research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
Phoenix Newsletter - March 2025 President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
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Home Research Research Library The Predictive Validity of the National Board of Osteopathic Medical Examiners’ COMLEX-USA Examinations With Regard to Outcomes on American Board of Family Medicine Examinations The Predictive Validity of the National Board of Osteopathic Medical Examiners’ COMLEX-USA Examinations With Regard to Outcomes on American Board of Family Medicine Examinations 2016 Author(s) O’Neill, Thomas R, Peabody, Michael R, and Song, H Topic(s) Education & Training, and Family Medicine Certification Keyword(s) Graduate Medical Education, and Psychometrics Volume Academic Medicine Source Academic Medicine PURPOSE: To examine the predictive validity of the National Board of Osteopathic Medical Examiners’ Comprehensive Osteopathic Medical Licensing Examination of the United States of America (COMLEX-USA) series with regard to the American Board of Family Medicine’s (ABFM’s) In-Training Examination (ITE) and Maintenance of Certification for Family Physicians (MC-FP) Examination. METHOD: A repeated-measures design was employed, using test scores across seven levels of training for 1,023 DOs who took the MC-FP for the first time between April 2012 and November 2014 and for whom the ABFM had ITE scores for each of their residency years. Pearson and disattenuated correlations were calculated; Fisher r to z transformation was performed; and sensitivity, specificity, and positive and negative predictive values for the COMLEX-USA Level 2-Cognitive Evaluation (CE) with regard to the MC-FP were computed. RESULTS: The Pearson and disattenuated correlations ranged from 0.55 to 0.69 and from 0.61 to 0.80, respectively. For MC-FP scores, only the correlation increase from the COMLEX-USA Level 2-CE to Level 3 was statistically significant (for Pearson correlations: z = 2.41, P = .008; for disattenuated correlations: z = 3.16, P < .001). The sensitivity, specificity, and positive and negative predictive values of the COMLEX-USA Level 2-CE with the MC-FP were 0.90, 0.39, 0.96, and 0.19, respectively. CONCLUSIONS: Evidence was found that the COMLEX-USA can assist family medicine residency program directors in predicting later resident performance on the ABFM’s ITE and MC-FP, which is becoming increasingly important as graduate medical education accreditation moves toward a single aligned model. Read More ABFM Research Read all 2020 Changes and Variation in Medicare Graduate Medical Education Payments Go to Changes and Variation in Medicare Graduate Medical Education Payments 2018 Comparative analysis of the ABFM and ACOFP in-training examinations Go to Comparative analysis of the ABFM and ACOFP in-training examinations 2019 Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity Go to Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity 2021 What Family Medicine Can Learn From Other Specialties Go to What Family Medicine Can Learn From Other Specialties
Author(s) O’Neill, Thomas R, Peabody, Michael R, and Song, H Topic(s) Education & Training, and Family Medicine Certification Keyword(s) Graduate Medical Education, and Psychometrics Volume Academic Medicine Source Academic Medicine
ABFM Research Read all 2020 Changes and Variation in Medicare Graduate Medical Education Payments Go to Changes and Variation in Medicare Graduate Medical Education Payments 2018 Comparative analysis of the ABFM and ACOFP in-training examinations Go to Comparative analysis of the ABFM and ACOFP in-training examinations 2019 Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity Go to Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity 2021 What Family Medicine Can Learn From Other Specialties Go to What Family Medicine Can Learn From Other Specialties
2020 Changes and Variation in Medicare Graduate Medical Education Payments Go to Changes and Variation in Medicare Graduate Medical Education Payments
2018 Comparative analysis of the ABFM and ACOFP in-training examinations Go to Comparative analysis of the ABFM and ACOFP in-training examinations
2019 Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity Go to Utilizing PHATE: A Population Health–Mapping Tool to Identify Areas of Food Insecurity
2021 What Family Medicine Can Learn From Other Specialties Go to What Family Medicine Can Learn From Other Specialties