Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
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Home Research Research Library Predictive validity of the American Board of Family Practice In-Training Examination Predictive validity of the American Board of Family Practice In-Training Examination 1990 Author(s) Leigh, T M, Johnson, T P, and Pisacano, N J Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Graduate Medical Education, and Measurement Volume Academic Medicine Source Academic Medicine Most research into the validity of graduate medical education in-training examinations has focused on construct validity and concurrent validity issues. This study examined the predictive validity of the American Board of Family Practice In-Training Examination using multivariate analysis of all U.S. family practice residents who took the certification examination in either 1987 or 1988. Results of these two certification examinations were analyzed for the cohorts of physicians who had taken in-training examinations as first-, second-, and third-year residents. Multiple regression analysis showed that the composite score, and all but one part-score, of each in-training examination were independently predictive of performance on the certification examination. This study also found that the older residents did less well on the certification exam, and that men and women each did better on selected portions of the examination. The implications of these findings for in-training examinations in other specialties and for program directors and residents are discussed. ABFM Research Read all 2024 Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations Go to Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations 2021 How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care Go to How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2015 ABFM’s self-assessment module (SAM) revision process Go to ABFM’s self-assessment module (SAM) revision process
Author(s) Leigh, T M, Johnson, T P, and Pisacano, N J Topic(s) Education & Training, Family Medicine Certification, and Role of Primary Care Keyword(s) Graduate Medical Education, and Measurement Volume Academic Medicine Source Academic Medicine
ABFM Research Read all 2024 Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations Go to Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations 2021 How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care Go to How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2015 ABFM’s self-assessment module (SAM) revision process Go to ABFM’s self-assessment module (SAM) revision process
2024 Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations Go to Rural Family Physicians Are More Likely to Collaborate with Multisector Community Organizations
2021 How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care Go to How Comprehensive Medication Management Contributes to Foundational Elements of Primary Care
2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE)
2015 ABFM’s self-assessment module (SAM) revision process Go to ABFM’s self-assessment module (SAM) revision process
