Skip to main content
. Author manuscript; available in PMC: 2013 Sep 26.
Published in final edited form as: Arch Intern Med. 2010 Aug 9;170(15):1308–1314. doi: 10.1001/archinternmed.2010.235

Table 1.

Characteristics of the Study Population in 2005

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.