Evidence map›Paper›PMID 37065308›Full record

ArticleCureus2023

Observed Versus Expected Distribution of Patient Self-Reported Race and Ethnicity in Quality Improvement Review Processes at a Single Safety Net Academic Institution.

Delisa Quayson, Meredith Alston, Stefka Fabbri

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 95% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Delisa QuaysonObstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, USA.
Meredith AlstonObstetrics and Gynecology, Saint Joseph Hospital, Intermountain Health, Denver, USA.
Stefka FabbriObstetrics and Gynecology, Denver Health and Hospitals, Denver, USA.
Denver Health Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background While there is a plethora of evidence describing racial and ethnic disparities in obstetric care and outcomes, little has been published evaluating potential inequities in departmental Patient Safety and Quality Improvement (PSQI) processes.  Objective The study aims to describe the distribution of patient-reported race or ethnicity for safety events at a single safety net teaching hospital. We hypothesized that the observed versus expected case distribution for each racial or ethnic group would be similar, signifying proportional representation in the PSQI reporting and review process.  Study design We performed a cross-sectional study including all Safety Intelligence (SI) events filed on obstetric and gynecologic patients and all cases reviewed at monthly PSQI multidisciplinary departmental meetings from May 2016 to December 2021. We compared the distribution of patients' self-reported race or ethnicity as documented in the medical record to our patient population's expected race or ethnicity distribution based on historical institutional data. Results Two thousand and five SI events were filed on obstetric and gynecologic patients. Of those, 411 cases were selected for review by the departmental multidisciplinary PSQI committee, which meets once monthly. Of the 411 cases reviewed by the PSQI committee, 132 met Severe Maternal Morbidity (SMM) criteria defined by the American College of Obstetricians and Gynecologists (ACOG). Fewer SI reports were filed on Asian patients and those who declined to provide race or ethnicity (observed 4.3% versus expected 5.5%, p=0.0088 and 2.9% versus expected 1%, p<0.0001, respectively). For cases reviewed by the departmental PSQI committee and for those which met SMM criteria, there was no significant difference in race/ethnicity distribution. Conclusions There was a disparity between fewer safety events filed for Asian patients and those not reporting race/ethnicity. It was reassuring that our process did not identify other racial/ethnic disparities. However, given the widespread systemic inequities in healthcare, further evaluation of our PSQI process, and PSQI processes beyond our institution, is needed.

Indexed as

health disparityhealth equityhealth inequitymaternal ethnicitymaternal racepatient safety and quality improvementsafety intelligencesevere maternal morbidity

Identifiers

PMID37065308
PMCPMC10096802
OpenAlexW4324028342

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.