Evidence map›Paper›PMID 26285692›Full record

ArticleBMC pregnancy and childbirth2015

Variation in hospital caesarean section rates for women with at least one previous caesarean section: a population based cohort study.

Kathrin Schemann, Jillian A Patterson, Tanya A Nippita, Jane B Ford, Christine L Roberts

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Reproductive outcomes in women with prior cesarean section undergoing in vitro fertilization: A retrospective case-control study.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Article
  11. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kathrin SchemannClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney at Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Kathrin.Schemann@sydney.edu.au.
Jillian A PattersonClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney at Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Jillian.Patterson@sydney.edu.au.
Tanya A NippitaClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney at Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Tanya.Nippita@sydney.edu.au.
Jane B FordClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney at Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Jane.Ford@sydney.edu.au.
Christine L RobertsClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney at Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Christine.Roberts@sydney.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternationally, repeat caesarean sections make the largest contribution to overall caesarean section rates and inter-hospital variation has been reported. The aim of this study was to determine if casemix and hospital factors explain variation in hospital rates of repeat caesarean sections and whether these rates are associated with maternal and neonatal morbidity.

methodsThis population-based record linkage study utilised data from New South Wales, Australia between 2007 and 2011. The study population included maternities with any previous caesarean section(s) and were singleton, cephalic and ≥ 37 weeks' gestation (Robson Group 5). Multilevel regression models were used to examine variation in hospital rates of 'planned repeat caesarean section' and, among women who planned a vaginal birth, 'intrapartum caesarean section'. We assessed associations between risk-adjusted hospital rates of planned and intrapartum caesarean sections and rates of casemix adjusted maternal and neonatal morbidity, postpartum haemorrhage and Apgar score <7 at five minutes.

resultsOf 61894 maternities with a previous caesarean section in 81 hospitals, 82.1% resulted in a caesarean section (72.7% planned and 9.4% unplanned intrapartum caesareans) and 17.9% in vaginal birth. Observed hospital rates of planned caesarean sections ranged from 50.7% to 98.4%. Overall 49.0% of between-hospital variation in planned repeat caesarean section rates was explained by patient (17.3%) and hospital factors (31.7%). Increased odds of planned caesarean section were associated with private hospital status and lower hospital propensity for vaginal birth after caesarean. There were no associations between hospital rates of planned repeat caesarean section and adjusted morbidity rates. Among women who intended a vaginal birth, the observed rates of intrapartum caesarean section ranged from 12.9% to 71.9%. In total, 27.5% of between-hospital variation in rates of intrapartum caesarean section was explained by patient (19.5%) and hospital factors (8.0%). The adjusted morbidity rates differed among hospital intrapartum caesarean section rates, but were influenced by a few hospitals with outlying morbidity rates.

conclusionsAmong women with at least one previous caesarean section, less than half of the variation in hospital caesarean section rates was explained by differences in hospital's patient characteristics and practices. Strategies aimed at modifying caesarean section rates for these women should not affect morbidity rates.

Indexed as

AdultApgar ScoreBlood TransfusionCerebral HemorrhageCesarean SectionCesarean Section, RepeatCohort StudiesFemaleHeart ArrestHospitals, PrivateHospitals, PublicHumansInfant, NewbornLogistic ModelsMultilevel AnalysisNew South Wales

Identifiers

PMID26285692
PMCPMC4545707

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.