Aged smart-care application program for promoting quality of life among older adults in the community: Study protocol of a three-arm randomized controlled trial.

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2025-03-18 eCollection Date: 2025-01-01 DOI:10.1177/20552076251326218
Yue Xu, Qiyuan Huang, Shuang Teng, Yulong Wang, Huabei Sun, Mei Li, Junxin Li, Muwei Zhu, Xianping Tang
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引用次数: 0

Abstract

Objectives: To describe a study protocol for a three-arm randomized controlled trial that will evaluate the effectiveness of an Aged Smart-Care (ASC) application program intervention for community-dwelling older adults in China.

Methods: This randomized controlled trial with three arms will be conducted at eight community health service centers. Participants will be randomly assigned to one of three groups: the interactive ASC (ASC + I) group, the regular ASC group, or the control group. The ASC + I group will receive management from a multidisciplinary medical team, while the regular ASC group will only utilize the ASC. The primary outcome will be assessed using the Medical Outcomes Study Short Form 36 (SF-36) Health Survey. The secondary outcomes include general self-efficacy, medication adherence, effectiveness of health behavior interventions, BMI, number of outpatient visits, and number of hospitalizations. Data will be collected at baseline, immediately post-intervention, 3 months, 6 months, and 1 year after the intervention. Generalized estimating equations model will be employed for data analysis.

Conclusions: This study clarifies the development process of the ASC and designs a three-arm randomized controlled trial to examine the efficacy of the ASC for older adults in the community. The results of the study will compare differences in the quality of life of participants in different groups. This will help community healthcare workers to choose appropriate interventions regarding the ASC. Furthermore, this provides scientific guidance for the Integrated Theory of Health Behavior Change theory in the field of mobile health tool development.

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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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