Measuring surgical trainee perceptions to assess the operating room educational environment.
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2010-07
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OBJECTIVE: To determine measurable differences in the perception of learning between junior and senior residents in the operating rooms of an obstetrics and gynecology (OBGYN) residency program. DESIGN, SETTING, AND PARTICIPANTS: Using a cross-sectional design, the Operating Room Educational Environment Measure (OREEM), a 40-item educational environment inventory, was administered to 28 OBGYN residents from 1 training program, who train at 3 hospital sites. The OREEM measures a trainee's perceptions of the teaching surgeon, learning opportunities, operating room atmosphere, and workload. The primary outcome was total OREEM scores and secondary outcomes were OREEM subscale scores, global impression of education, and internal consistency and validity of the OREEM scale. Group sample sizes of 10 and 10 achieved 80% power to detect a 10% difference between group mean OREEM scores +/- 10% with a significance level of 0.05. RESULTS: Twenty-four residents including 11 junior (postgraduate years 1 and 2) and 13 senior (postgraduate years 3 and 4) residents were included in the analysis. Total OREEM scores, learning opportunities, and workload/support subscale scores were significantly lower for junior residents compared with senior residents across all sites. Perceptions of learning at a multispecialty tertiary referral hospital were lower than the community and regional hospitals. This was secondary to complexity of cases, subspecialty fellows, and decreased opportunities to first-assist in the operating room. The OREEM demonstrated acceptable reliability and construct validity. CONCLUSIONS: There are measurable differences in perception of the operating room educational environment between junior and senior OBGYN residents using the reliable and valid Operating Room Educational Environment Measure.
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Diwadkar, Gouri B, and J Eric Jelovsek (2010). Measuring surgical trainee perceptions to assess the operating room educational environment. J Surg Educ, 67(4). pp. 210–216. 10.1016/j.jsurg.2010.04.006 Retrieved from https://hdl.handle.net/10161/15389.
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John E Jelovsek
Dr. Jelovsek is the F. Bayard Carter Distinguished Professor of OBGYN at Duke University and serves as Director of Data Science for Women’s Health. He is Board Certified in OBGYN by the American Board of OBGYN and in Female Pelvic Medicine & Reconstructive Surgery by the American Board of OBGYN and American Board of Urology. He has an active surgical practice in urogynecology based out of Duke Raleigh. He has expertise as a clinician-scientist in developing and evaluating clinical prediction models using traditional biostatistics and machine learning approaches. These “individualized” patient-centered prediction tools aim to improve decision-making regarding the prevention of lower urinary tract symptoms (LUTS) and other pelvic floor disorders after childbirth (PMID:29056536), de novo stress urinary incontinence and other patient-perceived outcomes after pelvic organ prolapse surgery, risk of transfusion during gynecologic surgery, and urinary outcomes after mid-urethral sling surgery (PMID: 26942362). He also has significant expertise in leading trans-disciplinary teams through NIH-funded multi-center research networks and international settings. As alternate-PI for the Cleveland Clinic site in the NICHD Pelvic Floor Disorders Network, he was principal investigator on the CAPABLe trial (PMID: 31320277), one of the largest multi-center trials for fecal incontinence studying anal exercises with biofeedback and loperamide for the treatment of fecal incontinence. He was the principal investigator of the E-OPTIMAL study (PMID: 29677302), describing the long-term follow up sacrospinous ligament fixation compared to uterosacral ligament suspension for apical vaginal prolapse. He was also primary author on research establishing the minimum important clinical difference for commonly used measures of fecal incontinence. Currently, he serves as co-PI in the NIDDK Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) (U01DK097780-05) where he has been involved in studies in the development of Symptoms of Lower Urinary Tract Dysfunction Research Network Symptom Index-29 (LURN SI-29) and LURN SI-10 questionnaires for men and women with LUTS. He is also the site-PI for the PREMIER trial (1R01HD105892): Patient-Centered Outcomes of Sacrocolpopexy versus Uterosacral Ligament Suspension for the Treatment of Uterovaginal Prolapse.
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