Decision Support App for Managing Behavioral and Psychological Symptoms of Dementia in Nursing Homes
EunKyo Kim, Eunhee Cho, Minhee Yang, Sinwoo Hwang, Jungwon Cho, SangA Lee

TL;DR
A decision support app was tested to help manage dementia symptoms in nursing homes, but technical issues limited its effectiveness.
Contribution
The study introduces a novel app using machine learning to predict and manage behavioral and psychological symptoms of dementia.
Findings
The app reduced depression and agitation scores, but not significantly better than the control group.
Nurses improved in BPSD management competencies regardless of app use.
Music and reminiscence therapies were perceived as helpful by nurses for managing dementia symptoms.
Abstract
Managing behavioral and psychological symptoms of dementia (BPSD) is an increasing global challenge. This study aimed to test an app developed for managing BPSD in a nursing home setting. A cluster randomized controlled trial included 35 older adults with dementia and 28 nurses across 11 facilities. Over eight weeks, the intervention group used an app that recorded and predicted BPSD. The app analyzed BPSD patterns using machine learning and provided individualized non-pharmacological interventions such as music, reminiscence, and exercise therapy. However, the control group used the BPSD recording system without access to individualized interventions. Overall BPSD, depression, agitation, and nurses’ BPSD management competencies were measured. Nurses in the intervention group recorded their narrative experiences using the app, as well as residents’ reactions to it. Generalized mixed…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Geriatric Care and Nursing Homes · Family and Patient Care in Intensive Care Units
