Medical Expenditure Panel Survey Public Use File Details

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MEPS HC-213E: 2019 Emergency Room Visits File

Release date: June 2021

	Notes on viewing and downloading files
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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 transport file, a SAS V9 file, a XLSX file, and a Stata file, the Emergency Room Visits File provides detailed information on emergency room 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 emergency room utilizations and expenditures for calendar year 2019. Each record represents one household-reported emergency room visit 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 Emergency Room Visits Public Use Data File contains characteristics associated with the emergency room visit, such as, the date of the visit, types of care and services received, types of medicine prescribed during the visit, 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

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 (300 KB)

Data File, SAS transport format

ZIP (350 KB)

Data File, SAS V9 format

ZIP (393 KB)

Data File, Stata format

ZIP (325 KB)

Data File, XLSX format

ZIP (940 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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