Mobile Health Application for Proactive Self-management: A Case Study of Hypertensive Diabetic Patients in Thailand

Diabetes and hypertension are prevalent chronic diseases globally. This study was conducted in Thailand and aimed to investigate the impact of a mobile application tailored for promoting self-management of hypertensive diabetic patients. The proposed mobile application provides users with the ability to monitor personal and clinical data and receive personal health recommendations. The recommendations are given according to the health condition trends and personal engagement level of the patient. Health condition detection was used to identify the trends, which can be positive, negative, or neutral progression trends. Personalized recommendations are provided to each patient by investigating personal engagement levels using associate rules. The proposed mobile application was evaluated in terms of effectiveness and user satisfaction for both healthcare professionals and patients in Thailand. The proposed mobile application was considered to be effective at a “moderately high” level (78%) according to 10 healthcare professionals and received an average score of 4.18 out of 5 (“very satisfied”) from 33 patients.

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Publication Details

Journal
Journal of Mobile Multimedia
Published
2025-04-07
DOI
https://doi.org/10.13052/jmm1550-4646.2113
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Mobile Health Application for Proactive Self-management: A Case Study of Hypertensive Diabetic Patients in Thailand

Punnarumol Temdee, Sutussa Sanon
Journal of Mobile Multimedia
Mobile Health and mHealth Applications
article

Mobile Health Application for Proactive Self-management: A Case Study of Hypertensive Diabetic Patients in Thailand

Punnarumol Temdee, Sutussa Sanon
article en

Abstract

Diabetes and hypertension are prevalent chronic diseases globally. This study was conducted in Thailand and aimed to investigate the impact of a mobile application tailored for promoting self-management of hypertensive diabetic patients. The proposed mobile application provides users with the ability to monitor personal and clinical data and receive personal health recommendations. The recommendations are given according to the health condition trends and personal engagement level of the patient. Health condition detection was used to identify the trends, which can be positive, negative, or neutral progression trends. Personalized recommendations are provided to each patient by investigating personal engagement levels using associate rules. The proposed mobile application was evaluated in terms of effectiveness and user satisfaction for both healthcare professionals and patients in Thailand. The proposed mobile application was considered to be effective at a “moderately high” level (78%) according to 10 healthcare professionals and received an average score of 4.18 out of 5 (“very satisfied”) from 33 patients.

Journal of Mobile Multimedia
Mae Fah Luang University (TH)
Thailand Science Research and Innovation
Openalex Percentile: Top 89%
Mobile Health and mHealth Applications
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