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MEPS HC-220G: 2020 Office-Based Medical Provider Visits File |
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Release date: July 2022
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This public use data file is one in a series of event-level public use data files drawn from the 2020 Medical Expenditure Panel Survey (MEPS) Household Component (HC). Released as an ASCII file with SAS, SPSS, STATA and R programming statements, a SAS transport file, a SAS V9 file, a XLSX file, and a Stata file, the Medical Provider Visits File provides detailed information on office-based medical provider visits. Data are gathered from a nationally representative sample of the civilian, noninstitutionalized population of the United States and can be used to make estimates of office-based medical provider utilizations and expenditures for calendar year 2020. Each record represents one household-reported office-based medical provider visit from Rounds 6-7 for Panel 23, Rounds 3-5 for Panel 24, and Rounds 1-3 for Panel 25 (i.e., the rounds for the MEPS panels covering calendar year 2020). This year, 2020, is the first data year to include three panels of data; Panel 23 was extended to include Rounds 6 and 7. The Office-Based Provider Public Use Data File contains characteristics associated with the office-based visit, such as, date of the visit, time spent with the provider, types of treatment and services received, types of medicine prescribed, expenditures, and sources of payment associated with the visit. For more details on loading MEPS PUFs into R, SAS, and Stata, please visit the MEPS GitHub page.
Documentation |
PDF (482 KB)
/ HTML
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Codebook |
PDF (168 KB)
/ HTML*
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SAS Programming Statements |
TXT (39 KB) |
SPSS Programming Statements |
TXT (12 KB) |
STATA Programming Statements |
TXT (16 KB) |
R Programming Statements |
TXT (8.3 KB) |
Data File, ASCII format |
ZIP (2.4 MB)
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Data File, SAS transport format |
ZIP (3.2 MB)
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Data File, SAS V9 format |
ZIP (3.5 MB)
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Data File, Stata format |
ZIP (2.9 MB)
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Data File, XLSX format |
ZIP (17 MB)
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— see Survey Questionnaires
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*The PDF version of the codebook is recommended for printing; the HTML version is database driven and lets you navigate quickly to details on each variable.
**Right-click on the data file link, then select Save Target As or Save Link As to download the file.
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