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. Author manuscript; available in PMC: 2009 Oct 10.
Published in final edited form as: Psychiatr Serv. 2004 Nov;55(11):1250–1257. doi: 10.1176/appi.ps.55.11.1250

Table 4.

Least-squares regression of sample characteristics on individual health problem severity of 147 Medicaid enrollees with severe mental illnessa

Variable Standardized β SE t p
Gender, male −.093 .17 −.356 .72
Ethnic or racial minority group −.029 .212 −.356 .72
High socioeconomic statusb −.003 .189 −.04 .97
Diagnosis of schizophrenia −.123 .177 −1.449 .15
Homeless during projectc −.173 .277 −1.927 .06
Age .24 .008 −3.023 .01
Treatment for obesityd .171 .279 2.094 .04
Treatment for substance use disordere .234 .222 2.459 .01
a

Full model of least-squares regression: F=3.87, df=8,146, p=.001; R2=.183; adjusted R2=.136. Each individual was assigned the average annual treatment cost for his or her most severe health problem within each of 14 health conditions based on actual costs for a multistate sample of Medicaid recipients; each person’s costs were summed across condition categories. Individual severity scores were standardized.

b

Coded as “high” if the participant had a postsecondary education or held a white-collar or managerial job for at least five years

c

Coded as “yes” if the participant was homeless at any time between 1996 and 2000

d

Coded as “yes” if the participant had at least one Medicaid claim for treatment for obesity during the four-year study period

e

Coded as “yes” if the participant had any Medicaid claims for substance abuse that lasted more than five days during the four-year study period