KHN - Kaiser Health News Data

General description

1. Database primary purpose - To report on how the health care system (i.e., hospitals, doctors, nurses, insurers, governments, consumers) works.
2. Overall data type - Health facilities
3. Dataset type - Longitudinal
4. Data source - Claims
5. Data level - Hospital level
6. Geographic location of the data collection sites - United States
7. Sponsor, manager, or home institution - Kaiser Family Foundation
8. Date range - 2015 - 2023
9. Geolocation data - City, state, county, ZIP code
10. Dates - Year
11. Hospital identifiers - Provider ID, name
12. Longitudinal tracking - Track hospitals using provider ID or name
13. Clinical areas of interest - all
14. Variables that are uniquely present in this dataset - Readmissions penalties (i.e., penalties for hospitals that readmit too many people within 30 days) and Hospital-acquired conditions (HAC) (i.e., penalties for hospitals with excess numbers of patient injuries)

Applicable methods

1. Association models, such as logistic regression (1), and Generalized Linear Models (2)
2. Propensity scores (3, 4)
3. Exploratory analysis (5)

Data dictionary

To access the KHN data dictionary, click here

Variable categories

1. Hospital information (i.e., ID, name, geolocation)
2. Readmissions and HAC penalties

Linkage to other datasets

• Linkages can be established for any dataset that might have Hospital identifiers (name or provider ID) or geolocation variables (city, county, ZIP code)