Accessibility and quality of care ambulance

These MEPS summary tables provide statistics on accessibility and quality of care, such as percentage of the population with a usual source of care, persons with difficulty accessing needed care, persons with diabetes care, and patient-reported quality of doctor's visits. Data can be viewed over time or for a single year by demographic characteristics (such as age, race, or sex).

Use the options below to select a statistic (number or percentage of people), variable of interest, data view ("Trends over time" or "Cross-sectional"), and data years. If you select "Trends over time", you can choose a range of years. The "Cross-sectional" view displays a single year, which can be stratified by a grouping variable. Once a grouping variable is selected, a dropdown will appear, enabling selection of specific levels in each group.

After you select the available options, the table will automatically be updated. The data can be viewed as a plot under the "Plot" tab, with line graphs for trends over time and grouped bar graphs for the cross-sectional view. The "Code" tab displays R and SAS code needed to replicate the data shown in the table. The generated table, plot, and codes can be downloaded with the download button under each tab. To view standard errors in the table or 95% confidence intervals in the plot, select the "Show standard errors" checkbox.

Select data view:
Select years
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Download code

To run the code, first download and unzip the required public use data files from the MEPS data files page, and save them to your computer. More information on downloading and analyzing MEPS data in R, SAS, and Stata can be found at the AHRQ GitHub site External Link. Note that some standard error estimates may differ between R and SAS, since SAS doesn't support any options to adjust for lonely PSUs.

The following code can be used to generate the selected estimates, where the SAS transport data files (.ssp) have been saved to the folder 'C:\MEPS'. For trend estimates, example code is shown for the most recent year selected:


      

Notes

This tool is provided as a convenience. It is the responsibility of the user to review results for statistical significance and overall reasonableness.

About the data

The MEPS Household Component collects data on all members of sample households who are in-scope for the survey. These data can be used to produce nationally representative estimates of medical conditions, health status, use of medical care services, charges and payments, access to care, experience with care, health insurance coverage, income, and employment. The target population represented in the tables and figures is persons in the U.S. civilian non-institutionalized population for all or part of the year.

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