THE EFFECT OF REMOTE NURSING INTERVENTIONS BASED ON THE EMPOWERMENT PROCESS MODEL ON PEOPLE WITH DEMENTIA AND THEIR FAMILY CAREGIVERS

In this study, it is planned to evaluate the effect of remote nursing interventions based on the empowerment model on individuals with dementia and family caregivers. It was designed as a mixed method research. It chose explanatory sequential mixed methods design as a mixed method type. The research will be conducted at the Alzheimer's Social Life Center affiliated to Ankara Metropolitan Municipality between June 01 and December 31, 2025. The quantitative part of the study was planned in a randomized controlled pretest-posttest (parallel) study design. The study will be conducted with 30 caregivers in the intervention group and 30 in the control group. Descriptive Information Form, Zarit Care Burden Scale, Caregiver Readiness Scale, Mini Mental Test and NPE - Neuropsychiatric Inventory will be used as data collection tools. The intervention period was determined as 10 weeks. Remote nursing interventions based on the model will be carried out through the web page named "Take Care of Yourself". Dementia patients and their relatives in the control group will continue to receive standard services provided by the Alzheimer Social Life Center. One week after the end of the intervention, the data collection tools will be applied again by the nurse at the center to the dementia patients and caregivers in both groups. Quantitative data will be evaluated using appropriate statistics in SPSS 23.0 package program. After the quantitative part of the study is completed, the qualitative part will be applied. The qualitative part was designed in a descriptive phenomenological design. In-depth individual interviews will be conducted with individuals who meet the inclusion criteria. A semi-structured interview form will be used in individual interviews. When it is decided that data saturation has been reached, the data collection phase of the research will be terminated. Data analysis will be carried out with the content analysis approach. The data will be analyzed using the MAXQDA 2