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Controlling quality in CME/CPD by measuring and illuminating bias
David Dixon1, Jatinder Takhar, Jennifer Macnab
1Continuing Professional Development, Schulich School of Medicine & Dentistry, The University of Western Ontario, Canada.
Summary
This study assessed a tool for measuring bias in continuing medical education (CME/CPD). While the tool shows potential for quality control, standardized training is crucial to improve reliability across different sites.
Area of Science:
- Medical Education Research
- Quality Improvement in Healthcare
- Bias Detection in Medical Education
Background:
- Growing concern regarding bias in industry-supported continuing medical education/continuing professional development (CME/CPD).
- Previous research in 2007 validated an assessment tool for measuring bias in CME.
- Need to evaluate the tool's applicability across diverse settings.
Purpose of the Study:
- To assess the application of a bias measurement tool in various Canadian CME/CPD environments.
- To further understand the reliability and validity of the tool in multi-site settings.
- To inform the development of quality control mechanisms in CME/CPD.
Main Methods:
- Established a national steering committee with representatives from academic institutions and professional colleges.
- Refined the bias assessment tool and updated training materials.
- Conducted a multi-site study involving 5 academic CME/CPD centers across Canada.
- Utilized a train-the-trainer model for consistent implementation via videoconferencing.
Main Results:
- Content reviews demonstrated moderate inter-rater reliability (ICC = 0.54).
- Live reviews exhibited poor overall inter-rater reliability.
- One participating center achieved substantial inter-rater reliability (ICC = 0.68).
Conclusions:
- The bias assessment tool can be integrated into a multistage process for CME/CPD quality control.
- Standardized and cost-effective training protocols are essential to enhance tool reliability.
- Further development is needed to ensure consistent application and maximize the tool's effectiveness.
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