Here you will find answers to commonly asked questions about RESPECT and implementing the tools.
Learn about the history, algorithm, and implementation of our risk communication tools.
RESPECT is a suite of risk-communication tools powered by a prediction model. Available tools include the Web Calculator, a public-facing tool, and a Planning Tool for long-term care homes. RESPECT is designed to support the earlier identification of palliative care needs.
RESPECT is a suite of algorithms and products which aim to inform conversations and care planning for an individual's current and future health care needs, and improve resource planning within a health care organization.
RESPECT was developed by Ontario-based researchers and scientists at the Bruyère Health Research Institute and the Ottawa Hospital Research Institute.
Yes. RESPECT has undergone extensive research and evaluation in both academic and real-world care settings. For individuals living in the community, the tool was developed and validated using health data from over 574,000 individuals in Ontario. For individuals living in long-term care, the tool was developed and validated using health data from over 246,000 long-term care residents in Ontario — making it the most accurate mortality risk prediction tool available for older adults in long-term care in Canada. RESPECT has also been successfully implemented in multiple long-term care homes across Ontario and Alberta as part of proof-of-concept studies. These evaluations showed that RESPECT can be integrated into routine care workflows, is acceptable to staff and residents, and supports earlier identification of palliative care needs. Ongoing research continues to assess its effectiveness, user experience, and impact on care planning and communication.
First, RESPECT was built using data from the population it is idented to serve, including community-dwelling older adults and long-term care residents. Therefore, RESPECT provides realistic survival estimates for individuals; outperforming similar tools commonly used in the community and long-term care settings. Second, RESPECT produces output (i.e. reports) that is digestible and actionable for all users, whether you are an older adult or physician. Therefore, individuals and their health care team, can have meaningful conversations about the individual's current and future care needs as they have the same information.
RESPECT has been validated using data from over 246,000 LTC residents and 570,000 community dwelling older adults and is the best-performing mortality risk algorithm to date.
The RESPECT tool provides estimated timeframes for survival (e.g., months or years), which are more actionable and understandable than precise probabilities. These estimates are meant to guide care conversations, not predict outcomes for an individual with certainty.
Predictors include factors such as: - Age and sex - Diagnosed conditions (e.g., dementia, heart failure) - Functional status (e.g., ability to eat, bathe, walk) - Cognitive performance - Symptoms (e.g., shortness of breath) - Recent healthcare use (e.g., hospitalizations) These variables are combined using a validated algorithm to provide a personalized estimate of survival, helping care teams identify residents who may benefit from a palliative approach earlier.
No. RESPECT is a support tool designed to complement clinical judgement and encourage proactive conversations about care preferences.
The RESPECT tool provides estimated timeframes for survival (e.g., months or years), which are more actionable and understandable than precise probabilities. These estimates are meant to guide care conversations, not predict outcomes for an individual with certainty.
No. RESPECT supports shared decision-making. The final care decisions always involve the individual/resident, family, and healthcare providers.
RESPECT uses health information completed by the user (web calculator) or already collected in long-term care (RAI-MDS) (Data Analyzer) to estimate an individuals life expectancy in days, months, or years, presenting best- and worst-case scenarios to guide care conversations.
RESPECT Data Analyzer is currently being used in long-term care homes across Ontario and Alberta.
RESPECT uses health information that is already routinely collected in long-term care homes as part of standard resident assessments (RAI-MDS). The tool does not collect any new data or change the care a resident receives. Similar to other tools used in healthcare for quality improvement and care planning, individual consent is not required because RESPECT operates within existing clinical workflows. It supports healthcare providers by helping them organize and interpret information they are already using — enabling earlier, better-informed conversations about care needs. Importantly, RESPECT does not make care decisions or replace conversations with residents or families. All care decisions continue to be made collaboratively between residents, substitute decision makers, and the care team.
RESPECT uses data already collected through routine LTC assessments (RAI-MDS, LTCF). No additional personal information is collected outside of standard care processes.
While RESPECT provides stratifications based on survival time, organizations can choose how they use these insights to prioritize assessments and care interventions.
The RESPECT team works with your organization throughout the implementation process. First we identify your needs and develop a plan to meet those needs. Second, we deploy RESPECT and additional services within your organization. Finally, we evaluate how your organization uses RESPECT.
Partners participating in the Consultation Process will receive training. The training is 4-hours in length: Part 1 - RESPECT (60min) on why the tool was developed and how to use the tool Part 2 - Serious Illness Conversation (SIC) (3hours) on how to have a serious illness conversation provided by certified SIC trainers.
Output generation will take few of minutes (2-5) based on your internet connection and the amount of data being processed
Yes. Data is managed in compliance with privacy regulations and data security standards applicable in Canadian healthcare settings.
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