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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AIFIGA group | Experimental | receives the AIFIGA program and uses it for 3 months |
|
| control group | No Intervention | receives only routine care |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AIFIGA program | Behavioral | receives the Artificial Intelligence Family Involvement Generative Agent (AIFIGA) program and uses it for 3 months |
|
| Measure | Description | Time Frame |
|---|---|---|
| resident health-Geriatric Depression Scale (GDS) | scale for depression( scored from 0 through to 15.Scores of 0-4 are considered normal; 5-8 indicate mild depression; 9-11 indicate moderate depression; and 12-15 indicate severe depression.) | baseline, 1 month, 3 months and 6 months |
| resident health-Activity of daily living (ADL) | assess individual's ability to perform basic self-care tasks (scored from 0 through to 100. higher scores mean more independence) | baseline, 1 month, 3 months and 6 months |
| social support scale | Evaluated quantities of social support (four-point Likert scale, where higher scores indicate a greater amount of each type of social resource) & satisfaction with social support (five-point Likert scale, where higher scores indicate greater satisfaction with social support) | baseline |
| brief Center for Epidemiological Studies Depression Scale(CESD-10) | assessment for family' depressive status.(scored from 0 through to 30. Any score equal to or above 10 is considered depressed) | baseline, 1 month, 3 months and 6 months |
| The General Health Questionnaire-12(GHQ-12) | assessing the mental health status of respondents. ( total score ranges from 0 to 36, Higher scores mean better mental health status outcome) | baseline, 1 month, 3 months and 6 months |
| Family Meaning of Nursing-Home Visits scale | measurement of family visiting involvement meaning | baseline, 1 month, 3 months and 6 months |
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Inclusion Criteria:
All resident-caregiver pairs meeting the inclusion criteria will be invited to join the study.
For nurses and nursing aides:
Exclusion Criteria:
-
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hsiu Hsin Tsai, PhD | Contact | 032118800 | 5075 | kitty@mail.cgu.edu.tw |
| Name | Affiliation | Role |
|---|---|---|
| Hsiu Hsin Tsai, PhD | Chang Gung University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Catholic Mercy Hospital Attached Nursing Home | Recruiting | Hsinchu | Taiwan |
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