather a swift overview of a patient's health status based on the extensive information included in the PHR. Our study introduces a generative pre-trained transformer-based language model to summarize health information documented in previously developed PHRs efficiently. By fine-tuning the model, we achieved results comparable to those of other studies in this domain, despite utilizing a smaller dataset.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!