Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
| Autor: | Scott Manaker, Peter Classi, Rebekah H. Anguiano, Anna R. Hemnes, Corey E. Ventetuolo, Kathryn Gordon, Andrew Nelsen, Bonnie B. Dean, Vishal Saundankar, Stephen C. Mathai |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Pulmonary and Respiratory Medicine
Pulmonary Arterial Hypertension Databases Factual business.industry Focused Review Patient Acceptance of Health Care medicine.disease humanities Administrative claims InformationSystems_GENERAL Insurance Claim Review Health care pulmonary hypertension medicine administrative claims Resource use Humans Medical emergency business health care economics and organizations Algorithms Antihypertensive Agents Retrospective Studies |
| Zdroj: | Annals of the American Thoracic Society |
| ISSN: | 2325-6621 2329-6933 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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