Comparing Video-based and Usual Care Interventions for In-home Dementia Caregivers
Year: 2017
Type: conference-abstract
Abstract: Approximately 90% of persons with dementia (PWD) develop behaviors and challenging care situations that are linked to caregiver burden, negative health outcomes, and nursing home placement (Bhur et al., 2006; Metlife, 2011). As part of the ongoing FamTechCare randomized controlled trial—where caregivers and PWD dyads are randomized to receive care feedback using in-home video monitoring or standard-of-care telephone conversations—telehealth team and healthcare provider suggested interventions were analyzed. This analysis compared frequencies of suggested intervention counts between the video-monitoring experimental (N=24) and standard-of-care control (N=24) groups. The Schulz & Martire (2004) Stress/Health Model for Caregiving was adapted for thematic analysis to identify emergent intervention themes. A total of 570 interventions were suggested over the 12-week study period and categorized post-hoc into 10 themes. No significant difference was found in the number of interventions provided between groups (p=0.54). Interventions focusing on education and skills for behavioral and psychological symptoms of dementia was the most suggested intervention theme in both groups (experimental: n=51; control: n=53; p=0.32). Despite the small sample size, two trends were identified for differences in suggested intervention themes between groups. The experimental group was more likely to receive suggestions regarding education and skills for safety/environmental modifications (experimental: n=36; control: n=15; p=0.09) and the control group was more likely to receive positive reinforcement (experimental: n=17; control: n=36; p=0.08). These differences demonstrate that suggested interventions from healthcare providers to in-home caregivers may differ when video data is observed and analyzed.
Source: Innovation in Aging
Authors: C. Shaw, S. Kim, K.N. Williams
Institutions: University of Iowa, University of Kansas
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,977
OpenAlex ID: W2726996838