Dataset Information

Screening for inter-hospital differences in cesarean section rates in low-risk deliveries using administrative data: an initiative to improve the quality of care.

ABSTRACT:

Background

Rising national cesarean section rates (CSRs) and unexplained inter-hospital differences in CSRs, led national and international bodies to select CSR as a quality indicator. Using hospital discharge abstracts, we aimed to document in Belgium (1) inter-hospital differences in CSRs among low risk deliveries, (2) a national upward CSR trend, (3) lack of better neonatal outcomes in hospitals with high CSRs, and (4) possible under-use of CS.

Methods

We defined a population of low risk deliveries (singleton, vertex, full-term, live born, <4500 g, >2499 g). Using multivariable logistic regression techniques, we provided degrees of evidence regarding the observed departure ([relative risk-1]*100) of each hospital (N = 107) from the national CSR and its trend. To determine a benchmark, we defined three CSR groups (high, average and low) and compared them regarding 1 minute Apgar scores and other neonatal endpoints. An anonymous feedback is provided to the hospitals, the College of Physicians (with voluntary disclosure of the outlying hospitals for quality improvement purposes) and to the policy makers.

Results

Compared with available information, the completeness and accuracy of the data, regarding the variables selected to determine our study population, showed adequate. Important inter-hospital differences were found. Departures ranged from -65% up to +75%, and 9 "high CSR" and 13 "low CSR" outlying hospitals were identified. We observed a national increasing trend of 1.019 (95%CI [1.015; 1.022]) per semester, adjusted for age groups. In the "high CSR" group 1 minute Apgar scores <4 were over-represented in the subgroup of vaginal deliveries, suggesting CSs not carried out for medical reasons. Under-use of CS was also observed. Given their questionable completeness, except Apgar scores, our neonatal results, showing a significant association of CS with adverse neonatal endpoints, are to be cautiously interpreted. Taking the available evidence into account, the "Average CSR" group seemed to be the best benchmark candidate.

Conclusion

Rather than firm statements about quality of care, our results are to be considered a useful screening. The inter-hospital differences in CSR, the national CS upward trend, the indications of over-use and under-use, the geographically different obstetric patterns and the admission day-related concentration of deliveries, whether or not by CS, may trigger initiatives aiming at improving quality of care.

SUBMITTER: Aelvoet W

PROVIDER: S-EPMC2266728 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature

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Publications

Screening for inter-hospital differences in cesarean section rates in low-risk deliveries using administrative data: an initiative to improve the quality of care.

Aelvoet Willem W Windey Francis F Molenberghs Geert G Verstraelen Hans H Van Reempts Patrick P Foidart Jean-Michel JM

BMC health services research 20080104

<h4>Background</h4>Rising national cesarean section rates (CSRs) and unexplained inter-hospital differences in CSRs, led national and international bodies to select CSR as a quality indicator. Using hospital discharge abstracts, we aimed to document in Belgium (1) inter-hospital differences in CSRs among low risk deliveries, (2) a national upward CSR trend, (3) lack of better neonatal outcomes in hospitals with high CSRs, and (4) possible under-use of CS.<h4>Methods</h4>We defined a population o ...[more]

PMID: 18177493

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Project description:BackgroundCesarean section rates is often used as an indicator of quality of care in maternity hospitals. The assumption is that lower rates reflect in developed countries more appropriate clinical practice and general better performances. Hospitals are thus often ranked on the basis of caesarean section rates. The aim of this study is to assess whether the adjustment for clinical and sociodemographic variables of the mother and the fetus is necessary for inter-hospital comparisons of cesarean section (c-section) rates and to assess whether a risk adjustment model based on a limited number of variables could be identified and used.MethodsDischarge abstracts of labouring women without prior cesarean were linked with abstracts of newborns discharged from 29 hospitals of the Emilia-Romagna Region (Italy) from 2003 to 2004. Adjusted ORs of cesarean by hospital were estimated by using two logistic regression models: 1) a full model including the potential confounders selected by a backward procedure; 2) a parsimonious model including only actual confounders identified by the "change-in-estimate" procedure. Hospital rankings, based on ORs were examined.Results24 risk factors for c-section were included in the full model and 7 (marital status, maternal age, infant weight, fetopelvic disproportion, eclampsia or pre-eclampsia, placenta previa/abruptio placentae, malposition/malpresentation) in the parsimonious model. Hospital ranking using the adjusted ORs from both models was different from that obtained using the crude ORs. The correlation between the rankings of the two models was 0.92. The crude ORs were smaller than ORs adjusted by both models, with the parsimonious ones producing more precise estimates.ConclusionRisk adjustment is necessary to compare hospital c-section rates, it shows differences in rankings and highlights inappropriateness of some hospitals. By adjusting for only actual confounders valid and more precise estimates could be obtained.

