Medical Expenditure Panel Survey Public Use File Details

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MEPS HC-213D: 2019 Hospital Inpatient Stays File

Release date: June 2021

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This public use file is one in a series of event-level public use files drawn from the 2019 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 2019. Each record represents one household-reported inpatient hospital stay reported during the 2019 portion of Round 3 and Rounds 4 and 5 for Panel 23, as well as Rounds 1, 2 and the 2019 portion of Round 3 for Panel 24 of the survey (i.e., the rounds for the MEPS panels covering calendar year 2019). 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

File type

Documentation	PDF (386 KB) / HTML
Codebook	PDF (180 KB) / HTML*
SAS Programming Statements	TXT (39 KB)
SPSS Programming Statements	TXT (8.0 KB)
STATA Programming Statements	TXT (11 KB)
R Programming Statements	TXT (8.3 KB)

Data	File type**

Data File, ASCII format

ZIP (176 KB)

Data File, SAS transport format

ZIP (200 KB)

Data File, SAS V9 format

ZIP (225 KB)

Data File, Stata format

ZIP (192 KB)

Data File, XLSX format

ZIP (499 KB)

Questionnaires — see Survey Questionnaires
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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