A follow-up of a media-based, worksite smoking cessation program

1994 ◽  
Vol 22 (2) ◽  
pp. 257-271 ◽  
Author(s):  
Doreen Salina ◽  
Leonard A. Jason ◽  
Donald Hedeker ◽  
Joy Kaufman ◽  
Linda Lesondak ◽  
...  
1989 ◽  
Vol 79 (10) ◽  
pp. 1377-1380 ◽  
Author(s):  
B R Flay ◽  
C L Gruder ◽  
R B Warnecke ◽  
L A Jason ◽  
P Peterson

2010 ◽  
Vol 39 (1) ◽  
pp. 48-60 ◽  
Author(s):  
Daniel F. Seidman ◽  
J. Lee Westmaas ◽  
Steve Goldband ◽  
Vance Rabius ◽  
Edward S. Katkin ◽  
...  

Author(s):  
Jean-Jacques Parienti ◽  
Zine Merzougui ◽  
Arnaud de la Blanchardière ◽  
Sylvie Dargère ◽  
Philippe Feret ◽  
...  

Background: The prevalence of tobacco smoking is high among patients living with HIV, supporting the need for effective targeted interventions. Materials and Methods: All current smokers at our outpatient HIV clinic were invited to participate in a smoking cessation program. Results: Of the 716 patients living with HIV, 280 (39%) reported active smoking and were younger, more recently HIV infected and more frequently infected due to intravenous drug use (IDU). One hundred forty-seven (53%) smokers agreed to participate in the smoking cessation program and had a higher Fagerström score and were less likely IDU. During follow-up, 41 (28%) smokers withdrew from the program. After 6 months, 60 (57%) of the 106 smokers who completed the intervention had stopped tobacco smoking and were more likely to use varenicline, adjusting for a history of depression. Conclusion: Our smoking cessation program was feasible. However, strategies to reach and retain in smoking cessation program specific groups such as IDU are needed to improve the smoking cessation cascade.


2020 ◽  
Author(s):  
Marc Pifarre ◽  
Jordi Vilaplana ◽  
Francesc Solsona ◽  
Francesc Abella ◽  
Rui Alves ◽  
...  

BACKGROUND Many mobile apps have been made to quit smoking. Many do not have the support of specialists, and often are apps for self-guidance. There is no record of any study looking at the apps' adherence to patient treatments from hospitals, and therefore it is not known for sure if they serve to increase the adherence of treatments. OBJECTIVE Analyzing and evaluating the adherence of using a mobile app (TControl) on a smoking cessation program. METHODS TControl, an app to follow up and assist smoke-free patients. 197 patients to measure the effectiveness of the app for decreasing the number of relapses were analysed. RESULTS Actually, the difference between those using TControl is the number of relapses (7.7%), which is much lower than among those not using it (33.9%), and which could retain considerably more patients on the program than the conventional treatment. CONCLUSIONS TControl increased adherence in a smoke-quitting program. However, no correlation between adherence and success was found.


2015 ◽  
Vol 60 (12) ◽  
pp. 1796-1803 ◽  
Author(s):  
N. D. Kocak ◽  
A. Eren ◽  
S. Bo a ◽  
U. A. Akturk ◽  
U. A. Ozturk ◽  
...  

1992 ◽  
Vol 8 (2) ◽  
pp. 91-95 ◽  
Author(s):  
J. Raymond Gilbert ◽  
Douglas M.C. Wilson ◽  
Joel Singer ◽  
Elizabeth A. Lindsay ◽  
Dennis G. Willms ◽  
...  

2018 ◽  
Vol 25 (3) ◽  
pp. 226 ◽  
Author(s):  
S. M. Davidson ◽  
R.G. Boldt ◽  
A.V. Louie

Background Because continued cigarette smoking after a cancer diagnosis is associated with detrimental outcomes, supporting cancer patients with smoking cessation is imperative. We evaluated the effect of the Smoking Cessation Program at the London Regional Cancer Program (lrcp) over a 2-year period.Methods The Smoking Cessation Program at the lrcp began in March 2014. New patients are screened for tobacco use. Tobacco users are counselled about the benefits of cessation and are offered referral to the program. If a patient accepts, a smoking cessation champion offers additional counselling. Follow-up is provided by interactive voice response (ivr) telephone system. Accrual data were collected monthly from January 2015 to December 2016 and were evaluated.Results During 2015–2016, 10,341 patients were screened for tobacco use, and 18% identified themselves as current or recent tobacco users. In 2015, 84% of tobacco users were offered referral, but only 13% accepted, and 3% enrolled in ivr follow-up. At the lrcp in 2016, 77% of tobacco users were offered referral to the program, but only 9% of smokers accepted, and only 2% enrolled in ivr follow-up.Conclusions The Smoking Cessation Program at the lrcp has had modest success, because multiple factors influence a patient’s success with cessation. Limitations of the program include challenges in referral and counselling, limited access to nicotine replacement therapy (nrt), and minimal follow-up. To mitigate some of those challenges, a pilot project was launched in January 2017 in which patients receive free nrt and referral to the local health unit.


2019 ◽  
Vol 15 (1) ◽  
pp. 23-28
Author(s):  
L. C. Abroms ◽  
C. L. Heminger ◽  
A. L. Boal ◽  
J. M. Van Alstyne ◽  
N. Krishnan

AbstractIntroductionStudies have shown that Text2Quit and other mobile cessation programs increase quit rates in adult smokers, but the mechanism of effects and user experiences are not well understood.AimsThis study reports on participants' experiences with the program and explores aspects of the program that they liked and disliked.MethodsSelf-reported experiences of the program were collected through a follow-up survey conducted 1 month after enrollment (n = 185). Participant responses to open-ended items were dual coded by independent coders.ResultsOverall participants agreed that they liked the program (4.2/5), that the program was helpful (4.1/5) and that they would recommend the program to a friend (4.3/5). Top reasons for liking the program included that it served as a constant reminder of quitting (17.8%), the content (16.7%), the encouragement provided (13.3%), and the on-demand tools (12.2%). Top reasons for disliking the program were message frequency (20.5%), content (7.0%), and the lack of personal interaction (7.0%).ConclusionsThe constancy of messaging was both liked as a reminder and disliked as an annoyance. Future programs might be improved by pre-testing and customizing the content based on user preferences, and by adding in human interactions, while keeping a supportive tone and offering on-demand tools.


2021 ◽  
pp. 1-5
Author(s):  
Doh Young Lee ◽  
Seong Dong Kim ◽  
Jaehyun Lim ◽  
Kwang Hyun Kim ◽  
Hong Ryul Jin ◽  
...  

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