Others titles

  • Medicare Beneficiaries ECG Monitoring 2012
  • Ambulatory ECG Monitoring 2012
  • ECG Monitoring HRR level 2012

Keywords

  • Hospitalization Rates
  • Comprehensive Information on ECG Data
  • Comprehensive Analysis on ECG Data
  • Medicare Population with ECG
  • ECG Monitoring
  • Dartmouth Atlas Project
  • Medicare Beneficiaries ECG Monitoring
  • Hospital Referral Regions
  • Ambulatory ECG Monitoring

Ambulatory ECG Monitoring per 1000 Medicare Enrollees HRR level 2012

The dataset gives information on Ambulatory Electrocardiography (ECG) monitoring rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for year 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).

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Description

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 healthcare 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. Hospitalization rates are 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 based on a count of fewer than 11 patients are not displayed for reasons of patient confidentiality. 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 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

Data Info

Date Created

2015-04-20

Last Modified

2015-04-20

Version

2015-04-20

Update Frequency

Never

Temporal Coverage

2012

Spatial Coverage

United States

Source

John Snow Labs; Dartmouth Atlas Project;

Source License URL

Source License Requirements

N/A

Source Citation

The data set forth at http//archive.dartmouthatlas.org/downloads/tables/hrr_AECG_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).

Keywords

Hospitalization Rates, Comprehensive Information on ECG Data, Comprehensive Analysis on ECG Data, Medicare Population with ECG, ECG Monitoring, Dartmouth Atlas Project, Medicare Beneficiaries ECG Monitoring, Hospital Referral Regions, Ambulatory ECG Monitoring

Other Titles

Medicare Beneficiaries ECG Monitoring 2012, Ambulatory ECG Monitoring 2012, ECG Monitoring HRR level 2012

Data Fields

Name Description Type Constraints
GeoidGeographical divsion.integerlevel : Nominal
State_AbbreviationThe two-letter aabreviation for specific states.string-
CityThe name of city of the specific state.string-
DenominatorDenominator in calculating rate.integerlevel : Ratio
Observed_IndividualsNumber of observed individual.integerlevel : Ratio
Observed_EventsNumber of events observed.integerlevel : Ratio
Expected_EventsNumber of expected events.numberlevel : Ratio
Observed_Expected_RatioRatio of observed to expected events.numberlevel : Ratio
Crude_RateCrude rate of the event.numberlevel : Ratio
Adjusted_RateAdjusted rate for the event.numberlevel : Ratio
Standard_ErrorStandard error.numberlevel : Ratio
Lower_95_Confidence_IntervalLower limit of 95% confidence interval.numberlevel : Ratio
Upper_95_Confidence_IntervalUpper limit of 95% confidence interval.numberlevel : Ratio

Data Preview

GeoidState AbbreviationCityDenominatorObserved IndividualsObserved EventsExpected EventsObserved Expected RatioCrude RateAdjusted RateStandard ErrorLower 95 Confidence IntervalUpper 95 Confidence Interval
1AL BIRMINGHAM240824754995859090.9121.05439.80140.5719999999999960.439.76841.393
2AL DOTHAN50644150417421909.10299999999980.91234.39735.1410.81333.52836.83
5AL HUNTSVILLE76201185626102909.9680.89734.25199999999999534.4550.650999999999999933.15835.803000000000004
6AL MOBILE79592199922372985.6070.749000000000000128.10599999999999828.8519999999999970.58927.68099999999999730.073
7AL MONTGOMERY45330138621001682.7441.24846.32748.2281.017000000000000146.20850.336000000000006
9AL TUSCALOOSA300096216901116.2820.61822.99300000000000223.8830000000000030.87822.16625.734
10AK ANCHORAGE55411112414662057.5090.71326.45699999999999727.2780000000000020.68825.91699999999999828.711
11AZ MESA81464281836063067.521.17644.26545.0190.724000000000000143.57346.513000000000005
12AZ PHOENIX259749708688959769.8080.9134.24534.8619999999999950.3570000000000000434.14435.594
14AZ SUN CITY45381152018871796.69799999999991.0541.58140.2390000000000040.89538.46342.096000000000004