Pub Date : 2020-09-01Epub Date: 2020-05-21DOI: 10.1017/jsc.2020.17
Alana M Rojewski, Lindsay R Duncan, Allison J Carroll, Anthony Brown, Amy Latimer-Cheung, Paula Celestino, Christine Sheffer, Andrew Hyland, Benjamin A Toll
Introduction: Recent evidence suggests that quitline text messaging is an effective treatment for smoking cessation, but little is known about the relative effectiveness of the message content.
Aims: A pilot study of the effects of gain-framed (GF; focused on the benefits of quitting) versus loss-framed (LF; focused on the costs of continued smoking) text messages among smokers contacting a quitline.
Methods: Participants were randomized to receive LF (N = 300) or GF (N = 300) text messages for 30 weeks. Self-reported 7-day point prevalence abstinence and number of 24 h quit attempts were assessed at week 30. Intent-to-treat (ITT) and responder analyses for smoking cessation were conducted using logistic regression.
Results: The ITT analysis showed 17% of the GF group quit smoking compared to 15% in the LF group (P = 0.508). The responder analysis showed 44% of the GF group quit smoking compared to 35% in the LF group (P = 0.154). More participants in the GF group reported making a 24 h quit attempt compared to the LF group (98% vs. 93%, P = 0.046).
Conclusions: Although there were no differences in abstinence rates between groups at the week 30 follow-up, participants in the GF group made more quit attempts than those in the LF group.
{"title":"Quit4hlth: a preliminary investigation of tobacco treatment with gain-framed and loss-framed text messages for quitline callers.","authors":"Alana M Rojewski, Lindsay R Duncan, Allison J Carroll, Anthony Brown, Amy Latimer-Cheung, Paula Celestino, Christine Sheffer, Andrew Hyland, Benjamin A Toll","doi":"10.1017/jsc.2020.17","DOIUrl":"https://doi.org/10.1017/jsc.2020.17","url":null,"abstract":"<p><strong>Introduction: </strong>Recent evidence suggests that quitline text messaging is an effective treatment for smoking cessation, but little is known about the relative effectiveness of the message content.</p><p><strong>Aims: </strong>A pilot study of the effects of gain-framed (GF; focused on the benefits of quitting) versus loss-framed (LF; focused on the costs of continued smoking) text messages among smokers contacting a quitline.</p><p><strong>Methods: </strong>Participants were randomized to receive LF (<i>N</i> = 300) or GF (<i>N</i> = 300) text messages for 30 weeks. Self-reported 7-day point prevalence abstinence and number of 24 h quit attempts were assessed at week 30. Intent-to-treat (ITT) and responder analyses for smoking cessation were conducted using logistic regression.</p><p><strong>Results: </strong>The ITT analysis showed 17% of the GF group quit smoking compared to 15% in the LF group (<i>P</i> = 0.508). The responder analysis showed 44% of the GF group quit smoking compared to 35% in the LF group (<i>P</i> = 0.154). More participants in the GF group reported making a 24 h quit attempt compared to the LF group (98% vs. 93%, <i>P</i> = 0.046).</p><p><strong>Conclusions: </strong>Although there were no differences in abstinence rates between groups at the week 30 follow-up, participants in the GF group made more quit attempts than those in the LF group.</p>","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":"15 3","pages":"143-148"},"PeriodicalIF":0.9,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2020.17","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39746215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan G. N. Seltzer, Stephen S. Michael, Heather P. York, Nicole P. Yuan
The Minimal Data Set are demographic and tobacco use questions asked during enrollment at many quitlines. We tested whether these questions can be used to predict program engagement and success, and to evaluate whether findings can inform the tailoring of protocols to disparate populations. We analyzed 7,920 Arizona Smokers' Helpline treatment records to test a Structural Equation Model of the mediating effects of quitline services and short-term cessation outcomes on the relationship between intake questions and 7-month quit rate. Education (b = 0.05), gender (b = 0.03), Medicaid (b = −0.09), longest length of previous quit attempt (b = 0.05), confidence in quitting for 24 h (b = 0.04), environmental risk (b = −0.05), and life stress (b = 0.04) all significantly (P < 0.05) predicted engagement in quitline services. Program engagement had a direct effect on an in-program cessation outcomes construct (b = 0.47) and 7-month quit rate (b = 0.44). This in-program cessation outcomes construct had a significant direct effect on 7-month quit rate (b = −0.12). This model showing the relationship between program engagement and outcomes suggests that tailoring protocols can focus on engaging clients who have historically not taken full advantage of quitline services.
