Evidence map›Paper›PMID 31558449›Full record

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.

Elisavet Andrikopoulou, Philip Scott, Helena Herrera, Alice Good

Abstract readSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Blockchain Personal Health Records: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
  5. The State of Evidence in Patient Portals: Umbrella Review.Journal of medical Internet research · 2020
    Pooled it
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elisavet AndrikopoulouSchool of Computing, Faculty of Technology, University of Portsmouth, Portsmouth, UK elisavet.andrikopoulou@port.ac.uk.ORCID 0000-0002-4614-2907
Philip ScottSchool of Computing, Faculty of Technology, University of Portsmouth, Portsmouth, UK.
Helena HerreraSchool of Pharmacy and Biomedical Sciences, Faculty of Science, University of Portsmouth, Portsmouth, UK.
Alice GoodSchool of Computing, Faculty of Technology, University of Portsmouth, Portsmouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Records, PersonalMedication AdherenceAdultChronic DiseaseHumansRandomized Controlled Trials as Topiclong-term conditionsmedical informaticsmedication adherencepersonal health recordPHRsystematic literature review

Identifiers

PMID31558449
PMCPMC6773318

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.