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Published byHannele Jääskeläinen Modified over 5 years ago
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“What Data is Relevant to Insure or Not Insure”
California Rural Indian Health Board (CRIHB) For the Centers for Medicare & Medicaid Services (CMS) Tribal Affairs Group (TAG) under the guidance of the CMS Tribal Technical Advisory Group (TTAG)
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Uninsured American Indians, With & Without IHS Coverage
American Community Survey Survey with most Indians surveyed annually AI/AN Populations are small enough that currently only survey results at the state level are reliable Currently only have data from one year (2008) Next Year will have 3 years of data ( )
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Health Care Coverage Information from American Community Survey
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Uninsured Eligible for Health Insurance Exchange (HIE)
Without cost-sharing: Household Incomes 139% to 300% of Poverty more reliable numbers with more years of data because of the low population of Indians
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471,000 American Indians are uninsured
With incomes 139% to 300% of Poverty In all states combined 177,000 with IHS Coverage 294,000 without
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Age Distribution of these AI/AN with & without IHS
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Gender Distribution of these AI/AN with & without IHS
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Exchanges will develop state by state
State numbers for American Indians vary
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Numbers of the Uninsured vary greatly by state
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Distributions vary by state: Age Groups with IHS ‘coverage’
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Begin analysis for 12 IHS Areas
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Number of Uninsured with Incomes 139 to 300% Poverty
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Percent of the Uninsured with & without IHS ‘Coverage’
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Area Results require at least 3 years of survey data
To be reliable statistically Will begin analysis of 3 years of data at end of this year 2011
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What other types of data do we need to decide to insure or not insure?
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