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Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death among US adults and is projected to be the third by 2020. In anticipation of the increasing burden imposed on healthcare systems and payers by patients with COPD, a means of identifying COPD patients who in...

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Autores principales: Mapel, Douglas W, Dutro, Michael P, Marton, Jenő P, Woodruff, Kimberly, Make, Barry
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050697/
https://www.ncbi.nlm.nih.gov/pubmed/21345188
http://dx.doi.org/10.1186/1472-6963-11-43
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author Mapel, Douglas W
Dutro, Michael P
Marton, Jenő P
Woodruff, Kimberly
Make, Barry
author_facet Mapel, Douglas W
Dutro, Michael P
Marton, Jenő P
Woodruff, Kimberly
Make, Barry
author_sort Mapel, Douglas W
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death among US adults and is projected to be the third by 2020. In anticipation of the increasing burden imposed on healthcare systems and payers by patients with COPD, a means of identifying COPD patients who incur higher healthcare utilization and costs is needed. METHODS: This retrospective, cross-sectional analysis of US managed care administrative claims data describes a practical way to identify COPD patients. We analyze 7.79 million members for potential inclusion in the COPD cohort, who were continuously eligible during a 1-year study period. A younger commercial population (7.7 million) is compared with an older Medicare population (0.115 million). We outline a novel approach to stratifying COPD patients using "complexity" of illness, based on occurrence of claims for given comorbid conditions. Additionally, a unique algorithm was developed to identify and stratify COPD exacerbations using claims data. RESULTS: A total of 42,565 commercial (median age 56 years; 51.4% female) and 8507 Medicare patients (median 75 years; 53.1% female) were identified as having COPD. Important differences were observed in comorbidities between the younger commercial versus the older Medicare population. Stratifying by complexity, 45.0%, 33.6%, and 21.4% of commercial patients and 36.6%, 35.8%, and 27.6% of older patients were low, moderate, and high, respectively. A higher proportion of patients with high complexity disease experienced multiple (≥2) exacerbations (61.7% commercial; 49.0% Medicare) than patients with moderate- (56.9%; 41.6%), or low-complexity disease (33.4%; 20.5%). Utilization of healthcare services also increased with an increase in complexity. CONCLUSION: In patients with COPD identified from Medicare or commercial claims data, there is a relationship between complexity as determined by pulmonary and non-pulmonary comorbid conditions and the prevalence of exacerbations and utilization of healthcare services. Identification of COPD patients at highest risk of exacerbations using complexity stratification may facilitate improved disease management by targeting those most in need of treatment.
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spelling pubmed-30506972011-03-09 Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data Mapel, Douglas W Dutro, Michael P Marton, Jenő P Woodruff, Kimberly Make, Barry BMC Health Serv Res Research Article BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death among US adults and is projected to be the third by 2020. In anticipation of the increasing burden imposed on healthcare systems and payers by patients with COPD, a means of identifying COPD patients who incur higher healthcare utilization and costs is needed. METHODS: This retrospective, cross-sectional analysis of US managed care administrative claims data describes a practical way to identify COPD patients. We analyze 7.79 million members for potential inclusion in the COPD cohort, who were continuously eligible during a 1-year study period. A younger commercial population (7.7 million) is compared with an older Medicare population (0.115 million). We outline a novel approach to stratifying COPD patients using "complexity" of illness, based on occurrence of claims for given comorbid conditions. Additionally, a unique algorithm was developed to identify and stratify COPD exacerbations using claims data. RESULTS: A total of 42,565 commercial (median age 56 years; 51.4% female) and 8507 Medicare patients (median 75 years; 53.1% female) were identified as having COPD. Important differences were observed in comorbidities between the younger commercial versus the older Medicare population. Stratifying by complexity, 45.0%, 33.6%, and 21.4% of commercial patients and 36.6%, 35.8%, and 27.6% of older patients were low, moderate, and high, respectively. A higher proportion of patients with high complexity disease experienced multiple (≥2) exacerbations (61.7% commercial; 49.0% Medicare) than patients with moderate- (56.9%; 41.6%), or low-complexity disease (33.4%; 20.5%). Utilization of healthcare services also increased with an increase in complexity. CONCLUSION: In patients with COPD identified from Medicare or commercial claims data, there is a relationship between complexity as determined by pulmonary and non-pulmonary comorbid conditions and the prevalence of exacerbations and utilization of healthcare services. Identification of COPD patients at highest risk of exacerbations using complexity stratification may facilitate improved disease management by targeting those most in need of treatment. BioMed Central 2011-02-23 /pmc/articles/PMC3050697/ /pubmed/21345188 http://dx.doi.org/10.1186/1472-6963-11-43 Text en Copyright ©2011 Mapel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mapel, Douglas W
Dutro, Michael P
Marton, Jenő P
Woodruff, Kimberly
Make, Barry
Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title_full Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title_fullStr Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title_full_unstemmed Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title_short Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
title_sort identifying and characterizing copd patients in us managed care. a retrospective, cross-sectional analysis of administrative claims data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050697/
https://www.ncbi.nlm.nih.gov/pubmed/21345188
http://dx.doi.org/10.1186/1472-6963-11-43
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