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Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014

BACKGROUND: Analysis of Medicare data is often used to determine epidemiology, healthcare utilization and effectiveness of disease treatments. We were interested in whether Medicare data could be used to estimate prevalence of tobacco use. Currently, data regarding tobacco use is derived from Behavi...

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Autores principales: Nishi, Shawn P. E., Zhou, Jie, Kuo, Young-Fang, Sharma, Gulshan, Goodwin, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683517/
https://www.ncbi.nlm.nih.gov/pubmed/31382958
http://dx.doi.org/10.1186/s12913-019-4368-7
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author Nishi, Shawn P. E.
Zhou, Jie
Kuo, Young-Fang
Sharma, Gulshan
Goodwin, James
author_facet Nishi, Shawn P. E.
Zhou, Jie
Kuo, Young-Fang
Sharma, Gulshan
Goodwin, James
author_sort Nishi, Shawn P. E.
collection PubMed
description BACKGROUND: Analysis of Medicare data is often used to determine epidemiology, healthcare utilization and effectiveness of disease treatments. We were interested in whether Medicare data could be used to estimate prevalence of tobacco use. Currently, data regarding tobacco use is derived from Behavioral Risk Factor Surveillance System (BRFSS) survey data. We compare administrative claims data for tobacco diagnosis among Medicare beneficiaries to survey (BRFSS) estimates of tobacco use from 2001 to 2014. METHODS: Retrospective cross-sectional study comparing tobacco diagnoses using International Classification of Disease, Ninth Revision (ICD-9) codes for tobacco use in Medicare data to BRFSS data from 2001 to 2014 in adults age ≥ 65 years. Beneficiary data included age, gender, race, socioeconomic status, and comorbidities. Tobacco cessation counselling was also examined using Healthcare Common Procedure Coding System codes. RESULTS: The prevalence of Medicare enrollees aged ≥65 years who had a diagnosis of current tobacco use increased from 2.01% in 2001 to 4.8% in 2014, while the estimates of current tobacco use from BRFSS decreased somewhat (10.03% in 2001 vs. 8.77% in 2014). However, current tobacco use based on Medicare data remained well below the estimates from BRFSS. Use of tobacco cessation counselling increased over the study period with largest increases after 2010. CONCLUSIONS: The use of tobacco-related diagnosis codes increased from 2001 to 2014 in Medicare but still substantially underestimated the prevalence of tobacco use compared to BRFSS data.
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spelling pubmed-66835172019-08-09 Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014 Nishi, Shawn P. E. Zhou, Jie Kuo, Young-Fang Sharma, Gulshan Goodwin, James BMC Health Serv Res Research Article BACKGROUND: Analysis of Medicare data is often used to determine epidemiology, healthcare utilization and effectiveness of disease treatments. We were interested in whether Medicare data could be used to estimate prevalence of tobacco use. Currently, data regarding tobacco use is derived from Behavioral Risk Factor Surveillance System (BRFSS) survey data. We compare administrative claims data for tobacco diagnosis among Medicare beneficiaries to survey (BRFSS) estimates of tobacco use from 2001 to 2014. METHODS: Retrospective cross-sectional study comparing tobacco diagnoses using International Classification of Disease, Ninth Revision (ICD-9) codes for tobacco use in Medicare data to BRFSS data from 2001 to 2014 in adults age ≥ 65 years. Beneficiary data included age, gender, race, socioeconomic status, and comorbidities. Tobacco cessation counselling was also examined using Healthcare Common Procedure Coding System codes. RESULTS: The prevalence of Medicare enrollees aged ≥65 years who had a diagnosis of current tobacco use increased from 2.01% in 2001 to 4.8% in 2014, while the estimates of current tobacco use from BRFSS decreased somewhat (10.03% in 2001 vs. 8.77% in 2014). However, current tobacco use based on Medicare data remained well below the estimates from BRFSS. Use of tobacco cessation counselling increased over the study period with largest increases after 2010. CONCLUSIONS: The use of tobacco-related diagnosis codes increased from 2001 to 2014 in Medicare but still substantially underestimated the prevalence of tobacco use compared to BRFSS data. BioMed Central 2019-08-05 /pmc/articles/PMC6683517/ /pubmed/31382958 http://dx.doi.org/10.1186/s12913-019-4368-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Nishi, Shawn P. E.
Zhou, Jie
Kuo, Young-Fang
Sharma, Gulshan
Goodwin, James
Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title_full Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title_fullStr Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title_full_unstemmed Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title_short Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001–2014
title_sort trends in tobacco use and tobacco cessation counselling codes among medicare beneficiaries, 2001–2014
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683517/
https://www.ncbi.nlm.nih.gov/pubmed/31382958
http://dx.doi.org/10.1186/s12913-019-4368-7
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