Evaluating the effectiveness and feasibility of a digital health intervention to community-based rehabilitation in older adults: A cluster randomized controlled trial study protocol.
Digit Health
; 10: 20552076241252648, 2024.
Article
en En
| MEDLINE
| ID: mdl-38726216
ABSTRACT
Objective:
The escalating global aging population underscores the need to effectively manage geriatric diseases, constituting a significant public health concern. Community-based rehabilitation has emerged as a crucial and accessible paradigm for the rehabilitation of older adults. In China, however, the practical implementation of community-based rehabilitation faces formidable challenges, including a dearth of specialized rehabilitation therapists, substantial disparities between demand and supply, and suboptimal satisfaction rates. We aimed to develop a community-based rehabilitation management platform for older adults centered around digital health technology, with the plan to conduct a cluster randomized controlled trial to gather more evidence to explore the best practices and service models of community-based rehabilitation based on digital health technology.Methods:
This cluster randomized controlled trial will be conducted in Zunyi City, China. We will recruit 286 adults aged ≥60 years and randomly allocate 20 subdistricts in a 11 ratio into either the intervention group, which will use the Rehabilitation Journey application, or the control group, which will be given a Rehabilitation Information Booklet for Older Adults. Both groups will undergo a 12-month rehabilitation management program, encompassing six months of guidance and an additional six months of follow-up through online and offline methods. The evaluation indicators will be assessed at enrollment and at 3rd, 6th, and 12thâ month.Discussion:
This study endeavors to furnish novel insights to develop a tailored community-based rehabilitation management program for older adults, delivering customized, intelligent, and precise rehabilitation services.
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Base de datos:
MEDLINE
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En
Revista:
Digit Health
Año:
2024
Tipo del documento:
Article
País de afiliación:
China