Query Result Page Options
This option remembers your currently selected filtering criteria and display options and applies (
) to all subseqent dataset query requests. This feature can help you save time and be consistent by automatically applying your defined selections to other queryable datasets you open.
- This features only effects queryable datasets loaded after the apply criteria feature is enabled.
- When a new queryable dataset is loaded, this features does NOT clean/clear any of that dataset's default selected values - it simply supplements the newly loaded dataset's selections with those values captured when the apply criteria feature was enabled.
- When in the builder interface you can override and make additional changes (select or deselect).
- Changes made in the builder interface are not automatically saved to the enabled apply criteria definition. However, once you have a result you can reapply the current critera by using this dialog and pressing the "Reapply" button. If you do not see this button then the apply criteria feature has not been enabled.
- Selections are applied according to what selections are available within that given queryable dataset. For example if your apply criteria is set for years 1999-2015 and the dataset does not have 1999 then only years 2000-2015 will be selected.
- This feature is available immediately and does not require any user login account. However, if you wish to save this definition you will need to have either a free self registered user account or a secure DOH account and be logged in to be able to save your definitions.
- TURNING OFF: These selections will remain in effect for the length of your current session on this site. It is turned off by pressing the "Clear" button.
- TECHNICAL NOTE: The selection's internal dimension names and values MUST match. In some instances a value's title shown to the user will look the same as the dataset's but it is stored internally with a different name or value so they do not match and thus will not be selected. As an end user there is nothing that can be done about this situation because this is something the dataset author must setup. If you see something like this please contact us and report this issue.
One Example:Doing studies on different datasets like you want to look at different survey datasets for hispanic females for years 2015-2018. You want to always display a county choropleth map and a horizontal bar chart. You make those initial selections, submit your selections, enable this apply criteria feature. From then on, those selections are automatically applied (as much as possible) to all subsequent queryable datasets you open.
You are not logged in. To save a query you must be logged in. Enter your username / password to proceed.
Once successfully logged in you will be redirected back to this page where you will then need to press the Save Query Defintion button again.
Unauthorized access is strictly prohibited and subject to full prosecution. In using this account you agree to the department's full terms and conditions.
See the Introduction to My Selections page for more information.
|Single Years Filter:||2021|
|Criteria Selections Filter:|
|Data Grouped By:||County|
- For the complete metadata file, please see theChronic Obstructive Pulmonary Disease Hospitalizations metadata file.
- Environmental Public Health Tracking uses hospital admissions rather than discharges.
- ICD Stands for International Classification of Diseases. It is a coding system maintained by the World Health Organization and the U.S. National Center for Health Statistics used to classify causes of death on death certificates and diagnoses, injury causes, and medical procedures for hospital and emergency department visits. These codes are updated every decade or so to account for advances in medical technology. The U.S. is currently using the 10th revision (ICD-10) to code causes of death. The 9th revision (ICD-9) is still used for hospital admissions and emergency department visits.
Statistical StabilityStatistical stability, reported in the data table, is based on a statistic called the "Relative Standard Error," or RSE, which is the standard error expressed as a proportion of the point estimate (e.g., 30% of the point estimate). The following conventions are used here to interpret the RSE. * A dash (-) means that the relative standard error (RSE) is below 0.30 and the count or rate may be considered stable. * "Unstable" is displayed when the RSE is 0.30-0.50. An unstable count or rate may fluctuate widely across time periods due to random variation (chance). * "Very Unstable" is displayed when the RSE is greater than 0.50. A very unstable count or rate should not be used to inform decisions. You may combine years or otherwise increase the population size used in the query to achieve a more stable count or rate. Problems with statistical instability typically occur when there is a small number of health events in a small population. For more information on statistical stability, visit the NM-IBIS [[a href="/nmibis-view/resource/ReliabilityValidity.html Reliability & Validity]] page.