Browsing by Author "Busha, Michael E."

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    Billing by residents and attending physicians in family medicine: the effects of the provider, patient, and visit factors
    (BMC, 2018-06-13) Al Achkar, Morhaf; Kengeri-Srikantiah, Seema; Yamane, Biniyam M.; Villasmil, Jomil; Busha, Michael E.; Gebke, Kevin B.; Family Medicine, School of Medicine
    BACKGROUND: Medical billing and coding are critical components of residency programs since they determine the revenues and vitality of residencies. It has been suggested that residents are less likely to bill higher evaluation and management (E/M) codes compared with attending physicians. The purpose of this study is to assess the variation in billing patterns between residents and attending physicians, considering provider, patient, and visit characteristics. METHOD: A retrospective cohort study of all established outpatient visits at a family medicine residency clinic over a 5-year period was performed. We employed the logistic regression methodology to identify residents' and attending physicians' variations in coding E/M service levels. We also employed Poisson regression to test the sensitivity of our result. RESULTS: Between January 5, 2009 and September 25, 2015, 98,601 visits to 116 residents and 18 attending physicians were reviewed. After adjusting for provider, patient, and visit characteristics, residents billed higher E/M codes less often compared with attending physicians for comparable visits. In comparison with attending physicians, the odds ratios for billing higher E/M codes were 0.58 (p = 0.01), 0.56 (p = 0.01), and 0.63 (p = 0.01) for the third, second, and first years of postgraduate training, respectively. In addition to the main factors of patient age, medical conditions, and number of addressed problems, the gender of the provider was also implicated in the billing variations. CONCLUSION: Residents are less likely to bill higher E/M codes than attending physicians are for similar visits. While these variations are known to contribute to lost revenues, further studies are required to explore their effect on patient care in relation to attendings' direct involvement in higher E/M-coded versus their indirect involvement in lower E/M-coded visits.
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    Can Life Experiences Predict Readiness for Residency? A Family Medicine Residency's Analysis
    (Sage, 2021-11-24) Busha, Michael E.; McMillen, Brock; Greene, Jeffrey; Gibson, Kristine; Channell, Adam; Ziemkowski, Peter; Medicine, School of Medicine
    Background: Program directors for Family Medicine residencies must navigate an increasingly complex recruitment landscape. With increasing United States allopathic and osteopathic graduates and continued high volumes of international graduates, the ability to identify application characteristics that predict quality residents both for filtering applications for interview offers and ranking is vital. Our study concentrates on the predictive value of reported life experiences including volunteerism, work experiences, prior career, research experience, and participation in medical student organizations including student leadership. Methods: Through a retrospective cohort study, we extracted the described life experiences from resident application materials. We then obtained initial clinical performance data on the Family Medicine inpatient service during the first six months of residency to determine readiness for residency. This analysis occurred in 2020 and included all matriculants in the graduating classes of 2013 through 2020 for a single residency. Of 110 matriculating residents, data were available for 97(88%). Results: Applicants with a history of a prior career demonstrated improved overall readiness for residency with competency domain-specific advantages in Interpersonal and Communication Skills and Systems-Based Practice. In contrast, applicants reporting participation in research performed below peers in all competency domains. Applicant reports on volunteerism, work experience, academic productivity and student involvement did not correlate with initial clinical performance. Conclusions: Residency directors should recognize applicants with prior careers as likely having strong communications and systems-based practice skills. All other examined experiences should be evaluated within the context of broader applicant assessments including research experience which overall has a potential negative correlation to clinical readiness.
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    One Institution’s evaluation of family medicine residency applicant data for academic predictors of success
    (BMC, 2021) Busha, Michael E.; McMillen, Brock; Greene, Jeffrey; Gibson, Kristine; Milnes, Charlotte; Ziemkowski, Peter; Family Medicine, School of Medicine
    Background Family Medicine residencies are navigating recruitment in a changing environment. The consolidation of accreditation for allopathic and osteopathic programs, the high volume of applicants, and the forthcoming transition of the United States Medical Licensing Exam (USMLE) Step 1 to pass/fail reporting all contribute. This retrospective cohort study evaluated which components of a student’s academic history best predict readiness for residency. Methods In 2020, we analyzed applicant data and initial residency data for program graduates at a single residency program between 2013 and 2020. This included undergraduate education characteristics, medical school academic performance, medical school academic problems (including professionalism), STEP exams, location of medical school, and assessments during the first 6 months of residency. Of 110 matriculating residents, assessment data was available for 97 (88%). Results Pre-matriculation USMLE data had a positive correlation with initial American Board of Family Medicine (ABFM) in-training exams. Pre-matriculation exam data did not have a positive correlation with resident assessment across any of the six Accreditation Council for Graduate Medical Education (ACGME) competency domains. A defined cohort of residents with a history of academic struggles during medical school or failure on a USMLE exam performed statistically similarly to residents with no such history on assessments across the six ACGME competency domains. Conclusions Applicants with a history of academic problems perform similarly in the clinical environment to those without. While a positive correlation between pre-matriculation exams and the ABFM in-training exam was found, this did not extend to clinical assessments across the ACGME competency domains.