This study aims to develop and evaluate the longitudinal effectiveness of the Artificial Intelligence Family Involvement Generative Agent (AIFIGA) program in enhancing the health of nursing staff, family, and residents' health through the use of a sequential, mixed methods research design. The development of a real-time, interactive, and informative AIFIGA program that sparks innovation is necessary to achieve effective communication between families and nursing staff. In Phase I, lasting 18 months, we will develop the AIFIGA program based on triangulate research design, observation and in-depth interview understanding the daily communication experiences and expectations from both families and nursing staff perception in Nursing Homes(NHs) after COVID-19, as well as our previous years' research results. The training data for AIFIGA will be derived from the collection of communication dialogues in these qualitative data. Furthermore, the intelligence of AIFIGA will be developed using publicly available large language models (LLMs). In Phase II, spanning the next 18 months, we will evaluate the longitudinal effects of the AIFIGA program on the health of residents, families, and nursing staff, tracking changes over time (baseline, 1 month, 3 months, and 6 months). There will be two groups of participants: (a) an AIFIGA group that receives the AIFIGA program and uses it for 3 months, and (b) a control group that receives only routine care.
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resident health-Geriatric Depression Scale (GDS)
Timeframe: baseline, 1 month, 3 months and 6 months
resident health-Activity of daily living (ADL)
Timeframe: baseline, 1 month, 3 months and 6 months
social support scale
Timeframe: baseline
brief Center for Epidemiological Studies Depression Scale(CESD-10)
Timeframe: baseline, 1 month, 3 months and 6 months
The General Health Questionnaire-12(GHQ-12)
Timeframe: baseline, 1 month, 3 months and 6 months
Family Meaning of Nursing-Home Visits scale
Timeframe: baseline, 1 month, 3 months and 6 months