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. 2017 Apr 4;53(3):1349–1372. doi: 10.1111/1475-6773.12694

Table 3.

Age‐Sex‐Adjusted Potentially Preventable Hospitalization Rates by Hispanics by National Origin

National Origin of Hispanic Population No. of Counties in Which Each National Origin Cohort Had Plurality across Hispanic Cohorts Age‐Sex‐Adjusted Potentially Preventable Hospitalization Rates (#/100,000) [95% Confidence Interval] Incidence Rate Ratio Compared to Whites, Non‐Hispanic [95% Confidence Interval]
Hispanics Blacks, Non‐Hispanic Whites, Non‐Hispanic Hispanics Blacks, Non‐Hispanic
Mexican 717 1,252 2,568 1,201 1.04 [0.97, 1.12] 2.16 [1.89, 2.46]
Puerto Rican 104 1,790 3,041 1,535 1.20 [1.01, 1.44] 2.11 [1.81, 2.46]
Cuban 2 1,745 3,068 1,528 1.15 [1.04, 1.27] 2.17 [1.89, 2.50]
All others 143 1,468 2,496 1,299 1.16 [0.92, 1.47] 2.09 [1.95, 2.23]

The findings were produced using county‐level aggregated data stratified by age (grouped into 18–44, 45–64, and 65+), sex, and race/ethnicity. Data sources: Census population data (2010–2011) were obtained from the Census Bureau, and counts of potentially preventable hospitalizations were obtained from the inpatient discharge data (2010–2011) from the study states. To clarify, we produced county‐level aggregated counts of potentially preventable hospitalizations and census population stratified by age, sex, and race/ethnicity (Hispanics, non‐Hispanic blacks, and non‐Hispanic whites). We used data on national origin of the Hispanic population in each county to stratify counties. For instance, there were 717 counties where a plurality of Hispanics were of Mexican origin; we obtained the reported estimates by separately analyzing the data from these 717 counties, without distinguishing the Hispanics within these counties by national origin. Similarly, we performed separately analysis for counties stratified by the national origin of plurality of Hispanics. Age–sex–adjusted potentially preventable hospitalization rates were obtained by direct standardization. To obtain relative rates of Hispanic–white and black–white differences, we estimated separate Poisson regression models for counties grouped by the Hispanic national origin group that was in majority, using as covariates, sex, age, and race‐ethnicity; we specified state‐level fixed effects to capture unobserved state factors, except for the model for Cuban origin cohort as both the counties with plurality were in the same state (Florida).