Literature DB >> 32640470

Contributions of US Medical Schools to Primary Care (2003-2014): Determining and Predicting Who Really Goes Into Primary Care.

Mark Deutchman1, Francesca Macaluso2, Jason Chao3, Christopher Duffrin4, Karim Hanna5, Daniel M Avery6, Emily Onello7, Kathleen Quinn8, Mary Tabor Griswold9, Mustafa Alavi10, James Boulger11, Patrick Bright11, Benjamin Schneider12, Jana Porter8, Shannon Luke8, James Durham13, Memoona Hasnain14, Katherine A James2.   

Abstract

BACKGROUND AND OBJECTIVES: Schools of medicine in the United States may overstate the placement of their graduates in primary care. The purpose of this project was to determine the magnitude by which primary care output is overestimated by commonly used metrics and identify a more accurate method for predicting actual primary care output.
METHODS: We used a retrospective cohort study with a convenience sample of graduates from US medical schools granting the MD degree. We determined the actual practicing specialty of those graduates considered primary care based on the Residency Match Method by using a variety of online sources. Analyses compared the percentage of graduates actually practicing primary care between the Residency Match Method and the Intent to Practice Primary Care Method.
RESULTS: The final study population included 17,509 graduates from 20 campuses across 14 university systems widely distributed across the United States and widely varying in published ranking for producing primary care graduates. The commonly used Residency Match Method predicted a 41.2% primary care output rate. The actual primary care output rate was 22.3%. The proposed new method, the Intent to Practice Primary Care Method, predicted a 17.1% primary care output rate, which was closer to the actual primary care rate.
CONCLUSIONS: A valid, reliable method of predicting primary care output is essential for workforce training and planning. Medical schools, administrators, policy makers, and popular press should adopt this new, more reliable primary care reporting method.

Year:  2020        PMID: 32640470     DOI: 10.22454/FamMed.2020.785068

Source DB:  PubMed          Journal:  Fam Med        ISSN: 0742-3225            Impact factor:   1.756


  1 in total

1.  Using the Residency Matched Method and Intent to Practice Method to Estimate Primary Care Workforce Production.

Authors:  Rick Kellerman; Samuel Ofei-Dodoo; Tessa Rohrberg; Lynn Fisher; Caitlin Henry
Journal:  Kans J Med       Date:  2022-08-22
  1 in total

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