Observational studyJMIR mHealth and uHealth2019
Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study.
Observational study in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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
16 citing papers in PubMed.
- Patient-Accessible Electronic Health Records and Information Practices in Mental Health Care Contexts: Scoping Review.Journal of medical Internet research · 2025Article
- Enhancing the Functionalities of Personal Health Record Systems: Empirical Study Based on the HL7 Personal Health Record System Functional Model Release 1.JMIR medical informatics · 2024Article
- Development of a minimum data set for a blockchain-based personal health records (PHRs), for patient/physician interaction in family medicine.Journal of education and health promotion · 2024Article
- Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs.Applied clinical informatics · 2023Article
- Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study.JMIR mHealth and uHealth · 2023Article
- HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2022Article
- Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis.JMIR formative research · 2022Article
- Digital tools in neurosurgical pathways: considerations for the future.Future healthcare journal · 2022Review
- Adoption of Patient-Generated Health Data in Oncology: A Report From the NCCN EHR Oncology Advisory Group.Journal of the National Comprehensive Cancer Network : JNCCN · 2022Article
- Best practices in the real-world data life cycle.PLOS digital health · 2022Review
- Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals.BMC medical informatics and decision making · 2021Article
- Preferred Functions of Personal Health Records in Rural Primary Health Clinics in Canada: Health Care Team Perspectives.Applied clinical informatics · 2021Article
- Gap between real-world data and clinical research within hospitals in China: a qualitative study.BMJ open · 2020Article
- How IT preparedness helped to create a digital field hospital to care for COVID-19 patients in S. Korea.NPJ digital medicine · 2020Review
- Perspectives of Patients, Health Care Professionals, and Developers Toward Blockchain-Based Health Information Exchange: Qualitative Study.Journal of medical Internet research · 2020Article
- Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems.Healthcare informatics research · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient-generated health data (PGHD), especially lifelog data, are important for managing chronic diseases. Additionally, personal health records (PHRs) have been considered an effective tool to engage patients more actively in the management of their chronic diseases. However, no PHRs currently integrate PGHD directly from Samsung S-Health and Apple Health apps.
objectiveThe purposes of this study were (1) to demonstrate the development of an electronic medical record (EMR)-tethered PHR system (Health4U) that integrates lifelog data from Samsung S-Health and Apple Health apps and (2) to explore the factors associated with the use rate of the functions.
methodsTo upgrade conventional EMR-tethered PHRs, a task-force team (TFT) defined the functions necessary for users. After implementing a new system, we enrolled adults aged 19 years and older with prior experience of accessing Health4U in the 7-month period after November 2017, when the service was upgraded.
resultsOf the 17,624 users, 215 (1.22%) integrated daily steps data, 175 (0.99%) integrated weight data, 51 (0.29%) integrated blood sugar data, and 90 (0.51%) integrated blood pressure data. Overall, 61.95% (10,919/17,624) had one or more chronic diseases. For integration of daily steps data, 48.3% (104/215) of patients used the Apple Health app, 43.3% (93/215) used the S-Health app, and 8.4% (18/215) entered data manually. To retrieve medical documentation, 324 (1.84%) users downloaded PDF files and 31 (0.18%) users integrated their medical records into the Samsung S-Health app via the Consolidated-Clinical Document Architecture download function. We found a consistent increase in the odds ratios for PDF downloads among patients with a higher number of chronic diseases. The age groups of ≥60 years and ≥80 years tended to use the download function less frequently than the others.
conclusionsThis is the first study to examine the factors related to integration of lifelog data from Samsung S-Health and Apple Health apps into EMR-tethered PHRs and factors related to the retrieval of medical documents from PHRs. Our findings on the lifelog data integration can be used to design PHRs as a platform to integrate lifelog data in the future.
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