Exploring the Value of Waiting During Labor
Published Online:20 Sep 2018https://doi.org/10.1287/serv.2018.0205
References
- (1999) The duration of labor in healthy women. J. Perinatology: Official J. California Perinatal Assoc. 19(2):114–119.Crossref, Google Scholar
- (2015) Frequently asked questions labor, delivery and postpartum care. Technical report, American College of Obstetricians and Gynecologists, Washington, DC.Google Scholar
- , Caughey AB, Cahill AG, Guise J-M, Rouse DJ (2014) Safe prevention of the primary cesarean delivery. Amer. J. Obstetrics Gynecology 210(3):179–193.Crossref, Google Scholar
- (2003) Evaluating the C-section rate of different physician practices: Using machine learning to model standard practice. Amer. Medical Informatics Assoc. Annual Sympos. Proc., 135–139.Google Scholar
- (2004) Reevaluation of Friedman’s labor curve: A pilot study. J. Obstetric, Gynecologic, Neonatal Nursing: JOGNN/NAACOG 33(6):713–722.Crossref, Google Scholar
- (2009) The association between the length of first stage of labor, mode of delivery, and perinatal outcomes in women undergoing induction of labor. Amer. J. Obstetrics Gynecology 201(5):477.e1–477.e7.Crossref, Google Scholar
- (2003) Optimal two-stage ordering policy with Bayesian information updating. J. Oper. Res. Soc. 54(8):846–859.Crossref, Google Scholar
- (2004) Optimal single ordering policy with multiple delivery modes and Bayesian information updates. Comput. Oper. Res. 31(12):1965–1984.Crossref, Google Scholar
- (2005) Fetal weight, maternal age and height are poor predictors of the need for caesarean section for arrest of labor. Arch. Gynecology Obstetrics 273(1):20–25.Crossref, Google Scholar
- (1996) Cesarean childbirth and psychosocial outcomes: A meta-analysis. Health Psych.: Official J. Division Health Psych., Amer. Psych. Assoc. 15(4):303–314.Google Scholar
- (2007) Decision-making about mode of delivery after previous Caesarean section: Development and piloting of two computer-based decision aids. Health Expectations: Internat. J. Public Participation Health Care Health Policy 10(2):161–172.Crossref, Google Scholar
- (2015) Preterm induction of labor: Predictors of vaginal delivery and labor curves. Amer. J. Obstetrics Gynecology 212(1):91.e1–7.Crossref, Google Scholar
- (1997) The economics of site investigation for groundwater protection: Sequential decision making under uncertainty. J. Environment. Econom. Management 34(1):1–31.Crossref, Google Scholar
- (1954) The graphic analysis of labor. Amer. J. Obstetrics Gynecology 68(6):1568–1575.Crossref, Google Scholar
- (2012) Obstetrics: Normal and Problem Pregnancies (Elsevier Health Sciences, Philadelphia).Google Scholar
- (2006) Previous Cesarean delivery and risks of placenta previa and placental abruption. Obstetrics Gynecology 107(4):771–778.Crossref, Google Scholar
- (2013) Practice variation, bias, and experiential learning in cesarean delivery: A data-based system dynamics approach. Health Services Res. 48(2-part-2):713–734.Crossref, Google Scholar
- (2017) Queueing theoretic analysis of labor and delivery understanding management styles and C-section rates. Health Care Management Sci., https://link.springer.com/article/10.1007/s10729-017-9418-2.Crossref, Google Scholar
- (2012) Cesarean versus vaginal delivery: Whose risks? Whose benefits? Amer. J. Perinatology 29(1):7–18.Crossref, Google Scholar
- (2010) Vaginal birth after cesarean: New insights. Evidence Report/Technology Assessment, No. 191, U.S. Department of Health and Human Services, Rockville, MD.Google Scholar
- (1995) Epidemiologic predictors of cesarean section in nulliparous patients at low risk. Amer. J. Obstetrics Gynecology 172(1):156–162.Crossref, Google Scholar
- (2012) Normal progress of induced labor. Obstetrics Gynecology 119(6):1113–1118.Crossref, Google Scholar
- (2016) Decision models for mode of delivery combining patient and clinician risk perceptions and preferences. Unpublished doctoral dissertation, North Carolina State University, Raleigh.Google Scholar
