- Coronary Angiography Rate Medicare Beneficiaries 2012
- Dartmouth Atlas Project Coronary Angiography 2012
- HRR Level Coronary Angiography Rate Medicare Beneficiaries 2012
- Hospitalization Rates
- Comprehensive Information on Coronary Angiography
- Comprehensive Analysis on Coronary Angiography
- Medicare Population with Coronary Angiography
- Coronary Angiography Monitoring
- Dartmouth Atlas Project
- Coronary Angiography Medicare Beneficiaries
- Coronary Angiography HRR Level
- Coronary Angiography
- Medicare Coronary Angiography
- Coronary Angiography Rates
- Medicare Beneficiaries
Coronary Angiography per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Coronary Angiography rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
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The Dartmouth Atlas Project uses Medicare data to provide comprehensive information and analysis about national, regional, and local markets, as well as individual hospitals and their affiliated physicians. The Dartmouth Atlas Project have helped policymakers, the media, health care analysts and others improve their understanding of the efficiency and effectiveness of US health care system. The data for research purposes come from the Centers for Medicare and Medicaid Services (CMS), U.S. Census, the American Hospital Association (AHA), the American Medical Association (AMA), and the National Center for Health Statistics (NCHS). The dataset gives information on particular hospitalization rates of Medicare beneficiaries with respect to the Hospital Referral Regions (HRR). Hospital referral regions (HRR) represent regional healthcare markets for tertiary medical care; each HRR contains at least one hospital that performs major cardiovascular procedures and neurosurgery.
Numerator includes the number of discharges with particular ICD-9-CM procedure codes. Denominator in the dataset is 100% of Medicare enrollees age 65-99 with full Part A entitlement and no Health Maintenance Organization (HMO) enrollment during the measurement period. Age, gender, race, and eligibility are determined using the Denominator file. Rates are adjusted for age, sex and race using the indirect method, using the U.S. Medicare population as the standard. Gender-specific rates are age and race adjusted; race-specific rates are age and sex adjusted.
A rate is the number of events or amount of resources divided by the number in the population. Most rates of utilization and spending are adjusted to the age, sex and race distribution of the national Medicare population using the indirect method. First, the national event rate for each age-sex-race category was computed. These rates were then applied to the Hospital Service Area (HSA) population to produce the expected number of events in the HSA, that is, the number of events that would have occurred in the HSA if its rate was the same as the national event rate. It is a way to standardize for different distributions of risk factors across areas. Rates based on a count of fewer than 11 patients are not displayed for reasons of patient confidentiality. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator). Different risk factors across areas are standardized by calculating the national event rate for each age-sex-race category and applied to the Hospital Service Area (HSA) population. Rates with fewer than 26 expected events are reported in parentheses to indicate lack of statistical precision; for these rates, the margin of error is greater than 20%, so the estimate is considered statistically unreliable. Upper and lower limits for 95% confidence interval and standard error of the hospitalization rates are also displayed in the dataset.
In this dataset, The event used is ‘CaoEc’. The stratification used is ‘all’ for each of the records. The population unit used is ‘1000’. The geographical area type is ‘HRR’. Suppression limit is ’11’. Precision limit is ’26’. The value for Statistically Insignificant is ‘0’.
About this Dataset
John Snow Labs; Dartmouth Atlas Project;
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The data set forth at http//www.dartmouthatlas.org/downloads/tables/hrr_CORAN_2012.xls of publication/press release was obtained from The Dartmouth Atlas, which is funded by the Robert Wood Johnson Foundation and the Dartmouth Clinical and Translational Science Institute, under award number UL1TR001086 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH).
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Coronary Angiography Rate Medicare Beneficiaries 2012, Dartmouth Atlas Project Coronary Angiography 2012, HRR Level Coronary Angiography Rate Medicare Beneficiaries 2012
|Geoid||Geographical division.||integer||level : Nominal|
|State_Abbreviation||The two-letter aabreviation for specific states.||string||-|
|City||The name of city of the specific state.||string||-|
|Denominator||Denominator in calculating rate.||integer||level : Ratio|
|Observed_Individuals||Number of observed individual.||integer||level : Ratio|
|Observed_Events||Number of events observed||integer||level : Ratio|
|Expected_Events||Number of expected events||number||level : Ratio|
|Observed_Expected_Ratio||Ratio of observed to expected events||number||level : Ratio|
|Crude_Rate||Crude rate of the event||number||level : Ratio|
|Adjusted_Rate||Adjusted rate for the event||number||level : Ratio|
|Standard_Error||Standard error||number||level : Ratio|
|Lower_95_Confidence_Interval||Lower limit of 95% confidence interval||number||level : Ratio|
|Upper_95_Confidence_Interval||Upper limit of 95% confidence interval||number||level : Ratio|
|Geoid||State Abbreviation||City||Denominator||Observed Individuals||Observed Events||Expected Events||Observed Expected Ratio||Crude Rate||Adjusted Rate||Standard Error||Lower 95 Confidence Interval||Upper 95 Confidence Interval|