Evidence map›Paper›PMID 41030904›Full record

ArticleJournal of multidisciplinary healthcare2025

Community-Driven Development of the Chalerm App: A Mobile Health Application for Chronic Disease Management and Elderly Care in Southern Thailand.

Akkachai Lekapol, Buppha Raksanam, Wittaya Sornkaew, Phiman Thirarattanasunthon, Worayuth Nak-Ai, Abdulloh Bunmalert, Rattana Kraikaew, Benjawan Chuaykaew, Lafi Munira, Anwar Mallongi

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Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Akkachai LekapolChang Klang District Public Health Office, Chang Klang, Nakhon Si Thammarat, Thailand.
Buppha RaksanamSirindhorn College of Public Health, Trang, Faculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Kantang, Trang, Thailand.
Wittaya SornkaewChang Klang District Public Health Office, Chang Klang, Nakhon Si Thammarat, Thailand.
Phiman ThirarattanasunthonExcellent Center for Public Health Research, School of Public Health, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.ORCID 0000-0002-9813-4431
Worayuth Nak-AiSirindhorn College of Public Health, Chonburi, Faculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Mueang, Chonburi, Thailand.
Abdulloh BunmalertChang Klang District Public Health Office, Chang Klang, Nakhon Si Thammarat, Thailand.
Rattana KraikaewChang Klang District Public Health Office, Chang Klang, Nakhon Si Thammarat, Thailand.
Benjawan ChuaykaewBoromarajonani College of Nursing, Trang, Faculty of Nursing, Praboromarajchanok Institute, Mueang, Trang, Thailand.
Lafi MuniraExcellent Center for Public Health Research, School of Public Health, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.
Anwar MallongiDepartment of Environmental Health, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) applications have the potential to improve chronic disease management and healthcare support for older adults. However, their development and contextual adaptation in rural communities remain limited. This study aimed to develop and evaluate the Chalerm App, a mobile health application designed to strengthen chronic disease management, service accessibility, and caregiver support among older adults in Southern Thailand. Methods: A participatory action research (PAR) design was conducted at a Health Promoting Hospital in Nakhon Si Thammarat Province, Southern Thailand, from March to August 2024. The Chalerm App was developed on Android- and iOS-based platforms through collaboration with software developers, health professionals, and community stakeholders. The study comprised three phases. In Phase 1 (Situation analysis), 223 participants-including 30 elderly individuals, 10 health staff, 7 community leaders, and 176 community members-were recruited using stratified random sampling and participated in interviews and focus groups to identify care gaps. In Phase 2 (Mobile Health Application Development), 30 participants-including 10 health staff, 7 community leaders, and 13 elderly individuals with their caregivers-engaged in co-designing the app. In Phase 3 (Usability and Effectiveness Assessment), 30 elderly individuals and caregivers, recruited via simple random sampling, evaluated the app using a validated researcher-developed tool. Results: In Phase 1, the main challenges identified included the high prevalence of chronic diseases (hypertension, diabetes, and degenerative joint disease), psychological issues such as loneliness and depression, limited access to healthcare due to geographical and workforce constraints, and low levels of digital literacy. In Phase 2, the Chalerm App was developed with four key functions: (1) Remote Appointment Scheduling, (2) Demographic Information Display, (3) Home Navigation Support, and (4) Health Knowledge Repository. In Phase 3, the evaluation demonstrated that the app significantly exceeded the quality benchmark (p < 0.001), showing notable improvements in elderly healthcare performance, perceptions of the innovation, and the overall quality of care services (p < 0.001). Conclusion: The Chalerm App improved chronic disease management, service accessibility, and caregiver support for older adults in a rural Thai community. Findings suggest that community-driven mHealth solutions can reduce healthcare inequities in resource-limited settings with potential applicability to similar contexts.

Indexed as

caregiver supportchronic disease managementelderly healthcarehealth innovationmobile application

Identifiers

PMID41030904
PMCPMC12477281

What OpenQuestion holds

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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.