Evidence map›Paper›PMID 40831400›Full record

ArticleJournal of women's health (2002)2026

The Role of Self-Classified Race/Ethnicity, Insurance Status, and Hospital Type in Benign Hysterectomy.

Maya A Wright, Alan C Kinlaw, Asha B McClurg, Erin Carey, Kemi M Doll, Anissa I Vines, Andrew F Olshan, Whitney R Robinson

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2026. 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
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

8 authors.

Maya A WrightDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4974-2596
Alan C KinlawThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina, USA.
Asha B McClurgDepartment of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Erin CareyDepartment of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kemi M DollDepartment of Obstetrics and Gynecology, University of Washington School of Medicine, Seattle, Washington, USA.
Anissa I VinesDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Andrew F OlshanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Whitney R RobinsonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Racial Differences in Treatment with Hysterectomy: a Multilevel InvestigationR01MD011680 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBINSON, WHITNEY RAGAN · 2017 to 2021
$3.3M
AHRQ HHS T32 HS000032NCATS NIH HHS UL1 TR002489NIMHD NIH HHS R01 MD011680
6 · The paper itself

Abstract

objectiveTo explore the associations of self-classified race/ethnicity, insurance status, and hospital type with updated appropriateness ratings of hysterectomy among premenopausal patients. STUDY

designThe study population consisted of patients 18-44 years of age who received a hysterectomy for benign and non-obstetric gynecological conditions between October 2014 and December 2017. Structured and unstructured data were abstracted from electronic medical records (EMR). We estimated weighted prevalence differences (PD

resultsAmong the 1,613 hysterectomies analyzed, 26.5% received an inappropriate rating, 15.8% an ambiguous rating, and 57.7% an appropriate rating. Patients with Medicaid had 17.2% (95% CI = -22.3%, -12.1%) lower prevalence of inappropriate ratings compared with patients with private insurance. Surgeries at non-academic medical centers had 20.4% (95% CI = 17.0%, 23.8%) higher prevalence of inappropriate ratings compared with surgeries at academic medical centers. In sensitivity analyses, among surgeries with ≥2 preoperative notes from the primary surgeon, the prevalence of an inappropriate rating was similar between non-academic and academic medical centers (PD

conclusionsAssociations between insurance status, hospital type, and inappropriate rating may be partially explained by EMR completeness. EMR completeness, provider documentation, and data management are important determinants of equitable clinical care. Additional research to improve assessment of appropriate hysterectomy care and efforts to improve EMR completeness are important next steps in gynecological research.

Indexed as

EthnicityHospitalsHysterectomyInsurance CoverageInsurance, HealthRacial GroupsAdolescentAdultBlack or African AmericanElectronic Health RecordsFemaleHispanic or LatinoHumansMedicaidUnited StatesWhiteappropriatenessbenign hysterectomycomputable phenotypeelectronic medical recordsgynecologic carehealth disparitiesinformaticsmissing datawomen’s health

Identifiers

PMID40831400
PMCPMC12947961

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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.