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Table 3 Statistical association of dual eligibility and health care utilization

From: Health care utilization among Medicare-Medicaid dual eligibles: a count data analysis

 

Office-based physician visits (1)

Hospital inpatient nights (2)

Home health provider days (3)

Total dental visits (4)

Demographics

    

Age

0.997 (0.001)***

0.997 (0.003)

1.003 (0.003)

0.991 (0.002)***

Male

0.993 (0.022)

1.380 (0.110)***

1.097 (0.105)

0.867 (0.044)***

Married

1.063 (0.023)**

0.768 (0.062)***

0.616 (0.066)***

1.178 (0.060)***

Less than High School

0.891 (0.020)***

0.979 (0.076)

0.969 (0.094)

0.778 (0.054)***

Rural

0.970 (0.023)

0.984 (0.077)

1.439 (0.133)***

0.759 (0.043)***

Region

    

Northeast

1.083 (0.031)***

0.961 (0.100)

1.242 (0.150)*

1.357 (0.088)***

Midwest

0.962 (0.027)

0.974 (0.091)

0.807 (0.094)*

1.149 (0.074)**

West

0.901 (0.025)***

0.715 (0.070)***

0.799 (0.100)*

1.162 (0.075)**

Medical condition

    

Poor Health

1.168 (0.026)***

1.292 (0.093)***

1.424 (0.125)***

0.757 (0.042)***

Co-morbidities

1.140 (0.003)***

1.060 (0.009)***

1.037 (0.010)***

1.081 (0.007)***

Chronic Disease

1.147 (0.023)***

1.120 (0.079)

0.850 (0.070)**

0.909 (0.043)**

Socioeconomic status

    

Poverty

1.004 (0.025)

0.897 (0.074)

1.020 (0.092)

0.894 (0.075)

Still Work

0.908 (0.032)***

0.562 (0.079)***

1.602 (0.403)*

0.833 (0.062)**

Race & dual eligibility

    

Asian

0.886 (0.087)

0.899 (0.458)

0.044 (0.034)***

0.510 (0.117)***

Hispanic

0.997 (0.036)

1.009 (0.132)

1.790 (0.313)***

1.082 (0.107)

Afro-American

0.959 (0.033)

1.063 (0.130)

2.216 (0.346)***

0.622 (0.072)***

Dual Eligibility

1.016 (0.037)

1.003 (0.112)

1.958 (0.234)***

0.708 (0.085)***

Dual*Asian

1.235 (0.184)

0.334 (0.238)

16.879 (15.54)***

1.621 (0.564)*

Dual*Hispanic

1.106 (0.067)*

1.193 (0.237)

0.943 (0.216)

1.253 (0.211)

Dual*Afro-American

1.170 (0.072)***

1.132 (0.226)

0.643 (0.132)**

1.926 (0.329)***

Inflation model = logit

Log likelihood

-22573.77

-8603.889

-7757.978

-8696.873

Constant

-4.012 (0.912)***

1.480 (0.138)***

3.071 (0.201)***

-3.211 (0.840)***

Cancer

-22.16 (16771.5)

-0.500 (0.088)***

-0.418 (0.088)***

-0.235 (0.134)*

Diabetes

-20.73 (7065.7)

-0.518 (0.075)***

-0.456 (0.078)***

0.485 (0.102)***

Hypertension

-11.54 (54.42)

-0.158 (0.063)***

-0.029 (0.072)

0.043 (0.092)

Stroke

-1.228 (0.942)

-1.226 (0.129)***

-1.037 (0.115)***

0.404 (0.165)**

Depression

-1.314 (0.590)**

-0.269 (0.072)***

-0.352 (0.074)***

-0.136 (0.100)

Less than High School

0.769 (0.235)***

-0.094 (0.072)

-0.133 (0.081)*

1.084 (0.138)***

Poverty

-0.260 (0.266)

-0.314 (0.096)***

-0.167 (0.101)*

0.037 (0.146)

Still Work

0.404 (0.321)

0.084 (0.126)

0.943 (0.191)***

-0.742 (0.314)**

Asian

0.144 (0.945)

1.007 (0.340)***

1.130 (0.364)***

-0.391 (0.503)

Hispanic

0.130 (0.318)

0.152 (0.096)

0.274 (0.106)***

0.160 (0.148)

Afro-American

0.917 (0.255)***

0.321 (0.093)***

-0.026 (0.096)

0.030 (0.207)

Dual eligibility

-1.487 (0.761)*

-0.285 (0.082)***

-1.066 (0.082)***

0.241 (0.145)*

Income0

1.298 (0.987)

0.300 (0.189)

0.325 (0.272)

2.725 (0.813)***

Income1

1.614 (0.924)*

0.159 (0.146)

-0.511 (0.214)**

2.420 (0.795)***

Income2

1.194 (0.910)

-0.035 (0.136)

-0.620 (0.206)***

2.280 (0.790)***

Incoem3

0.861 (0.949)

0.211 (0.150)

-0.300 (0.225)

1.724 (0.780)**

LR Chi2 (20)

2,766.11

136.25

199.10

333.40

Prob> Chi2 (20)

0.000

0.000

0.000

0.000

Number of obs.

8,260

8,255

8,185

8,260

Nonzero obs.

7,094

1,501

942

2,395

Zero obs.

1,166

6,754

7,243

5,865

alpha

0.572 (0.014)

1.906 (0.170)

1.522 (0.090)

1.377 (0.119)

Likelihood-ratio (LR) test of alpha = 0:

Chibar2(01) = 1.7e+04 Prob>=Chibar2 = 0.000

Chibar2(01) = 1.3e+04; Prob>=Chibar2 = 0.000

Chibar2(01) = 8.3e+04; Prob>=Chibar2 = 0.000

Chibar2(01) = 1457.18; Prob>=Chibar2 = 0.000

Vuong test of ZINB vs. standard NB:

Z = 5.40; Prob>z = 0.000

Z = 7.76; Prob>z = 0.000

Z = 7.95; Prob>z = 0.000

Z = 8.21; Prob>z = 0.000

  1. Notes: Zero-Inflated Negative Binomial (ZINB) regressions are performed. Incidence rate ratios and correlation coefficient estimates are presented for negative binomial (NB) and logit regressions, respectively. Corresponding exponential-scale and logit-scale standard errors reported in brackets. Categorized income variables are constructed by dividing family income by the applicable poverty line (based on family size and composition), with the resulting percentages grouped into 5 categories: negative or poor ("Income0", less than 100%), near poor ("Income1", 100% to less than 125%), low income ("Income2", 125% to less than 200%), middle income ("Income3", 200% to less than 400%), and high income ("Income4", greater than or equal to 400%). Two-tailed t-tests and one-tailed chi-square tests are applied to the estimated coefficients and model specification statistics (i.e., LR and Vuong). Asterisks *, **, and *** indicate statistical significance at 10%, 5%, and 1% levels, respectively.