Evidence map›Paper›PMID 9673465›Full record

ArticleEthnicity & health

Caesarean section rates in South Africa: evidence of bias among different 'population groups'.

K P Matshidze, L M Richter, G T Ellison, J B Levin, J A McIntyre

Abstract read
In one paragraph

Article in Ethnicity & health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. A systematic review and meta-analysis of studies comparing mortality rates of private for-profit and private not-for-profit hospitals.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2002
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

K P MatshidzeCentre for Epidemiological Research in Southern Africa, Medical Research Council, Pretoria, South Africa.
L M Richter
G T Ellison
J B Levin
J A McIntyre

Funding

Wellcome Trust 068599
6 · The paper itself

Abstract

objectiveThe aim of this study was to assess the effect of 'population group' classification, as a specific instance of 'racial' categorization, on caesarean section rates in South Africa.

designInformation on 'population group' classification ('Black, 'Coloured', 'Indian', or 'White', as defined under apartheid legislation) and place of delivery, together with basic obstetric, sociodemographic and perinatal data, were extracted from the birth notification forms of 5456 children who made up the birth cohort of the Birth to Ten longitudinal study. This cohort included all births that occurred to mothers resident in Soweto-Johannesburg during a 7-week period in 1990.

resultsAfter accounting for differences in maternal age, gravidity, birth weight and gestational age at delivery, the rate of caesarean sections at private facilities was more than twice that at public facilities. Although there were significant differences in the utilisation of private facilities by women from different 'population groups', there was an independent effect of 'population group' classification on caesarean section rates: caesarean section rates among women classified as 'White' and 'Coloured' were significantly higher (95% confidence intervals for odds ratios: 1.40-2.42 and 1.05-1.81, respectively) than among women classified as 'Black'.

conclusion'Population group' differences in caesarean section rates among South African women are not explained by differences in demographic risk factors for assisted delivery, nor by differences in access to private health care. Instead, the differences in section rates may reflect the effect of bias in clinical decision-making, and/or differences among women from different 'population groups' in their attitude towards assisted delivery, and their capacity to negotiate with clinicians.

Indexed as

EthnicityAdultBirth WeightCesarean SectionCohort StudiesFemaleGestational AgeHumansLogistic ModelsMaternal AgeParitySouth Africa

Identifiers

PMID9673465
PMCPMC1876943

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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.