scholarly journals Effects of Brief Smoking Cessation Education with Expiratory Carbon Monoxide Measurement on Level of Motivation to Quit Smoking

2013 ◽  
Vol 34 (3) ◽  
pp. 190 ◽  
Author(s):  
Won-Young Choi ◽  
Cheol-Hwan Kim ◽  
Ok-Gyu Lee
Medicinus ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Clarinda Wong ◽  
Brian Lucas ◽  
Veli Sungono ◽  
Andree Kurniawan ◽  
Allen Widysanto

<p><strong>Introduction:</strong><strong> </strong>Data from WHO showed that deaths caused by tobacco reaches approximately ± 6 million deaths annually. There are many information about the danger of smoking which spreading from various sources. The level of  knowledge about the danger of smoking can be associated with motivation to stop smoking. Therefore, motivation toward smoking cessation arises if someone knows the benefits that can be taken, through an adequate knowledge.</p><p><strong>Aim:</strong><strong> </strong>To determine the relationship between the level of knowledge on the health effects of  smoking with motivation to stop smoking in ex-smokers of lung department patients at Siloam General Hospital, Lippo Village.</p><p><strong>Methodology: </strong>This is a cross-sectional study, analyzing 138 ex-smokers of Siloam General Hospital’s lung department patients using consecutive sampling techniques.</p><p><strong>Results: </strong>the results showed 73.2% of people have good knowledge about the danger of smoking and 26.8% are not. Then, 58% of people have high motivation to stop smoking and 42% have low motivation. The results of statistical test using Chi Square showed a significant relationship between the level of knowledge and the motivation to quit smoking (OR = 4.293 [95% CI: 1,921-9,594], <em>P</em>&lt;.001). The results of the multivariate logistic regression test showed educational factors (<em>P</em>=0.014), and the frequency of smoking (<em>P</em>=0.007) also influence the motivation to stop smoking.</p><strong>Conclusion : </strong>There’s a significant relation between knowledge about the danger of smoking and the motivation to quit smoking.


2020 ◽  
Vol 8 (E) ◽  
pp. 28-36
Author(s):  
Dragan Gjorgjievski ◽  
Radmila Ristovska ◽  
Katarina Stavrikj ◽  
Amanda Farley ◽  
Peymane Adab ◽  
...  

INTRODUCTION: In 2015, smoking prevalence in Republic of Macedonia was 36% in men and 21% in women We aim to assess the effectiveness and cost-effectiveness of two methods of motivating smokers to quit smoking compared with very brief advice (VBA) alone. Тo date, there are no studies investigating smoking cessation treatment in Republic of Macedonia. METHODS/DESIGN: RCT with process evaluation and cost-effectiveness analysis within 31 general practices in Republic of Macedonia recruiting smokers currently smoking >10 cigarettes per day, aged >35 years, attending primary care practices for any reason, regardless of motivation to quit smoking. Respondents will be randomized into one of three groups: (1) VBA and assessment and communication of lung age; (2) VBA and additional assessment and communication of exhaled carbon monoxide (CO) levels; or (3) control group – VBA. All participants who attempt to quit smoking will be offered behavioral support based on the UK standard program for smoking cessation. Primary outcome: Proportion of smokers who are quit at 4 weeks (7-day point prevalence, confirmed by salivary cotinine level). Secondary outcomes: Proportion who have attempted to quit smoking or have quit smoking, a proportion that has reduced the number of cigarettes and motivation to quit smoking; cost-effectiveness analysis calculating cost per quality-adjusted life year. We will evaluate the fidelity to the intervention and will explore patients’ and GPs’ experience and the acceptability of the study intervention by interview. DISCUSSION: The study will evaluate the effectiveness of combining feedback about lung age or exhaled CO levels with VBA and support for smoking cessation in primary care compared to giving VBA and support alone. It will explore how willing primary care physicians are to perform such interventions and the acceptability and effectiveness of such interventions to patients in Republic of Macedonia. TRIAL REGISTRATION: The study is registered on the ISRCTN registry (ISRCTN54228638).


