Patterns of black and white hysterectomy incidence among reproductive aged women
Autor: | Whitney R. Robinson, Paul L. Delamater, Danielle R. Gartner, Brian W. Pence, Robert A. Hummer, Jennifer L. Lund |
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Rok vydání: | 2021 |
Předmět: |
Adult
Adolescent Social Determinants of Health medicine.medical_treatment Context (language use) Hysterectomy White People Young Adult 03 medical and health sciences 0302 clinical medicine Humans Medicine 030212 general & internal medicine Socioeconomic status Spatial Analysis White (horse) Hysterectomy procedure business.industry 030503 health policy & services Health Policy Incidence (epidemiology) United States Black or African American Socioeconomic Factors Economic context Female 0305 other medical science business Demography |
Zdroj: | Health Serv Res |
ISSN: | 1475-6773 0017-9124 |
DOI: | 10.1111/1475-6773.13633 |
Popis: | OBJECTIVE: To investigate the intersection of race and economic context in treatment with hysterectomy among reproductive aged women with noncancerous gynecologic conditions. DATA SOURCES: We combined administrative billing records of inpatient and outpatient hysterectomy procedures (N = 28 301) occurring in North Carolina between 2011 and 2014 with census data to calculate county‐level hysterectomy rates. STUDY DESIGN: Spatial analysis techniques examined the distribution of black and white hysterectomy rates across counties, and county‐level black and white rate differences were compared across economic contexts. DATA COLLECTION/EXTRACTION: We restricted to those of premenopausal age identifying as non‐Hispanic black or white, undergoing hysterectomy for nonemergent causes (N = 28 301 procedures). PRINCIPAL FINDINGS: County‐level hysterectomy rates were spatially patterned (Moran's I, P .05 and 10/10 000 PY, P > .05, respectively). CONCLUSION: Socioeconomic context is important to understand, particularly for black‐white disparities in hysterectomy. Efforts should be made to understand the causes of higher rates of hysterectomy among blacks than whites, especially in counties in the highest economic tier. |
Databáze: | OpenAIRE |
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