Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?
Epidemiology
; 31(3): 385-392, 2020 05.
Article
en En
| MEDLINE
| ID: mdl-32251065
ABSTRACT
BACKGROUND:
Inequalities by race and ethnicity in hysterectomy for noncancerous conditions suggest that some subgroups may be shouldering an unfair burden of procedure-associated negative health impacts. We aimed to estimate race- and ethnicity-specific rates in contemporary hysterectomy incidence that address three challenges in the literature exclusion of outpatient procedures, no hysterectomy prevalence adjustment, and paucity of non-White and non-Black estimates.METHODS:
We used surveillance data capturing all inpatient and outpatient hysterectomy procedures performed in North Carolina from 2011 to 2014 (N = 30,429). Integrating data from the Behavior Risk Factor Surveillance System and US Census population estimates, we calculated prevalence-corrected hysterectomy incidence rates and differences by race and ethnicity.RESULTS:
Prevalence-corrected estimates show that non-Hispanic (nH) Blacks (62, 95% confidence interval [CI] = 61, 63) and nH American Indians (85, 95% CI = 79, 93) per 10,000 person-years (PY) had higher rates, compared with nH Whites (45 [95% CI = 45, 46] per 10,000 PY), while Hispanic (20, 95% CI = 20, 21) and nH Asian/Pacific Islander rates (8, 95% CI = 8.0, 8.2) per 10,000 PY were lower than nH Whites.CONCLUSION:
Through strategic surveillance data use and application of bias correction methods, we demonstrate wide differences in hysterectomy incidence by race and ethnicity. See video abstract at, http//links.lww.com/EDE/B657.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Etnicidad
/
Disparidades en Atención de Salud
/
Histerectomía
Tipo de estudio:
Etiology_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Adolescent
/
Adult
/
Female
/
Humans
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Epidemiology
Asunto de la revista:
EPIDEMIOLOGIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Nueva Caledonia