scholarly journals Effectiveness of regular reporting of spirometric results combined with a smoking cessation advice by a primary care physician on smoking quit rate in adult smokers: a randomized controlled trial. ESPIROTAB study

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Mar Rodriguez-Alvarez ◽  
Pere Torán-Monserrat ◽  
Laura Muñoz-Ortiz ◽  
Antonio Negrete-Palma ◽  
Juan José Montero-Alia ◽  
...  
2007 ◽  
Vol 22 (11) ◽  
pp. 1808-1815 ◽  
Author(s):  
Daniel H Solomon ◽  
Jeffrey N Katz ◽  
Joel S Finkelstein ◽  
Jennifer M Polinski ◽  
Margaret Stedman ◽  
...  

2014 ◽  
Vol 8 (4) ◽  
pp. 595-602 ◽  
Author(s):  
Nicole P. M. Ezendam ◽  
Kim A. H. Nicolaije ◽  
Roy F. P. M. Kruitwagen ◽  
Johanna M. A. Pijnenborg ◽  
M. Caroline Vos ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Abu S. Abdullah ◽  
Anthony J. Hedley ◽  
Sophia S. C. Chan ◽  
Tai-Hing Lam

This study examined if 2-week free nicotine replacement therapy (NRT) would be more effective than 1-week free NRT to help smokers quit smoking at 6 and 12 months. In a single-blinded randomized controlled trial design, 562 Chinese smokers who attended a smoking cessation clinic in Hong Kong, China, were randomly allocated into two groups (A1 and A2): A1 (n=284) received behavioural counselling with free NRT for 1 week; A2 (n=278) received similar counselling with free NRT for 2 weeks. All subjects received printed self-help materials to support their quitting efforts. A structured questionnaire was used for data collection, including pattern of NRT use and self-reported 7-day point prevalence quit rate at 6 months and 12 months. Among the participants, the mean number of cigarettes smoked per day was 18.8 (SD=10.9). By intention-to-treat analysis, 7-day point prevalence quit rates were not significantly different between A1 and A2 groups at 6-month (27.5% versus 27.3%;P=0.97) and 12-month (21.1% versus 21.2%;P=0.98) followup. The findings suggest that two-week free NRT was not more effective than 1-week free NRT to increase smoking cessation rate among Chinese smokers.


2020 ◽  
Author(s):  
Ivan Bindoff ◽  
Tristan R Ling ◽  
Peter Gee ◽  
Benjamin Geelan ◽  
Stuart G Ferguson ◽  
...  

BACKGROUND Numerous mobile health (mHealth) apps have been developed to support smokers attempting to quit smoking. Although these apps have been reported to be successful, only modest improvements in the quit rate have been measured. It has been proposed that efforts to improve user engagement and retention may improve the quit rate further. Owing to the high cost of smoking-related disease, it is considered worthwhile to pursue even small improvements. OBJECTIVE The aim of this study was to test a novel smartphone app that leverages premium currency strategies developed by the mobile games industry in an attempt to improve engagement and retention with a smoking cessation intervention. METHODS We designed and developed a smoking cessation app called “Quittr” in line with previously developed smoking cessation mHealth apps. In addition to this established framework, we added a stand-alone fully featured city-building clicker-style game called “Tappy Town,” and a premium virtual currency called “QuitCoins.” The user earns QuitCoins for using the app in a way that contributes positively toward their quit attempt, and they can redeem these coins in Tappy Town for bonuses. To establish whether these features improved engagement and retention, we ran a 5-month randomized controlled trial where the intervention group had the full app with the extra games features, while the control group had the standard app only. Recruitment was performed via web-based advertising. Participants (N=175) had no direct contact with the researchers or other support staff. RESULTS No significant differences in terms of engagement, retention, or smoking outcomes were found between the control and intervention groups. However, survey data indicated that the majority of the participants valued Tappy Town (10/17, 59%) and the QuitCoins rewards system (13/17, 77%). Usage data also suggested that Tappy Town was widely played and was generally appealing to users (mean total time spent in app, control group: 797 seconds vs intervention group: 3502 seconds, <i>P&lt;</i>.001). Analysis of the results suggests that users in the intervention group may have been negatively affected by the aspects of the chosen design, and some theories were explored to explain this unexpected outcome. CONCLUSIONS Although the novel features of the Quittr app failed to improve the key outcomes measured in this study, there were enough positive indications to warrant further exploration of the concept. Additional research will be required to identify and correct any design flaws that may have adversely affected our participants before a follow-up study can be completed. CLINICALTRIAL Australian and New Zealand Clinical Trials Register ACTRN12617000491369; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372661&amp;isReview=true


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