AMGA Medical Group Compensation and Productivity - onetomapanalytics/Meta_Data GitHub Wiki

AMGA Medical Group Compensation & Productivity

General description

  1. Database primary purpose - To provide the most current national compensation data aiming to help one make informed decisions to compensate fairly and competitively with trustful data
  2. Overall data type - Providers compensation and productivity
  3. Dataset type - Cross-sectional
  4. Data source - Survey
  5. Data level - provider level
  6. Geographic location of the data collection sites -
  7. Sponsor, manager, or home institution - American Medical Group Association - AMGA
  8. Date range - 2015 - 2018
  9. Dates - Year
  10. Financial variables - Compensation, gross productivity, and work RVU (Relative Value Units)
  11. Clinical areas of interest - all
  12. Variables that are uniquely present in this dataset - The survey is compiled from hundreds of multispecialty medical groups each year, providing benchmarking for more than 170 specialties, along with salary and bonus data for dozens of executive positions (1).

Applicable methods

  1. Association models, such as logistic regression (2)
  2. Propensity scores (3)

Data dictionary

To access the AMGA Medical Group Compensation & Productivity data dictionary, click here

Variable categories

  1. Provider specialty (e.g., name, group, type)
  2. Compensation and productivity data