Project description:Background: Cesarean section (CS) is a major component of emergency obstetric care. There has been a substantial rise in the rate of CS in private institutions in Nepal which might reflect the successful implementation of delivery schemes introduced by the government extended to the private organizations alternatively, it may also reflect the need for more public health care facilities to provide maternal and child health care services. Hence, the objective of this study was to examine the trends in institutional-based CS rates in Nepal along with its correlates over time.Methods: We used the National Demographic and Health Survey (NDHS) data collected every 5 years, from 1996 to 2016. The trend in CS rates based on five waves of NDHS data along with its correlates were examined using multivariable logistic regression models after adjusting for socio-demographics and pregnancy-related variables.Results: We included 20,824 reproductive-aged women who had a history of delivery within the past 5 years. The population-based CS rate increased from 0.9% in 1996 [95% CI: (0.6-1.2) %] to 10.2% in 2016 [95% CI: (8.9-11.6) %, p?<?0.01] whereas the institutional-based CS rate increased from 10.4% in 1996 [95% CI: (8.3-12.9) %] to 16.4% in 2016 [95% CI: (14.5-18.5) %, p?<?0.01]. Private institutions had a nearly 3-fold increase in CS rate (8.9% in 1996 [95% CI: (4.8-16.0) %] vs. 26.3% in 2016[95% CI: (21.9-31.3) %]. This was also evident in the trend analysis where the odds of having CS was 3.58 times higher [95% CI: (1.83-7.00), p?< 0.01] in 2016 than in 1996 in the private sectors, while there was no evidence of an increase in public hospitals (10.9% in 1996 to 12.9% in 2016; p for trend?>?0.05). Education of women, residence, wealth index, parity and place of delivery were significantly associated with the CS rate.Conclusion: Nepal has observed a substantial increase in cesarean delivery over the 20?years, which might indicate a successful implementation of the safe motherhood program in addressing the Millennium Development Goals and Universal Health Care agenda on maternal and child health. However, the Nepal government should examine existing disparities in accessibility of emergency obstetric care services, such as differences in CS between public and private sectors, and promote equity in maternal and child health care services accessibility and utilization.

Project description:ObjectiveTrial of labor after cesarean delivery has been mostly studied in the setting of one prior cesarean delivery; controversy remains regarding the risks and benefits of trial of labor for women with two prior cesarean deliveries. This study aimed to examine utilization, success rate, and maternal and neonatal outcomes of trial of labor in this population.MethodsUsing linked hospital discharge and birth certificate data, we retrospectively analyzed a cohort of mothers with nonanomalous, term, singleton live births in California between 2010-2012 and had two prior cesarean deliveries and no clear contraindications for trial of labor. We measured whether they attempted labor and, if so, whether they delivered vaginally. Association of patient and hospital characteristics with the likelihood of attempting labor and successful vaginal birth was examined using multivariable regressions. We compared composite severe maternal morbidities and composite severe newborn complications in those who underwent trial of labor as opposed to planned cesarean delivery using a propensity score-matching approach.ResultsAmong 42,771 women who met sample eligibility criteria, 1,228 (2.9%) attempted labor, of whom 484 (39.4%) delivered vaginally. There was no significant difference in the risk of composite severe maternal morbidities, but there was a modest increase in the risk of composite severe newborn complications among women who attempted labor compared with those who did not (2.0% vs 1.4%, P=.04). After accounting for differences in patient and hospital characteristics, propensity score-matched analysis showed no significant association between trial of labor and the risk of composite severe maternal morbidities (odds ratio [OR] 1.16, 95% CI 0.70-1.91), but trial of labor was associated with a higher risk for the composite of severe newborn complications (OR 1.78, 95% CI 1.04-3.04).ConclusionAmong women with two prior cesarean deliveries, trial of labor was rarely attempted and was successful in 39.4% of attempts. Trial of labor in this population was associated with a modest increase in severe neonatal morbidity.

Project description:Rising caesarean section (CS) rates have been observed worldwide in recent decades. This study sought to analyse trends in CS rates and outcomes among a variety of obstetric groups at a university hospital in a low-income country.We conducted a hospital-based panel study at Muhimbili National Hospital, Dar es Salaam, Tanzania. All deliveries between 2000 and 2011 with gestational age???28 weeks were included in the study. The 12 years were divided into four periods: 2000 to 2002, 2003 to 2005, 2006 to 2008, and 2009 to 2011. Main outcome measures included CS rate, relative size of obstetric groups, contribution to overall CS rate, perinatal mortality ratio, neonatal distress, and maternal mortality ratio. Time trends were analysed within the ten Robson groups, based on maternal and obstetric characteristics. We applied the ?2 test for trend to determine whether changes were statistically significant. Odds ratios of CS were evaluated using multivariate logistic regression, accounting for maternal age, referral status, and private healthcare insurance.We included 137,094 deliveries. The total CS rate rose from 19% to 49%, involving nine out of ten groups. Multipara without previous CS with single, cephalic pregnancies in spontaneous labour had a CS rate of 33% in 2009 to 2011. Adjusted analysis explained some of the increase. Perinatal mortality and neonatal distress decreased in multiple pregnancies (p?<?0.001 and p?=?0.003) and nullipara with breech pregnancies (p?<?0.001 and p?=?0.024). Although not statistically significant, there was an increase in perinatal mortality (p?=?0.381) and neonatal distress (p?=?0.171) among multipara with single cephalic pregnancies in spontaneous labour. The maternal mortality ratio increased from 463/100, 000 live births in 2000 to 2002 to 650/100, 000 live births in 2009 to 2011 (p?=?0.031).The high CS rate among low-risk groups suggests that many CSs might have been performed on questionable indications. Such a trend may result in even higher CS rates in the future. While CS can improve perinatal outcomes, it does not necessarily do so if performed routinely in low-risk groups.

Dataset Information

Screening for inter-hospital differences in cesarean section rates in low-risk deliveries using administrative data: an initiative to improve the quality of care.

Background

Methods

Results

Conclusion

Publications

Screening for inter-hospital differences in cesarean section rates in low-risk deliveries using administrative data: an initiative to improve the quality of care.

Similar Datasets

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