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Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms

Retrospective administrative claims database studies provide real-world evidence about treatment patterns, healthcare resource use, and costs for patients and are increasingly used to inform policy-making, drug formulary, and regulatory decisions. However, there is no standard methodology to identif...

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Autores principales: Mathai, Stephen C., Hemnes, Anna Ryan, Manaker, Scott, Anguiano, Rebekah H., Dean, Bonnie B., Saundankar, Vishal, Classi, Peter, Nelsen, Andrew C., Gordon, Kathryn, Ventetuolo, Corey E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600840/
https://www.ncbi.nlm.nih.gov/pubmed/30865835
http://dx.doi.org/10.1513/AnnalsATS.201810-672CME
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author Mathai, Stephen C.
Hemnes, Anna Ryan
Manaker, Scott
Anguiano, Rebekah H.
Dean, Bonnie B.
Saundankar, Vishal
Classi, Peter
Nelsen, Andrew C.
Gordon, Kathryn
Ventetuolo, Corey E.
author_facet Mathai, Stephen C.
Hemnes, Anna Ryan
Manaker, Scott
Anguiano, Rebekah H.
Dean, Bonnie B.
Saundankar, Vishal
Classi, Peter
Nelsen, Andrew C.
Gordon, Kathryn
Ventetuolo, Corey E.
author_sort Mathai, Stephen C.
collection PubMed
description Retrospective administrative claims database studies provide real-world evidence about treatment patterns, healthcare resource use, and costs for patients and are increasingly used to inform policy-making, drug formulary, and regulatory decisions. However, there is no standard methodology to identify patients with pulmonary arterial hypertension (PAH) from administrative claims data. Given the number of approved drugs now available for patients with PAH, the cost of PAH treatments, and the significant healthcare resource use associated with the care of patients with PAH, there is a considerable need to develop an evidence-based and systematic approach to accurately identify these patients in claims databases. A panel of pulmonary hypertension clinical experts and researchers experienced in retrospective claims database studies convened to review relevant literature and recommend best practices for developing algorithms to identify patients with PAH in administrative claims databases specific to a particular research hypothesis.
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spelling pubmed-66008402019-07-16 Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms Mathai, Stephen C. Hemnes, Anna Ryan Manaker, Scott Anguiano, Rebekah H. Dean, Bonnie B. Saundankar, Vishal Classi, Peter Nelsen, Andrew C. Gordon, Kathryn Ventetuolo, Corey E. Ann Am Thorac Soc Focused Review Retrospective administrative claims database studies provide real-world evidence about treatment patterns, healthcare resource use, and costs for patients and are increasingly used to inform policy-making, drug formulary, and regulatory decisions. However, there is no standard methodology to identify patients with pulmonary arterial hypertension (PAH) from administrative claims data. Given the number of approved drugs now available for patients with PAH, the cost of PAH treatments, and the significant healthcare resource use associated with the care of patients with PAH, there is a considerable need to develop an evidence-based and systematic approach to accurately identify these patients in claims databases. A panel of pulmonary hypertension clinical experts and researchers experienced in retrospective claims database studies convened to review relevant literature and recommend best practices for developing algorithms to identify patients with PAH in administrative claims databases specific to a particular research hypothesis. American Thoracic Society 2019-07 /pmc/articles/PMC6600840/ /pubmed/30865835 http://dx.doi.org/10.1513/AnnalsATS.201810-672CME Text en Copyright © 2019 by the American Thoracic Society http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern (dgern@thoracic.org).
spellingShingle Focused Review
Mathai, Stephen C.
Hemnes, Anna Ryan
Manaker, Scott
Anguiano, Rebekah H.
Dean, Bonnie B.
Saundankar, Vishal
Classi, Peter
Nelsen, Andrew C.
Gordon, Kathryn
Ventetuolo, Corey E.
Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title_full Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title_fullStr Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title_full_unstemmed Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title_short Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
title_sort identifying patients with pulmonary arterial hypertension using administrative claims algorithms
topic Focused Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600840/
https://www.ncbi.nlm.nih.gov/pubmed/30865835
http://dx.doi.org/10.1513/AnnalsATS.201810-672CME
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