Location
Victoria South Ballroom, Ottawa Marriott Hotel
Event Website
http://sociology.uwo.ca/cluster/en/projects/knowledge_mobilization/2015/2015_conference/index.html#2015 Conference
Start Date
19-3-2015 12:30 PM
End Date
19-3-2015 12:45 PM
Description
Poster Presentation
Background: Colorectal cancer (CRC) is the second leading cause of cancer death among adults in Ontario. Evidence suggests that CRC mortality rates can be reduced through early detection with screening. The Fecal Occult Blood Test (FOBT) and the Fecal Immunochemical Test (FIT) are screening tests that may be used in the early detection of CRC. There is evidence suggesting the FIT is a more effective screening test to implement in CRC screening interventions than the FOBT. Interventions are known to be most effective when founded on evidence-‐based research. Model simulation allows researchers to implement evidence-‐based research using ‘what if” scenarios’ by exploring the broad impact of CRC interventions within populations.
Objective: The purpose of this study is to document the process of using a microsimulation model known as the Cancer Risk Management Model (CRMM), while, also using this model to estimate the long-term impact of CRC screening.
Methods: The CRMM is a comprehensive web-based, dynamic micro-simulation tool helping to guide cancer control decision-making, planning and budgeting for those involved in public health. A case study approach will be implemented to document the process of using the CRMM to explore the long-term impact of CRC screening among those ages 50 to 74 and living in Ontario for the FIT, the FOBT, and no screening. The CRMM is a validated micro-simulation model that is transparent and modular, and combines data from a wide range of sources. Therefore, model inputs will be altered at the user’s request to explore ‘what if scenarios.’ Projections will be generated by creating new scenarios (reflecting national data) from a base case scenario; results will then be extracted for the province of Ontario.
Results: Preliminary results will be presented.
Conclusion: Findings from this study will serve to directly inform the CRMM developers with feedback relating to the use of the model to explore an applied case, while, also informing cancer control decision-making, planning and budgeting for government and public sector policy leaders, decision-makers, and researchers.
Included in
Using the Cancer Risk Management Model to Predict the Long-term Impact of Colorectal Cancer Screening: A Study Protocol
Victoria South Ballroom, Ottawa Marriott Hotel
Poster Presentation
Background: Colorectal cancer (CRC) is the second leading cause of cancer death among adults in Ontario. Evidence suggests that CRC mortality rates can be reduced through early detection with screening. The Fecal Occult Blood Test (FOBT) and the Fecal Immunochemical Test (FIT) are screening tests that may be used in the early detection of CRC. There is evidence suggesting the FIT is a more effective screening test to implement in CRC screening interventions than the FOBT. Interventions are known to be most effective when founded on evidence-‐based research. Model simulation allows researchers to implement evidence-‐based research using ‘what if” scenarios’ by exploring the broad impact of CRC interventions within populations.
Objective: The purpose of this study is to document the process of using a microsimulation model known as the Cancer Risk Management Model (CRMM), while, also using this model to estimate the long-term impact of CRC screening.
Methods: The CRMM is a comprehensive web-based, dynamic micro-simulation tool helping to guide cancer control decision-making, planning and budgeting for those involved in public health. A case study approach will be implemented to document the process of using the CRMM to explore the long-term impact of CRC screening among those ages 50 to 74 and living in Ontario for the FIT, the FOBT, and no screening. The CRMM is a validated micro-simulation model that is transparent and modular, and combines data from a wide range of sources. Therefore, model inputs will be altered at the user’s request to explore ‘what if scenarios.’ Projections will be generated by creating new scenarios (reflecting national data) from a base case scenario; results will then be extracted for the province of Ontario.
Results: Preliminary results will be presented.
Conclusion: Findings from this study will serve to directly inform the CRMM developers with feedback relating to the use of the model to explore an applied case, while, also informing cancer control decision-making, planning and budgeting for government and public sector policy leaders, decision-makers, and researchers.
https://ir.lib.uwo.ca/pclc_conf/2015/Day1/16