Evidence map›Paper›PMID 24360642›Full record

ArticleAmerican journal of infection control2014

Hospital and provider patient volumes, cesarean section rates, and early postpartum invasive methicillin-resistant Staphylococcus aureus infection.

Andrea M Parriott, Joelle M Brown, Onyebuchi A Arah

Abstract read
In one paragraph

Article in American journal of infection control, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andrea M ParriottDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA. Electronic address: aparriott@ucla.edu.
Joelle M BrownDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Onyebuchi A ArahDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.

Funding

UCLA/RAND HEALTH SERVICES RESEARCH TRAINING PROGRAMT32HS000046 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EISENBERG, DANIEL · 1992 to 2024
$8.7M
AHRQ HHS T32 HS000046
6 · The paper itself

Abstract

objectiveWe sought to examine whether hospital and provider volumes and cesarean section rates influenced early postpartum invasive methicillin-resistant Staphylococcus aureus (MRSA) infection.

methodsWe used data from the Nationwide Inpatient Sample, a representative sample of US community hospitals. Multivariate hierarchical regression models were used to estimate odds ratios adjusted for hospital total discharges, nurse:patient ratio, urbanicity, teaching status, bed size, ownership, and geographic region and patient age, race, expected payer, and comorbidities.

resultsThe total sample size for the hospital analysis was 3,487,350 deliveries, which included 555 cases of MRSA infection. The total sample size for the provider analysis was 1,186,703 deliveries, with 221 cases of MRSA infection. Hospital and provider patient (deliveries) volumes and cesarean section rates were not associated with early postpartum invasive MRSA infection.

conclusionsBarring major bias in our estimates, our results suggest that transmission from providers may not be a predominant route of postpartum MRSA infection in US hospitals.

Indexed as

Hospitals, High-VolumeHospitals, Low-VolumePostpartum PeriodAdultCesarean SectionFemaleHospitals, CommunityHumansInfant, NewbornMethicillin-Resistant Staphylococcus aureusPregnancyStaphylococcal InfectionsStaphylococcus aureusUnited StatesDrug resistanceHospital statisticsNumerical dataObstetricsPuerperal infectionStaphylococcal infections

Identifiers

PMID24360642
PMCPMC5600614

What OpenQuestion holds

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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.