SynthesisBMC medical informatics and decision making2015
Conditions potentially sensitive to a personal health record (PHR) intervention, a systematic review.
Synthesis in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Blockchain Personal Health Records: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Functions and Outcomes of Personal Health Records for Patients with Chronic Diseases: A Systematic Review.Perspectives in health information managemen · 2021Pooled it
- Pooled it
- The Use of Cancer-Specific Patient-Centered Technologies Among Underserved Populations in the United States: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Methods to Evaluate the Effects of Internet-Based Digital Health Interventions for Citizens: Systematic Review of Reviews.Journal of medical Internet research · 2018Pooled it
- Personal Health Records: A Systematic Literature Review.Journal of medical Internet research · 2017Pooled it
- Effects of a Personal Health Record in Maternity Care: A Stepped-Wedge Trial.International journal of environmental research and public health · 2021Trial
- Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial.Journal of diabetes research · 2020Trial
- Uptake and Effects of the e-Vita Personal Health Record with Self-Management Support and Coaching, for Type 2 Diabetes Patients Treated in Primary Care.Journal of diabetes research · 2016Trial
- "Why Didn't it Work?" Lessons From a Randomized Controlled Trial of a Web-based Personally Controlled Health Management System for Adults with Asthma.Journal of medical Internet research · 2015Trial
- Navigation Between Alzheimer's Disease (AD) and Its Various Pathophysiological Trajectories: The Pathogenic Link to Neuroimmunology-Genetics and Neuroinflammation.International journal of molecular sciences · 2025Review
- Patient Health Record Smart Network Challenges and Trends for a Smarter World.Sensors (Basel, Switzerland) · 2025Review
- Personal Health Record Software for Neuroendocrine Tumors: Patient-Centered Design Approach.JMIR human factors · 2025Article
- Toward Personalized Care and Patient Empowerment and Perspectives on a Personal Health Record in Hemophilia Care: Qualitative Interview Study.JMIR human factors · 2024Article
- Personal Health Record implementation in rural primary care: A descriptive exploratory study using RE-AIM framework.PLOS digital health · 2024Article
- The feasibility and usability of a personal health record for patients with multiple sclerosis: a 2-year evaluation study.Frontiers in human neuroscience · 2024Article
- Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records.Healthcare informatics research · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPersonal Health Records (PHRs) are electronic health records controlled, shared or maintained by patients to support patient centered care. The potential for PHRs to transform health care is significant; however, PHRs do not always achieve their potential. One reason for this may be that not all health conditions are sensitive to the PHR as an intervention. The goal of this review was to discover which conditions were potentially sensitive to the PHR as an intervention, that is, what conditions have empirical evidence of benefit from PHR-enabled management.
methodsA systematic review of Medline and CINAHL was completed to find articles assessing PHR use and benefit from 2008 to 2014 in specific health conditions. Two researchers independently screened and coded articles. Health conditions with evidence of benefit from PHR use were identified from the included studies.
results23 papers were included. Seven papers were RCTs. Ten health conditions were identified, seven of which had documented benefit associated with PHR use: asthma, diabetes, fertility, glaucoma, HIV, hyperlipidemia, and hypertension. Reported benefits were seen in terms of care quality, access, and productivity, although many benefits were measured by self-report through quasi-experimental studies. No study examined morbidity/mortality. No study reported harm from the PHR.
conclusionThere is a small body of condition specific evidence that has been published. Conditions with evidence of benefit when using PHRs tended to be chronic conditions with a feedback loop between monitoring in the PHR and direct behaviours that could be self-managed. These findings can point to other potentially PHR sensitive health conditions and guide PHR designers, implementers, and researchers. More research is needed to link PHR design, features, adoption and health outcomes to better understand how and if PHRs are making a difference to health outcomes.
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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.