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Last Edited: 1/10/14

Asthma Hospitalization and Emergency Department Visits Query Results

This query system automatically generates a table, map, and chart using the criteria you have chosen. To see the data in your desired format, click on the corresponding tabs below. View the Info tab to learn about the data and how they can be used. View the Sources tab for information about the underlying data sources.

To modify your query, click on the yellow box to the right. Options for other ways to visualize the data are listed on the right side bar.

Asthma Hospitalizations and Emergency Department (ED) Visits

What are asthma hospitalizations or ED visits?

This asthma indicator represents people with severe asthma or poorly managed asthma, who end up being hospitalized or visit an ED for their asthma, expressed as a rate per 10,000 California residents. Asthma hospitalizations and ED visits are very serious, often preventable, and very costly.

COUNTY-LEVEL DATA

What do these data tell us? How can I use this data?

  • These data can be used to compare the total number and rates of asthma hospitalizations or ED visits by county.
  • These data identify which counties have the highest or lowest asthma hospitalization or ED visit rates.
  • These data identify which counties have hospitalization or ED visit rates higher than the State.
  • These data can be used to identify which segments within the county population (e.g. Latino, children) are at highest risk for asthma hospitalizations or ED visits.
  • This information can inform public health practitioners and health care service providers in program planning and in targeting interventions.

What can't these data tell us?

  • These data can not tell us what neighborhoods within the county are at highest risk for asthma hospitalizations or ED visits.
  • These data can not tell us what causes asthma hospitalizations or ED visits.
  • These data alone can not tell us the total burden of asthma in a county

ZIP CODE-LEVEL DATA

What do these data tell us? How can I use this data?

  • These data can be used to compare the rates of asthma ED visits by zip code.
  • These data identify which zip codes have the highest or lowest rates of asthma ED visits.
  • These data can be used to identify which age groups within the zip code population (e.g. children 0-17) are at highest risk for asthma ED visits.
  • This information can inform public health practitioners and health care service providers in program planning and in targeting interventions.

What can't these data tell us?

  • These data cannot tell us what neighborhoods within the zip code are at highest risk for asthma hospitalizations or ED visits.
  • These data cannot tell us what causes asthma hospitalizations or ED visits.
  • These data alone cannot tell us the total burden of asthma in a zip code.

 

Data Sources & Limitations

Hospitalization and Emergency Department Data

These figures are based on hospitalization and emergency department (ED) data from the Office of Statewide Health Planning and Development (OSHPD), which is responsible for routinely collecting data from hospitals in California.

The datasets include information like age, gender, race/ethnicity, and diagnosis. A case due to asthma is identified by looking at the principal diagnosis based on the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM). A principal diagnostic ICD-9-CM code of 493 indicates a patient who was admitted to a hospital or visit an ED because of asthma.

Population Data

County-level population estimates are from the California Department of Finance (DOF). DOF uses year 2000 population data collected by the U.S. Census Bureau and takes into account survival rates, migration patterns, and fertility rates for California to project the California population by county, race/ethnicity, age, and gender for 2000-2050.

Zip code-level population estimates are based on 2000 population data collected by the U.S. Census Bureau, zip code routes from the U.S. Postal Service, and other data sources to estimate population counts at the zip code level. Please note that zip codes do not have exact spatial boundaries, change very frequently, and can cross city and county boundaries.

For more information on the data sources and limitations, go to the methods section.

Why Some Query Submissions Return No Results

Users request data by selecting from a number of choices, or parameters. For the Asthma data query, these parameters include indicator (e.g. hospitalizations), time period, race/ethnicity group, age group, gender, geographic unit, and calculation method.

Query results have been calculated ahead of time and entered into our data system. This allows the system to respond to query results more quickly. Once the query is submitted, results are provided to the user.

The query tool is designed to give the user maximum flexibility for requests. However, some combinations of parameters do not have corresponding results in our data system. This is why a data query may not return results.

There are a number of reasons why results may not be available for certain combinations of parameters. Most common reasons include:

  • The data do not presently exist. Data availability is subject to resource and logistical limitations.
  • We have not calculated results for the specific query combination. Calculating results requires time and resources. Therefore, we prioritized calculating results for the measures and parameter combinations that we anticipated would meet the most common needs and be of most interest to the public.

Frequently, user needs can be met by slightly altering the parameters in question. If this is not the case, please feel free to contact us with your specific data request: data@cehtp.org

Which Asthma Query Submissions Will Not Work

For the Asthma data query system specifically, the following combinations do not have results calculated:

  • Selecting the "spatially modeled" calculation method for any single race/ethnic group will not produce results. These have not been calculated because few racial and/or ethnic groups are represented state-wide, which makes modeled rates difficult to interpret.

If you are interested in any of the parameter combinations that we have not yet calculated, it may be that you are pursuing questions that, although valid, have not occurred to us. Please feel free to contact us with your specific data request: data@cehtp.org

* To see more-detailed county-specific data, click on the county name in the Table tab

* Produce estimates for areas where data are sparse

* Request more Asthma information from CEHTP

Notes about the data

    [[indicatorHTML]]
  • The 95% Confidence Interval (CI) is the range of values that likely contains the true [[indicator]] in the population. For more information...
  • NA-The data are not available due to the number of events being less than 12.
  • [[modeledFootnote]]
 

Notes about the data

 

Notes about the data

    [[indicatorHTML]]
  • The 95% Confidence Interval (CI) is the range of values that likely contains the true [[indicator]] in the population. The CI is displayed as light green bars on the chart. Link to methods section
  • California statewide [[indicator]] is [[stateValue]] and is displayed as the thin purple line running the entire distance of the chart.
  • [[modeledFootnote]]
 
  • Asthma hospitalizations represent people with severe asthma who end up being hospitalized because of their asthma. Although there is no cure, asthma can be controlled with regular preventative healthcare, a clear asthma action plan, medication, and by avoiding known asthma triggers. For more information...
  • Asthma symptoms and asthma attacks have been found to be associated with both indoor and outdoor environmental factors. For more information...
  • Data Source: Patient Discharge Database from the California Office of Statewide Health Planning and Development, [[year]].
  • Asthma emergency department (ED) visits represent people with severe asthma or poorly managed asthma who end up visiting an ED because of their asthma. Although there is no cure, asthma can be controlled with regular preventative healthcare, a clear asthma action plan, medication, and by avoiding known asthma triggers. For more information...
  • Asthma symptoms and asthma attacks have been found to be associated with both indoor and outdoor environmental factors. For more information...
  • Data Source: Emergency Department data from the California Office of Statewide Health Planning and Development, [[year]].
  • Modeled rates are estimated for a location by taking into account the frequency of events in that location and in its surrounding areas. Modeled rates can be useful when there aren't enough events in an area to calculate rates in the conventional manner. Modeled rates can also be useful for examining regional trends. For more information...
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