Actively Recruiting
Implementing Advance Care Planning for Severely Ill Elderly Patients in Hospital Geriatric Units A Cluster Randomized Study
Led by University of Oslo · Updated on 2025-04-06
2000
Participants Needed
12
Research Sites
100 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are evaluating a complex intervention to improve advance care planning ACP for severely ill elderly people living at home who are acutely admitted to hospital. This cluster randomized study involves twelve Norwegian geriatric hospital units and aims to enhance patient and family involvement in treatment decisions, improve quality of life, and support ethical and legal care planning. The project also explores barriers and facilitators to implementing ACP at clinical, health service, and governmental levels, including economic analyses. The intervention group receives a comprehensive support program that includes leadership commitment, training for staff, implementation teams, ACP coordinators, and practical tools such as guidelines and documentation templates. The control group receives no implementation support during the trial but will be offered the program afterward. The study period includes baseline, 9-month, and 18-month assessments for the intervention group and baseline and 18-month assessments for the control group. Participants will undergo questionnaires and interviews with patients, relatives, clinicians, and staff at multiple time points before, during, and after the implementation. Data from patient records and national health registers will be collected to assess the fidelity of ACP implementation, clinical outcomes, communication quality, and cost-effectiveness. The trial runs until December 2026 and includes various measures to evaluate the impact of the support program on ACP delivery and related outcomes.
CONDITIONS
Brief Title
Advanced Care Planning for the Severely Ill Home-dwelling Elderly
Research Team
R
Reidar Pedersen, PhD
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here