Danielle R Gartner1, Paul L Delamater2,3,4, Robert A Hummer2,5, Jennifer L Lund4,6, Brian W Pence6, Whitney R Robinson2,4,6. 1. Department of Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA. 2. Carolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA. 3. Department of Geography, College of Arts and Sciences, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA. 4. Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA. 5. Department of Sociology, College of Arts and Sciences, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA. 6. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina, USA.
Abstract
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 similarly so for black and white women (LISA, P < .005). The black-white difference in hysterectomy rates was the largest in the high economic tier counties (22/10 000 person-years [PY], P < .05) and smallest in the mid and low economic tier counties (11/10 000 PY, 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.
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 similarly so for black and white women (LISA, P < .005). The black-white difference in hysterectomy rates was the largest in the high economic tier counties (22/10 000 person-years [PY], P < .05) and smallest in the mid and low economic tier counties (11/10 000 PY, 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.
Authors: Siobán D Harlow; Sherri-Ann M Burnett-Bowie; Gail A Greendale; Nancy E Avis; Alexis N Reeves; Thomas R Richards; Tené T Lewis Journal: Womens Midlife Health Date: 2022-02-08
Authors: Danielle R Gartner; Paul L Delamater; Robert A Hummer; Jennifer L Lund; Brian W Pence; Whitney R Robinson Journal: Health Serv Res Date: 2021-02-21 Impact factor: 3.734