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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Res Social Adm Pharm. 2012 Oct 10;9(6):10.1016/j.sapharm.2012.09.003. doi: 10.1016/j.sapharm.2012.09.003

Table 3.

Racial and ethnic disparities in meeting 2010–2011 Medicare MTM eligibility criteria in 1996–1997 according to main analysis.

Estimate Standard. Error Wald Chi-Square P Odds Ratio (OR) 95% Confidence Interval for OR
Intercept −4.24 0.62 47.13 <.0001 -- --
Non-Hispanic Whites -- -- -- -- -- --
Non-Hispanic Blacks −0.70 0.23 9.70 <0.01 0.50 0.32–.77
Hispanics −0.14 0.23 0.38 0.54 0.87 0.56–1.36
Age −0.01 0.01 4.18 0.04 0.99 0.98–1.00
Female -- -- -- -- -- --
Male −0.21 0.15 1.90 0.17 0.81 0.60–1.09
Not married -- -- -- -- -- --
Married −0.34 0.15 4.79 0.03 0.72 0.53–0.97
No private insurance -- -- -- -- -- --
Any Private Insurance 0.52 0.17 8.93 <0.01 1.68 1.20–2.36
No Medicaid -- -- -- -- -- --
Medicaid 0.50 0.21 5.81 0.02 1.66 1.10–2.50
Poor -- -- -- -- -- --
Near poor 0.22 0.27 0.66 0.42 1.24 0.74–2.09
Low income 0.11 0.21 0.25 0.61 1.11 0.73–1.69
Middle income 0.23 0.20 1.26 0.26 1.25 0.85–1.86
High income 0.53 0.22 5.88 0.02 1.70 1.11–2.61
Lower than high school -- -- -- -- -- --
GED or high school −0.10 0.15 0.43 0.51 0.91 0.68–1.21
Bachelor 0.09 0.29 0.10 0.75 1.10 0.62–1.95
Master and higher 0.0003 0.32 0.00 1.00 1.00 0.53–1.87
Other −0.24 0.41 0.35 0.56 0.78 0.35–1.76
Northeast -- -- -- -- -- --
Midwest 0.27 0.22 1.57 0.21 1.32 0.86–2.02
South 0.09 0.20 0.21 0.65 1.09 0.74–1.61
West 0.06 0.21 0.09 0.77 1.06 0.71–1.60
Not MSA -- -- -- -- -- --
Yes MSA −0.06 0.16 0.13 0.72 0.95 0.69–1.29
Excellent self-perceived health status -- -- -- -- -- --
Very good self-perceived health status 0.76 0.38 3.93 0.05 2.14 1.01–4.53
Good self-perceived health status 1.69 0.35 23.13 <.0001 5.42 2.72–10.79
Fair self-perceived health status 2.44 0.35 49.17 <.0001 11.52 5.82–22.82
Poor self-perceived health status 2.99 0.35 70.89 <.0001 19.83 9.89–39.74

Note: Covariates based on the Andersen's model are predisposing factors (age, gender, and marital status), enabling factors (highest degree received, income, insurance status, metropolitan statistical area, and geographic regions), and need factors (self-perceived health status).