TVN palliative frailty Algorithm
Team Building
Thanks to TVN project funding, team members from Nova Scotia and Ontario were able to meet in person to learn from the expertise of the various researchers, HQP, knowledge user, and project staff who had not previously worked together as a team, and to brainstorm about the optimal processes for successful completion of this innovative initiative.
Ěý
TVN palliative frailty Algorithm
Project Title
Helping the primary care system identify, plan, and care for seriously ill, frail elderly
Time Period and Funding
2015-7, Technology Evaluation in the Elderly Network () National Centre of Excellence (NCE), $396,368
Principal Investigators
,
Co-investigators and collaborators
, Nandini Natarajan, , Francis Lau, Tara Sampalli, Emily Marshall, Jyoti Kotecha, Doug Manual, Peter Tanuseputro, , Colleen Cash
Project Staff
Sarah Sabri, Colleen O’Connell
Purpose
Help primary healthcare providers and systems engage in advance care planning (ACP) for elderly patients who are frail and/or living with a chronic illness that may be life threatening.
Objectives
- Develop a validated electronic algorithm to help primary health care providers identify elderly patients who are frail and/or at risk of declining health and dying
- Investigate how the algorithm can best be adopted and implemented in primary health care
- Explore the clinical, policy and social implications of this identification
- Determine the patients’ and families’ needs for ACP and their views and preferences for who should initiate ACP, where it should happen and at what time in the course of their illness
Outputs
- Organized strategy to identify elderly patients at risk of dying in the next 12-18 months
- Information to successfully implement this strategy into primary healthcare practice
- Information to scale up early identification and ACP in primary healthcare across Canada