Literature DB >> 16627128

Gender and age disparities for smoking-cessation treatment.

Michael B Steinberg1, Ayse Akincigil, Cristine D Delnevo, Stephen Crystal, Jeffrey L Carson.   

Abstract

BACKGROUND: Physicians play a critical role in tobacco-dependence treatment, especially prescribing cessation medications. However, it is unclear whether efforts are meeting recommended standards. This study evaluates the frequency and predictors of tobacco-use identification, counseling for tobacco dependence, and the prescription of cessation medications in a nationally representative sample of physician-patient encounters.
METHODS: More than 58,000 physician-patient ambulatory encounters from the National Ambulatory Medical Care Survey 2001 and 2002 were analyzed in 2004-2005, including patient demographics, diagnoses, tobacco counseling, and prescriptions.
RESULTS: Tobacco-use status was identified in 69% of patient encounters, with 16% of those encounters indicating current use. Tobacco counseling occurred in 22.5% of visits by tobacco users, and 2.4% of tobacco users were prescribed cessation medications. These rates are similar to previous analyses in 1991. Patient characteristics associated with being more likely to receive counseling include being a new patient (adjusted odds ratio [OR]=1.34, 95% confidence interval [CI]=1.00-1.77) and having a tobacco-caused diagnosis (OR=2.71, CI=1.95-3.78). Characteristics associated with a lower likelihood of receiving medication include female gender (OR=0.45, CI=0.22-0.90) and age 65 and above (OR=0.14, CI=0.03-0.63), while a tobacco-caused diagnosis (OR=3.91, CI=1.64-9.29) and patient prompting (OR=15.31, CI=3.36-69.8) were associated with higher likelihood of receiving medications.
CONCLUSIONS: Despite increasing national attention, the identification of tobacco status, counseling rates, and the use of cessation medications by physicians are low and unchanged from 1991. Women and elderly tobacco users were much less likely to receive prescriptions for cessation medications, while patients requesting treatment and those with tobacco-caused diagnoses were more likely. Further educational and public health campaigns are needed to encourage the use of these effective medications, especially in women and the elderly.

Entities:  

Mesh:

Year:  2006        PMID: 16627128     DOI: 10.1016/j.amepre.2005.12.008

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  19 in total

1.  Predictors of Pharmacotherapy for Tobacco Use Among Veterans Admitted for COPD: The Role of Disparities and Tobacco Control Processes.

Authors:  Anne C Melzer; Laura C Feemster; Margaret P Collins; David H Au
Journal:  J Gen Intern Med       Date:  2016-02-22       Impact factor: 5.128

2.  Identifying Differences in Rates of Invitation to Participate in Tobacco Treatment in Primary Care.

Authors:  Kristin M Berg; Stevens S Smith; Megan E Piper; Michael C Fiore; Douglas E Jorenby
Journal:  WMJ       Date:  2018-08

3.  Gender, race, and education differences in abstinence rates among participants in two randomized smoking cessation trials.

Authors:  Megan E Piper; Jessica W Cook; Tanya R Schlam; Douglas E Jorenby; Stevens S Smith; Daniel M Bolt; Wei-Yin Loh
Journal:  Nicotine Tob Res       Date:  2010-05-03       Impact factor: 4.244

4.  Capsule Commentary on Melzer et al., Predictors of Pharmacotherapy for Tobacco Use among Veterans Admitted for COPD: The Role of Disparities and Tobacco Control Processes.

Authors:  Kristin Berg
Journal:  J Gen Intern Med       Date:  2016-06       Impact factor: 5.128

5.  Predicting home smoking restrictions among African American light smokers.

Authors:  Jennifer R Warren; Kolawole S Okuyemi; Hongfei Guo; Janet L Thomas; Jasjit S Ahluwalia
Journal:  Am J Health Behav       Date:  2010 Jan-Feb

6.  A research agenda for gender and substance use disorders in the emergency department.

Authors:  Esther K Choo; Gillian Beauchamp; Francesca L Beaudoin; Edward Bernstein; Judith Bernstein; Steven L Bernstein; Kerryann B Broderick; Robert D Cannon; Gail D'Onofrio; Marna R Greenberg; Kathryn Hawk; Rashelle B Hayes; Gabrielle A Jacquet; Melanie J Lippmann; Karin V Rhodes; Susan H Watts; Edwin D Boudreaux
Journal:  Acad Emerg Med       Date:  2014-12-01       Impact factor: 3.451

7.  Physician beliefs regarding effectiveness of tobacco dependence treatments: results from the NJ Health Care Provider Tobacco Survey.

Authors:  Michael B Steinberg; Cristine D Delnevo
Journal:  J Gen Intern Med       Date:  2007-08-29       Impact factor: 5.128

8.  Undertreatment of tobacco use relative to other chronic conditions.

Authors:  Steven L Bernstein; Sunkyung Yu; Lori A Post; James Dziura; Nancy A Rigotti
Journal:  Am J Public Health       Date:  2013-06-13       Impact factor: 9.308

9.  Nicotine Metabolism-informed Care for Smoking Cessation: A Pilot Precision RCT.

Authors:  Quinn S Wells; Matthew S Freiberg; Robert A Greevy; Rachel F Tyndale; Suman Kundu; Meredith S Duncan; Stephen King; Lesa Abney; Elizabeth Scoville; Dawn B Beaulieu; Vanessa Gatskie; Hilary A Tindle
Journal:  Nicotine Tob Res       Date:  2018-11-15       Impact factor: 4.244

10.  The differential impact of state tobacco control policies on cessation treatment utilization across established tobacco disparities groups.

Authors:  Jennifer Dahne; Amy E Wahlquist; Elizabeth Garrett-Mayer; Bryan W Heckman; K Michael Cummings; Matthew J Carpenter
Journal:  Prev Med       Date:  2017-10-05       Impact factor: 4.018

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