SynthesisBMJ open2019
What are the important design features of personal health records to improve medication adherence for patients with long-term conditions? A systematic literature review.
Synthesis in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 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
15 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Engaging Patients with Heart Failure in Diet and Nutritional Health Behaviors Through mHealth Applications - A Restricted, Systematic Review.Current heart failure reports · 2026Pooled it
- What are the functionalities and features of mobile health record apps supporting persons experiencing social exclusion? A systematic literature review.Frontiers in digital health · 2025Pooled it
- Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Blockchain Personal Health Records: Systematic Review.Journal of medical Internet research · 2021Pooled it
- The State of Evidence in Patient Portals: Umbrella Review.Journal of medical Internet research · 2020Pooled it
- Contexts and Mechanisms Related to the Efficacy of Digital Medication Adherence Interventions to Support Medication Adherence Among Adults With Chronic Diseases: Realist Review.Interactive journal of medical research · 2026Review
- Using Health Information Systems to Support Behavioral Interventions in Local Contexts: Scoping Review.JMIR medical informatics · 2026Review
- Coronary artery patient's empowerment through a user-centered design of an electronic personal health record: A qualitative study.Journal of education and health promotion · 2026Article
- Provision of Digital Primary Health Care Services: Overview of Reviews.Journal of medical Internet research · 2024Review
- Exploring the Pathways of Diabetes Foot Complications Treatment and Investigating Experiences From Frontline Health Care Professionals: Protocol for a Mixed Methods Study.JMIR research protocols · 2024Article
- Improved Medication Adherence of an Elderly Diabetic Patient at a Dwelling Home Using a Pill Dispenser and Personal Health Records.Healthcare (Basel, Switzerland) · 2024Article
- Integrated personal health record (PHR) security: requirements and mechanisms.BMC medical informatics and decision making · 2023Review
- An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems.Frontiers in digital health · 2023Article
- Treatment Adherence in Integrative Medicine-Part Two: Practitioner Insights.Integrative medicine (Encinitas, Calif.) · 2021Review
- Mixed methods protocol for a realist evaluation of electronic personal health records design features and use to support medication adherence (ePHRma).BMJ health & care informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis systematic literature review aims to identify important design features of the electronic personal health record (PHR) that may improve medication adherence in the adult population with long-term conditions. DATA SOURCES: PubMed (including MEDLINE), CINAHL, Science Direct (including EMBASE), BioMed Central, ACM digital, Emerald Insight, Google Scholar and Research Gate.
methodsStudies that were published between 1 January 2002 and 31 May 2018 in English were included if the participants were adults, with at least one long-term condition, were able to self-administer their medication and were treated in primary care settings. The quality of evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system and the risk of bias was appraised using the Cochrane risk of bias tool.
resultsFrom a total of 27 studies that matched the inclusion criteria, 12 were excluded due to low quality of evidence, 10 were rated moderate and 5 were rated high quality. All the included studies had low sample size and limited follow-up duration. Thirteen of the included studies found that the use of a PHR has increased medication adherence. The identified design features are reminders, education, personalisation and tailoring, feedback and alerts, gamification, medication management, medical appointment management, diary and self-monitoring, health condition management, set goals, patient's blog and tethered. It was impossible to draw conclusions as to which feature is important to what group of patients and why. The most frequently identified conditions were HIV and diabetes. This review did not identify any papers with negative results. It was not possible to numerically aggregate the PHR effect due to high heterogeneity of the medication adherence measurement, study type, participants and PHRs used.
conclusionAlthough we found recurrent evidence that PHRs can improve medication adherence, there is little evidence to date to indicate which design features facilitate this process. PROSPERO REGISTRATION NUMBER: CRD42017060542.
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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.