ArticleJournal of racial and ethnic health disparities2018
Racial and Socioeconomic Disparities in Hysterectomy Route for Benign Conditions.
Article in Journal of racial and ethnic health disparities, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Health Care Disparities in Patients Undergoing Hysterectomy for Benign Indications: A Systematic Review.Obstetrics and gynecology · 2023Pooled it
- Racial Disparities in Minimally Invasive Benign Hysterectomy.JSLS : Journal of the Society of Laparoendoscopic SurgeonsPooled it
- BRCA1 and BRCA2 carriers: Perceptions of endometrial cancer risk.Gynecologic oncology · 2026Article
- Important Differences in Disease Severity, Echocardiography Findings, and Referral Delays in Non-Hispanic Black Patients With Pulmonary Arterial Hypertension.Pulmonary circulation · 2025Article
- Qualitative Interview Study of Gynecologic Oncologist Utilization of Recommended Same-Day Discharge Following Minimally Invasive Hysterectomy.Journal of personalized medicine · 2022Article
- Association of demographic, clinical, and hospital-related factors with use of robotic hysterectomy for benign indications: A national database study.The international journal of medical robotics + computer assisted surgery : MRCAS · 2020Article
- Endometrial cancer outcomes among non-Hispanic US born and Caribbean born black women.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2019Article
- Examining Disparities in Route of Surgery and Postoperative Complications in Black Race and Hysterectomy.Obstetrics and gynecology · 2019Article
- Assessing Perioperative Risk According to Surgical Route in Hysterectomy for Very Large Uteri.JSLS : Journal of the Society of Laparoendoscopic SurgeonsArticle
- Racial/Ethnic Disparities/Differences in Hysterectomy Route in Women Likely Eligible for Minimally Invasive Surgery.Journal of minimally invasive gynecologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this paper was to explore disparities associated with the route of hysterectomy in the University of Pittsburgh Medical Center (UPMC) health system and to evaluate whether the hysterectomy clinical pathway implementation impacted disparities in the utilization of minimally invasive hysterectomy (MIH).
methodsWe performed a retrospective medical record review of all the patients who have undergone hysterectomy for benign indications at UPMC-affiliated hospitals between fiscal years (FY) 2012 and 2014.
resultsA total number of 6373 hysterectomy patient cases were included in this study: 88.7% (5653) were European American (EA), 11.02% (702) were African American (AA), and the remaining 0.28% (18) were of other ethnicities. We found that non-EA, women aged 45-60, traditional Medicaid, and traditional Medicare enrollees were more likely to have a total abdominal hysterectomy (TAH). Residence in higher median income zip code (> $61,000) was associated with 60% lower odds of undergoing TAH. Both FY 2013 and 2014 were associated with significantly lower odds of TAH. Logistic regression results from the model for non-EA patients for FY 2012 and FY 2014 demonstrated that FY and zip code income group were not significant predictors of surgery type in this subgroup. Pathway implementation did not reduce racial disparity in MIH utilization.
conclusionThis study demonstrated that there is a significant disparity in MIH utilization, where non-EA and Medicaid/Medicare recipients had higher odds of undergoing TAH. Further research is needed to investigate how care standardization may alleviate healthcare disparities.
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Registered trials
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.