Association of Physician Densities and Gynecologic Cancer Outcomes in the United States.

OBJECTIVE: To evaluate whether there is an association between county-level obstetrician-gynecologist (ob-gyn) and primary care physician (PCP) densities and gynecologic cancer outcomes in the United States. METHODS: A retrospective cohort study of gynecologic cancers (uterine, ovarian, and cervical) in the Surveillance, Epidemiology, and End Results (SEER) database was performed from 2005 to 2018. County-level demographics were abstracted from the SEER database, population density from the United States Census Bureau, and physician density (ob-gyns and PCPs/100,000 females) from the Area Health Resources File. Backward stepwise regression models were used. RESULTS: Final analysis included 113,938 patients for stage at diagnosis analysis and 98,573 patients for 5-year survival analysis. Uterine, ovarian, and cervical cancers represented 60.0%, 25.0%, and 15.0% of patients, respectively. Most counties (57%) were nonmetropolitan and had a mean ob-gyn density of 8 per 100,000 females and a mean PCP density of 89 per 100,000 females. Multivariate analysis showed that increasing PCP density was associated with earlier stage at diagnosis (95% CI -6.27 to -0.05; P <.05) and increased 5-year survival rates in cervical cancer (95% CI 0.03-0.09; P <.05). Obstetrician-gynecologist density was not found to affect stage or survival outcomes for uterine or ovarian cancer. Analysis of sociodemographic factors for cervical cancer showed that median household income was negatively correlated with stage ( P =.01) and that the percentage of those with bachelor's degrees and metropolitan status were positively correlated with 5-year survival rates ( P <.01). For uterine cancer, the percentage of Black females was positively correlated with stage ( P <.01) and negatively correlated with 5-year survival rates ( P <.01). CONCLUSION: Increasing PCP density, but not ob-gyn density, is associated with earlier stage at diagnosis and improved 5-year survival rates in cervical cancer. County-level sociodemographic factors, including population diversity, metropolitan status, educational attainment, and household income, were also correlated with outcomes across all cancer types. Targeting PCP supply and education in lower density counties may improve population-based care for cervical cancer.

Using Motion Tracking to Analyze Forceps Paths During Simulated Forceps-Assisted Vaginal Deliveries.

OBJECTIVE: The purpose of this study was to evaluate the ability of motion tracking to discern variation in forceps paths during standardized simulated forceps-assisted vaginal deliveries among experienced and inexperienced obstetric providers. METHODS: This is a pilot study involving 24 obstetrics and gynecology residents and 6 faculty at a single institution. Each participant was filmed performing standardized simulated forceps-assisted vaginal deliveries on a high-fidelity model. Motion tracking software (Kinovea, Medoc, France) was used to track the path of the forceps shank. Data were analyzed for total path length, total x-plane displacement, total y-plane displacement, and final forceps angle. One-way analysis of variance was used to evaluate for statistically significant differences between groups based on education year, with Turkey HSD post hoc test to identify interactions. RESULTS: Statistically significant differences were noted between groups in the total path length (F = 7.57, P < 0.001) and total y-plane displacement (F = 5.79, P < 0.001). On pairwise comparison, significant differences were noted between faculty and postgraduate year 1 as well as faculty and postgraduate year 2 for total y-plane displacement and total path length. Significant differences were not observed between groups for total x-plane displacement (F = 0.89, P = 0.475) and final forceps angle (F = 2.45, P = 0.052). CONCLUSIONS: Motion tracking of standardized simulated forceps-assisted vaginal deliveries identifies statistically significant differences between experienced and inexperienced obstetric providers. Our findings suggest that motion tracking can be used to design an educational intervention to improve forceps technique among obstetrics and gynecology residents.

Computational model for timing of delivery in an obese population.

OBJECTIVE: To estimate the impact on stillbirth risk, cesarean deliveries, and delivery-related healthcare cost associated with induction of labor compared to expectant management of term pregnancies in an obese population. METHODS: A decision analysis model was designed to compare the delivery and cost outcomes associated with a hypothetical cohort of 100,000 term pregnancies, complicated by obesity, that were planning a vaginal delivery. The model predicted stillbirths, cesarean deliveries, and total delivery-related health care cost from routine induction at 39 weeks compared to expectant management and routine induction each week from 40 to 42 weeks. RESULTS: There were 387 stillbirths avoided by routine induction at 39 weeks compared to the worst-case model of expectant management with induction at 42 weeks. 9234 cesarean deliveries were avoided by routine induction at 39 weeks compared to the worst-case model of expectant management and induction at 41 weeks (30,888 vs. 40,122) . Routine induction at 39 weeks showed a savings in delivery-related health care cost of 30 million dollars compared to the worst-case model of expectant management and induction at 41 weeks (536 million vs. 566 million). CONCLUSION: Utilizing this computational model, routine induction at 39 weeks minimizes stillbirths, cesarean deliveries, and delivery-related health care cost.

Predicting Cesarean Delivery After Induction of Labor Among Nulliparous Women at Term.

OBJECTIVE: To identify independent risk factors for cesarean delivery after induction of labor and to develop a nomogram for predicting cesarean delivery among nulliparous women undergoing induction of labor at term. METHODS: This is a retrospective cohort study including nulliparous women with singleton, term (37 0/7 weeks of gestation or greater), cephalic pregnancies undergoing induction of labor from July 1, 2006, through May 31, 2012, at a tertiary care academic center. Inductions were identified using International Classification of Diseases, 9th Revision codes. Demographic, delivery, and outcome data were abstracted manually from the medical record. Women with a contraindication to vaginal delivery (malpresentation, abnormal placentation, prior myomectomy) were excluded. Independent risk factors for cesarean delivery were identified using logistic regression. RESULTS: During the study period, there were 785 nulliparous inductions that met study criteria; 231 (29.4%) underwent cesarean delivery. Independent risk factors associated with an increased risk of cesarean delivery included older maternal age, shorter maternal height, greater body mass index, greater weight gain during pregnancy, older gestational age, hypertension, diabetes mellitus, and initial cervical dilation less than 3 cm. A nomogram was constructed based on the final model with a bias-corrected c-index of 0.709 (95% confidence interval 0.671-0.750). CONCLUSION: We identified independent risk factors that can be used to predict cesarean delivery among nulliparous women undergoing induction of labor at term. If validated in other populations, the nomogram could be useful for individualized counseling of women with a combination of identifiable antepartum risk factors. LEVEL OF EVIDENCE: II.