U.S. Department of Health and Human Services Office of Disease Prevention and Health Promotion

Reduce asthma attacks — RD‑04 Data Methodology and Measurement

On this page:  About the National Data  |  Methodology  |  History

About the National Data

Data

Data Source:  National Health Interview Survey (NHIS), CDC/NCHS

Baseline: 41.5 percent of persons with current asthma had an asthma attack in 2019

Target: 35.1 percent

Numerator
Number of people with current asthma who report having an asthma attack in the past 12 months.
Denominator
Number of people who report having current asthma.
Target-setting method
Projection
Target-setting method details
Linear trend fitted using weighted least squares and a projection at the 50 percent prediction interval.
1
Target-setting method justification
Trend data were evaluated for this objective. Using historical data points, a trend line was fitted using weighted least squares, and the trend was projected into the next decade. This method was used because three or more comparable data points were available, the projected value was within the range of possible values, and a projection at the 50 percent prediction interval was selected because it was a statistically significant improvement from the baseline. Meeting this target may result in a higher but achievable decline in asthma attacks that may help meet the Centers for Disease Control and Prevention's (CDC) aspirational goal of reducing asthma-related emergency department visits in children.

Methodology

Methodology notes

Participants who had ever been told by a doctor or other health professional that they had asthma and reported that they still have asthma were considered to have current asthma. Includes persons with at least one asthma attack in the past year.

History

Revision History
Revised. 

In 2021, due to the 2019 NHIS redesign, the baseline was revised from 45.2% in 2017 to 41.5% in 2019. The target was revised from 38.1% to 35.1% using the original target setting method.

1. Because Healthy People 2030 objectives have a desired direction (e.g., increase or decrease), the confidence level of a one-sided prediction interval can be used as an indication of how likely a target will be to achieve based on the historical data and fitted trend.