Discrete choice experiment of smoking cessation behaviour in Japan

Goto, Rei; Nishimura, Shuzo; Ida, Takanori

doi:10.1136/tc.2006.019281

Cited by 32 publications

(34 citation statements)

References 44 publications

(31 reference statements)

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“…Goto and colleagues 322 conducted a similar DCE with current smokers but asked respondents if they would quit or continue smoking. They repeated the DCE 4 years later.…”

Section: Discussionmentioning

confidence: 99%

Benefits of Incentives for Breastfeeding and Smoking cessation in pregnancy (BIBS): a mixed-methods study to inform trial design

Morgan

Hoddinott

Thomson

et al. 2015

Health Technology Assessment

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BackgroundSmoking in pregnancy and/or not breastfeeding have considerable negative health outcomes for mother and baby.AimTo understand incentive mechanisms of action for smoking cessation in pregnancy and breastfeeding, develop a taxonomy and identify promising, acceptable and feasible interventions to inform trial design.DesignEvidence syntheses, primary qualitative survey, and discrete choice experiment (DCE) research using multidisciplinary, mixed methods. Two mother-and-baby groups in disadvantaged areas collaborated throughout.SettingUK.ParticipantsThe qualitative study included 88 pregnant women/recent mothers/partners, 53 service providers, 24 experts/decision-makers and 63 conference attendees. The surveys included 1144 members of the general public and 497 health professionals. The DCE study included 320 women with a history of smoking.Methods(1) Evidence syntheses: incentive effectiveness (including meta-analysis and effect size estimates), delivery processes, barriers to and facilitators of smoking cessation in pregnancy and/or breastfeeding, scoping review of incentives for lifestyle behaviours; (2) qualitative research: grounded theory to understand incentive mechanisms of action and a framework approach for trial design; (3) survey: multivariable ordered logit models; (4) DCE: conditional logit regression and the log-likelihood ratio test.ResultsOut of 1469 smoking cessation and 5408 breastfeeding multicomponent studies identified, 23 smoking cessation and 19 breastfeeding studies were included in the review. Vouchers contingent on biochemically proven smoking cessation in pregnancy were effective, with a relative risk of 2.58 (95% confidence interval 1.63 to 4.07) compared with non-contingent incentives for participation (four studies, 344 participants). Effects continued until 3 months post partum. Inconclusive effects were found for breastfeeding incentives compared with no/smaller incentives (13 studies) but provider commitment contracts for breastfeeding show promise. Intervention intensity is a possible confounder. The acceptability of seven promising incentives was mixed. Women (for vouchers) and those with a lower level of education (except for breastfeeding incentives) were more likely to disagree. Those aged ≤ 44 years and ethnic minority groups were more likely to agree. Agreement was greatest for a free breast pump and least for vouchers for breastfeeding. Universal incentives were preferred to those targeting low-income women. Initial daily text/telephone support, a quitting pal, vouchers for > £20.00 per month and values up to £80.00 increase the likelihood of smoking cessation. Doctors disagreed with provider incentives. A ‘ladder’ logic model emerged through data synthesis and had face validity with service users. It combined an incentive typology and behaviour change taxonomy. Autonomy and well-being matter. Personal difficulties, emotions, socialising and attitudes of others are challenges to climbing a metaphorical ‘ladder’ towards smoking cessation and breastfeeding. Incentive interventions provide opportunity ‘rungs’ to help, including regular skilled flexible support, a pal, setting goals, monitoring and outcome verification. Individually tailored and non-judgemental continuity of care can bolster women’s capabilities to succeed. Rigid, prescriptive interventions placing the onus on women to behave ‘healthily’ risk them feeling pressurised and failing. To avoid ‘losing face’, women may disengage.LimitationsIncluded studies were heterogeneous and of variable quality, limiting the assessment of incentive effectiveness. No cost-effectiveness data were reported. In surveys, selection bias and confounding are possible. The validity and utility of the ladder logic model requires evaluation with more diverse samples of the target population.ConclusionsIncentives provided with other tailored components show promise but reach is a concern. Formal evaluation is recommended. Collaborative service-user involvement is important.Study registrationThis study is registered as PROSPERO CRD42012001980.FundingThe National Institute for Health Research Health Technology Assessment programme.

