Feasibility and effectiveness assessment of a mobile application for subhealth management: Study protocol for a randomized controlled trial

• Published in: Medicine (Baltimore) 2019-05, Vol.98 (21), p.e15704-e15704
• Main Authors: Shin, Seungwon, Oh, Hyunjoo, Kang, Minsu, Park, Minyoung, Koh, Byung-Hee, Hwang, Minwoo
• Format: Article
• Language: English
• Subjects: Adult; Biomarkers; Female; Health Behavior; Health Promotion - methods; Health Status; Healthy Lifestyle; Humans; Male; Middle Aged; Mobile Applications; Multicenter Studies as Topic; Prospective Studies; Quality of Life; Randomized Controlled Trials as Topic; Republic of Korea; Research Design; Self Care - methods; Study Protocol Clinical Trial
• ISSN: 0025-7974; 1536-5964
• DOI: 10.1097/MD.0000000000015704

Mibyeongbogam (MBBG) is a mobile application developed for subhealth status self-management in the Republic of Korea. It aims to assess a user's subhealth status, and then to recommend relevant traditional Korean medicine (TKM)-based health-promoting strategies. The purpose of this study is to evaluate the feasibility and effectiveness of MBBG's employment for the subhealth management of general healthy adults. This is a prospective, open-label, parallel group, randomized controlled trial that will seek to enroll 150 healthy adults, aged 30 to 49 years old, from 2 hospitals in the Republic of Korea. The eligible participants will then be randomly allocated to either the MBBG or control group, at a 1:1 allocation ratio. The MBBG group will use the application for 12 weeks, while the control group will undergo no intervention. The awareness of subhealth status will be primarily assessed. Health promoting behaviors, quality of life, TKM-based health questionnaires, and physical examination results will be assessed as secondary outcomes. The primary endpoint will be tested with a 2-sample t test, or a Wilcoxon rank sum test. Any other continuous variables will be tested via an analysis of covariance, while categorical variables will be tested by a Chi-squared or Fisher exact test. Repeated measure analysis of variance will be performed to explore any in-group differences. The results will be addressed with a 95% confidence interval. We expect that MBBG will be the 1st TKM-based mobile application to be feasible for primary care in subhealth management. CRIS (Clinical Research Information Service), KCT0003488, February 11, 2019.