AHA American Hospital Association Annual Survey database - onetomapanalytics/Meta_Data GitHub Wiki

AHA - American Hospital Association Annual Survey database

General description

  1. Database primary purpose - Provide a comprehensive snapshot of U.S. hospitals based on primary survey data
  2. Overall data type - Health facilities
  3. Dataset type - Longitudinal
  4. Data source - Survey
  5. Data level - Hospital, health system, and hospital network levels.
  6. Geographic location of the data collection sites - United States
  7. Sponsor, manager, or home institution - American Hospital Association
  8. Date range - 2013 - 2020
  9. Geolocation data - hospital zip code, address, city, county, and state code
  10. Dates - Year
  11. Hospital identifiers - AHA Hospital Number, AHA Health Care System Identifier, Hospital name, and Medicare Provider ID
  12. NPI - Yes
  13. Longitudinal tracking - Tracking hospitals
  14. Financial variables - Payroll, overall facility expenses, and indemnity fees
  15. Clinical areas of interest - all
  16. Number of records - nearly 6300 hospitals and 400+ health care systems
  17. Variables that are uniquely present in this dataset - With the exception of financial data, the AHA is the primary database in the US regarding hospital-related information.

Applicable methods

  1. Association methods, such as Logistic regression (1)
  2. Machine learning techniques, such as Regression (2)
  3. Cluster analysis (3)
  4. Causal modeling

High-impact designs

  • Enrichment of the AHA dataset through linkage to other datasets, such as Medicare Provider Analysis and the Area Resource File (ARF) (4), State Inpatient Databases (SID) (5, 6, 7, 8), and Centers for Medicare & Medicaid Services Hospital Cost Reports (6)

  • Using AHA database to identify hospitals of interest for a new survey regarding acute care surgery (ACS) (6)

Data dictionary

To access the data dictionary, click here

Variable categories

  1. Hospital variables [hospital utilization (e.g., beds number and type, hospital services such as surgical centers, imaging center, obstetric units, etc.), personnel (e.g., number of physicians, technicians, nurses, etc.) and finances (e.g., payroll, salary model, overall hospital expenses)]

Linkage to other datasets

  • Supplements the data elements in the SID, State Ambulatory Surgery and Services Databases (SASD), State Emergency Department Databases (SEDD), and CMS claims databases.

  • AHA can theoretically be linked to any dataset where the hospital name and city are mentioned, although that linkage might require the use of NLP and manual checking.