Five Favorite Datasets
CMS Approved Facilities - FQHC, RHC, CAH
| Description | This service provides information on Center of Medicare & Medicaid Services (CMS) approved facilities such as federally qualified health centers (FQHCs), rural health clinics, critical access hospitals and nursing facilities. |
| Time Frame | Updated on Unknown Basis; Current |
| Spatial Scale | Point |
| Format | Feature Service |
| Source | Health Resources & Services Administration (HRSA) |
| Original Repository | Current (Additional Information) |
| Living Atlas | Hosptials |
Details
This is the “Provider of Service” extract from the Quality Improvement Evaluation System (QIES) database maintained by the Centers for Medicare & Medicaid Services (CMS). These data include provider number, name, and address and characterize the participating institutional provider (including hospitals, skilled nursing facilities, home health agencies, and other types of facilities).
Add to an ArcGIS Project by using “Data from Path” and paste the above URL as the server to use. Export using Feature Class to Feature Class.
Division for Heart Disease and Stroke Prevention - Heart Disease and Stroke Mortality
| Description | Heart Disease and Stoke Mortality |
| Time Frame | Three year average from 2005-2007 to 2019-2021 |
| Spatial Scale | States, Counties |
| Format | Tables |
| Source | Centers for Disease Control and Prevention (CDC) Division for Heart Disease and Stroke Prevention |
| Original Repository | Interactive Data Atlas |
| Living Atlas |
Details
Offers Heart Disease and Stroke mortality data obtained from the National Vital Statistics System. Data can be stratified by age, race/ethnicity, and gender. The Interactive Atlas of Heart Disease and Stroke offers a way to visualize, export, and generate reports from heart disease and stroke mortality data, as well as data regarding…
- Prevalence
- Risk Factors
- Social, Economic, Environmental variables
- Demographics
- Health Care Delivery and Insurance
- Health Care Costs
Mapping Medicare Disparities
| Description | Health outcomes measures to map Medicare disparities |
| Time Frame | Updated on Unknown Basis; Current |
| Spatial Scale | State/Territory, County, Tract (depending on measure) |
| Format | CSV |
| Source | Center of Medicare & Medicaid Services |
| Original Repository | Current (date listed) |
| Living Atlas | N/A |
Details
Composed of multiple tools which display disparities through three views:
- Population - “The MMD interactive tool contains health outcome measures for disease prevalence, costs, hospitalization for 60 specific chronic conditions, emergency department utilization, readmissions rates, mortality, preventable hospitalizations, and preventive services.”
- Hospital - “The MMD interactive map hospital tool identifies area of disparities between hospital quality and cost of care. It allows for a way to compare measures at the hospital, county, state, territory, and national levels”
- Social Determinants of Health - “This addition to the MMD tool identifies areas of disparities by key Social Determinant of Health (SDOH) domains and measures”
Population Level Analysis and Community Estimates (PLACES)
| Description | The PLACES Project replaces the 500 Cities Project and provides model-based population-level analysis and community estimates for the entire US at several spatial scales |
| Time Frame | Year; 2019 to 2023 |
| Spatial Scale | Counties, Places, ZCTAs, and Census Tracts |
| Format | Tables and Shapefiles |
| Source | Centers for Disease Control and Prevention (CDC) |
| Original Repository | All Years |
| Living Atlas | Current |
Details
This project reported city- and census tract-level data and used small area estimation methods to obtain 29 chronic disease measures for the United States.
Dataset includes estimates for 29 measures (definitions here):
- Chronic Disease Related Health Outcomes (13)
- Prevention Measures (9)
- Health Risk Behaviors (4)
- Disability (7)
- Health Status (3)
These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations.
Social Vulnerability Index (SVI)
Details
Ranking by social vulnerability. Can look at rank within a state or within the entire US. A composite measure based on four dimensions:
Can also map by individual dimension.