Hospital Discharge Statistics - Diagnosis

KIC Hospital Discharge Statistics includes two components: discharges by procedures and discharges by diagnosis. Tabulations by year, age-group, race, sex, ethnicity, and county/area of residence are possible. The most current year for Hospital Discharge statistics is 2018. Beginning in 2003 tabulations by Hispanic Origin became possible. Hispanic origin for 1995 - 2002, will only display the total count, will not distinguish between Hispanic and Non-Hispanic. Pay source categories have been simplified. This resulted in re-processing of all years of hospital discharge data. When monitoring hospital discharge trends, counts and rates from prior years should be reanalyzed to account for these changes.

Procedural information is available at Discharge Statistics - Procedure. See the Hospital Discharge Notes and Limitations for more information on this dataset and its preparation.

On April 1, 2016, population estimates were updated with the newly released 2000-2009 intercensal population estimates, produced by the U.S. Census Bureau Population Estimates program. Introduction of the intercensal estimates could alter any results (rates / percentages) captured prior to April 1, 2016. For more detail, regarding population estimates, see KIC’s Notes & Limitations, section “Population Estimates”.

Choose the variables you want in your table. Certain variables can be limited in your search.
  Age Group
  Hispanic Origin
  Pay Source
  County / Areas
  Age Group
  Hispanic Origin
  Pay Source
  County / Areas
Hispanic   Non-Hispanic   Unknown   All
Age Group:
Pay Source:
Help & Notes Step 1. If you want to see your results by a geographic area, you must select county as a row or column variable. If you want to see statistics broken out by year or other variable, you will need to make that variable a row or column variable. You cannot make a variable both a row and column variable. The variables Age Group and Diagnosis, if selected as a row or column, have drill down breakouts that allow each category to be more specific. These drill down breakouts will only function completely with the selection of 'By County', 'By Health Preparedness Region' or 'By Geographic Region' in "Step 4". Help & Notes Step 2. These selections allow you to filter the resulting table to a specific subcategory. If one of Step 2 variables is also a row or column variable, then applying the filter will have no affect on the output table.
STEP 4 - 4.A & 4.B must be completed
Which year(s) would you like to include in your query? 4.A - Category Selection: Select a button for State, County, Region or Peer Group Statistics.
All Years| Clear All
State    Counties    Kansas Health Preparedness Regions
Geographical Regions (District Offices)    Peer Groups

4.B - Scroll to the above selected category in the list below and select the area or group of areas of interest. NOTE: Area lists will be "greyed out" and non-selectable except for the areas related to the category selected above. To select multiple areas in a give category, hold "Ctrl" Key down while making choices. See "Help & Notes" for further instructions.

NOTE: Counties in a region/group can be determined by viewing the resource maps page.
Help & Notes Step 3. If year is a row or column variable, then the table will display results by single year. If year is not a row or column variable, than the resulting table will aggregate the number of years you check. Data for new years will be added as it becomes available. Help & Notes Step 4. County/area Selections can only be made within the selected category, no cross category selections are allowed. If after viewing prior results you return to the query criteria page by using your browser's back button, the county/area list will be greyed out. To reactivate your selection click once on your original category. Your county/area selection(s) will be restored and ready for use. If another category is wanted, select it and scroll to the active section of the list.
Select which Diagnosis you wish to view from the list below. If you selected Diagnosis as your row variable, you may select multiple Diagnosis by holding down the Control Key and selecting the ones you want. This option is for displaying the number of patients and their length of stay in days. These can be displayed in individual tables or in sub-columns. To view rates for the number of patients, length of stay must not be selected as one of the sub-columns.
First subcolumn variable:
Number of Patients Length of Stay

Second subcolumn variable:
Number of Patients Length of Stay
Help & Notes Step 5. This displays rates by diagnosis or groups of diagnosis selected. To select multiple diagnosis, pick a diagnosis, then use the control key and pick the additional diagnosis. Help & Notes Step 6. This displays the number of patients and their length of stay in days by individual tables or in subcolumns. If viewing rates for the number of patients, length of stay must not be selected as one of the subcolumns.
Applies if you have chose length of stay as a sub-column in
Step 6.
You can select how you want to view the data:
Total Length of Stay
Average Length of Stay
Frequencies only
Frequencies and Rates (for number of patients)
Help & Notes Step 7. Average length of stay is a statistic that can be compared between geographic areas or among different procedure categories. If you wish to view rates for the number of patients discharged, this must be set to Total. Help & Notes Step 8. Select how you wish to view your results. Results can be viewed by frequencies only or frequencies and rates.
The following three menus pertain only to rates generated by the query system when "frequencies and rates" is selected in step 8. Your search is ready.  Click the Submit button.
Help & Notes Step 9. If you choose to view rates, you may view either crude or age-adjusted rates. Age-adjusting is recommended when comparing two geographic areas or different years. Year 2000 is the recommended population standard for age-adjusting. Confidence intervals are available for rates.

This page updated November 8, 2019.