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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: Health Care Manag Sci. 2015 Sep 15;20(1):94–104. doi: 10.1007/s10729-015-9339-x

Table 3.

Analysis of gee parameter estimates for predictors of risk-adjusted hospital readmission rates of rhcs (N = 3,918 RHC years)

Parameter Estimates of Generalized Estimating Equation (GEE)
Predictors Standardized
Estimate
Standard Error 95 % Confidence
Limits
Z Pr > |Z|
Contextual:
    ACA period effect −0.2173 0.0132 −0.2432 −0.1914 −16.42 <0.0001
    Large rural areas −0.0058 0.0290 −0.0628 0.0511 −0.20 0.8406
    Small rural areas 0.0273 0.0291 −0.0297 0.0844 0.94 0.3474
    Isolated rural areas 0.0387 0.0303 −0.0207 0.0981 1.28 0.2014
    Alabama −0.0380 0.0237 −0.0846 0.0085 −1.60 0.1092
    Florida −0.0527 0.0369 −0.1251 0.0197 −1.43 0.1535
    Georgia −0.1718 0.0269 −0.2246 −0.1190 −6.38 <0.0001
    Kentucky 0.0242 0.0345 −0.0434 0.0919 −0.70 0.4827
    North Carolina −0.1344 0.0260 −0.1854 −0.0834 −5.16 <0.0001
    South Carolina −0.0852 0.0289 −0.1419 −0.0285 −2.94 0.0032
    Tennessee 0.0103 0.0268 −0.0422 0.0628 0.38 0.7005
    % African Americans in county 0.2114 0.0381 0.1368 0.2860 5.55 <0.0001
    % Elderly in county −0.0654 0.0246 −0.1137 −0.0171 −2.66 0.0079
Aggregated RHC or ecological:
    % Dually eligible 0.1224 0.0261 0.0712 0.1737 4.68 <0.0001
    Average age of patients 0.1196 0.0294 0.0620 0.1772 4.07 <0.0001
    RHC use by native american patients −0.0250 0.0126 −0.0497 −0.0002 −1.98 0.0478

Marginal R-squared =0.2152; QIC = 3975; QICU =3936

*

Z- statistics greater or equal to 1.96 are statistically significant at 0.05 level