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. 2005 May;20(5):426–431. doi: 10.1111/j.1525-1497.2005.0097.x

Table 5.

Crude and Adjusted Prevalence Odds Ratios for the Association Between Lack of Vaccination and Race/Ethnicity* Among Adults 65 Years and Older—1998 National Health Interview Survey

Logistic Models Hispanics NH Blacks
POR 95% CI POR 95% CI
Crude model 1.89 (1.5 to 2.3) 2.24 (1.9 to 2.7)
Full model, 1.27 (0.9 to 1.7) 2.00 (1.6 to 2.5)
Controlling for covariates 1.94 (1.6 to 2.4) 2.26 (1.9 to 2.7)
Controlling for all access variables 1.27 (0.9 to 1.7) 1.96 (1.6 to 2.4)
Controlling for predisposing variables§ 1.38 (1.1 to 1.8) 1.90 (1.6 to 2.3)
Controlling for enabling variables 1.53 (1.2 to 1.9) 2.10 (1.7 to 2.6)
Controlling for environmental/system variables 1.87 (1.5 to 2.3) 2.23 (1.9 to 2.7)
Controlling for need variables# 1.90 (1.6 to 2.4) 2.35 (1.9 to 2.8)
Controlling for predisposing,§ enabling, need,# and covariates 1.27 0.9 to 1.7) 2.01 (1.6 to 2.5)
Controlling for predisposing,§ enabling, and covariates 1.27 (0.9 to 1.7) 1.98 (1.6 to 2.5)
Controlling for predisposing,§ enabling variables 1.26 (0.9 to 1.7) 1.93 (1.6 to 2.4)
*

Non-Hispanic whites=reference group

All access variables: age, gender, education, marital status, English language proficiency, recent immigrant, annual household income, insurance status, regular source for care, care delayed due to cost barrier, number of doctor's visits, difficulties obtaining appointments, telephone access difficulties, long waits at provider office, inconvenient clinic hours, transportation problems, health status, and chronic conditions

Covariates: residence in a metropolitan statistical area (MSA), region of the country of residence.

§

Predisposing variables: age, gender, education, marital status, English language proficiency, recent immigrant.

Enabling variables: annual household income, insurance status, regular source for care, care delayed due to cost barrier, number of doctor's visits.

Environmental/system variables: difficulties obtaining appointments, telephone access difficulties, long waits at provider office, inconvenient clinic hours, transportation problems.

#

Need variables: health status, 1 or more chronic conditions.

POR, prevalence odds ratio.