1. Hawaii’s Uninsured Population: Estimates from the Behavioral Risk Factor Surveillance System, 2000 and 2001 Lawrence Nitz Gerard Russo Sang-Hyop Lee Timothy Rupright

2. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Summary of the Full Population Sample Sizes: Sample Sizes: 2000 = 6016 2000 = 6016 2001 = 4500 2001 = 4500 In Hawaii, women appear to have a significantly higher insurance rate than men In Hawaii, women appear to have a significantly higher insurance rate than men The young, unsurprisingly, have a lower insurance rate than the old The young, unsurprisingly, have a lower insurance rate than the old Other than the unemployed, the self-employed and students appear to have the highest risk of uninsurance Other than the unemployed, the self-employed and students appear to have the highest risk of uninsurance The outer islands have lower insured rates than Oahu The outer islands have lower insured rates than Oahu

3. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Insured Rate by Ethnicity

4. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Hawaii’s Uninsured Population All tabulations on Hawaii’s uninsured population were completed using an island-level stratification according to the design specified by local DOH officials All tabulations on Hawaii’s uninsured population were completed using an island-level stratification according to the design specified by local DOH officials

5. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Hawaii’s Uninsured Population Almost half of the uninsured are younger than 30, but there are also significant numbers of uninsured in the middle age range.

6. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Hawaii’s Uninsured Population  Males compose a majority of the uninsured

7. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Distribution of Hawaii’s Uninsured Population Nearly 50% of the uninsured have a per capita income of less than $10,000 Nearly 50% of the uninsured have a per capita income of less than $10,000 Over total income, the distribution is much more regular Over total income, the distribution is much more regular

8. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Hawaii’s Uninsured Population by FPL Standards Roughly 60% of the Uninsured in Hawaii have incomes below 200% of the Federal Poverty Line Roughly 60% of the Uninsured in Hawaii have incomes below 200% of the Federal Poverty Line

9. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Distribution of the Uninsured Population by Employment

10. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Hawaii’s Population by Employment Category Note that though the self-employed compose only 8% of the population, the previous slide showed that they account for 26% of the uninsured. Note that though the self-employed compose only 8% of the population, the previous slide showed that they account for 26% of the uninsured.

11. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Distribution of Hawaii’s Uninsured by Ethnicity

12. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Quest-Eligible Uninsured Almost 20% of the Uninsured qualify for Quest Almost 20% of the Uninsured qualify for Quest In this survey, the Quest-eligibility was determined by: In this survey, the Quest-eligibility was determined by: Pregnant women below 185% of the FPL Pregnant women below 185% of the FPL In both samples, ALL Pregnant women claimed to have health insurance In both samples, ALL Pregnant women claimed to have health insurance Adults aged 18-64 below 100% of the FPL Adults aged 18-64 below 100% of the FPL

13. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Summary of Hawaii’s Uninsured Young Adults Young Adults Low Per Capita Income Low Per Capita Income Self Employed appear to be at higher risk of not having insurance Self Employed appear to be at higher risk of not having insurance Simply enrolling those eligible for the Quest program could reduce the uninsured by nearly 20% Simply enrolling those eligible for the Quest program could reduce the uninsured by nearly 20%

14. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Logistic Regression Results A series of Logistic Regressions appear to confirm that the self-employed are at a higher risk for not being insured. A series of Logistic Regressions appear to confirm that the self-employed are at a higher risk for not being insured. Males are also at higher risk of being uninsured. Males are also at higher risk of being uninsured. The data was not clear on the impact of low incomes, though high income certainly increased one’s chances of being insured. The data was not clear on the impact of low incomes, though high income certainly increased one’s chances of being insured.

15. Source: Hawaii State Department of Health, Behavioral Risk Factor Surveillance System. Weighted Tabulations, University of Hawaii, SSRI, February 2003. Subject to Revision Thank you