Development and Validation of a Dementia Life Expectancy Tool
NCT06266325 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 202217
Last updated 2024-03-04
Summary
Individuals with dementia and their caregivers are faced with challenging decisions throughout the course of the disease. These decisions may be about medical care (e.g., continuation of routine cancer screening, pursuit of cardiopulmonary resuscitation, initiation of palliative care services), institutionalization (i.e., transition to a long-term care facility), or financial planning. These inherently difficult decisions are made more difficult by prognostic uncertainty. Indeed, life expectancy is challenging to predict in dementia. Consequently, prognosis is infrequently discussed by healthcare providers with individuals with dementia and their families, which compromises their ability to plan for the future. A lack of prognostic awareness makes it difficult for patients, their caregivers, and their healthcare providers to make medical decisions that strike the appropriate balance between prolonging life and promoting the quality of it. A clinical prediction tool has the promise to provide personalized and accurate estimations of life expectancy in individuals with dementia. Therefore, similar to the existing clinical prediction tools on our Project Big Life platform (www.projectbiglife.ca), we seek to create and to test a statistical model to predict survival, and to implement the model as a user-friendly, web-based calculator. The calculator will use self-reported sociodemographic, clinical, cognitive, functional, and nutritional information that is entered by patients, their caregivers, and/or their healthcare providers to output an estimated life expectancy. This estimate could inform the shared decision-making process, thereby empowering decisions that are compatible with a patient's clinical reality and concordant with their life goals.
Conditions
- Dementia
- Death
Interventions
- OTHER
-
There is no intervention. Exposures are predictor variables of mortality.
Predictor variables of mortality will be in following categories: sociodemographic, clinical (comorbidities, treatment), caregiver-specific, functional, nutritional, cognitive, psychological/behavioural, home care, healthcare utilization, and assessment-specific information.
Sponsors & Collaborators
-
Sunnybrook Research Institute
collaborator OTHER -
Ottawa Hospital Research Institute
collaborator OTHER -
ICES
collaborator INDUSTRY -
University of Toronto
lead OTHER
Principal Investigators
-
Michael J Bonares, MD, MSc · University of Toronto
Eligibility
- Min Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2010-04-01
- Primary Completion
- 2022-12-31
- Completion
- 2022-12-31
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