Lown Institute Hospitals Index - onetomapanalytics/Meta_Data GitHub Wiki
Lown Institute Hospitals Index
General description
- Database primary purpose - Examine hospital social responsibility, calculating scores across 53 different metrics to capture performance in what really matters to the communities they serve.
- Overall data type - Health facilities
- Dataset type - Longitudinal
- Data source - Claims, Registry/cohort, survey, Internal Revenue Service (IRS)
- Data level - Hospital level
- Geographic location of the data collection sites - United States
- Sponsor, manager, or home institution - Lown Institute
- Date range - 2021 - 2022
- Geolocation data - State, city, address, zip code, region
- Hospital identifiers - Hospital name, CMS Certification Number for hospitals, and modified AHRQ (Agency for Healthcare Research and Quality) ID for systems
- Longitudinal tracking - Track hospitals
- Financial variables - Grades/stars for cost efficiency and pay equity
- Clinical areas of interest - all
- Number of records - 3,764 general acute care and critical access hospitals (549 for-profits, 2,444 private nonprofits, and 771 public nonprofits) (1)
- Variables that are uniquely present in this dataset -
- Database caveats and limitations - The following types of hospitals are not available: (1) non-acute care and non-critical access hospitals; (2) federal hospitals (e.g. Veterans Health Administration); (3) hospitals outside of the 50 states and Washington D.C.; (4)Kaiser Permanente system hospitals; (5) hospitals with more than 45% admissions for orthopedic, more than 45% for cardiac, more than 80% surgical procedures, more than 80% elective surgeries (among hospitals with > 45% surgical procedures); (6) hospitals that were closed as of October 2021 by checking against Care Compare; and (7) hospitals with patient volume below 50 annual patient stays.
Applicable methods
- Association models, such as logistic regression (2, 3), Cox regression (4)
- Area under the curve (5)
- Propensity scores (6, 7)
- Mediation analysis (8, 9)
Data dictionary
To access Lown Institute Hospital Index data dictionary, click here
Variable categories
- Hospital type (e.g., acute care, critical access, academic medical center, safety net, for-profit, non-profit, urban/rural)
- Rankings (e.g., Lown rank, outcomes rank, equity rank, inclusivity rank)
- Grades (e.g., for patient safety and experience, avoiding overuse, community benefits)
- Stars (e.g., quietness, cleanliness, recommendation)
Linkage to other datasets
- Linkages can be established for any dataset that might have geolocation data [e.g., zip code] or hospital identifiers (name, CMS or AHRQ IDs)