Smart Care for Older Persons Recovering From Hip-fracture Surgery
The proposed study aims to examine the costs and effects of a Smart Care Model using smart clothing with alarm sensors that detect fall risks and monitor/give feedback on continuously recorded daily activity levels. This mixed-method study will include a quantitative component (a randomized control trial) and a qualitative component. Data will be collected and analyzed using an embedded type of mixed method, i.e., a small qualitative component will be embedded in a larger quantitative study. Before the study, we will seek institutional review board approval. The quantitative component, a randomized experimental design, will examine the effectiveness of the Smart Care Model. The control group will receive only usual care, and the experimental group will receive Smart Care. Subjects will be recruited from the trauma wards of Chang Gung Memorial Hospital (CGMH) at Linkou and New Taipei Tucheng hospital. The sample will include 158 subjects, with 79 in each group. Patients and caregivers in both groups will be assessed 8 times: at admission, before discharge, 1, 3, 6, 12, 18, and 24 months following hospital discharge. Outcomes will include (a) patient outcomes (clinical outcomes, self-care ability, adherence, service utilization, health-related quality of life [HRQoL] and cost of care), and (b) family caregiver outcomes (preparedness, perceived balance between competing needs, depressive symptoms and HRQoL). Analyses will follow an intention-to-treat principle. The effects of the Smart Care Model on health outcomes will be analyzed by hierarchical linear models. The qualitative component will follow the collection of quantitative data. A subset of 10 patients and their family caregivers will be chosen from participants who receive Smart Care, and 10 who receive routine care for in-depth personal interviews consisting of open-ended questions. Interviews will be transcribed verbatim and analyzed as suggested by Miles and Huberman (1994). After both quantitative and qualitative data are collected, the quantitative and qualitative results will be integrated, compared, and contrasted to fully explore the study aims.
Start: January 2020