Dartmouth Atlas Rates without Race Adjustment (2017-2019)

The Dartmouth Institute for Health Policy and Clinical Practice (TDI) has created a publicly available source of data that provides researchers, payers, regulators, and innovators with metrics that quantify temporal and regional patterns of health care spending and utilization in the United States. Using CMS Medicare claims data (mostly for age >64 enrollees), Atlas researchers built cohorts (“denominators”) and numerous measures or events (“numerators”) which were then used to calculate rates either by geography or for patients assigned to specific hospitals. These rates, which are calculated consistently across time and place, provide researchers with opportunities to evaluate spatial and temporal variation/trends. This entry contains age-sex (AS) and age-sex-race (ASR) adjusted rates for a variety of Dartmouth Atlas measures. Traditionally, Dartmouth Atlas researchers have adjusted rates for age, sex, and race. This entry provides rates that are only adjusted for age and sex, without adjusting for race. The ASR-adjusted rates are posted elsewhere in the Dartmouth Atlas Project Dataverse, but they are included in this dataset for reference/comparison to the AS-adjusted rates. The following types of measures are included: Mortality https://doi.org/10.21989/D9/MWPI6R Medicare Reimbursements https://doi.org/10.21989/D9/FITTTS End-of-Life Inpatient Care https://doi.org/10.21989/D9/WX4EHG Post-Discharge Events https://doi.org/10.21989/D9/OP5WCG End-of-Life Chronic Illness https://doi.org/10.21989/D9/X53RU2 Primary Care Access https://doi.org/10.21989/D9/WEQ6ON Users downloading data should review the methods sections of the related publication in the above Dataverse entries for context as well as for information about any temporal changes in methods. All reports in the Dartmouth Atlas of Health Care series are available from the National Library of Medicine https://www.ncbi.nlm.nih.gov/books/NBK584737/