Assessing trends in tobacco cessation in diverse patient populations

Victor J. Stevens, Leif I. Solberg, Steffani Bailey, Stephen E. Kurtz, Mary Ann McBurnie, Elisa L. Priest, Jon E. Puro, Rebecca J. Williams, Stephen P. Fortmann, Brian L. Hazlehurst

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Introduction: This study examined change in tobacco use over 4 years among the general population of patients in six diverse health care organizations using electronic medical record data. Methods: The study cohort (N = 34 393) included all patients age 18 years or older who were identified as smokers in 2007, and who then had at least one primary care visit in each of the following 4 years. Results: In the 4 years following 2007, this patient cohort had a median of 13 primary care visits, and 38.6% of the patients quit smoking at least once. At the end of the fourth follow-up year, 15.4% had stopped smoking for 1 year or more. Smokers were more likely to become long-term quitters if they were 65 or older (OR = 1.32, 95% CI = [1.16, 1.49]), or had a diagnoses of cancer (1.26 [1.12, 1.41]), cardiovascular disease (1.22 [1.09, 1.37]), asthma (1.15 [1.06, 1.25]), or diabetes (1.17 [1.09, 1.27]). Characteristics associated with lower likelihood of becoming a long-term quitter were female gender (0.90 [0.84, 0.95]), black race (0.84 [0.75, 0.94]) and those identified as non-Hispanic (0.50 [0.43, 0.59]). Conclusions: Among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. This study shows the practicality of using electronic medical records for monitoring patient smoking status over time. Similar methods could be used to assess tobacco use in any health care organization to evaluate the impact of environmental and organizational programs.

Original languageEnglish (US)
Pages (from-to)275-280
Number of pages6
JournalNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
Volume18
Issue number3
DOIs
StatePublished - 2016

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Tobacco Use Cessation
Electronic Health Records
Smoking
Tobacco Use
Population
Primary Health Care
Organizations
Delivery of Health Care
Physiologic Monitoring
Cohort Studies
Cardiovascular Diseases
Asthma
Neoplasms

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Assessing trends in tobacco cessation in diverse patient populations. / Stevens, Victor J.; Solberg, Leif I.; Bailey, Steffani; Kurtz, Stephen E.; McBurnie, Mary Ann; Priest, Elisa L.; Puro, Jon E.; Williams, Rebecca J.; Fortmann, Stephen P.; Hazlehurst, Brian L.

In: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, Vol. 18, No. 3, 2016, p. 275-280.

Research output: Contribution to journalArticle

Stevens, VJ, Solberg, LI, Bailey, S, Kurtz, SE, McBurnie, MA, Priest, EL, Puro, JE, Williams, RJ, Fortmann, SP & Hazlehurst, BL 2016, 'Assessing trends in tobacco cessation in diverse patient populations', Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, vol. 18, no. 3, pp. 275-280. https://doi.org/10.1093/ntr/ntv092
Stevens, Victor J. ; Solberg, Leif I. ; Bailey, Steffani ; Kurtz, Stephen E. ; McBurnie, Mary Ann ; Priest, Elisa L. ; Puro, Jon E. ; Williams, Rebecca J. ; Fortmann, Stephen P. ; Hazlehurst, Brian L. / Assessing trends in tobacco cessation in diverse patient populations. In: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco. 2016 ; Vol. 18, No. 3. pp. 275-280.
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abstract = "Introduction: This study examined change in tobacco use over 4 years among the general population of patients in six diverse health care organizations using electronic medical record data. Methods: The study cohort (N = 34 393) included all patients age 18 years or older who were identified as smokers in 2007, and who then had at least one primary care visit in each of the following 4 years. Results: In the 4 years following 2007, this patient cohort had a median of 13 primary care visits, and 38.6{\%} of the patients quit smoking at least once. At the end of the fourth follow-up year, 15.4{\%} had stopped smoking for 1 year or more. Smokers were more likely to become long-term quitters if they were 65 or older (OR = 1.32, 95{\%} CI = [1.16, 1.49]), or had a diagnoses of cancer (1.26 [1.12, 1.41]), cardiovascular disease (1.22 [1.09, 1.37]), asthma (1.15 [1.06, 1.25]), or diabetes (1.17 [1.09, 1.27]). Characteristics associated with lower likelihood of becoming a long-term quitter were female gender (0.90 [0.84, 0.95]), black race (0.84 [0.75, 0.94]) and those identified as non-Hispanic (0.50 [0.43, 0.59]). Conclusions: Among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. This study shows the practicality of using electronic medical records for monitoring patient smoking status over time. Similar methods could be used to assess tobacco use in any health care organization to evaluate the impact of environmental and organizational programs.",
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AU - Stevens, Victor J.

