Trial reportJournal of medical Internet research2017
Impact of an Electronic Health Record-Integrated Personal Health Record on Patient Participation in Health Care: Development and Randomized Controlled Trial of MyHealthKeeper.
Trial report 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. It is linked to trial NCT03200119 (A Study of the Management of the Patient's Disease Based on the Life Log Data of Patients With Lifestyle-related Diseases Through a Wearable Device), which is not on this map. Cited by 41 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
A Study of the Management of the Patient's Disease Based on the Life Log Data of Patients With Lifestyle-related Diseases Through a Wearable Device
Who cites it
41 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- The Impact of Patient Access to Electronic Health Records on Health Care Engagement: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Health wearable devices for weight and BMI reduction in individuals with overweight/obesity and chronic comorbidities: systematic review and network meta-analysis.British journal of sports medicine · 2021Pooled it
- Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Co-Production Performance Evaluation in Healthcare. A Systematic Review of Methods, Tools and Metrics.International journal of environmental research and public health · 2021Pooled it
- Adult patient access to electronic health records.The Cochrane database of systematic reviews · 2021Pooled it
- Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- LEAP! Rx: A randomized trial of a pragmatic approach to lifestyle medicine.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Trial
- Impact of Personal Health Records and Wearables on Health Outcomes and Patient Response: Three-Arm Randomized Controlled Trial.JMIR mHealth and uHealth · 2019Trial
- AI-Driven Wearable Bioelectronics in Digital Healthcare.Biosensors · 2025Review
- Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review.JMIR mHealth and uHealth · 2025Article
- Enhancing patient engagement and understanding: is providing direct access to laboratory results through patient portals adequate?JAMIA open · 2025Article
- A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records.BioData mining · 2024Article
- Regulatory Standards and Guidance for the Use of Health Apps for Self-Management in Sub-Saharan Africa: Scoping Review.Journal of medical Internet research · 2024Article
- Use of the Smart Excretion Care System Linked to Electronic Medical Records to Alleviate Nursing Burden and Enhance Patient Convenience: Mixed Methods Study.JMIR formative research · 2023Article
- Tools to guide clinical discussions on physical activity, sedentary behaviour, and/or sleep for health promotion between primary care providers and adults accessing care: a scoping review.BMC primary care · 2023Article
- An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems.Frontiers in digital health · 2023Article
- Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study.International journal of medical informatics · 2022Observational
- Implementing Exercise = Medicine in routine clinical care; needs for an online tool and key decisions for implementation of Exercise = Medicine within two Dutch academic hospitals.BMC medical informatics and decision making · 2022Article
- Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study.Journal of medical Internet research · 2022Article
- Diabetes self-management in online health communities: an information exchange perspective.BMC medical informatics and decision making · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPersonal health record (PHR)-based health care management systems can improve patient engagement and data-driven medical diagnosis in a clinical setting.
objectiveThe purpose of this study was (1) to demonstrate the development of an electronic health record (EHR)-tethered PHR app named MyHealthKeeper, which can retrieve data from a wearable device and deliver these data to a hospital EHR system, and (2) to study the effectiveness of a PHR data-driven clinical intervention with clinical trial results.
methodsTo improve the conventional EHR-tethered PHR, we ascertained clinicians' unmet needs regarding PHR functionality and the data frequently used in the field through a cocreation workshop. We incorporated the requirements into the system design and architecture of the MyHealthKeeper PHR module. We constructed the app and validated the effectiveness of the PHR module by conducting a 4-week clinical trial. We used a commercially available activity tracker (Misfit) to collect individual physical activity data, and developed the MyHealthKeeper mobile phone app to record participants' patterns of daily food intake and activity logs. We randomly assigned 80 participants to either the PHR-based intervention group (n=51) or the control group (n=29). All of the study participants completed a paper-based survey, a laboratory test, a physical examination, and an opinion interview. During the 4-week study period, we collected health-related mobile data, and study participants visited the outpatient clinic twice and received PHR-based clinical diagnosis and recommendations.
resultsA total of 68 participants (44 in the intervention group and 24 in the control group) completed the study. The PHR intervention group showed significantly higher weight loss than the control group (mean 1.4 kg, 95% CI 0.9-1.9; P<.001) at the final week (week 4). In addition, triglyceride levels were significantly lower by the end of the study period (mean 2.59 mmol/L, 95% CI 17.6-75.8; P=.002).
conclusionsWe developed an innovative EHR-tethered PHR system that allowed clinicians and patients to share lifelog data. This study shows the effectiveness of a patient-managed and clinician-guided health tracker system and its potential to improve patient clinical profiles.
trial registrationClinicalTrials.gov NCT03200119; https://clinicaltrials.gov/ct2/show/NCT03200119 (Archived by WebCite at http://www.webcitation.org/6v01HaCdd).
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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.