chronicdata-cdc-gov/healthcare-cost-and-utilization-project-hcup-ntny-77fx

  • cardiovascular
  • coronary heart disease
  • hospitalizations
  • myocardial infarction
  • stroke

Healthcare Cost and Utilization Project (HCUP) - National Inpatient Sample

Healthcare Cost and Utilization Project (HCUP) - National Inpatient Sample

2001 forward. The National (Nationwide) Inpatient Sample (NIS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest publicly available all-payer inpatient health care database in the United States, yielding national estimates of hospital inpatient stays. Unweighted, it contains data from more than 7 million hospital stays each year. Weighted, it estimates more than 35 million hospitalizations nationally. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This is one of the datasets provided by the National Cardiovascular Disease Surveillance System. The system is designed to integrate multiple indicators from many data sources to provide a comprehensive picture of the public health burden of CVDs and associated risk factors in the United States. The data are organized by indicator, and they include CVDs (e.g., heart failure). The data can be plotted as trends and stratified by age group, sex, and race/ethnicity.

Columns

NameSocrata field nameColumn name in sgr mountData typeDescription
GeoLocation (city)geolocation_citygeolocation_cityText
YearyearyearNumberYear
GeoLocation (state)geolocation_stategeolocation_stateText
States:@computed_region_bxsw_vy29:@computed_region_bxsw_vy29Number
Counties:@computed_region_he4y_prf8:@computed_region_he4y_prf8Number
PriorityArea2priorityarea2priorityarea2TextPriority Area (ABCS or None)
BreakOutCategoryIdbreakoutcategoryidbreakoutcategoryidTextBreak out category lookup value
IndicatorindicatorindicatorTextIndicator description
Data_Value_Typedata_value_typedata_value_typeTextData Value Type (mean, rate, percentage)
TopictopictopicTextTopic description
IndicatorIDindicatoridindicatoridTextIndicator lookup value
TopicIdtopicidtopicidTextTopic lookup value
PriorityArea3priorityarea3priorityarea3TextPriority Area (Healthy People 2020 or None)
PriorityArea4priorityarea4priorityarea4TextPriority Area (AHA 2020 Goals: Cardiovascular Health Metrics or None)
CategoryIdcategoryidcategoryidTextCategory lookup value
CategorycategorycategoryTextCategory description
Data_Value_Footnotedata_value_footnotedata_value_footnoteTextFootnote description
Break_Outbreak_outbreak_outTextBreak out group description
Data_Value_Footnote_Symboldata_value_footnote_symboldata_value_footnote_symbolTextSymbol that would be used to flag footnotes
PriorityArea1priorityarea1priorityarea1TextPriority Area (Million Hearts® or None)
Data_Value_Altdata_value_altdata_value_altNumberEqual to data value, but formatting is numeric
GeoLocation (zip)geolocation_zipgeolocation_zipText
Break_Out_Categorybreak_out_categorybreak_out_categoryTextBreak out category description
Data_Valuedata_valuedata_valueNumberData value (point estimate)
LowConfidenceLimitlowconfidencelimitlowconfidencelimitNumber95% confidence interval lower bound
BreakOutIdbreakoutidbreakoutidTextBreak out group lookup value
Data_Value_TypeIDdata_value_typeiddata_value_typeidTextData value type lookup value
Data_Value_Unitdata_value_unitdata_value_unitTextData Value Unit (%, rate per 100,000, etc.)
GeoLocationgeolocationgeolocationPointLatitude & Longitude to be provided for formatting GeoLocation or Geocode in the format (latitude, longitude)
LocationAbbrlocationabbrlocationabbrTextLocation abbreviation
GeoLocation (address)geolocation_addressgeolocation_addressText
HighConfidenceLimithighconfidencelimithighconfidencelimitNumber95% confidence interval upper bound
LocationDesclocationdesclocationdescTextLocation description
DataSourcedatasourcedatasourceTextAbbreviation of data source
LocationIDlocationidlocationidTextLocation lookup value

Upstream Metadata