Evidence map›Paper›PMID 29549075›Full record

ReviewJMIR mHealth and uHealth2018

Medication Adherence Apps: Review and Content Analysis.

Imran Ahmed, Niall Safir Ahmad, Shahnaz Ali, Shair Ali, Anju George, Hiba Saleem Danish, Encarl Uppal, James Soo, Mohammad H Mobasheri, Dominic King and 2 more

Registry-linked trialAbstract readReview
In one paragraph

Review in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06034301 (Feasibility of Interventions Impacting Medication Adherence), which is not on this map. Cited by 108 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 7 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.

NCT06034301 nacompletednot on this mapstarted 2023, after this paper: background citation

Feasibility of Interventions Impacting Medication Adherence

TypeinterventionalSponsorWashington University School of MedicineRan2023 to 2024Enrolled41ConditionsHypertension, Medication AdherenceArmsMedication Reminder App
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  20. User-centered adaption ofAIDS care · 2025
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48 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

12 authors.

Imran Ahmed *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8443-4081
Niall Safir Ahmad *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-6105-8992
Shahnaz Ali *Brighton and Sussex Medical School, Brighton, United Kingdom.ORCID http://orcid.org/0000-0001-9081-2042
Shair Ali *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-3637-0594
Anju George *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-6117-8767
Hiba Saleem Danish *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-0979-8541
Encarl Uppal *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-8498-3408
James Soo *Undergraduate Department of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-4613-0110
Mohammad H MobasheriDivision of Surgery, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-0928-2572
Dominic KingInstitute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-1898-842X
Benita CoxImperial College London, South Kensington Campus, London, United Kingdom.ORCID http://orcid.org/0000-0001-7581-6651
Ara DarziInstitute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-7815-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication adherence is an expensive and damaging problem for patients and health care providers. Patients adhere to only 50% of drugs prescribed for chronic diseases in developed nations. Digital health has paved the way for innovative smartphone solutions to tackle this challenge. However, despite numerous apps available claiming to improve adherence, a thorough review of adherence apps has not been carried out to date.

objectiveThe aims of this study were to (1) review medication adherence apps available in app repositories in terms of their evidence base, medical professional involvement in development, and strategies used to facilitate behavior change and improve adherence and (2) provide a system of classification for these apps.

methodsIn April 2015, relevant medication adherence apps were identified by searching the Apple App Store and the Google Play Store using a combination of relevant search terms. Data extracted included app store source, app price, documentation of health care professional (HCP) involvement during app development, and evidence base for each respective app. Free apps were downloaded to explore the strategies used to promote medication adherence. Testing involved a standardized medication regimen of three reminders over a 4-hour period. Nonadherence features designed to enhance user experience were also documented.

resultsThe app repository search identified a total of 5881 apps. Of these, 805 fulfilled the inclusion criteria initially and were tested. Furthermore, 681 apps were further analyzed for data extraction. Of these, 420 apps were free for testing, 58 were inaccessible and 203 required payment. Of the 420 free apps, 57 apps were developed with HCP involvement and an evidence base was identified in only 4 apps. Of the paid apps, 9 apps had HCP involvement, 1 app had a documented evidence base, and 1 app had both. In addition, 18 inaccessible apps were produced with HCP involvement, whereas 2 apps had a documented evidence base. The 420 free apps were further analyzed to identify strategies used to improve medication adherence. This identified three broad categories of adherence strategies, reminder, behavioral, and educational. A total of 250 apps utilized a single method, 149 apps used two methods, and only 22 apps utilized all three methods.

conclusionsTo our knowledge, this is the first study to systematically review all available medication adherence apps on the two largest app repositories. The results demonstrate a concerning lack of HCP involvement in app development and evidence base of effectiveness. More collaboration is required between relevant stakeholders to ensure development of high quality and relevant adherence apps with well-powered and robust clinical trials investigating the effectiveness of these interventions. A sound evidence base will encourage the adoption of effective adherence apps, and thus improve patient welfare in the process.

Indexed as

medication adherencemobile appspatient compliancereminder systemssmartphonetelemedicinetreatment outcome

Identifiers

PMID29549075
PMCPMC5878368

What OpenQuestion holds

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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.