AU - Solberg, Leif I.

AU - Bailey, Steffani

AU - Kurtz, Stephen E.

AU - McBurnie, Mary Ann

AU - Priest, Elisa L.

AU - Puro, Jon E.

AU - Williams, Rebecca J.

AU - Fortmann, Stephen P.

AU - Hazlehurst, Brian L.

PY - 2016

Y1 - 2016

N2 - Introduction: This study examined change in tobacco use over 4 years among the general population of patients in six diverse health care organizations using electronic medical record data. Methods: The study cohort (N = 34 393) included all patients age 18 years or older who were identified as smokers in 2007, and who then had at least one primary care visit in each of the following 4 years. Results: In the 4 years following 2007, this patient cohort had a median of 13 primary care visits, and 38.6% of the patients quit smoking at least once. At the end of the fourth follow-up year, 15.4% had stopped smoking for 1 year or more. Smokers were more likely to become long-term quitters if they were 65 or older (OR = 1.32, 95% CI = [1.16, 1.49]), or had a diagnoses of cancer (1.26 [1.12, 1.41]), cardiovascular disease (1.22 [1.09, 1.37]), asthma (1.15 [1.06, 1.25]), or diabetes (1.17 [1.09, 1.27]). Characteristics associated with lower likelihood of becoming a long-term quitter were female gender (0.90 [0.84, 0.95]), black race (0.84 [0.75, 0.94]) and those identified as non-Hispanic (0.50 [0.43, 0.59]). Conclusions: Among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. This study shows the practicality of using electronic medical records for monitoring patient smoking status over time. Similar methods could be used to assess tobacco use in any health care organization to evaluate the impact of environmental and organizational programs.

AB - Introduction: This study examined change in tobacco use over 4 years among the general population of patients in six diverse health care organizations using electronic medical record data. Methods: The study cohort (N = 34 393) included all patients age 18 years or older who were identified as smokers in 2007, and who then had at least one primary care visit in each of the following 4 years. Results: In the 4 years following 2007, this patient cohort had a median of 13 primary care visits, and 38.6% of the patients quit smoking at least once. At the end of the fourth follow-up year, 15.4% had stopped smoking for 1 year or more. Smokers were more likely to become long-term quitters if they were 65 or older (OR = 1.32, 95% CI = [1.16, 1.49]), or had a diagnoses of cancer (1.26 [1.12, 1.41]), cardiovascular disease (1.22 [1.09, 1.37]), asthma (1.15 [1.06, 1.25]), or diabetes (1.17 [1.09, 1.27]). Characteristics associated with lower likelihood of becoming a long-term quitter were female gender (0.90 [0.84, 0.95]), black race (0.84 [0.75, 0.94]) and those identified as non-Hispanic (0.50 [0.43, 0.59]). Conclusions: Among smokers who regularly used these care systems, one in seven had achieved long-term cessation after 4 years. This study shows the practicality of using electronic medical records for monitoring patient smoking status over time. Similar methods could be used to assess tobacco use in any health care organization to evaluate the impact of environmental and organizational programs.

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