Skip to main content

Table 2 Logistic odds ratio regression estimates from stratified subsample analysis

From: Catastrophic health expenditures: a disproportionate risk in uninsured ethnic minorities with diabetes

Sample/Subsample:

(1)

(2)

(3)

Uninsured

Diabetes

Both

Pr(CHE)

Pr(CHE)

Pr(CHE)

Model 1 – Predisposing Controls

 NHB

1.26***

1.08

0.96

 

(0.06)

(0.06)

(0.16)

 Hispanic

0.98

1.19***

0.99

 

(0.04)

(0.06)

(0.12)

 Uninsured

 

4.77***

 
  

(0.33)

 

 Diabetes

1.85***

  
 

(0.11)

  

Model 2 – Predisposing and Enabling Controls

 NHB

1.21***

0.99

0.94

 

(0.07)

(0.06)

(0.18)

 Hispanic

0.98

1.09

1.06

 

(0.05)

(0.06)

(0.17)

 Uninsured

 

6.68***

 
  

(0.58)

 

 Diabetes

1.59***

  
 

(0.11)

  

Model 3 – Predisposing, Enabling and Need Controls

 NHB

1.23***

0.96

0.99

 

(0.07)

(0.06)

(0.18)

 Hispanic

1.02

1.07

1.14

 

(0.05)

(0.06)

(0.18)

 Uninsured

 

6.87***

 
  

(0.59)

 

 Diabetes

1.26***

  
 

(0.09)

  

Model 4 – Predisposing, Enabling, Need and Event Controls

 NHB

1.13**

0.97

1.01

 

(0.06)

(0.06)

(0.20)

 Hispanic

1.14**

1.09

1.39**

 

(0.06)

(0.06)

(0.23)

 Uninsured

 

7.18***

 
  

(0.61)

 

 Diabetes

1.15

  
 

(0.11)

  

All Models

   

 Observations

30,280

31,073

2,675

 Year Indicators

X

X

X

 Region Indicators

X

X

X

  1. Standard Errors are reported in parentheses. Odds Ratios are reported with significance denoted as: *** p < 0.01, ** p < 0.05. NHW is the omitted reference category for race/ethnicity. Uninsured refers to the subsample of patients that are uninsured; Diabetes refers to the subsample of patients with a diabetes diagnosis; Both is the sample of patients that are both uninsured and have a diabetes diagnosis. The model heading describes the controls included within the model specification, and all specifications additionally include controls for year and region indicators