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Biomedical subjects

Henry J Schultz

Publications and source records attributed to Henry J Schultz.

8 recordsLinked to original sources

Changes in career decisions of internal medicine residents during training.

BACKGROUND: Little is known about the timing and stability of internal medicine resident career decisions during the course of residency training. OBJECTIVE: To assess changes in reported career plans among internal medicine trainees during their training. DESIGN: Observational cohort using data collected as part of the annual Internal Medicine In-Training Examination (IM-ITE) survey. SETTING: 411 internal medicine residency programs in North America participating in the annual IM-ITE. PARTICIPANTS: 2638 internal medicine residents who took the IM-ITE and responded to career plan questions on the test survey in all 3 years of training (2002-2004). MEASUREMENTS: Self-reported career plans for individual residents during their postgraduate year 1 (PGY-1), postgraduate year 2 (PGY-2), and postgraduate year 3 (PGY-3) of training. RESULTS: 2281 of 2638 residents (86.5%) identified a specific career plan in internal medicine during PGY-3. Of these 2281 residents, 1417 (62.1%) changed career plans at least once during the study period. Career plans reported by PGY-1 and PGY-2 residents matched subsequent PGY-3 plans for 55.1% and 68.4%, respectively. Six hundred eighty-six (26.0%) PGY-1, 278 (10.5%) PGY-2, and 205 (7.8%) PGY-3 residents remained undecided about their career plans at the time of the IM-ITE. Only 25.0% of graduating residents reported plans for a general internal medicine career. LIMITATIONS: The study cohort represents a convenience sample and is restricted to the subset of residents sitting for the IM-ITE and responding to career plan questions in all 3 years of postgraduate training. Career plans were assessed by self-report, and it is possible that residents who responded in all years of training differed from those who did not. CONCLUSIONS: In a subset of internal medicine residents in the class of 2004, career decisions changed late into residency training and enthusiasm for careers in general internal medicine remained low.

Career Choice↗

Teaching evidence-based medicine to internal medicine residents: the efficacy of conferences versus small-group discussion.

BACKGROUND: Evidence-based medicine (EBM) is a required component of the Accreditation Council for Graduate Medical Education's Practice-Based Learning core competency. PURPOSE: To compare the efficacy of conferences and small-group discussions in enhancing EBM competency. METHODS: EBM conferences and small-group discussions were integrated into an internal medicine curriculum. EBM competency was assessed by written examination following participation in both groups and compared with residents who had not participated in either format. RESULTS: Small-group discussion participants (n = 10) scored higher on an EBM exam (17.8 +/- 4.5 correct out of 25) when compared with 10 conference participants (12.2 +/- 4.6, p = .010) and 26 residents who did not participate in either format (12.0 +/- 4.5, p = .002). Small-group discussion participants also reported increased confidence and high satisfaction. CONCLUSIONS: Although more resource intensive, small-group discussions resulted in increased EBM knowledge, increased confidence with critical appraisal skills, and high satisfaction compared with a conference-based format.

Clinical Competence↗

A curricular initiative for internal medicine residents to enhance proficiency in internal jugular central venous line placement.

OBJECTIVE: To determine the feasibility, efficacy, and outcomes of teaching Internal Jugular (IJ) central venous line placement (CVLP) to internal medicine residents in a hands-on training experience with adult patients. SUBJECTS AND METHODS: Data were obtained from 47 residents during their 3-year residency program through questionnaires and a proprietary system that tracks resident procedures. Twenty-five postgraduate year (PGY) 2 residents at the Mayo Clinic in Rochester, Minn, were assigned to IJ-CVLP training in the cardiac catheterization laboratory from January 2001 to June 2001. Their experience, analyzed immediately after training and at completion of residency, was compared with that of 22 PGY-2 residents in the same class who were not assigned to IJ-CVLP training. RESULTS: The median Likert scores of the residents' self-reported perception of independence in IJ-CVLP increased from 3.0 (mean +/- SD score, 2.8+/-1.4) before the intervention to 5.0 (4.4+/-0.9) after the intervention (P<.001, signed rank test). At graduation, trained residents had performed more IJ-CVLPs than the control residents (mean +/- SD, 17.8+/-8.4 vs 9.8+/-6.3, respectively; P<.001). Residents who received IJ-CVLP training, compared with those who did not, showed a significant increase in the mean percentage of IJ-CVLPs performed independently between PGY-1 (2.2%) and PGY-3 (31.2%) (P=.008). CONCLUSIONS: Training internal medicine residents to perform IJ-CVLP is feasible in the cardiac catheterization laboratory with supervision from an attending cardiologist. Trained residents performed significantly more IJ-CVLPs independently during their third year compared with their first year of training. We believe this initiative may be implemented successfully in graduate medical education curriculums.

