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MEPS HC-220D: 2020 Hospital Inpatient Stays File |
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Release date: July 2022
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This public use file is one in a series of event-level public use files drawn from the 2020 Medical Expenditure Panel Survey (MEPS) Household Component (HC). Released as an ASCII file with SAS, SPSS, and STATA and R programming statements, a SAS V9 file, a XLSX file, and a Stata file, the Hospital Inpatient Stays File provides detailed information on hospital inpatient stays. 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 inpatient hospital stay utilizations and expenditures for calendar year 2020. Each record represents one household-reported inpatient hospital stay 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 Hospital Inpatient Stays Public Use Data File is an event-level data file containing characteristics associated with the hospital inpatient stay event such as: the date of the hospital inpatient stay, reason for the stay, types of services received, whether or not medicines were prescribed, and imputed expenditure data. For more details on loading MEPS PUFs into R, SAS, and Stata, please visit the MEPS GitHub page.
Documentation |
PDF (456 KB)
/ HTML
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Codebook |
PDF (161 KB)
/ HTML*
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SAS Programming Statements |
TXT (39 KB) |
SPSS Programming Statements |
TXT (8.1 KB) |
STATA Programming Statements |
TXT (11 KB) |
R Programming Statements |
TXT (8.3 KB) |
Data File, ASCII format |
ZIP (125 KB)
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Data File, SAS transport format |
ZIP (154 KB)
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Data File, SAS V9 format |
ZIP (172 KB)
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Data File, Stata format |
ZIP (150 KB)
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Data File, XLSX format |
ZIP (395 KB)
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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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