Park Ye-Eun, Tak Yae Won, Kim Inhye, Lee Hui Jeong, Lee Jung Bok, Lee Jong Won, Lee Yura
Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Graduate Program of Industrial Pharmaceutical Science, Yonsei University, Seoul, Republic of Korea.
J Med Internet Res. 2024 Dec 18;26:e55176. doi: 10.2196/55176.
The shift in medical care toward prediction and prevention has led to the emergence of digital health care as a valuable tool for managing health issues. Aiding long-term follow-up care for cancer survivors and contributing to improved survival rates. However, potential barriers to mobile health usage, including age-related disparities and challenges in user retention for commercial health apps, highlight the need to assess the impact of patients' abilities and health status on the adoption of these interventions.
This study aims to investigate the app adherence and user experience of commercial health care apps among cancer survivors using an extended technology acceptance model (TAM).
The study enrolled 264 cancer survivors. We collected survey results from May to August 2022 and app usage records from the app companies. The survey questions were created based on the TAM.
We categorized 264 participants into 3 clusters based on their app usage behavior: short use (n=77), medium use (n=101), and long use (n=86). The mean usage days were 9 (SD 11) days, 58 (SD 20) days, and 84 (SD 176) days, respectively. Analysis revealed significant differences in perceived usefulness (P=.01), interface satisfaction (P<.01), equity (P<.01), and utility (P=.01) among the clusters. Structural equation modeling indicated that perceived ease-of-use significantly influenced perceived usefulness (β=0.387, P<.01), and both perceived usefulness and attitude significantly affected behavioral intention and actual usage.
This study showed the importance of positive user experience and clinician recommendations in facilitating the effective usage of digital health care tools among cancer survivors and contributing to the evolving landscape of medical care.
医疗保健向预测和预防的转变促使数字医疗保健成为管理健康问题的重要工具。它有助于为癌症幸存者提供长期后续护理，并提高生存率。然而，移动健康应用使用中存在潜在障碍，包括与年龄相关的差异以及商业健康应用在用户留存方面的挑战，这凸显了评估患者能力和健康状况对采用这些干预措施的影响的必要性。
本研究旨在使用扩展技术接受模型（TAM）调查癌症幸存者对商业医疗保健应用的应用依从性和用户体验。
该研究招募了264名癌症幸存者。我们收集了2022年5月至8月的调查结果以及应用程序公司的应用使用记录。调查问题基于TAM创建。
我们根据264名参与者的应用使用行为将其分为3组：短期使用（n = 77）、中期使用（n = 101）和长期使用（n = 86）。平均使用天数分别为9（标准差11）天、58（标准差20）天和84（标准差176）天。分析显示，各组之间在感知有用性（P = 0.01）、界面满意度（P < 0.01）、公平性（P < 0.01）和实用性（P = 0.01）方面存在显著差异。结构方程模型表明，感知易用性显著影响感知有用性（β = 0.387，P < 0.01），感知有用性和态度均显著影响行为意向和实际使用。
本研究表明积极的用户体验和临床医生建议对于促进癌症幸存者有效使用数字医疗保健工具以及推动医疗保健格局的演变具有重要意义。
