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Cardiovascular Disease (CVD) Primary Care Dataset
Public Health & Epidemiology
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About
The Cardiovascular Disease (CVD) Primary Care Dataset provides insights into cardiovascular health monitoring across different NHS Clinical Commissioning Groups (CCGs) in the UK. The dataset includes patient-level data on conditions such as hypertension, atrial fibrillation, cholesterol levels, and cardiovascular risk assessments. It helps healthcare professionals, policymakers, and researchers track trends and improve care strategies.
The dataset provides a comprehensive collection of metrics related to the prevalence of cardiovascular disease (CVD), the extent of treatment coverage, and the results of risk assessments. This rich trove of information offers crucial insights into the management of the disease, highlights existing healthcare disparities, and evaluates the effectiveness of various preventive measures. We can better understand the factors influencing CVD outcomes and identify opportunities for improving healthcare strategies by analyzing these details.
Dataset Features
- Area_Code: Unique identifier for the NHS Clinical Commissioning Group (CCG) or region.
- Area_Code_Geography_Name: Name of the NHS CCG or regional health authority.
- Category_Attribute: Attribute category (e.g., male, female, persons).
- Denominator: Total number of patients in the specific category.
- Factor: Additional factor influencing analysis (if applicable).
- Indicator_Code: Unique code identifying the specific CVD-related metric.
- Lower_CI: Lower bound of the confidence interval for the measured value.
- Metric_Category_Name: Name of the broader metric category (e.g., age, sex, etc.).
- Numerator: Number of patients meeting the specified condition or treatment criteria.
- Upper_CI: Upper bound of the confidence interval for the measured value.
- Value: The actual percentage or rate for the given metric.
- Value_Note: Additional notes regarding value interpretation (e.g., "Value suppressed for disclosure control due to small count").
- Effective_Snapshot_Date: Date when the data was last recorded.
- Report_Period_Length: Time period covered by the dataset (e.g., "To Date" for cumulative data).
- Indicator_Name: Full description of the measured health indicator.
- Indicator_Short_Name: Concise name for the indicator (e.g., "Cholesterol Monitoring").
- Metric_Category_Type_Name: The type of metric category (e.g., age group, sex, deprivation level).
Original Data Source: The Cardiovascular Disease Prevention Audit (CVDPREVENT)
Distribution
Usage
This dataset is ideal for various applications, including:
- Healthcare Analysis: Assessing cardiovascular disease prevalence and monitoring patient treatment.
- Public Health Policy Development: Evaluating the effectiveness of NHS interventions in preventing heart disease.
- Machine Learning & Predictive Analytics: Developing models to predict CVD risk and optimize treatment strategies.
- Epidemiological Research: Understanding trends in cholesterol levels, hypertension, and atrial fibrillation across different populations.
Coverage
The dataset covers cardiovascular health records from NHS regions and CCGs across the UK. Data snapshots range from 2020 to 2024, capturing various reporting periods. The dataset includes different age groups, sex categories, and socioeconomic factors (e.g., deprivation levels).
License
CUSTOM
Please review the respective licenses below:
-
Data Source License
-
Data Provider's License
You must comply with the licensing terms set by both the source and the data provider.
Who Can Use It
- Data Scientists: For training predictive models on cardiovascular health trends.
- Researchers: For academic studies on public health and disease prevention.
- Businesses: For insights into healthcare services, risk assessment, and pharmaceutical research.
- Healthcare Professionals & Policymakers: To enhance medical decision-making and resource allocation.
Suggested Dataset Names
- NHS CVD Primary Care Insights
- UK CVD Prevalence & Treatment Data
- CVD_Prevent.rpt_Sub_ICB_Indicator_Data
Video
This video provides an overview of the complete data collection within this topic.
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