Adult↗

Determining the predictors of internal medicine residency accreditation: what they do (not what they say).

PURPOSE: The Accreditation Council for Graduate Medical Education and the Residency Review Committee for Internal Medicine (RRC-IM) evaluate internal medicine residency programs using a list of 301 program requirements. The authors investigated which requirements, program demographics, and site-visitor characteristics were the strongest predictors of accreditation. METHOD: The authors surveyed the program directors of all 405 accredited internal medicine residency programs in February 1998, obtaining data on the duration of the accreditation process, site visitors, and number and quality of citations. They also requested a copy of the notification letter containing citations and length of time until the next accreditation site visit (cycle length). RESULTS: A total of 217 responses (54%) was received. The mean cycle length was 3.0 years, and the accreditation process averaged 14.5 months. Smaller programs had a shorter average cycle length. Site visitors were reported to be prepared and professional overall. However, site visitors with the lowest evaluations by program directors were associated with shorter cycle lengths. Four program characteristics and program citations accounted for 60% of the variation in cycle length: total number of citations in the notification letter, percentage of graduates passing the American Board of Internal Medicine Certifying Examination, inadequate demonstration of resident scholarship, and inadequate ambulatory care experience. CONCLUSION: The authors devised an independent mechanism for determining the duration of the RRC-IM review process, influence of program demographics on the process, influence of site visitors on the accreditation action, and program requirements having the greatest effect on cycle length.

Accreditation↗

A real-time computer model to assess resident work-hours scenarios.

OBJECTIVE: To accurately model residents' work hours and assess options to forthrightly meet Residency Review Committee-Internal Medicine (RRC-IM) requirements. DESCRIPTION: The requirements limiting residents' work hours are clearly defined by the Accreditation Council for Graduate Medical Education (ACGME) and the RRC-IM: "When averaged over any four-week rotation or assignment, residents must not spend more than 80 hours per week in patient care duties."(1) The call for the profession to realistically address work-hours violations is of paramount importance.(2) Unfortunately, work hours are hard to calculate. We developed an electronic model of residents' work-hours scenarios using Microsoft Excel 97. This model allows the input of multiple parameters (i.e., call frequency, call position, days off, short-call, weeks per rotation, outpatient weeks, clinic day of the week, additional time due to clinic) and start and stop times for post-call, non-call, short-call, and weekend days. For each resident on a rotation, the model graphically demonstrates call schedules, plots clinic days, and portrays all possible and preferred days off. We tested the model for accuracy in several scenarios. For example, the model predicted average work hours of 85.1 hours per week for fourth-night-call rotations. This was compared with logs of actual work hours of 84.6 hours per week. Model accuracy for this scenario was 99.4% (95% CI 96.2%-100%). The model prospectively predicted work hours of 89.9 hours/week in the cardiac intensive care unit (CCU). Subsequent surveys found mean CCU work hours of 88, 1 hours per week. Model accuracy for this scenario was 98% (95% CI 93.2-100%). Thus validated, we then used the model to test proposed scenarios for complying with RRC-IM limits. The flexibility of the model allowed demonstration of the full range of work-hours scenarios in every rotation of our 36-month program. Demonstrations of status-quo work-hours scenarios were presented to faculty as well as real-time demonstrations of the feasibility, or unfeasibility, of their proposed solutions. The model clearly demonstrated that non-call (i.e., short-call) admissions without concomitant decreases in overnight call frequency resulted in substantial increases in total work hours. Attempts to "get the resident out" an hour or two earlier each day had negligible effects on total hours and were unrealistic paper solutions. For fourth-night-call rotations, the addition of a "golden weekend" (i.e., a fifth day off per month) was found to significantly reduce work hours. The electronic model allowed the development of creative schedules for previously third-night-call rotations that limit resident work hours without decreasing continuity of care by scheduling overnight call every sixth night alternating with sixth-night-short-call rotations. DISCUSSION: Our electronic model is sufficiently robust to accurately estimate work hours on multiple and varied rotations. This model clearly demonstrates that it is very difficult to meet the RRC-IM work-hours limitations under standard fourth-night-call schedules with only four days off per month. We are successfully using our model to test proposed alternative scenarios, to overcome faculty misconceptions about resident work-hours "solutions," and to make changes to our call schedules that both are realistic for residents to accomplish and truly diminish total resident work hours toward the requirements of the RRC-IM.

Computer Simulation↗