Coincidence Analysis: Case Studies for Practice-based Implementation and Programmatic Assessment Projects

October 12, 2023
1:00 p.m - 2:30 p.m ET

Virtual

Meeting attendees gathered in a spacious sunlit hall.

A Virtual Training Session for Practice-based Implementation and Programmatic Assessment

Pharmacy faculty, graduate students or administrators engaged in or interested in pharmacy research, programmatic assessment or implementation science are encouraged to attend this interactive, 90-minute virtual session on Thursday, October 12, 2023. This session will introduce the pharmacist researcher to coincidence analysis, including its key strengths and limitations compared to traditional analytic techniques, and how this method can be applied to a variety of research questions including those within implementation science and programmatic/curricular assessment. Examples of published works and resources for future use will be shared with participants.

Presenters
  • Edward Miech, ED, Research Scientist , Regenstrief Institute, Center for Health Services Research, Indianapolis, Indiana 
  • Marie Smith, PharmD, Assistant Dean for Practice & Public Policy Partnerships, Dr. Henry A. Palmer Endowed Professor of Community Pharmacy Practice
  • Diana Sobieraj, PharmD, Director of Assessment and Associate Professor, University of Connecticut School of Pharmacy

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Format

  • 90-minute virtual workshop from 1:00 p.m.–2:30 p.m. ET
  • Presentation with examples and resources followed by interactive discussion and Q&A
  • Participants will be provided with material to prepare for the session

Suggested Attendees

This topic is of interest to any pharmacy faculty, graduate student or administrator interested in learning new methods to apply to pharmacy research or programmatic assessment. Participants do not need to be AACP members. 

Cost

  • $25 registration fee (whether CE is sought or not)

Session Objectives

  • Describe the overall science and rationale of coincidence analysis (CNA) for implementation science research.
  • Apply CNA analysis to a pharmacy practice-based implementation project.
  • Explain ways to apply CNA to programmatic assessment.
Register Here