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In this presentation by Annette Stemhagen, DrPH, FISPE, Vice President of Strategic Development Services, learn how to determine the potential success of your intervention approach through thorough feasibility assessments and ongoing evaluations. Explore the importance of stakeholder engagement, program design fit, and the use of existing data, including medical records and market research. Understand how to collect and analyze both qualitative and quantitative data to make informed decisions, ensuring your program can adapt and succeed from initiation to full implementation.
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Testing, Piloting and Evaluating RiskMAP Interventions Annette Stemhagen, DrPH, FISPE Vice President, Strategic Development Services
How Can You Determine if Your Approach Will Succeed? • Feasibility assessments prior to program initiation • Ongoing evaluation over the life of the program
Initial Feasibility Assessments • The likelihood of success with • Stakeholders • Physicians • Pharmacists • Patients • Others • Program Design • Fit busy practice routine • Represent actual clinical practice • Need for extra-ordinary testing
Assessing Feasibility • Existing data • Medical chart review • Natural history of disease • Cross sectional surveys, e.g., NCHS • Registries • Large automated databases
Assessing Feasibility • Existing data (continued) • Market research data • Competitive products • Physician prescribing behavior • ISS and ISE (particularly placebo groups) • Literature • Past experience
Assessing Feasibility • Ad hoc data collection • Panel of experts • Focus groups • Surveys • Health care providers • Patients • General population sample
Ongoing Feasibility • How good were the data? • How good were the assumptions?
Ongoing Feasibility • Projected vs. actual • Corrections mid-course
Test Risk Intervention Prior to Full Implementation • Traditional clinical trials • LSTs • Demonstration programs
Evaluation Strategies • Record review • Stakeholder Surveys • Knowledge, Attitude and Practice • Program audits • System audit trail • Large automated database study • Market research data