Mobile Application for Digital Health Coaching in the Self-Management of Older Adults with Multiple Chronic Conditions: A Development and Usability Study
3
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objectives: This study was conducted to develop a mobile application for digital health coaching to support self-managementin older adults with multiple chronic conditions. Additionally, the usability of this application was evaluated. Methods:The HAHA2022 mobile application was developed through a multidisciplinary team approach, incorporating digital healthcoaching strategies targeting community-dwelling older adults with multiple chronic conditions. Usability was assessed withthe Korean version of the Mobile Application Rating Scale. The usability tests involved eight expert panel members and 10older adults (mean age, 74 ± 3 years; 90% women) from one senior welfare center. Results: HAHA2022 is an Android-basedmobile application that is also integrated into wearable devices to track physical activity. It features an age-friendly designand includes five main menus: Home, Action Plan, Education, Health Log, and Community. The average overall usability testscores—covering engagement, functionality, aesthetics, and information—were 4.27 of 5 for the expert panel and 4.53 of 5 forthe older adults. Conclusions: The HAHA2022 application was developed to improve self-management among communitydwellingolder adults with multiple chronic conditions. Usability tests indicate that the application is highly acceptable andfeasible for use by this population. Consequently, HAHA2022 is anticipated to be widely implemented. Nonetheless, furtherresearch is required to confirm its effectiveness through digital health intervention.
Abstract
Objectives: This study was conducted to develop a mobile application for digital health coaching to support self-managementin older adults with multiple chronic conditions. Additionally, the usability of this application was evaluated. Methods:The HAHA2022 mobile application was developed through a multidisciplinary team approach, incorporating digital healthcoaching strategies targeting community-dwelling older adults with multiple chronic conditions. Usability was assessed withthe Korean version of the Mobile Application Rating Scale. The usability tests involved eight expert panel members and 10older adults (mean age, 74 ± 3 years; 90% women) from one senior welfare center. Results: HAHA2022 is an Android-basedmobile application that is also integrated into wearable devices to track physical activity. It features an age-friendly designand includes five main menus: Home, Action Plan, Education, Health Log, and Community. The average overall usability testscores—covering engagement, functionality, aesthetics, and information—were 4.27 of 5 for the expert panel and 4.53 of 5 forthe older adults. Conclusions: The HAHA2022 application was developed to improve self-management among communitydwellingolder adults with multiple chronic conditions. Usability tests indicate that the application is highly acceptable andfeasible for use by this population. Consequently, HAHA2022 is anticipated to be widely implemented. Nonetheless, furtherresearch is required to confirm its effectiveness through digital health intervention.
참고문헌 (28)
- "Korean Statistical Information Service" (2024)[URL]
- Gulliford MC, "Is multimorbidity a useful concept for public health?", Lancet Public Health, 9(4), pp.e210~e211 (2024)[DOI]
- "What is digital health?" (2024)[URL]
- Yi JY, "Self-management of chronic conditions using mHealth interventions in Korea : a systematic review", Healthc Inform Res, 24(3), pp.187~197 (2018)[DOI]
- Wang Q, "Usability evaluation of mHealth apps for elderly individuals : a scoping review", BMC Med Inform Decis Mak, 22(1), pp.317~ (2022)[DOI]
- Gomez-Hernandez M, "Design guidelines of mobile apps for older adults : systematic review and thematic analysis", JMIR Mhealth Uhealth, 11, pp.e43186~ (2023)[DOI]
- Liu N, "Mobile health applications for older adults : a systematic review of interface and persuasive feature design", J Am Med Inform Assoc, 28(11), pp.2483~2501 (2021)[DOI]
- Obro LF, "Combining mHealth and health-coaching for improving self-management in chronic care : a scoping review", Patient Educ Couns, 104(4), pp.680~688 (2021)[DOI]
- Ju H, "The effectiveness of a mobile health care app and human coaching program in primary care clinics : pilot multicenter real-world study", JMIR Mhealth Uhealth, 10(5), pp.e34531~ (2022)[DOI]
- Park G, "The development of Automated Personalized Self-Care (APSC) Program for patients with type 2 diabetes mellitus", J Korean Acad Nurs, 52(5), pp.535~549 (2022)[DOI]
- Park YH, "Effect of a health coaching selfmanagement program for older adults with multimorbidity in nursing homes", Patient Prefer Adherence, 8, pp.959~970 (2014)[DOI]
- Yi YM, "Development of a community-based integrated service model of health and social care for older adults living alone", Int J Environ Res Public Health, 18(2), pp.825~ (2021)[DOI]
- Hwang M, "A descriptive study of digital health literacy and internet use of older adults living alone", Gerontechnology, 21(s), pp.1~1 (2022)[DOI]
- Kim G, "Barriers and facilitators of self-management using digital technology in older adults living alone", Gerontechnology, 21(s), pp.1~1 (2022)[DOI]
- Lorig K, "Living a healthy life with chronic conditions" (2020), Bull Publishing Company
- "2012-2023 Survey on smartphone usage & brand, smartwatch, wireless earphone" (2023)[URL]
- Kinzie MB, "A usercentered model for web site design : needs assessment, user interface design, and rapid prototyping", J Am Med Inform Assoc, 9(4), pp.320~330 (2002)[DOI]
- Wildenbos GA, "Aging barriers influencing mobile health usability for older adults : a literature based framework(MOLD-US)", Int J Med Inform, 114, pp.66~75 (2018)[DOI]
- "Quantitative studies: how many users to test?" (2006)[URL]
- Ko KK, "Validation of a Korean version of Mobile App Rating Scale(MARS)for apps targeting disease management", Health Informatics J, 28(0), pp.14604582221091975~ (2022)[DOI]
- Stoyanov SR, "Mobile app rating scale : a new tool for assessing the quality of health mobile apps", JMIR Mhealth Uhealth, 3(1), pp.e27~ (2015)[DOI]
- Lee JY, "Development and evaluation of hyperlipidemia management mobile application based on transtheoretical model", pp.2017
- Stoyanov SR, "Development and validation of the user version of the Mobile Application Rating Scale(uMARS)", JMIR Mhealth Uhealth, 4(2), pp.e72~ (2016)[DOI]
- Lorig K, "The components of action planning and their associations with behavior and health outcomes", Chronic Illn, 10(1), pp.50~59 (2014)[DOI]
- Park JH, "Qualitative evaluation of lifestyle management apps using the Korean Mobile Application Rating Scale(MARS)", J Rehabil Welf Eng Assist Technol, 14(2), pp.134~141 (2020)[DOI]
- Park KH, "User evaluation and heuristics evaluation of the Mobile-Yonsei Lifestyle Profile(MYLP)application for improving health of community-dwelling elderly", J Korea Acad-Ind Coop Soc, 22(11), pp.163~171 (2021)[DOI]
- Tsai YI, "Digital interventions for healthy ageing and cognitive health in older adults : a systematic review of mixed method studies and meta-analysis", BMC Geriatr, 24(1), pp.217~ (2024)[DOI]
- Lee C, "Perspective : older adults’ adoption of technology : an integrated approach to identifying determinants and barriers", J Prod Innov Manag, 32(5), pp.747~759 (2015)[DOI]