Browsing by Subject "Gynecologic Surgical Procedures"
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Item Open Access Assessing intraoperative judgment using script concordance testing through the gynecology continuum of practice.(Med Teach, 2014-08) Kow, Nathan; Walters, Mark D; Karram, Mickey M; Sarsotti, Carlos J; Jelovsek, J EricOBJECTIVE: To measure surgical judgment across the Obstetrics and Gynecology (OBGYN) continuum of practice and identify factors that correlate with improved surgical judgment. METHODS: A 45-item written examination was developed using script concordance theory, which compares an examinee's responses to a series of "ill-defined" surgical scenarios to a reference panel of experts. The examination was administered to OBGYN residents, Female Pelvic Medicine and Reconstructive Surgery (FPMRS) fellows, practicing OBGYN physicians and FPMRS experts. Surgical judgment was evaluated by comparing scores against the experts. Factors related to surgical experience were measured for association with scores. RESULTS: In total, 147 participants including 11 residents, 37 fellows, 88 practicing physicians and 11 experts completed the 45-item examination. Mean scores for practicing physicians (65.2 ± 7.4) were similar to residents (67.2 ± 7.1), and worse than fellows (72.6 ± 4.2, p < 0.001) and experts (80 ± 5, p < 0.001). Positive correlations between scores and surgical experience included: annual number of vaginal hysterectomies (r = 0.32, p = <0.001), robotic hysterectomies (r = 0.17, p = 0.048), stress incontinence (r = 0.29, p < 0.001) and prolapse procedures (r = 0.37, p < 0.001). Inverse correlation was seen between test scores and years in practice. (r = -0.19, p = 0.02). CONCLUSION: Intraoperative judgment in practicing OBGYN physicians appears similar to resident physicians. Practicing physicians who perform FPMRS procedures perform poorly on this examination of surgical judgment; lower performance correlates with less surgical experience and the greater amount of time in practice.Item Open Access Development and Validation of a Model for Opioid Prescribing Following Gynecological Surgery.(JAMA network open, 2022-07) Rodriguez, Isabel V; Cisa, Paige McKeithan; Monuszko, Karen; Salinaro, Julia; Habib, Ashraf S; Jelovsek, J Eric; Havrilesky, Laura J; Davidson, BrittanyImportance
Overprescription of opioid medications following surgery is well documented. Current prescribing models have been proposed in narrow patient populations, which limits their generalizability.Objective
To develop and validate a model for predicting outpatient opioid use following a range of gynecological surgical procedures.Design, setting, and participants
In this prognostic study, statistical models were explored using data from a training cohort of participants undergoing gynecological surgery for benign and malignant indications enrolled prospectively at a single institution's academic gynecologic oncology practice from February 2018 to March 2019 (cohort 1) and considering 39 candidate predictors of opioid use. Final models were internally validated using a separate testing cohort enrolled from May 2019 to February 2020 (cohort 2). The best final model was updated by combining cohorts, and an online calculator was created. Data analysis was performed from March to May 2020.Exposures
Participants completed a preoperative survey and weekly postoperative assessments (up to 6 weeks) following gynecological surgery. Pain management was at the discretion of clinical practitioners.Main outcomes and measures
The response variable used in model development was number of pills used postoperatively, and the primary outcome was model performance using ordinal concordance and Brier score.Results
Data from 382 female adult participants (mean age, 56 years; range, 18-87 years) undergoing gynecological surgery (minimally invasive procedures, 158 patients [73%] in cohort 1 and 118 patients [71%] in cohort 2; open surgical procedures, 58 patients [27%] in cohort 1 and 48 patients [29%] in cohort 2) were included in model development. One hundred forty-seven patients (38%) used 0 pills after hospital discharge, and the mean (SD) number of pills used was 7 (10) (median [IQR], 3 [0-10] pills). The model used 7 predictors: age, educational attainment, smoking history, anticipated pain medication use, anxiety regarding surgery, operative time, and preoperative pregabalin administration. The ordinal concordance was 0.65 (95% CI, 0.62-0.68) for predicting 5 or more pills (Brier score, 0.22), 0.65 (95% CI, 0.62-0.68) for predicting 10 or more pills (Brier score, 0.18), and 0.65 (95% CI, 0.62-0.68) for predicting 15 or more pills (Brier score, 0.14).Conclusions and relevance
This model provides individualized estimates of outpatient opioid use following a range of gynecological surgical procedures for benign and malignant indications with all model inputs available at the time of procedure closing. Implementation of this model into the clinical setting is currently ongoing, with plans for additional validation in other surgical populations.Item Open Access Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery.(Obstetrics and gynecology, 2018-08) Jelovsek, J Eric; Chagin, Kevin; Lukacz, Emily S; Nolen, Tracy L; Shepherd, Jonathan P; Barber, Matthew D; Sung, Vivian; Brubaker, Linda; Norton, Peggy A; Rahn, David D; Smith, Ariana L; Ballard, Alicia; Jeppson, Peter; Meikle, Susan F; Kattan, Michael W; NICHD Pelvic Floor Disorders NetworkOBJECTIVE:To develop statistical models predicting recurrent pelvic organ prolapse, surgical complications, and change in health status 12 months after apical prolapse surgery. METHODS:Logistic regression models were developed using a combined cohort from three randomized trials and two prospective cohort studies from 1,301 participants enrolled in surgical studies conducted by the Pelvic Floor Disorders Network. Composite recurrent prolapse was defined as prolapse beyond the hymen; the presence of bothersome bulge symptoms; or prolapse reoperation or retreatment within 12 months after surgery. Complications were defined as any serious adverse event or Dindo grade III complication within 12 months of surgery. Significant change in health status was defined as a minimum important change of SF-6D utility score (±0.035 points) from baseline. Thirty-two candidate risk factors were considered for each model and model accuracy was measured using concordance indices. All indices were internally validated using 1,000 bootstrap resamples to correct for bias. RESULTS:The models accurately predicted composite recurrent prolapse (concordance index=0.72, 95% CI 0.69-0.76), bothersome vaginal bulge (concordance index=0.73, 95% CI 0.68-0.77), prolapse beyond the hymen (concordance index=0.74, 95% CI 0.70-0.77), serious adverse event (concordance index=0.60, 95% CI 0.56-0.64), Dindo grade III or greater complication (concordance index=0.62, 95% CI 0.58-0.66), and health status improvement (concordance index=0.64, 95% CI 0.62-0.67) or worsening (concordance index=0.63, 95% CI 0.60-0.67). Calibration curves demonstrated all models were accurate through clinically useful predicted probabilities. CONCLUSION:These prediction models are able to provide accurate and discriminating estimates of prolapse recurrence, complications, and health status 12 months after prolapse surgery.