Evidence map›Paper›PMID 35710376›Full record

Observational studyBMC pregnancy and childbirth2022

Racial-ethnic disparities in potentially preventable complications after cesarean delivery in Maryland: an observational cohort study.

Allison Lankford, Laura Roland, Christopher Jackson, Jonathan Chow, Ryan Keneally, Amanda Jackson, Rundell Douglas, Jeffrey Berger, Michael Mazzeffi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2022. 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
–field-weighted citation impact, top 91% of its field
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, 0 citations in OpenAlex.

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

9 authors at 3 institutions in 2 countries.

Allison LankfordDepartment of Obstetrics and Gynecology, University of Maryland School of Medicine, Baltimore, MD, USA.
Laura RolandDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA.
Christopher JacksonDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA.
Jonathan ChowDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA.
Ryan KeneallyDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA.
Amanda JacksonDepartment of Obstetrics and Gynecology, Walter Reed National Medical Center, Bethesda, MD, USA.
Rundell DouglasGeorge Washington University Milken Institute School of Public Health, Washington DC, USA.
Jeffrey BergerDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA.
Michael MazzeffiDepartment of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington DC, 20037, USA. mimazzeffi@mfa.gwu.edu.
George Washington University · USUniversity of Maryland, Baltimore · USWalter Reed National Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotentially preventable complications are monitored as part of the Maryland Hospital Acquired Conditions Program and are used to adjust hospital reimbursement. Few studies have evaluated racial-ethnic disparities in potentially preventable complications. Our study objective was to explore whether racial-ethnic disparities in potentially preventable complications after Cesarean delivery exist in Maryland.

methodsWe performed a retrospective observational cohort study using data from the Maryland Health Services Cost Review Commission database. All patients having Cesarean delivery, who had race-ethnicity data between fiscal years 2016 and 2020 were included. Multivariable logistic regression modeling was performed to estimate risk-adjusted odds of having a potentially preventable complication in patients of different race-ethnicity.

resultsThere were 101,608 patients who had Cesarean delivery in 33 hospitals during the study period and met study inclusion criteria. Among them, 1,772 patients (1.7%), experienced at least one potentially preventable complication. Patients who had a potentially preventable complication were older, had higher admission severity of illness, and had more government insurance. They also had more chronic hypertension and pre-eclampsia (both P<0.001). Median length of hospital stay was longer in patients who had a potentially preventable complications (4 days vs. 3 days, P<0.001) and median hospital charges were approximately $4,600 dollars higher, (P<0.001). The odds of having a potential preventable complication differed significantly by race-ethnicity group (P=0.05). Hispanic patients and Non-Hispanic Black patients had higher risk-adjusted odds of having a potentially preventable complication compared to Non-Hispanic White patients, OR=1.26 (95% CI=1.05 to 1.52) and OR=1.17 (95% CI=1.03 to 1.33) respectively.

conclusionsIn Maryland a small percentage of patients undergoing Cesarean delivery experienced a potentially preventable complication with Hispanic and Non-Hispanic Black patients disproportionately impacted. Continued efforts are needed to reduce potentially preventable complications and obstetric disparities in Maryland.

Indexed as

EthnicityHealthcare DisparitiesCohort StudiesFemaleHumansMarylandPregnancyRetrospective StudiesUnited StatesCesarean deliveryDisparitiesHealthcare qualityObstetrics

Identifiers

PMID35710376
PMCPMC9204962
OpenAlexW4282966283

What OpenQuestion holds

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LicenceCC BY
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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.