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Biomedical subjects

L K Gunzburger

Publications and source records attributed to L K Gunzburger.

6 recordsLinked to original sources

Differences in residency performances and specialty choices between graduates of three- and four-year curricula.

This study identified differences in the specialty choices and residency program directors' performance ratings of residents graduated from two different curricula of the same medical school. One curriculum was three years long, and compressed two years of the basic sciences into one year of study. The other was a four-year program devoting two years each to the basic and clinical science, but with elements unifying the two areas. Using an 18-item form, the program directors rated the performance of 42-96% of the residents who had graduated in the classes of 1982, 1984, 1985, and 1986. (1982 was the only class of the three-year curriculum that was studied.) Graduates of the three-year program showed less strength in background medical knowledge and in their experience of using research data; their greatest strengths seemed to be in the sorts of skills that normally would be acquired during the course of residency experiences. Graduates of the four-year curriculum seemed more able to integrate background medical knowledge and effective care of patients. Their weaknesses appeared to be in those skills that would be developed during the course of the residency experience. The only marked differences between the two groups in terms of residency specialty choice were in surgery and medicine.

Career Choice

A survey of the personal computer laboratory facilities and policies at U.S. medical schools.

In 1988, the 123 U.S. medical schools (excluding Puerto Rico) of the Association of American Medical Colleges (AAMC) were surveyed to determine whether the schools had personal computer laboratory (PCL) facilities, and if so, whether the schools had policies and guidelines regarding their use. The purpose of the study was to obtain data that would be helpful to Loyola University of Chicago Stritch School of Medicine's plan to build a personal computing laboratory for its students. Responses were received from 44 medical schools regarding their PCLs' facilities, locations, administrations, staffing, primary uses, policies, and guidelines. The authors summarize some of the respondents' recommendations, observations, and suggestions to medical schools considering installing PCLs for their students.

Computers

An experiment involving reading assignments in a medicine clerkship.

Sixty-one students from two medicine rotations were assigned randomly to experimental and control groups. Instruction was the same for both except that the control group was assigned required readings while the experimental group was instructed to find and read information relating directly to their patients' conditions. The groups were compared in terms of their performances on a final written examination, on the National Board of Medical Examiners Part II examination (NBME II), and on the Medicine Subtest of the NBME II, and also in terms of the effects of prior clinical rotations on their examination scores. Although no statistically significant differences were found, other findings suggest that several areas of clinical instruction warrant further investigation.

Curriculum

Premedical and medical school performance in predicting first-year residency performance.

In the study reported here the authors examined the relationships among 40 measures of undergraduate college and medical school performance and competence in 18 medical care tasks during the first year of residency. A rating form was developed for the study to assess residents' competency in the medical care tasks and was sent to the directors of the residency programs entered by the graduates of a medical school. Stepwise multiple regression procedures were used to analyze the relationship between these ratings of residency performance and the residents' premedical and medical school performance and to identify the best predictors of residency performance for the 1982 and 1984 classes. A Rasch model analysis of the residency performance ratings indicated the ease or difficulty of each of the 18 tasks. The results provide information that would allow medical educators to use premedical and medical school performance to predict residents' competencies. The task of "clinically evaluates research and clinical data" was the most difficult for the graduates; that is, they were rated lower on it than on any other task. Two groups of measures of undergraduate and medical school performance were significantly related to performance in the residency: the Part II examination of the National Board of Medical Examiners (particularly the scores on the obstetrics-gynecology, medicine, surgery, and pediatrics subtests and the overall score) and the clerkships (particularly the third-year medicine clerkship, the fourth-year medicine clerkship, and the surgery clerkship).

Chicago