2018 ◽  
Vol 13 (4) ◽  
pp. 233-243 ◽  
Author(s):  
Tom Sharpe ◽  
Ali Alsahlanee ◽  
Ken D. Ward ◽  
Frank Doyle

Background: Although the hospital inpatient setting arguably provides an ideal opportunity to engage patients in smoking cessation interventions, this is done infrequently. We therefore aimed to systematically review the perceived barriers to the implementation of smoking cessation interventions in the hospital inpatient setting.Methods: A systematic literature search was conducted specific to hospital-based healthcare workers’ perceived barriers to implementing smoking cessation interventions. Reported barriers were categorised using the capability, opportunity and motivation (COM-B) framework.Results: Eighteen studies were selected for inclusion, which consisted of cross-sectional surveys and interviews. The most commonly identified barrier in capability was lack of knowledge (56% of studies); in Opportunity, it was a lack of time (78%); while in Motivation, a lack of perceived patient motivation to quit smoking (44%). Seventeen other barriers were also endorsed, but less frequently.Conclusion: Healthcare workers report a plethora of barriers to providing smoking cessation interventions in hospital settings, which cover all aspects of the COM-B framework. These impediments need to be addressed in a multidisciplinary approach, at clinical, educational, and administrative levels, to improve intervention provision.


2021 ◽  
pp. tobaccocontrol-2021-056769
Author(s):  
Maddy L Dyer ◽  
Jasmine N Khouja ◽  
Abigail R Jackson ◽  
Michelle A Havill ◽  
Martin J Dockrell ◽  
...  

BackgroundE-liquid flavour restrictions may discourage electronic cigarette (e-cigarette) uptake among youth. However, possible unintended consequences may include reduced appeal and effectiveness of e-cigarettes for smoking cessation. Non-tobacco flavours appear to be important for smoking cessation, but how and why are currently unclear.MethodsWe conducted an experimental study in a UK sample of adult daily smokers using an independent groups design (N=84). Participants were randomised to use an e-cigarette with nicotine-containing fruit/sweet-flavoured e-liquid (blackcurrant, strawberry, vanilla, caramel) or unflavoured e-liquid for 1 week. The primary outcomes were average, peak and cue-elicited cigarette craving (the latter was assessed using a cue exposure task). The secondary outcomes were smoking lapse occurrence, enjoyment of the e-cigarette, ease of transitioning from smoking to using an e-cigarette, intentions to continue using an e-cigarette, intentions and motivation to quit smoking, return to smoking, and continuation of e-cigarette use.ResultsE-liquid flavouring did not appear to have an effect on average cigarette craving (b 0.18, 95% CI −0.44 to 0.79, p=0.57), peak cigarette craving (b −0.12, 95% CI −0.59 to 0.35, p=0.62) or cue-elicited cigarette craving (b −0.21, 95% CI −3.86 to 3.43, p=0.91). We did not find evidence of a difference in secondary outcomes.ConclusionsWe did not find evidence to suggest that nicotine-containing fruit/sweet-flavoured and unflavoured e-liquids have different effects on cigarette cravings after 1 week of use. Further research is needed to establish if differences emerge over longer periods of exposure and extend to smoking cessation outcomes.


2018 ◽  
Vol 20 (5) ◽  
pp. 558-565
Author(s):  
Chizimuzo T. C. Okoli ◽  
Sarret Seng

Introduction: Secondhand smoke exposure (SHSe) is predictive of greater nicotine dependence (ND) and poor smoking cessation (SC) outcomes. SHSe and its impact on ND and SC attempts in people with psychiatric disorders (PD) remain poorly understood. Hence, the objectives of this study were to (1) quantify SHSe, (2) examine the association of SHSe with ND, and (3) assess the association between SHSe and SC among tobacco users with PD. Method: A cross-sectional survey of 118 tobacco users in an inpatient psychiatric facility was conducted. Data on demographics, tobacco use and SHSe history, motivation to quit smoking, ND, and SC attempts were obtained. Participants’ environmental and psychosocial sources of and perceived SHSe were described. Multivariate linear regression analyses were used to examine the associations between SHSe and ND, while logistic regression analyses were used to assess the associations between SHSe and SC. Results: The primary sources of environmental SHSe were from the car (63.6%) and home (51.7%); primary sources of psychosocial SHSe were close friends (67.8%) and parents/grandparents (65.3%); and mean perceived SHSe was 6.2 ( SD = 3.5). Although perceived SHSe was significantly associated with ND (β = .39, p < .0001) in multivariate analyses, no SHSe variable was associated with SC. However, scores on items measuring motivation to quit smoking were associated with SC attempts. Discussion: Patients with PD reported high levels of SHSe, which was associated with higher ND. Routine screening for SHSe should be implemented as part of health assessments in this population to address ND treatment options. Moreover, targeted interventions and policies should be considered toward reducing SHSe in this vulnerable population.


