Comparing Two Approaches to Identify Individuals with Severe Asthma in United States Claims Data

Estimating patient-level average daily ICS dose based on prescription claims using either a code-based or a calculation-based algorithm appears to be a reasonable method to identify individuals with severe asthma. The discrepancy between methods suggests that physician instructions sometimes vary from recommended administration instructions. Future work will validate these algorithms using electronic medical records.

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Publication Details

Journal
Pharmacoepidemiology and Drug Safety
Published
2025-09-01
DOI
https://doi.org/10.1002/pds.70220
Citations
1
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
1.16
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article

Comparing Two Approaches to Identify Individuals with Severe Asthma in United States Claims Data

Sarah‐Jo Sinnott, Julie Barberio, Xinyu Li
1 citations
Pharmacoepidemiology and Drug Safety
Asthma and respiratory diseases
1.16
article

Comparing Two Approaches to Identify Individuals with Severe Asthma in United States Claims Data

Sarah‐Jo Sinnott, Julie Barberio, Xinyu Li
article en
1 citations

Abstract

Estimating patient-level average daily ICS dose based on prescription claims using either a code-based or a calculation-based algorithm appears to be a reasonable method to identify individuals with severe asthma. The discrepancy between methods suggests that physician instructions sometimes vary from recommended administration instructions. Future work will validate these algorithms using electronic medical records.

Pharmacoepidemiology and Drug SafetyVol. 34(9)
Morristown Medical Center (US), Sanofi (United States) (US), C3I (United States) (US)
Openalex Percentile: Top 18%
Asthma and respiratory diseases
1.16
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