Evidence map›Paper›PMID 42261560›Full record

ArticleHealth science reports2026

Co-Designing a Digital Health Application for Assisting Self-Care Diabetes Patients: A Qualitative Study.

Hema Malini, Misita Anwar, Fitri Mailani, Sovia Susianty, Rozi Sastra Purna

Abstract read
In one paragraph

Article in Health science reports, 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

5 authors.

Hema MaliniFaculty of Nursing Universitas Andalas Padang Indonesia.ORCID https://orcid.org/0000-0002-3224-5657
Misita AnwarSchool of Business, Law and Entrepreneurship Swinburne University of Technology Melbourne Australia.
Fitri MailaniFaculty of Nursing Universitas Andalas Padang Indonesia.ORCID https://orcid.org/0000-0002-8787-7002
Sovia SusiantyFaculty of Nursing Universitas Andalas Padang Indonesia.
Rozi Sastra PurnaFaculty of Medicine, School of Psychology Universitas Andalas Padang Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Managing diabetes involves complex self-care activities, requiring continuous support. Although digital health applications have shown promise, many fail to meet patients' sustained needs. This study aims to understand the needs and preferences of patients for co-designing a digital health application focused on diabetes self-care. Methods: A qualitative study was conducted using focus group discussions within two workshops, each lasting between 60 and 90 min, involving 27 participants diagnosed with Type 2 Diabetes Mellitus (T2DM). Limiting participants to those with relatively stable disease management may have resulted in underrepresentation of individuals facing acute complications or unstable glycemic control; this was considered when interpreting the findings. Reflexive thematic analysis was applied to identify key themes. Results: Three main themes emerged: (1) current knowledge and practices in diabetes management, (2) challenges faced in self-care, and (3) expectations for a digital health application. Participants highlighted the need for user-friendly, interactive features addressing diet, physical activity, and emotional support. Conclusion: The co-design process underscored the importance of involving end-users to ensure the application meets their specific needs, fostering sustainable self-care.

Indexed as

community healthdigital healthhealth educationquality of lifeself‐care

Identifiers

PMID42261560
PMCPMC13242691

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.