Evidence map›Paper›PMID 40855740›Full record

ArticleJournal of diabetes science and technology2025

Smartphone Application-Based Rehabilitation Program for Older Adults With Type 2 Diabetes Mellitus: Insights From the Design, Development, and Validation.

Tina Agnes, G Arun Maiya, Muralidhar M Kulakarni, Sawan Ramesh Hegde, Kirthinath Ballal, Mamatha Balachandra

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2025. 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
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1 · What the graph read from it

What it found

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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

6 authors.

Tina AgnesCentre for Podiatry & Diabetic Foot Care and Research, Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-6152-4188
G Arun MaiyaCentre for Podiatry & Diabetic Foot Care and Research, Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-3811-1350
Muralidhar M KulakarniDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Sawan Ramesh HegdeManipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, India.
Kirthinath BallalDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Mamatha BalachandraSchool of Computer Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults facing chronic health challenges may experience significant advantages from smartphone technologies. This study aimed to design, develop, and validate a smartphone application to deliver rehabilitation programs to older adults with type 2 diabetes mellitus.

methodsThis study consisted of three phases: (1) Assessment of need, (2) Design and development of the smartphone application, and (3) Evaluation of the smartphone application by content validation. The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) validated the smartphone application. This validation was performed through direct interaction between the validators and the system, relevant observations were identified, and suggestions were noted during and after the test.

resultsThe smartphone application consisted of six modules, with content delivered through photos, videos, text, and flyers. Eight experts and twenty-five older adults over 60 years and diagnosed with type 2 diabetes mellitus completed the validation. The smartphone application received a good median understandability score of over 90 from experts and over 80 by end users, and a median actionability score of 100 by experts and over 100 by end users on the PEMAT-A/V.

conclusionThis newly developed smartphone application has been validated and is now ready for evaluation to assess its effectiveness in improving the delivery of rehabilitation programs in older adults with type 2 diabetes mellitus.

Indexed as

agedsmartphone applicationtype 2 diabetes mellitusunderstandabilityusabilityvalidation

Identifiers

PMID40855740
PMCPMC12380731

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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 OpenQuestion graph.