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. 2014 Mar 13;49(3):778–797. doi: 10.1111/1475-6773.12168

Table 2.

Results from Model Predicting Home and Community-Based Service Use

Variable Coefficient Standard Error
Age (65–70 = reference)
 71–75 −0.170** 0.021
 76–80 −0.395** 0.026
 81–85 −0.626** 0.033
 86–90 −0.889** 0.034
 91+ −1.278** 0.042
Gender (Male = reference)
 Female 0.375** 0.020
Race (White = reference)
 Black 0.779** 0.096
 Hispanic 0.854** 0.042
 Asian 0.521** 0.158
 Native American 0.442* 0.193
 Other 0.621** 0.097
Urban/rural residence (Urban = reference)
 Rural −0.028 0.051
Medicaid eligibility (Poverty/Cash = reference)
 Medically needy/Other −1.662** 0.088
Diagnosis
 Anemia −0.744** 0.033
 Anxiety −0.017 0.023
 Arthritis 0.435** 0.026
 Cancer 0.393** 0.017
 Chronic kidney disease 0.135** 0.025
 Chronic obstructive pulmonary disease 0.315** 0.029
 Dementia −1.842** 0.034
 Depression −1.013** 0.033
 Diabetes −0.117** 0.017
 Heart failure −0.539** 0.041
 Hypertension 0.340** 0.026
 Ischemic heart disease 0.313** 0.019
 Stroke −0.622** 0.024
Previous hospitalization
 Yes 0.668** 0.019
 Number of hospital beds per 1,000 population 65+ in county (10s) 0.012 0.008
 Per-capita county income (1,000s) −0.026** 0.005

Note. Model also included dummy variables for quarter of observation and component economic area of residence.

*

p < .05;

**

p < .01.