Query Results for Emergency Department Visits for Heat-related Illness - Visits per 10,000 Population, Age-adjusted
Query Result Page Options
Query Criteria
| Measure Description: | |
|---|---|
| Single Years Filter: | 2023 |
| Data Grouped By: | County |
Data Notes
Measure Notes
Rates have been age-adjusted using the direct method and the 2000 U.S. standard population. For more information on age-adjustment, please visit [https://ibis.doh.nm.gov/resource/AARate.html the NM-IBIS page on age-adjustment]Heat-related Illness Metadata
For the complete metadata file, including the ICD codes used to identify a heat-related illness emergency department visit, please see the [[a href=/nmepht-view/dataportal/metadata/HeatStress_ED_Visits.html heat stress ED visits metadata file.]]Statistical Stability
Problems with statistical instability (indicated by a # or ## symbol in the right column of the data table, above) 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 [https://ibis.doh.nm.gov/resource/ReliabilityValidity.html Reliability and Validity] page.International Classification of Disease (ICD) Codes
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) was still used for hospital and emergency department visits until October 2015.
Data Sources
- Emergency Department (ED) dataset, Health Systems Epidemiology Program, New Mexico Department of Health
- New Mexico Population Estimates: University of New Mexico, Geospatial and Population Studies (GPS) Program.
(http://gps.unm.edu/)
Data Issues
Emergency Department (ED) dataset
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 and is used to classify diagnoses for hospital and emergency department visits. This coding system underwent a major revision from version 9 (ICD9) to version 10 that went into effect October 1, 2015. In most cases, the two versions do not provide comparable results and the two time periods should not be combined in a trend line. The emergency department data include visits to NON-FEDERAL HOSPITALS only. Visits to Veteran's Administration (VA) facilities and Indian Health Service (IHS) facilities have not been included, unless specifically stated otherwise. The data include all emergency department visits. An individual will be counted more than once if he or she had more than one visit over the time period. The emergency department dataset includes only New Mexico residents hospitalized in New Mexico hospitals, and may undercount injury ED visits of New Mexico residents. In cases of serious injuries near the state borders, oftentimes patients will be transported to a nearby trauma center in the bordering state.New Mexico Population Estimates
{{class RedText NOTE: On January 16, 2025, the NM-IBIS and NMTracking POPULATION ESTIMATES FOR YEARS **2010 THROUGH 2023** WERE REPLACED. Data from the 2020 decennial census were used to update the estimates. Rates calculated using the NM-IBIS and NMTracking web-based queries are affected. Any rates that use population denominators that were calculated after January 16, 2025 will be different from those calculated prior to that date. We apologize for the inconvenience.}} All population estimates apply to July 1 of the selected year. These estimates are considered the most accurate estimates for the state of New Mexico and should match those found on the University of New Mexico [https://gps.unm.edu/pop/population-estimates.html Geospatial and Population Studies website]. Estimates include decimal fractions. Census tract population estimates were summed to produce County estimates. Population estimate totals may vary slightly due to rounding.