OBJECTIVE: The purpose of this study was to assess the contribution of physician management to the probability of cesarean delivery. STUDY DESIGN: A prospective cohort study was performed of all live births who weighed > or =500 g for a 2-year period (1999-2000) at a large metropolitan hospital (n = 10,027 births). Factors that were associated significantly with cesarean delivery at one time excluded cases in which cesarean delivery was a necessary or probable outcome. In the planned vaginal delivery sample (n = 7940 births), a risk-adjusted logistic regression model was used to assess the prediction of cesarean delivery. To test for the effect of physician-management physician, we used the subset of physicians with > or =45 deliveries in the 2-year time period (n = 6563 deliveries). RESULTS: When physician-management physician data were added to the use of forward stepwise regression, entry order was abnormal position, nulliparity, birth weight of >4000 g, and physician. The model's predictive ability improved from 43.8% to 50.2%. CONCLUSION: Physician management adds a significant independent effect to the cesarean delivery risk model.
OBJECTIVE: The purpose of this study was to assess the contribution of physician management to the probability of cesarean delivery. STUDY DESIGN: A prospective cohort study was performed of all live births who weighed > or =500 g for a 2-year period (1999-2000) at a large metropolitan hospital (n = 10,027 births). Factors that were associated significantly with cesarean delivery at one time excluded cases in which cesarean delivery was a necessary or probable outcome. In the planned vaginal delivery sample (n = 7940 births), a risk-adjusted logistic regression model was used to assess the prediction of cesarean delivery. To test for the effect of physician-management physician, we used the subset of physicians with > or =45 deliveries in the 2-year time period (n = 6563 deliveries). RESULTS: When physician-management physician data were added to the use of forward stepwise regression, entry order was abnormal position, nulliparity, birth weight of >4000 g, and physician. The model's predictive ability improved from 43.8% to 50.2%. CONCLUSION: Physician management adds a significant independent effect to the cesarean delivery risk model.
Authors: Jennifer L Bailit; William Grobman; Yuan Zhao; Ronald J Wapner; Uma M Reddy; Michael W Varner; Kenneth J Leveno; Steve N Caritis; Jay D Iams; Alan T Tita; George Saade; Yoram Sorokin; Dwight J Rouse; Sean C Blackwell; Jorge E Tolosa; J Peter VanDorsten Journal: Am J Obstet Gynecol Date: 2014-06-28 Impact factor: 8.661
Authors: Mary A Vadnais; Michele R Hacker; Neel T Shah; JoAnn Jordan; Anna M Modest; Molly Siegel; Toni H Golen Journal: Jt Comm J Qual Patient Saf Date: 2016-11-15
Authors: James E Swain; Esra Tasgin; Linda C Mayes; Ruth Feldman; R Todd Constable; James F Leckman Journal: J Child Psychol Psychiatry Date: 2008-09-03 Impact factor: 8.982
Authors: Marie Delnord; Béatrice Blondel; Nicolas Drewniak; Kari Klungsøyr; Francisco Bolumar; Ashna Mohangoo; Mika Gissler; Katarzyna Szamotulska; Nicholas Lack; Jan Nijhuis; Petr Velebil; Luule Sakkeus; James Chalmers; Jennifer Zeitlin Journal: BMC Pregnancy Childbirth Date: 2014-09-13 Impact factor: 3.007