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The AHA Annual Survey Database is the standard census of U.S. hospitals: an annual organization-level record of services offered, bed counts, admissions, staffing, ownership type, control (nonprofit, for-profit, government), and system or network affiliation. It is the standard source for the hospital denominator in health-economics and hospital-finance research, usually joined to financial filings (IRS Form 990, Medicare cost reports) on a hospital identifier. A paper we distill uses it: Lewellen uses the AHA Annual Survey (2000 to 2018) for hospital services, operations, and system affiliation alongside IRS Form 990 financials in a study of female hospital CEOs.

  • Cost: licensed, subscription. No free tier; academic licences are available, often through a data distributor.
  • Vendor: American Hospital Association (AHA Data). Academic copies are frequently obtained via the Dartmouth Institute or a university library.
  • Coverage: annual, organization-level, all U.S. registered hospitals (community, federal, specialty), going back decades; affiliation and system fields make it a standard source for tracking consolidation.
  • Through an AHA data licence. Extracts are delivered as annual flat files (one record per hospital per year) under a use agreement; many researchers receive them through an institutional subscription rather than directly.
  • Stable hospital identifier. The AHA ID is the linking key to Medicare cost reports (via a crosswalk) and other hospital data; build joins on it rather than on hospital name.
  • Credentials or a signed agreement are required. Keep any credentials in .env, never hard-coded.

These are the failure modes to expect; they are documented, not verified here.

  • It is a survey, so response and item completeness vary. Not every hospital responds every year, and individual fields can be blank or imputed by the AHA. A field present in one year may be missing in the next for the same hospital. Check the completeness flags before treating a series as a panel.
  • The unit is the hospital, not the system. A multi-hospital system appears as several records; system affiliation is a field, not the row grain. Studies of consolidation must aggregate carefully and watch for re-affiliation across years.
  • Definitions and questionnaire fields change over time. Service categories, bed-type breakdowns, and ownership codes have been revised across survey vintages; a variable name can refer to different things in different years. Reconcile against the year-specific documentation before pooling.
  • Linking to financial filings is many-to-one and lossy. One IRS Form 990 or cost-report entity can span several AHA hospitals (and vice versa); the crosswalk is approximate. The citing paper joins AHA operational data to Form 990 financials, exactly the kind of merge where mismatches drop observations.
  • No patient-level or clinical-outcome data. The survey is organizational (capacity, services, ownership), not clinical; quality and outcome measures come from separate sources (CMS metrics, HCRIS). Do not expect mortality or readmission fields here.

Cite the source and product, e.g.: AHA Annual Survey Database (American Hospital Association), [year(s)], accessed YYYY-MM-DD. State the survey years used, how missing or imputed fields were handled, and the identifier used to link to financial or outcome data.

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