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Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?

Publication ,  Journal Article
Gartner, DR; Delamater, PL; Hummer, RA; Lund, JL; Pence, BW; Robinson, WR
Published in: Epidemiology
May 2020

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.

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Published In

Epidemiology

DOI

EISSN

1531-5487

Publication Date

May 2020

Volume

31

Issue

3

Start / End Page

385 / 392

Location

United States

Related Subject Headings

  • Young Adult
  • Risk
  • North Carolina
  • Hysterectomy
  • Humans
  • Healthcare Disparities
  • Female
  • Ethnicity
  • Epidemiology
  • Behavioral Risk Factor Surveillance System
 

Citation

APA
Chicago
ICMJE
MLA
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Gartner, D. R., Delamater, P. L., Hummer, R. A., Lund, J. L., Pence, B. W., & Robinson, W. R. (2020). Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk? Epidemiology, 31(3), 385–392. https://doi.org/10.1097/EDE.0000000000001171
Gartner, Danielle R., Paul L. Delamater, Robert A. Hummer, Jennifer L. Lund, Brian W. Pence, and Whitney R. Robinson. “Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?Epidemiology 31, no. 3 (May 2020): 385–92. https://doi.org/10.1097/EDE.0000000000001171.
Gartner DR, Delamater PL, Hummer RA, Lund JL, Pence BW, Robinson WR. Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk? Epidemiology. 2020 May;31(3):385–92.
Gartner, Danielle R., et al. “Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?Epidemiology, vol. 31, no. 3, May 2020, pp. 385–92. Pubmed, doi:10.1097/EDE.0000000000001171.
Gartner DR, Delamater PL, Hummer RA, Lund JL, Pence BW, Robinson WR. Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk? Epidemiology. 2020 May;31(3):385–392.

Published In

Epidemiology

DOI

EISSN

1531-5487

Publication Date

May 2020

Volume

31

Issue

3

Start / End Page

385 / 392

Location

United States

Related Subject Headings

  • Young Adult
  • Risk
  • North Carolina
  • Hysterectomy
  • Humans
  • Healthcare Disparities
  • Female
  • Ethnicity
  • Epidemiology
  • Behavioral Risk Factor Surveillance System