- (2014) Simulation of labor: A study of the relationship between Cesarean section rates and the time spent in labor. Tolk A, Diallo SY, Ryzhov IO, Yilmaz L, Buckley S, Miller JA, eds. Proc. 2014 Winter Simulation Conf. (Institute of Electrical and Electronics Engineers, Savannah, GA), 1269–1280.Google Scholar
- (2013) Predicting risk for large-for-gestational age neonates at term: A population-based Bayesian theorem study. Ultrasound Obstetrics Gynecology: Official J. Internat. Soc. Ultrasound Obstetrics Gynecology 41(4):398–405.Crossref, Google Scholar
- (2008) Neonatal outcomes with caesarean delivery at term. Arch. Disease Childhood. Fetal Neonatal Edition 93(3):F176–F182.Crossref, Google Scholar
- (2003) Vaginal birth after cesarean section: Trial of labor or repeat cesarean section? A decision analysis. Amer. J. Obstetrics Gynecology 189(3):714–719.Crossref, Google Scholar
- (2016) Births in the United States, 2015. NCHS Data Brief 2015(258):1–8.Google Scholar
- (1997) Clinical risk factors for placenta previa-placenta accreta. Amer. J. Obstetrics Gynecology 177(1):210–214.Crossref, Google Scholar
- (1970) Optimal Statistical Decisions (John Wiley & Sons, Inc., Hoboken, NJ).Google Scholar
- (1995) Neonatal respiratory morbidity and mode of delivery at term: Influence of timing of elective caesarean section. British J. Obstetrics Gynaecology 102(2):101–106.Crossref, Google Scholar
- (2003) Classic articles. Obstetrics Gynecology 101(2):216.Google Scholar
- (1990a) Sequential decision making with continuous disease states and measurements: I. Theory. Medical Decision Making 10(4):242–255.Crossref, Google Scholar
- (1990b) Sequential decision making with continuous disease states and measurements: II. Application to diastolic blood pressure. Medical Decision Making 10(4):256–265.Crossref, Google Scholar
- (1997) Predicting cesarean delivery with decision tree models. Amer. J. Obstetrics Gynecology 183(5):1198–1206.Crossref, Google Scholar
- (2004) Combined logistic and Bayesian modeling of cesarean section risk. Amer. J. Obstetrics Gynecology 191(6):2029–2034.Crossref, Google Scholar
- (2005) Predicting cesarean section and uterine rupture among women attempting vaginal birth after prior cesarean section. PLoS Medicine 2(9):0871–0878.Crossref, Google Scholar
- (2011) The effect of cesarean delivery rates on the future incidence of placenta previa, placenta accreta, and maternal mortality. J. Maternal-Fetal Neonatal Medicine 24(11):1341–1346.Crossref, Google Scholar
- (2010) A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management. J. Oper. Res. Soc. 62(6):1098–1108.Crossref, Google Scholar
- (2006) Methodological challenges in studying labour progression in contemporary practice. Paediatric Perinatal Epidemiology 20(1):72–78.Crossref, Google Scholar
- (1950) Statistical decision functions. Ann. Math. Statist. 20(2):165–205.Crossref, Google Scholar
- (2010) Pelvic floor consequences of Cesarean delivery on maternal request in women with a single birth. J. Women’s Health 19(1):147–160.Crossref, Google Scholar
- (2013) Risk factors of cesarean delivery at prenatal care, admission and during labor in low-risk pregnancy: Multivariate logistic regression analysis. J. Obstetrics Gynaecology Res. 39(1):96–104.Crossref, Google Scholar
- (2004) Neonatal respiratory morbidity risk and mode of delivery at term: Influence of timing of elective caesarean delivery. Acta Paediatrica 93(5):643–647.Crossref, Google Scholar
- (2010b) The natural history of the normal first stage of labor. Obstetrics Gynecology 115(4):705–710.Crossref, Google Scholar
- (2010a) Contemporary patterns of spontaneous labor with normal neonatal outcomes. Obstetrics Gynecology 116(6):1281–1287.Crossref, Google Scholar
- (2010c) Contemporary cesarean delivery practice in the United States. Amer. J. Obstetrics Gynecology 203(4):326.e1–326.e10.Crossref, Google Scholar

