Medical conditions, 1996-2015 pulse

These MEPS summary tables provide statistics on the number of people with care for medical conditions, health care utilization, total expenditures, and mean expenditures per person by medical condition. For 1996-2015, household-reported conditions are coded into ICD-9 codes, which are then collapsed into the Condition categories in the tables below. (Visit Medical conditions, 2016 and later for tables based on ICD-10 codes).

Data can be viewed over time or for a single year by event type (such as prescription medicines or outpatient events), source of payment (such as Medicare or Medicaid), or demographic characteristics (such as age, race, or sex).

Use the options below to select a statistic 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 table can be sorted by condition name or data value by clicking on the column header. To view the data as a plot, with line graphs for trends over time and grouped bar graphs for the cross-sectional view, select up to 10 rows by clicking in the table. The generated tables and plots 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. Example R, SAS, and Stata code for generating selected tables are available at the MEPS GitHub repository.

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Update 9/2020: 2016 and 2017 data tables were updated based on the v2020.2 release of the CCSR crosswalk. (Data tables for later years are based on the CCSRs released on the PUFs).

Medical conditions are based on conditions for which treatment was received, where treatment includes emergency room visits, home health care, inpatient stays, office-based visits, outpatient visits, and prescription medicine purchases. Other medical equipment and services and dental visits are not included in these tables since medical conditions are not collected for these event types.

Several changes have occurred in the collection and processing of MEPS condition data that may impact analysis of trends over time:

(1) Starting in 2007, new survey questions were introduced into MEPS asking participants about whether they had been told they have certain priority health conditions. This change in the survey methodology may have impacted responses for utilization and expenditures related to the following conditions: hypertension, heart disease, cerebrovascular disease, COPD, asthma, hyperlipidemia, cancer, diabetes mellitus, and osteoarthritis.

(2) From 1996-2015, household-reported medical conditions were coded into ICD-9 and CCS codes, which were then collapsed into broad Condition categories. Starting in 2016, household-reported medical conditions were coded into ICD-10 and CCSR codes before collapsing into Condition categories. This discontinuity is presented in two separate table series: Medical conditions, 1996-2015 for conditions based on ICD-9 codes and Medical conditions, 2016 and later for conditions based on ICD-10 codes. Extreme caution must be taken when comparing data on medical conditions before and after this transition, due to fundamental differences between the ICD-9 and ICD-10 codes, as well as the CCS and CCSR codes. In addition, several of the collapsed condition categories in the MEPS Summary Tables have been updated. For example, "Appendicitis" and "Other GI" conditions are now included in the "Other stomach and intestinal disorders" category.

The transition from ICD9/CCS codes to ICD10/CCSR codes is an ongoing process. The data in these tables may be updated whenever updated CCSR codes are released. Crosswalks between the CCS[R] and collapsed Condition categories can be found at the AHRQ GitHub site External Link More information on CCS[R] coding can be found at the HCUP website:

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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