Evidence map›Paper›PMID 34032583›Full record

SynthesisJournal of medical Internet research2021

Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.

Shahd Al-Arkee, Julie Mason, Deirdre A Lane, Larissa Fabritz, Winnie Chua, M Sayeed Haque, Zahraa Jalal

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 16 pooled it
40.3field-weighted citation impact, top 1% of its field
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

120 citing papers in PubMed, 16 syntheses or guidelines pooled it, 195 citations in OpenAlex.

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  13. Effect of telehealth interventions on adherence to endocrine therapy among patients with breast cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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60 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Shahd Al-Arkee *Institute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-6220-615X
Julie MasonInstitute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-6095-2239
Deirdre A LaneLiverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-5604-9378
Larissa FabritzInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-9241-1733
Winnie ChuaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-6747-8813
M Sayeed HaqueInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-2467-8575
Zahraa JalalInstitute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-6126-3379
University of Birmingham · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdherence rates of preventative medication for cardiovascular disease (CVD) have been reported as 57%, and approximately 9% of all CVD events in Europe are attributable to poor medication adherence. Mobile health technologies, particularly mobile apps, have the potential to improve medication adherence and clinical outcomes.

objectiveThe objective of this study is to assess the effects of mobile health care apps on medication adherence and health-related outcomes in patients with CVD. This study also evaluates apps' functionality and usability and the involvement of health care professionals in their use.

methodsElectronic databases (MEDLINE [Ovid], PubMed Central, Cochrane Library, CINAHL Plus, PsycINFO [Ovid], Embase [Ovid], and Google Scholar) were searched for randomized controlled trials (RCTs) to investigate app-based interventions aimed at improving medication adherence in patients with CVD. RCTs published in English from inception to January 2020 were reviewed. The Cochrane risk of bias tool was used to assess the included studies. Meta-analysis was performed for clinical outcomes and medication adherence, with meta-regression analysis used to evaluate the impact of app intervention duration on medication adherence.

resultsThis study included 16 RCTs published within the last 6 years. In total, 12 RCTs reported medication adherence as the primary outcome, which is the most commonly self-reported adherence. The duration of the interventions ranged from 1 to 12 months, and sample sizes ranged from 24 to 412. Medication adherence rates showed statistically significant improvements in 9 RCTs when compared with the control, and meta-analysis of the 6 RCTs reporting continuous data showed a significant overall effect in favor of the app intervention (mean difference 0.90, 95% CI 0.03-1.78) with a high statistical heterogeneity (I

conclusionsApps tended to increase medication adherence, but interventions varied widely in design, content, and delivery. Apps have an acceptable degree of usability; yet the app characteristics conferring usability and effectiveness are ill-defined. Future large-scale studies should focus on identifying the essential active components of successful apps.

trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42019121385; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=121385.

Indexed as

Cardiovascular DiseasesMobile ApplicationsTelemedicineBlood PressureHumansMedication Adherencecardiovascular diseasemedication adherencemobile health care applicationsmobile phonesystematic review

Identifiers

PMID34032583
PMCPMC8188316
OpenAlexW3162744572

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.