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“…Goto and colleagues 322 conducted a similar DCE with current smokers but asked respondents if they would quit or continue smoking. They repeated the DCE 4 years later.…”

Section: Discussionmentioning

confidence: 99%

Benefits of Incentives for Breastfeeding and Smoking cessation in pregnancy (BIBS): a mixed-methods study to inform trial design

Morgan

Hoddinott

Thomson

et al. 2015

Health Technology Assessment

View full text Add to dashboard Cite

show abstract

“…Another way to raise the population QAR is to implement a price increase or indoor smoke-free policy. In particular, a large price increase, up to 1,000 yen/pack (12.3 US dollar; 1 dollar = 81.4 yen), would have a great influence on smokers' decision to quit [22]. However, these policies, if implemented without any quitting assistance, could place a greater burden on those with greater difficulty in quitting smoking [23].…”

Section: Discussionmentioning

confidence: 97%

Modeling the effect of disseminating brief intervention for smoking cessation at medical facilities in Japan: a simulation study

Katanoda¹,

Levy

Nakamura

et al. 2012

Cancer Causes Control

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“…Our finding may suggest that smokers with less physiological nicotine dependence are more susceptible to the surrounding social environment. Goto et al in their internet survey of 616 Japanese smokers revealed that health risk information is more likely to induce cessation among those with less nicotine dependence 21) . As such, those with less physiological addiction may be more open to external information to evaluate and reflect the relevance of smoking behavior.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Smoking Prevalence at Worksites on Individual Cessation Behavior

Nishiura

Narai

Ohguri

et al. 2009

Journal of Occupational Health

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The Effect of Smoking Prevalence atWorksites on Individual Cessation Behavior: Chihiro NISHIURA, et al. Department of Safety and Health, Tokyo Gas Co., Ltd.-Objectives: To identify the effect of worksite smoking prevalence on individual cessation behavior. Methods: We conducted a cohort study at a Japanese worksite without a total ban on smoking, but with designated smoking areas. Baseline data were obtained in 2005 through a self-administered questionnaire from 15,229 workers in 322 work units as part of annual health checkups, and followed up in 2006. Data on smoking status, time to first cigarette after waking up, desire to quit, number of cigarettes smoked per day, and respiratory symptoms were obtained. Details like workers' demographics, blue/ white-collar workers, night shift duties, administrative position, and work unit codes were obtained from the firm's administrative records. Smoking prevalence in work units was calculated as a ratio, standardized by age, and categorized into quartiles. Multiple logistic regression was used to predict cessation by smoking prevalence, adjusting for individual level variables. Results: In the lowest smoking prevalence quartile compared with the highest, odds ratios (95% CI) of cessation among those who smoked their first cigarette more than 30 min after waking up were 2.32 (1.06, 5.09) in white-collar units and 1.86 (0.98, 3.55) in bluecollar units, and that among those with a moderate desire to quit was 2.05 (0.94, 4.49) in white-collar units. Conclusion: Worksite smoking prevalence affects the likelihood of successful cessation, especially among those with less nicotine dependence and who are in the early stage of behavioral change. This suggests that serious consideration should be placed not only on individual behavior modification but also on modification of worksite conditions. (J Occup Health 2009; 51: 48-56)

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Discrete choice experiment of smoking cessation behaviour in Japan

Abstract: Determinants of smoking cessation vary among levels of nicotine dependency. Therefore, how and what information is provided needs to be carefully considered when counselling smokers to help them to quit.

Cited by 32 publications

References 44 publications

Benefits of Incentives for Breastfeeding and Smoking cessation in pregnancy (BIBS): a mixed-methods study to inform trial design

Benefits of Incentives for Breastfeeding and Smoking cessation in pregnancy (BIBS): a mixed-methods study to inform trial design

Modeling the effect of disseminating brief intervention for smoking cessation at medical facilities in Japan: a simulation study

The Effect of Smoking Prevalence at Worksites on Individual Cessation Behavior

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