Table 1.
Intervention Groups | Comparison Group |
|||
---|---|---|---|---|
No-Coverage | $150-Cap | $350-Cap | No Cap | |
N(%) | 3,939(11) | 2,662(8) | 19,014(54) | 9,487(27) |
Female (%) | 55.4 | 62.3 | 62.1 | 52.5* |
Age (%) | ||||
65<=age<=74 | 47.4 | 49.7 | 52.5 | 60.7* |
75<=age<=84 | 44.3 | 40.6 | 39.3 | 34.1* |
age>=85 | 8.3 | 9.7 | 8.2 | 5.3* |
Whites (%)‡ | 93.0 | 96.0* | 91.9 | 92.1 |
African Americans (%) ‡ | 5.2 | 2.4* | 6.0 | 5.7 |
Below poverty line (%) ‡ | ||||
<100% | 10.6 | 11.1 | 10.1 | 9.9 |
between 100% and 200% | 18.3 | 20.9* | 17.2 | 16.9 |
>200% | 71.2 | 68.0* | 72.7 | 73.2 |
Urban (%) ‡ | 73.7* | 57.7* | 79.1 | 79.7 |
Diagnosed chronic conditions (%) | ||||
Hypertension | 54.5* | 62.8 | 62.6 | 61.2 |
Hyperlipidemia | 48.2 | 55.7 | 57 | 60.4* |
Diabetes | 19.6* | 22.5 | 22.3 | 23.3 |
Prospective Risk Scores§ | ||||
2004 | 0.83±0.011 | 0.85±0.014 | 0.86±0.005 | 0.84±0.008 |
2005 | 0.92±0.012 | 0.95±0.016 | 0.94±0.006 | 0.92±0.009 |
2006 | 1.03±0.015 | 1.04±0.017 | 1.04±0.007 | 1.03±0.010 |
2007 | 1.15±0.017 | 1.19±0.020 | 1.18±0.008 | 1.14±0.011 |
Use of medical services in 2005 | ||||
Emergency room visits (%) | 26.8* | 24.1 | 25.9 | 24.4 |
Hospitalizations (%) | 18.5 | 16.8 | 18.3 | 17.1 |
Mean outpatient visits | 23±0* | 25±1 | 25±0 | 26±0 |
Mean outpatient costs | 3498±93 | 3533±124 | 3741±47 | 3869±66 |
Mean medical costs | 6000±187 | 5838±227* | 6209±88 | 6267±130 |
Note:
These numbers are unweighted raw data. Plus-minus values are means±standard errors.
p<0.05. If * is indicated for the comparison group, it means the variable is statistically significant difference between each intervention group and the comparison group. If * is indicated for an intervention group, it means for that particular intervention group compared with the comparison group. We used chi-square tests for categorical variables and one-way analysis of variance (ANOVA) test for continuous variables. Some percentages do not sum up to one because of rounding effects.
These numbers are at zip-code level.
Prospective risk scores were calculated with the use of an algorithm that is described in the text, with higher scores indicating greater expected future medical spending.