Objective: Our objective was to determine whether case mix model adjustment would help to explain differences in cesarean delivery rates between community and university hospitals. We also wished to define a patient population in which the cesarean delivery rate would be more reflective of individual practice patterns than of obstetric or medical risk.
Study Design: Established risk factors for cesarean delivery were identified by retrospective chart review at two community hospitals (designated A and B) and a university hospital. Each delivery was assigned exclusively to 1 of 6 risk categories: (1) multiple gestation, (2) fetal malpresentation, (3) delivery at <36 weeks' gestation, (4) not suitable for trial of labor, and (5) term delivery (> or =36 weeks' gestation) with medical complications, and (6) term delivery (> or =36 weeks' gestation) without medical complications. Parity and history of cesarean delivery further subdivided these categories into a total of 18 unique subgroups. Case mix was defined as the distribution of patients into each subgroup. Patients assigned to the categories of multiple gestation, fetal malpresentation, delivery at <36 weeks' gestation, and not eligible for trial of labor were considered to compose the group at high risk for cesarean delivery. The remaining patients composed the group at low risk for cesarean delivery. Observed cesarean delivery rates were calculated for each cell of the case mix grid within individual hospitals. Total, primary, and repeat cesarean delivery rates were determined for each hospital. The cesarean delivery rates for the low-risk populations were calculated. Data were evaluated both by chi(2) test and by direct standardization analysis with the university hospital case mix used as the standard population.
Results: A total of 5705 delivery reports were reviewed (university hospital, n = 4538; hospital A, n = 531; hospital B, n = 636). The cesarean delivery rates were significantly different between hospitals (university hospital, 16. 9%; hospital A, 13.6%; hospital B, 12.0%; P =.002). The distributions of patients in the high-risk group were also significantly different between hospitals (university hospital, 16. 8%; hospital A, 5.8%; hospital B, 8.8%; P = .001). The percentage of medically complicated cases in the low risk for cesarean group was significantly higher at the university hospital (university hospital, 16.9%; hospital A, 8.8%; hospital B, 9.8%; P =.001). However, no statistical differences were detected between hospitals in either the observed cesarean delivery rates or the standardized rates for the low-risk groups.
Conclusion: The case mix model provides a more accurate method of comparing cesarean delivery rates between community and university hospitals. The low-risk group of patients discriminated in this model represents a population in which the cesarean delivery rate may be more reflective of individual practice patterns than of maternal or fetal risks.
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http://dx.doi.org/10.1067/mob.2000.108849 | DOI Listing |
J Affect Disord
January 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.
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Unidad Académica de Endocrinología y Metabolismo, Hospital de Clínicas "Dr. Manuel Quíntela", Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
Prolactinomas are the most prevalent subtype of pituitary adenomas and represent one of the leading etiological factors responsible for amenorrhea and infertility in women. The primary therapeutic approach entails the use of dopamine agonists, which effectively restore fertility. In cases of microprolactinomas, the likelihood of experiencing a symptomatic enlargement of the tumor during pregnancy is exceptionally low, estimated at a mere 2.
View Article and Find Full Text PDFBiomed Hub
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Department of Surgery, SUNY Upstate Medical University, Syracuse, NY, USA.
Introduction: The factors influencing meconium aspiration syndrome (MAS) severity remain poorly understood. In a piglet model of MAS, we hypothesized the respiratory microbiome would reflect the bacterial signature of meconium with short-chain fatty acid (SCFA) accumulation as a byproduct of bacterial fermentation.
Methods: Cesarean section at approximately 115-day term was performed on two sows.
Sisli Etfal Hastan Tip Bul
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Department of Cardiovascular Surgery, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Pregnancy-related spontaneous coronary artery dissection (P-SCAD) is a life-threatening condition that occurs during or after pregnancy, is rare and can be overlooked. It is one of the most important causes of pregnancy-related acute myocardial infarction. A 25-year-old female patient was admitted with a complaint of chest pain in her 37th week of pregnancy.
View Article and Find Full Text PDFTohoku J Exp Med
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Department obstetrical, Hangzhou Linping District Maternal and Child Health Care Hospital.
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