Nurse-Led AI-Supported Psychosocial Support for Palliative Caregivers

Summary

Primary caregivers of palliative care patients assume responsibility for meeting the patient's needs, monitoring symptoms, maintaining care practices, and managing changing needs. Increased responsibilities, uncertainty, and lack of information and support can negatively impact caregivers' psychosocial adjustment. The aim of this research is to evaluate the impact of a nurse-led, generative artificial intelligence-supported individualized psychosocial support program on the care readiness and psychological resilience levels of primary caregivers of palliative care patients. The six-week program will consist of six modules: adaptation to the care role, understanding care needs and coping with uncertainty, stress and emotion regulation, adaptive coping and problem-solving, self-care and social support, and making sense of the care experience and supporting strengths. Standard content, which will be evaluated with expert opinion, will be individualized according to the caregivers' needs and responses during the program. Generative artificial intelligence will be used as a nurse-supervised psychoeducational support tool within the framework of a validated knowledge base and safety rules. The research will be conducted using a pre-test-post-test, parallel-group randomized controlled experimental design. A total of 88 primary caregivers will be assigned to experimental and control groups in a 1:1 ratio. The control group will receive routine care and information, while the experimental group will receive these in addition to a psychosocial support program. Data will be collected before and immediately after the intervention using the Caregiver Demographic Information Form, the Caregiver Readiness Scale, and the Psychological Resilience Scale for Adults. Additionally, the overall satisfaction levels of participants in the experimental group regarding the program will be evaluated using a scale of 1-10. The findings are expected to provide scientific evidence for the development of individualized nursing interventions that support caregivers' preparation for the caregiving role and their psychological resilience, and for the safe, effective, and human-supervised use of generative artificial intelligence.

Conditions

• Primary Caregiver Readiness for Care and Psychological Resilience in Palliative Care

Interventions

BEHAVIORAL

Nurse-Led, Generative AI-Supported Individualized Psychosocial Support Program

A six-week, nurse-led, generative AI-supported individualized psychosocial support program for primary caregivers of palliative care patients. The program consists of six modules: (1) adaptation to the caregiving role and care readiness, (2) understanding caregiving needs and coping with uncertainty, (3) stress management and emotion regulation, (4) adaptive coping and problem solving, (5) self-care and social support, and (6) meaning-making and strengthening personal resources. Standardized core content will be individualized according to caregivers' psychosocial needs, caregiving experiences, responses during the program, and basic characteristics of the patient's care needs. Generative AI will be used as a nurse-supervised psychoeducational support tool based on expert-validated content and predefined safety rules.

BEHAVIORAL

Routine Care and Information

Participants will receive routine care and information provided by the institution during the study period. They will not receive the nurse-led, generative AI-supported individualized psychosocial support program.

Sponsors & Collaborators

• Kastamonu University

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

SUPPORTIVE_CARE

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2026-10-20

Primary Completion

2026-11-15

Completion

2027-03-20