Evidence mapPaperPMID 41767018Full record

ArticleInternational journal of telemedicine and applications2026

Use of Mobile Application for Improving Drug Compliance and Clinical Outcomes: A Randomized Controlled Trial.

Pramod Kumar Mehta, Abhijith R Rao, Niti Upadhyay, Saad Mustafa, Vasu Digra, Arundhati Sekhar Wariar, Nidhi Soni, Prasun Chatterjee, Avinash Chakrawarty

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Article in International journal of telemedicine and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Pramod Kumar MehtaDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0000-0001-5966-9815
Abhijith R RaoDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0000-0002-3904-4372
Niti UpadhyayDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.
Saad MustafaDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0000-0002-3082-1892
Vasu DigraDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0009-0001-8410-4952
Arundhati Sekhar WariarDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0009-0000-9396-9088
Nidhi SoniDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.
Prasun ChatterjeeDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.
Avinash ChakrawartyDepartment of Geriatric Medicine, All India Institute of Medical Sciences, Delhi, New Delhi, India, aiims.edu.ORCID https://orcid.org/0000-0001-7651-898X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Older adults are prone to multimorbidity and polypharmacy, which often lead to adverse outcomes such as increased hospital admissions and treatment nonadherence. Smartphone and internet use among older adults in India is rising, but its potential for addressing healthcare needs like multimorbidity management and drug adherence remains underexplored. The "Know Your Meds (KYM)" Creda Health mobile application (app) on the Google Play Store serves as a digital health assistant, offering features such as medication information, drug interaction insights, and pill reminders to improve health outcomes. This randomized controlled trial is aimed at assessing the effectiveness of the AI-based mobile app KYM in improving clinical outcomes, medication adherence, and patient satisfaction among older Indian adults. Methodology: In this randomized controlled trial, 360 participants with multimorbidity (aged > 60 years) were randomly allocated into intervention ( Results: Although clinical outcomes like change in blood pressure, HbA1c, and lipid levels did not show a significant difference between the two groups, there was a significant difference in medication adherence at 12-week follow-up. However, no significant change was observed in patient satisfaction. Conclusion: The study highlights the potential of mobile health apps in promoting adherence, though further research is required to evaluate their impact on clinical outcomes with more tailored interventions.

Indexed as

interventionKYMmedication adherencemHealthmultimorbiditypatient satisfaction

Identifiers

PMID41767018
PMCPMC12949084

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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.