Skip to main content
. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: Med Care. 2016 Nov;54(11):984–991. doi: 10.1097/MLR.0000000000000600

Table 1. Characteristics of Sample Groups.

Prior to Propensity Class Implementation After Propensity Class Implementation

% with Characteristic p-value Within Propensity Classes1

Enrollee Insurance Status

New
N=1124
Returning
N=1587
Continuous
N=5126
p-value X2 1
N=1961
2
N=1689
3
N=1233
4
N=1239
5
N=1715
Sex: Female 47.5 53.0 60.0 <0.001 0.09 0.73 0.26 0.02 0.09

Age Category Less than 30 15.3 14.6 14.5 <0.001 0.12 0.32 0.51 0.86 0.01
30 to <50 46.3 54.8 45.9
50 to 65 38.4 30.6 39.6

Race/Ethnicity Hispanic 4.0 3.8 3.5 0.109 0.34 0.86 0.46 0.89 1.00
Non-Hispanic White 84.3 84.8 83.0
Other minority 8.8 9.1 11.1
Unknown 2.8 2.3 2.4

Child on Case 12.2 17.6 22.5 <0.001 0.19 0.05 0.85 0.45 0.18

Income (%FPL) less than 10% 53.0 52.2 44.7 <0.001 0.25 0.68 0.83 0.02 0.752
10% to less than 50% 19.0 18.8 19.8
50% to less than 65% 7.9 7.5 11.0
65% to less than 85% 10.1 12.4 13.9
85% to less than 100% 9.9 9.1 10.6

Rural zipcodeb 42.8 46.5 42.5 0.019 0.09 0.80 0.19 0.29 0.07

Nearest hospitalc More than 10 miles 18.3 19.3 16.8 0.151 0.23 0.81 0.35 0.11 0.43

Chronic Condition Hypertension 36.5 35.9 37.4 0.505 0.18 0.18 0.11 0.42 0.41
Diabetes 13.8 13.7 16.7 0.003 0.99 0.72 0.48 0.86 0.69
Heart Disease 11.4 12.5 11.5 0.546 0.29 0.47 0.09 0.95 0.65
Obstructive Pulmonary Disease 17.4 23.3 20.1 0.001 0.83 0.62 0.70 0.57 0.42
Gastrointestinal disorder 20.8 24.6 20.2 0.001 0.97 0.23 0.06 0.59 0.26
Anxiety 21.2 25.0 22.0 0.024 0.61 0.11 0.46 0.40 0.75
Depression 27.8 31.1 25.9 <0.001 0.09 0.28 0.85 0.86 0.94
Other psychiatric disorder 22.4 26.0 22.3 0.008 0.35 0.78 0.21 0.02 0.56
Drug dependency 8.4 16.4 10.7 <0.001 0.31 0.81 1.00 0.49 0.03
Alcohol dependency 12.9 17.3 8.9 <0.001 0.11 0.01 0.21 0.08 <0.01

Bold face indicates residual imbalance (p<.05) within propensity classes.

a

Propensity classes were created to adjust for the between group difference in covariates. To do this, propensity scores for membership in the newly insured and returning insured groups were generated from a multinomial regression of group membership on patient covariates. Propensity scores were categorized as: 1) low probability of being either newly or returning insured, 2) moderate probability of being either, 3) high probability of being newly insured and low probability of returning insured, 4) low probability of being newly insured and high probability of returning insured, and 5) high probability of being either. Details of the propensity class categorization are given in eMethods in the Supplement. Variables with residual imbalance were included with propensity class as covariates in all analyses.

b

Based on classification by the Oregon Office of Rural health

c

Based on the centroid of the patient's zip code

P-value(χ2): χ2 test of between group difference