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US Heart & Stroke Prevention Data
Patient Health Records & Digital Health
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About
Heart Disease & Stroke Prevention data is compiled from CMS claims data, focusing on Medicare and Medicaid patients across various categories and years. This includes Inpatient and Outpatient claims, Master Beneficiary Summary Files, and other related files. Indicators within this data have been computed by personnel from the CDC's Division for Heart Disease and Stroke Prevention (DHDSP). The system aims to integrate multiple indicators from various data sources to present a detailed view of the public health burden of Cardiovascular Diseases (CVDs) and associated risk factors in the United States. The data is organised by location (national and state) and specific indicators, enabling the plotting of trends and stratification by sex and race/ethnicity.
Columns
- Year: The calendar year for the data, spanning from 2004 to 2013.
- LocationAbbr: An abbreviation for the geographic location, such as a state or national identifier.
- LocationDesc: A full description of the geographic location, e.g., United States or individual states.
- DataSource: The abbreviation of the original data source, which is consistently Medicare in this dataset.
- PriorityArea1: Indicates if the data relates to the Million Hearts® priority area or is categorised as 'None'.
- PriorityArea2: Indicates if the data relates to the ABCS priority area or is categorised as 'None'.
- PriorityArea3: Indicates if the data relates to the Healthy People 2020 priority area or is categorised as 'None'.
- PriorityArea4: Indicates if the data relates to the AHA 2020 Goals: Cardiovascular Health Metrics priority area or is categorised as 'None'.
- Category: A description of the data's broad category, consistently 'Cardiovascular Diseases'.
- Topic: A description of the specific topic within cardiovascular diseases, such as 'Heart Failure' or 'Coronary Heart Disease'.
- Indicator: A description of the specific metric measured, for example, 'Prevalence of heart failure hospitalizations among all hospitalizations, US Medicare FFS beneficiaries (65+)'.
- Data_Value_Type: The type of data value provided, such as 'mean', 'rate', or 'percentage', consistently 'Crude'.
- Data_Value_Unit: The unit of the data value, for instance, 'Percent (%)' or 'Rate per 1,000'.
- Data_Value: The primary data value, representing the point estimate.
- Data_Value_Alt: A numeric formatted version of the data value.
- Data_Value_Footnote_Symbol: A symbol used to flag footnotes, such as '~'.
- Data_Value_Footnote: A description of the footnote, for example, 'Statistically unstable estimates not presented [numerator <10]'.
- LowConfidenceLimit: The lower bound of the 95% confidence interval for the data value.
- HighConfidenceLimit: The upper bound of the 95% confidence interval for the data value.
- Break_Out_Category: A description of the category by which data is broken out, such as 'Race' or 'Gender'.
- Break_Out: A description of the specific group within the break-out category, such as 'Female' or various racial groups.
- CategoryId: A lookup value for the category.
- TopicId: A lookup value for the topic.
- IndicatorID: A lookup value for the indicator.
- Data_Value_TypeID: A lookup value for the data value type.
- BreakOutCategoryId: A lookup value for the break-out category.
- BreakOutId: A lookup value for the break-out group.
- LocationID: A lookup value for the geographic location.
- GeoLocation: Latitude and longitude coordinates provided for geographic location or geocode in (latitude, longitude) format.
Distribution
The dataset is provided in a CSV file format, specifically named
heart_disease_data.csv, and occupies 15.19 MB of storage. It consists of 29 distinct columns. The data contains approximately 42,600 records or rows, with some columns having slightly fewer valid entries. The time series data ranges from the year 2004 to 2013.Usage
This dataset is well-suited for:
- Public Health Surveillance: Monitoring trends and patterns in cardiovascular diseases and associated risk factors.
- Policy Development: Informing the creation and evaluation of public health policies aimed at preventing heart disease and stroke.
- Epidemiological Studies: Analysing the burden of CVDs across different demographics and geographic areas.
- Healthcare Resource Planning: Understanding the prevalence of hospitalisations related to heart conditions among Medicare beneficiaries.
- Health Disparity Analysis: Examining variations in health outcomes by stratifying data by sex and race/ethnicity.
Coverage
The geographic scope of this dataset spans the United States, with data available at both national and state levels. The time range covered is from 2004 to 2013. Demographically, the data focuses on Medicare and Medicaid patients, with indicators capable of being stratified by sex and race/ethnicity.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: For analysing trends and risk factors related to cardiovascular health.
- Government Agencies: For policy formulation and programme evaluation in health.
- Healthcare Providers: To understand patient demographics and prevalence of conditions.
- Data Scientists and Analysts: For developing models and insights into chronic disease management.
- Academics: For educational purposes and epidemiological studies.
Dataset Name Suggestions
- US Heart & Stroke Prevention Data (Medicare/Medicaid)
- Cardiovascular Disease Indicators (CMS Claims, US)
- Medicare/Medicaid Heart Health Trends
- National & State CVD Public Health Data
- US Heart Disease & Stroke Surveillance
Attributes
Original Data Source Link : US Heart & Stroke Prevention Data
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