Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review.
10.4258/hir.2018.24.3.187
- Author:
Jae Yoon YI
1
;
Yujin KIM
;
Yoon Min CHO
;
Hongsoo KIM
Author Information
1. Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea. hk65@snu.ac.kr
- Publication Type:Randomized Controlled Trial ; Original Article
- Keywords:
Mobile Applications;
Medical Informatics;
Chronic Disease;
Self Care;
Review
- MeSH:
Aging;
Asthma;
Biomarkers;
Chronic Disease;
Humans;
Hypertension;
Korea*;
Medical Informatics;
Mobile Applications;
Outcome Assessment (Health Care);
Self Care*;
Smartphone;
Stroke;
Telemedicine*
- From:Healthcare Informatics Research
2018;24(3):187-197
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVES: Population aging has increased the burden of chronic diseases globally. mHealth is often cited as a viable solution to enhance the management of chronic conditions. In this study, we conducted a systematic review of mHealth interventions for the self-management of chronic diseases in Korea, a highly-connected country with a high chronic care burden. METHODS: Five databases were searched for relevant empirical studies that employed randomized controlled trial (RCT) or quasi-experimental methods published in English or Korean from the years 2008 to 2018. The selected studies were reviewed according to the PRISMA guidelines. The selected studies were classified using the Individual and Family Self-Management Theory conceptual framework. RESULTS: Sixteen studies met the inclusion criteria, 9 of which were targeted towards diabetes management, and 7 of which were RCTs. Other target diseases included hypertension, stroke, asthma, and others. mHealth interventions were primarily delivered through smartphone applications, mobile phones connected to a monitoring device, and short message services (SMS). Various self-management processes were applied, including providing social influence and support, and facilitating self-monitoring and goal setting. Eleven studies showed mHealth interventions to be effective in improving self-management behaviors, biomarkers, or patient-reported outcome measures associated with chronic diseases. CONCLUSIONS: While the number of identified studies was not large, none reported negative impacts of mHealth on selected outcomes. Future studies on mHealth should design interventions with a greater variety of targeted functions and should adopt more rigorous methodologies to strengthen the evidence for its effectiveness in chronic disease management.
