Evidence mapPaperPMID 42469587Full record

SynthesisAustralasian journal on ageing2026

Digital Health Interventions to Improve Medication Adherence Among Older Adults: A Systematic Review.

Kaleab Taye Haile, Wejdan Shahin, Eyob Alemayehu Gebreyohannes, Abdella Birhan Yabeyu, Amina Hareem, Mulugeta Hayelom Kalayou, Xun Yi, Kate Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Australasian journal on ageing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kaleab Taye HailePharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.ORCID https://orcid.org/0000-0002-6655-1521
Wejdan ShahinPharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.ORCID https://orcid.org/0000-0002-1859-7699
Eyob Alemayehu GebreyohannesQuality Use of Medicines and Pharmacy Research Centre, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-0075-4553
Abdella Birhan YabeyuUniversity of Technology Sydney School of Public Health, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8334-4305
Amina HareemPharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.ORCID https://orcid.org/0000-0002-8292-3233
Mulugeta Hayelom KalayouQuality Use of Medicines and Pharmacy Research Centre, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-6080-7223
Xun YiRMIT University School of Computing Technologies, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7351-5724
Kate WangPharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.ORCID https://orcid.org/0000-0001-5208-1090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo review evidence on the type, characteristics and effect of digital health interventions (DHIs) on medication adherence among older people.

methodsArticles were searched from inception to May 2025 in PubMed, Embase, CINAHL, Scopus and Web of Science. Randomised and non-randomised studies were included if they: involved older people aged 65 years or older; applied any DHI(s); compared the intervention with a comparator group or baseline; and reported medication adherence as an outcome. Risk of bias was assessed using the Cochrane risk of bias tools, and certainty of evidence using GRADE (Grading of Recommendations, Assessment, Development and Evaluation). A narrative synthesis was conducted.

resultsA total of 35 articles were included, most of which were randomised controlled trials (n = 22). Risk of bias ranged from low to high, and certainty from very low to moderate. Nearly half of the studies (n = 17) reported DHIs improved medication adherence compared with control or baseline. Mobile apps (3/5), electronic reminders (3/3), social assistive robots (1/1), telenursing (1/1) and combined DHIs (2/2) showed the most promise. Interventions that used multiple functionalities or strategies to support behaviour change (reminders or prompts) were most likely to improve adherence. The other DHIs had mixed results or no significant effects.

conclusionsWhile findings across DHIs varied, interventions incorporating tailored reminders, multicomponent features and interactivity may have the potential to be more effective in improving medication adherence among older adults. Further research is needed to identify usage patterns and investigate the factors underlying differences in effectiveness.

Indexed as

Medication AdherenceAdherence InterventionsAgedAged, 80 and overAge FactorsDigital HealthDigital MediaFemaleHumansMaleReminder Systemsaged 65 and olderdigital healthdigital health technologymedication adherence

Identifiers

PMID42469587
PMCPMC13379504

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.