Evidence map›Paper›PMID 23526952›Full record

ArticlePloS one2013

Hospital differences in cesarean deliveries in Massachusetts (US) 2004-2006: the case against case-mix artifact.

Isabel A Cáceres, Mariana Arcaya, Eugene Declercq, Candice M Belanoff, Vanitha Janakiraman, Bruce Cohen, Jeffrey Ecker, Lauren A Smith, S V Subramanian

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

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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

9 authors.

Isabel A CáceresBureau of Health Information, Statistics, Research, and Evaluation, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Mariana Arcaya
Eugene Declercq
Candice M Belanoff
Vanitha Janakiraman
Bruce Cohen
Jeffrey Ecker
Lauren A Smith
S V Subramanian

Funding

Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
Asthma Disparities: Advancing Multilevel Causal ModelsK25HL081275 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUBRAMANIAN, SANKARAN VENKATA · 2005 to 2009
$717k
NCI NIH HHS 3R25CA057711-18S1NCI NIH HHS R25 CA057711NHLBI NIH HHS K25 HL081275ODCDC CDC HHS 200-2009-31671CDC
6 · The paper itself

Abstract

objectiveWe examined the extent to which differences in hospital-level cesarean delivery rates in Massachusetts were attributable to hospital-level, rather than maternal, characteristics.

methodsBirth certificate and maternal in-patient hospital discharge records for 2004-06 in Massachusetts were linked. The study population was nulliparous, term, singleton, and vertex births (NTSV) (n = 80,371) in 49 hospitals. Covariates included mother's age, race/ethnicity, education, infant birth weight, gestational age, labor induction (yes/no), hospital shift at time of birth, and preexisting health conditions. We estimated multilevel logistic regression models to assess the likelihood of a cesarean delivery.

resultsOverall, among women with NTSV births, 26.5% births were cesarean, with a range of 14% to 38.3% across hospitals. In unadjusted models, the between-hospital variance was 0.103 (SE 0.022); adjusting for demographic, socioeconomic and preexisting medical conditions did not reduce any hospital-level variation 0.108 (SE 0.023).

conclusionEven after adjusting for both socio-demographic and clinical factors, the chance of a cesarean delivery for NTSV pregnancies varied according to hospital, suggesting the importance of hospital practices and culture in determining a hospital's cesarean rate.

Indexed as

AdultArtifactsCesarean SectionDatabases, FactualDiagnosis-Related GroupsFemaleHospitalsHumansInfant, NewbornLogistic ModelsMassachusettsPregnancy

Identifiers

PMID23526952
PMCPMC3601117

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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.