Turning Research Ideas into Reality: A Guide to Developing a Simulated Research Protocol using Administrative Data

Objectives Demonstrate the translation of a research idea into a protocol with an analytic plan, including discussion on requirements for administrative data (AD) analysis, e.g., governance, time estimation. Foster discussion on processes for conducting AD research to enable learning and collaboration. ApproachParticipants were guided through three sections, and each alternated between presentations, group participation and discussion sessions. An overview of the Manitoba Centre for Health Policy (MCHP) Data Repository was presented to use as the framework for the AD discussion. Our chosen topic of discussion was: “How do health history and family history affect risk of poor outcomes for people with diabetes?” In small groups, participants discussed issues arising from translating the idea into a research plan. For example, define a cohort of people with diabetes, examine cardiovascular events as the outcome using survival analysis, and control for demographics, treatment compliance and family history of diabetes and cardiovascular events. We evaluated the feasibility of using AD to measure these variables. We discussed a method to estimate the time to conduct this proposed using AD, i.e., time for programming and analysis. Finally, we discussed data approvals and requirements when conducting research using AD. Conclusions and ImplicationsWe discussed the benefits and cautions of using AD and shared knowledge regarding research opportunities and obstacles across jurisdictions to identify commonalities and areas of opportunity for growth. The workshop was informative and interactive. It generated much discussion and was well-received among participants, with many asking for further information after the workshop concluded.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2024-11-07
DOI
https://doi.org/10.23889/ijpds.v9i5.2941
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Turning Research Ideas into Reality: A Guide to Developing a Simulated Research Protocol using Administrative Data

Carole Taylor, Heather J. Prior, Monica Sirski
International Journal for Population Data Science
Ethics and Social Impacts of AI
article

Turning Research Ideas into Reality: A Guide to Developing a Simulated Research Protocol using Administrative Data

Carole Taylor, Heather J. Prior, Monica Sirski
article en

Abstract

Objectives Demonstrate the translation of a research idea into a protocol with an analytic plan, including discussion on requirements for administrative data (AD) analysis, e.g., governance, time estimation. Foster discussion on processes for conducting AD research to enable learning and collaboration. ApproachParticipants were guided through three sections, and each alternated between presentations, group participation and discussion sessions. An overview of the Manitoba Centre for Health Policy (MCHP) Data Repository was presented to use as the framework for the AD discussion. Our chosen topic of discussion was: “How do health history and family history affect risk of poor outcomes for people with diabetes?” In small groups, participants discussed issues arising from translating the idea into a research plan. For example, define a cohort of people with diabetes, examine cardiovascular events as the outcome using survival analysis, and control for demographics, treatment compliance and family history of diabetes and cardiovascular events. We evaluated the feasibility of using AD to measure these variables. We discussed a method to estimate the time to conduct this proposed using AD, i.e., time for programming and analysis. Finally, we discussed data approvals and requirements when conducting research using AD. Conclusions and ImplicationsWe discussed the benefits and cautions of using AD and shared knowledge regarding research opportunities and obstacles across jurisdictions to identify commonalities and areas of opportunity for growth. The workshop was informative and interactive. It generated much discussion and was well-received among participants, with many asking for further information after the workshop concluded.

International Journal for Population Data ScienceVol. 9(5)
Manitoba Health (CA), University of Manitoba (CA)
Openalex Percentile: Top 76%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.