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1.
Acad Med ; 74(1 Suppl): S24-9, 1999 Jan.
Article in English | MEDLINE | ID: mdl-9934305

ABSTRACT

In response to Virginia's need for an increased supply of generalist physicians, the state's three medical schools--Eastern Virginia Medical School, Virginia Commonwealth University School of Medicine, and the University of Virginia School of Medicine--have formed a partnership with key governmental stakeholders in the Virginia Generalist Initiative funded by The Robert Wood Johnson Foundation's Generalist Physician Initiative. These state-supported medical schools historically have functioned independently, with little cooperative effort. This paper describes the consortium, its activities, its successes, and its unmet objectives, and uses a series of cases in point to illustrate relevant lessons learned. Some of these lessons are that (1) stakeholders must be involved from the beginning of planning to identify mutual goals and establish consortium protocols; (2) all partners must share a philosophical commitment to the consortium's mission, as well as the time and resources needed; (3) an atmosphere that enables risk-taking behavior must be created; (4) stakeholders must be willing to revise goals and sustain an environment conductive to change; and (5) trust is essential and must be vigilantly maintained. The paper concludes that the Virginia Generalist Initiative has dramatically altered the goals, objectives and programs of the three schools and has succeeded in aligning the schools' strategic objectives with the state's priorities.


Subject(s)
Education, Medical, Undergraduate , Family Practice/education , Schools, Medical/organization & administration , Databases as Topic , Humans , Internship and Residency , Organizational Objectives , Rural Population , Virginia
2.
J Gen Intern Med ; 13(6): 414-6, 1998 Jun.
Article in English | MEDLINE | ID: mdl-9669571

ABSTRACT

Our objective was to determine the ability of the internal medicine In-Training Examination (ITE) to predict pass or fail outcomes on the American Board of Internal Medicine (ABIM) certifying examination and to develop an externally validated predictive model and a simple equation that can be used by residency directors to provide probability feedback for their residency programs. We collected a study sample of 155 internal medicine residents from the three Virginia internal medicine programs and a validation sample of 64 internal medicine residents from a residency program outside Virginia. Scores from both samples were collected across three class cohorts. The Kolmogorov-Smirnov z test indicated no statistically significant difference between the distribution of scores for the two samples (z = 1.284, p = .074). Results of the logistic model yielded a statistically significant prediction of ABIM pass or fail performance from ITE scores (Wald = 35.49, SE = 0.036, df = 1, p < .005) and overall correct classifications for the study sample and validation sample at 79% and 75%, respectively. The ITE is a useful tool in assessing the likelihood of a resident's passing or failing the ABIM certifying examination but is less predictive for residents who received ITE scores between 49 and 66.


Subject(s)
Internal Medicine , Specialty Boards , Logistic Models , Models, Statistical , United States
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