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1.
J Perinat Med ; 49(3): 357-363, 2021 Mar 26.
Artículo en Inglés | MEDLINE | ID: mdl-33155996

RESUMEN

OBJECTIVES: Discussing the individual probability of a successful vaginal birth after caesarean (VBAC) can support decision making. The aim of this study is to externally validate a prediction model for the probability of a VBAC in a Dutch population. METHODS: In this prospective cohort study in 12 Dutch hospitals, 586 women intending VBAC were included. Inclusion criteria were singleton pregnancies with a cephalic foetal presentation, delivery after 37 weeks and one previous caesarean section (CS) and preference for intending VBAC. The studied prediction model included six predictors: pre-pregnancy body mass index, previous vaginal delivery, previous CS because of non-progressive labour, Caucasian ethnicity, induction of current labour, and estimated foetal weight ≥90th percentile. The discriminative and predictive performance of the model was assessed using receiver operating characteristic curve analysis and calibration plots. RESULTS: The area under the curve was 0.73 (CI 0.69-0.78). The average predicted probability of a VBAC according to the prediction model was 70.3% (range 33-92%). The actual VBAC rate was 71.7%. The calibration plot shows some overestimation for low probabilities of VBAC and an underestimation of high probabilities. CONCLUSIONS: The prediction model showed good performance and was externally validated in a Dutch population. Hence it can be implemented as part of counselling for mode of delivery in women choosing between intended VBAC or planned CS after previous CS.


Asunto(s)
Razonamiento Clínico , Técnicas de Apoyo para la Decisión , Parto Obstétrico/métodos , Atención Prenatal/métodos , Parto Vaginal Después de Cesárea , Adulto , Índice de Masa Corporal , Femenino , Humanos , Presentación en Trabajo de Parto , Trabajo de Parto Inducido/métodos , Países Bajos/epidemiología , Embarazo , Embarazo de Alto Riesgo , Pronóstico , Ajuste de Riesgo/métodos , Esfuerzo de Parto , Parto Vaginal Después de Cesárea/efectos adversos , Parto Vaginal Después de Cesárea/métodos , Parto Vaginal Después de Cesárea/estadística & datos numéricos
2.
Acta Obstet Gynecol Scand ; 96(2): 158-165, 2017 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-27861697

RESUMEN

INTRODUCTION: Large practice variation exists in mode of delivery after cesarean section, suggesting variation in implementation of contemporary guidelines. We aim to evaluate this practice variation and to what extent this can be explained by risk factors at patient level. MATERIAL AND METHODS: This retrospective cohort study was performed among 17 Dutch hospitals in 2010. Women with one prior cesarean section without a contraindication for a trial of labor were included. We used multivariate logistic regression analysis to develop models for risk factor adjustments. One model was derived to adjust the elective repeat cesarean section rates; a second model to adjust vaginal birth after cesarean rates. Standardized rates of elective repeat cesarean section and vaginal birth after cesarean per hospital were compared. Pseudo-R2 measures were calculated to estimate the percentage of practice variation explained by the models. Secondary outcomes were differences in practice variation between hospital types and the correlation between standardized elective repeat cesarean section and vaginal birth after cesarean rates. RESULTS: In all, 1068 women had a history of cesarean section, of whom 71% were eligible for inclusion. A total of 515 women (67%) had a trial of labor, of whom 72% delivered vaginally. The elective repeat cesarean section rate at hospital level ranged from 6 to 54% (mean 29.8, standard deviation 11.8%). Vaginal birth after cesarean rates ranged from 50 to 90% (mean 71.8%, standard deviation 11.1%). More than 85% of this practice variation could not be explained by risk factors at patient level. CONCLUSION: A large practice variation exists in elective repeat cesarean section and vaginal birth after cesarean rates that can only partially be explained by risk factors at patient level.


Asunto(s)
Cesárea Repetida/estadística & datos numéricos , Parto Vaginal Después de Cesárea/estadística & datos numéricos , Adulto , Estudios de Cohortes , Femenino , Hospitales/estadística & datos numéricos , Humanos , Análisis Multivariante , Países Bajos/epidemiología , Pautas de la Práctica en Medicina/estadística & datos numéricos , Embarazo , Estudios Retrospectivos , Factores de Riesgo , Esfuerzo de Parto
3.
Implement Sci ; 8: 3, 2013 Jan 03.
Artículo en Inglés | MEDLINE | ID: mdl-23281646

RESUMEN

BACKGROUND: Caesarean section (CS) rates are rising worldwide. In the Netherlands, the most significant rise is observed in healthy women with a singleton in vertex position between 37 and 42 weeks gestation, whereas it is doubtful whether an improved outcome for the mother or her child was obtained. It can be hypothesized that evidence-based guidelines on CS are not implemented sufficiently. Therefore, the present study has the following objectives: to develop quality indicators on the decision to perform a CS based on key recommendations from national and international guidelines; to use the quality indicators in order to gain insight into actual adherence of Dutch gynaecologists to guideline recommendations on the performance of a CS; to explore barriers and facilitators that have a direct effect on guideline application regarding CS; and to develop, execute, and evaluate a strategy in order to reduce the CS incidence for a similar neonatal outcome (based on the information gathered in the second and third objectives). METHODS: An independent expert panel of Dutch gynaecologists and midwives will develop a set of quality indicators on the decision to perform a CS. These indicators will be used to measure current care in 20 hospitals with a population of 1,000 women who delivered by CS, and a random selection of 1,000 women who delivered vaginally in the same period. Furthermore, by interviewing healthcare professionals and patients, the barriers and facilitators that may influence the decision to perform a CS will be measured. Based on the results, a tailor-made implementation strategy will be developed and tested in a controlled before-and-after study in 12 hospitals (six intervention, six control hospitals) with regard to effectiveness, experiences, and costs. DISCUSSION: This study will offer insight into the current CS care and into the hindering and facilitating factors influencing obstetrical policy on CS. Furthermore, it will allow definition of patient categories or situations in which a tailor-made implementation strategy will most likely be meaningful and cost effective, without negatively affecting the outcome for mother and child. TRIAL REGISTRATION: http://www.clinicaltrials.gov: NCT01261676.


Asunto(s)
Cesárea/estadística & datos numéricos , Adhesión a Directriz/normas , Guías de Práctica Clínica como Asunto , Complicaciones del Embarazo/cirugía , Cesárea/economía , Protocolos Clínicos , Costos y Análisis de Costo , Toma de Decisiones , Medicina Basada en la Evidencia , Femenino , Ginecología/economía , Ginecología/normas , Hospitalización/economía , Hospitalización/estadística & datos numéricos , Humanos , Países Bajos , Evaluación de Resultado en la Atención de Salud , Pautas de la Práctica en Medicina/economía , Pautas de la Práctica en Medicina/normas , Embarazo , Complicaciones del Embarazo/economía , Atención Prenatal/economía , Atención Prenatal/normas , Indicadores de Calidad de la Atención de Salud , Procedimientos Innecesarios/estadística & datos numéricos
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