2018 ◽  
Vol 21 (11) ◽  
pp. 1573-1577 ◽  
Author(s):  
Nandita Krishnan ◽  
Jessica L Elf ◽  
Sandy Chon ◽  
Jonathan E Golub

Abstract Introduction Mobile phone–based messaging support and biomarker feedback independently show evidence of increasing an individual’s likelihood of quitting smoking. However, the combination of these two strategies to facilitate smoking cessation has not been adequately explored. Methods We conducted a randomized controlled trial in Baltimore, Maryland, to assess the efficacy of COach2Quit, a smartphone application that provides exhaled carbon monoxide readings with message support. The primary outcome was self-reported and biochemically verified smoking cessation at 30-day follow-up. Secondary outcomes were reduction in smoking, motivation to quit, and engagement and satisfaction with COach2Quit. An intention-to-treat analysis was conducted. Results Adult smokers were randomized 1:1 to receive brief advice and COach2Quit (intervention, n = 50) or brief advice only (control, n = 52). Thirteen participants were lost to follow-up. At 30-day follow-up, one participant in each arm quit smoking. Median change in carbon monoxide levels (in parts per million (ppm)) (intervention: −3.0 [interquartile range (IQR) −12.0, 2.0]; control: −2.5 [IQR −9.0, 2.0]) and median change in number of cigarettes smoked per day (intervention: −5.5 [IQR −14.0, −1.0]; control: −6.0 [IQR −10.0, −2.0]) was similar between study arms. There was no significant difference in mean percent change in the Reasons for Quitting scale score (intervention: 6.3 [95% confidence interval = −2.2% to 14.8%]; control: −3.6 [95% confidence interval = −9.2% to 2.1%]). A majority (n = 32, 91%) of participants liked having COach2Quit to help them quit smoking. Conclusions There were no significant differences in smoking cessation, smoking reduction, and motivation to quit between study arms. However, high satisfaction with the COach2Quit application indicates its feasibility and acceptability as a smoking cessation tool. Implications Smoking is the leading preventable cause of morbidity and mortality in the United States. Although counseling and pharmacotherapy are efficacious for smoking cessation, they are not easily accessible or desirable to all smokers, highlighting the need for identifying other interventions. There is evidence for the efficacy of mobile phone–based messaging support for smoking cessation. However, there is limited research on the efficacy of biomarker feedback, much less interventions that combine these two approaches. This research contributes to filling this gap and identifying novel interventions to facilitate smoking cessation.


2005 ◽  
Vol 30 (2) ◽  
pp. 295-300 ◽  
Author(s):  
William G. Shadel ◽  
Michael D. Stein ◽  
Bradley J. Anderson ◽  
Debra S. Herman ◽  
Shaugna Bishop ◽  
...  

Author(s):  
Alba María Romero-López ◽  
Silvia Portero-de-la-Cruz ◽  
Manuel Vaquero-Abellán

Objective: to know the dependence on nicotine and the motivation to quit smoking in Nursing and Physiotherapy students of a university in the South of Spain, and to evaluate the impact of an intervention based on the use of information technologies on the motivation to quit smoking. Method: a pilot study in two phases: the first being cross-sectional and the second, a before-and-after intervention. The motivation to quit smoking was assessed by means of the Richmond questionnaire, and the dependence on nicotine through the Fagerström questionnaire; additionally, an intervention was performed based on the use of a web platform to increase motivation to quit smoking. Descriptive and inferential statistics were applied. Results: the prevalence in the use of tobacco was 4.33% (n=29). 3.45% of the participants had a high level of dependence; and 6.90%, a high level of motivation. The level of motivation did not change after the intervention (p=0.10). Conclusion: most of the students have low levels of motivation to quit smoking and of physical dependence to nicotine. The level of motivation to quit smoking does not change after performing the intervention.


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