General Atlas Rates
Deemed essential to the understanding of variation in health care spending, these General Atlas Rates have been collected extensively over the course of many years.
Terms and Conditions of Data Use: please read before downloading data.
Contents
- Medicare Reimbursements
- Mortality
- Primary Care Access and Quality Measures
- Hospital and Physician Capacity
- End-of-Life Chronic Disease
- Hospital and Post-Acute Care
Medicare Reimbursements
For more on the methods for adjusting Medicare expenditures for regional differences in prices, please read our technical report. Read more about the transition from CMHS-based to claims-based reimbursement measures in the Dartmouth Atlas Report, A New Series of Medicare Expenditure Measures by Hospital Referral Region: 2003-2008.
Claims-based: Price, age, sex and race-adjusted (100% sample)
Claims-based: Price, age, sex and race-adjusted (20% sample)
CMHS-based: Age, sex and race-adjusted (5% sample)
Medicare mortality rates
Selected primary care access and quality measures
Data include measures of primary care utilization, quality of care for diabetes, mammography, leg amputation and preventable hospitalizations. More information can be found in Regional and Racial Variation in Primary Care and the Quality of Care among Medicare Beneficiaries (2010).
Selected hospital and physician capacity measures
Relevant Reports
Hospital and Physician Capacity Update (2009)
The Dartmouth Atlas of Health Care in the United States (1996)
*2011 rates for physician workforce only. 2012 rates for hospital resources only.
Note: some HSAs show large population shifts between the 2006 estimates and the 2010 estimates (used for 2011 and 2012 data). These shifts are attributed to several factors. Some may represent actual population changes. Others may reflect changes in methodology. The 2006 estimates were extrapolated from the 2000 Census, which used ZIP Code Tabulation Areas (ZCTAs) as their basis. The 2010 Census counts are based on Census tracts, which may change the geographic relationships. Users should be aware of this when comparing 2006 to 2011 or 2012 data. These changes have little to no impact at the HRR level.
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