Approaches to Identify People With Haemophilia With Medicare Claims Data

In this study, we compared three methods to identify PwHA in claims. Generic diagnosis coding may overcount those tested for haemophilia but ultimately not diagnosed, whereas historical algorithms and treatment-based selection may underrepresent those with non-severe haemophilia, including females. Contemporary validated algorithms are needed to improve the utility of claims for haemophilia research.

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Publication Details

Journal
Haemophilia
Published
2025-12-22
DOI
https://doi.org/10.1111/hae.70184
Primary Topic
Hemophilia Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Approaches to Identify People With Haemophilia With Medicare Claims Data

Tyler W. Buckner, L Cafuir, Christine L. Kempton, Robert F. Sidonio et al.
Haemophilia
Hemophilia Treatment and Research
article

Approaches to Identify People With Haemophilia With Medicare Claims Data

Tyler W. Buckner, L Cafuir, Christine L. Kempton, Robert F. Sidonio, Stacey A. Fedewa, Ming Y Lim
article en

Abstract

In this study, we compared three methods to identify PwHA in claims. Generic diagnosis coding may overcount those tested for haemophilia but ultimately not diagnosed, whereas historical algorithms and treatment-based selection may underrepresent those with non-severe haemophilia, including females. Contemporary validated algorithms are needed to improve the utility of claims for haemophilia research.

HaemophiliaVol. 32(2)
Emory University (US), University of Utah (US)
Openalex Percentile: Top 25%
Hemophilia Treatment and Research
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