{"title":"The predictive value of intake questions on informing tailored quitline services","authors":"Ryan G. N. Seltzer, Stephen S. Michael, Heather P. York, Nicole P. Yuan","doi":"10.1017/jsc.2020.18","DOIUrl":"https://doi.org/10.1017/jsc.2020.18","url":null,"abstract":"The Minimal Data Set are demographic and tobacco use questions asked during enrollment at many quitlines. We tested whether these questions can be used to predict program engagement and success, and to evaluate whether findings can inform the tailoring of protocols to disparate populations. We analyzed 7,920 Arizona Smokers' Helpline treatment records to test a Structural Equation Model of the mediating effects of quitline services and short-term cessation outcomes on the relationship between intake questions and 7-month quit rate. Education (b = 0.05), gender (b = 0.03), Medicaid (b = −0.09), longest length of previous quit attempt (b = 0.05), confidence in quitting for 24 h (b = 0.04), environmental risk (b = −0.05), and life stress (b = 0.04) all significantly (P < 0.05) predicted engagement in quitline services. Program engagement had a direct effect on an in-program cessation outcomes construct (b = 0.47) and 7-month quit rate (b = 0.44). This in-program cessation outcomes construct had a significant direct effect on 7-month quit rate (b = −0.12). This model showing the relationship between program engagement and outcomes suggests that tailoring protocols can focus on engaging clients who have historically not taken full advantage of quitline services.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2020.18","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48824643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zachary Cahn, R. Haardörfer, Michael Lewis, Yanwen Wang, C. Berg
In the above mentioned article, table 2 has been published with an error. The cessation odds ratios for 2011 single NRT use, 2011 multiple NRT use, and 2012–13 single NRT are erroneously duplicated, repeating the corresponding odds ratios for e-cigarette use. The correct table is displayed below. Reference Cahn, Z., Haardörfer, R., Lewis, M., Wang, Y., & Berg, C. (2019). Examining E-Cigarette Purchases and Cessation in a Consumer Panel of Smokers. Journal of Smoking Cessation, 14(1), 32–41. doi:10.1017/jsc.2018.11
{"title":"Examining E-Cigarette Purchases and Cessation in a Consumer Panel of Smokers – CORRIGENDUM","authors":"Zachary Cahn, R. Haardörfer, Michael Lewis, Yanwen Wang, C. Berg","doi":"10.1017/jsc.2020.5","DOIUrl":"https://doi.org/10.1017/jsc.2020.5","url":null,"abstract":"In the above mentioned article, table 2 has been published with an error. The cessation odds ratios for 2011 single NRT use, 2011 multiple NRT use, and 2012–13 single NRT are erroneously duplicated, repeating the corresponding odds ratios for e-cigarette use. The correct table is displayed below. Reference Cahn, Z., Haardörfer, R., Lewis, M., Wang, Y., & Berg, C. (2019). Examining E-Cigarette Purchases and Cessation in a Consumer Panel of Smokers. Journal of Smoking Cessation, 14(1), 32–41. doi:10.1017/jsc.2018.11","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2020.5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45387122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01Epub Date: 2019-11-08DOI: 10.1017/jsc.2019.22
L C Abroms, C L Heminger, A L Boal, J M Van Alstyne, N Krishnan
Introduction: Studies 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.
Aims: This study reports on participants' experiences with the program and explores aspects of the program that they liked and disliked.
Methods: Self-reported experiences of the program were collected through a follow-up survey conducted one month after enrollment (n=185). Participant responses to open-ended items were dual coded by independent coders.
Results: Overall 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%).
Conclusions: The 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.
{"title":"Text2Quit: An analysis of user experiences with a mobile smoking cessation program.","authors":"L C Abroms, C L Heminger, A L Boal, J M Van Alstyne, N Krishnan","doi":"10.1017/jsc.2019.22","DOIUrl":"10.1017/jsc.2019.22","url":null,"abstract":"<p><strong>Introduction: </strong>Studies 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.</p><p><strong>Aims: </strong>This study reports on participants' experiences with the program and explores aspects of the program that they liked and disliked.</p><p><strong>Methods: </strong>Self-reported experiences of the program were collected through a follow-up survey conducted one month after enrollment (n=185). Participant responses to open-ended items were dual coded by independent coders.</p><p><strong>Results: </strong>Overall 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%).</p><p><strong>Conclusions: </strong>The 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.</p>","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":"15 1","pages":"23-28"},"PeriodicalIF":0.9,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994940/pdf/nihms-1541196.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25538954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Bloom, M. Carpenter, K. Walaska, Laura Hunt, Kathy Keable, Maryam Rayani, S. Japuntich
Nicotine replacement therapy sampling (NRTS) refers to providing all smokers, regardless of interest in quitting, with free samples of over-the-counter NRT. NRTS has been shown to increase quit attempts and abstinence.We conducted a pilot trial with a goal to establish the feasibility and acceptability of NRTS in a dental clinic, where providing free samples is routine and universal.Participants (N = 30) completed a baseline survey and were randomized to receive or not receive a 2-week supply of NRT samples (14 mg patches and 4 mg lozenges) in a 3:1 ratio.We enrolled 30 of 50 potentially eligible patients, of whom 26 completed a 4-week follow-up survey. At follow-up, 61% of the NRT group reported use of the samples and 26% said they used more NRT obtained on their own. In the No NRT group, only one patient reported using NRT. No patients reported past week abstinence, but 43% of the NRT group vs. 29% of the No NRT group reported making a quit attempt lasting longer than 24 h.The pattern of results suggests that conducting a larger trial would be feasible and that the NRTS intervention was acceptable to dental patients.
{"title":"Pilot trial of nicotine replacement therapy sampling in a dental care clinic","authors":"E. Bloom, M. Carpenter, K. Walaska, Laura Hunt, Kathy Keable, Maryam Rayani, S. Japuntich","doi":"10.1017/jsc.2019.17","DOIUrl":"https://doi.org/10.1017/jsc.2019.17","url":null,"abstract":"Nicotine replacement therapy sampling (NRTS) refers to providing all smokers, regardless of interest in quitting, with free samples of over-the-counter NRT. NRTS has been shown to increase quit attempts and abstinence.We conducted a pilot trial with a goal to establish the feasibility and acceptability of NRTS in a dental clinic, where providing free samples is routine and universal.Participants (N = 30) completed a baseline survey and were randomized to receive or not receive a 2-week supply of NRT samples (14 mg patches and 4 mg lozenges) in a 3:1 ratio.We enrolled 30 of 50 potentially eligible patients, of whom 26 completed a 4-week follow-up survey. At follow-up, 61% of the NRT group reported use of the samples and 26% said they used more NRT obtained on their own. In the No NRT group, only one patient reported using NRT. No patients reported past week abstinence, but 43% of the NRT group vs. 29% of the No NRT group reported making a quit attempt lasting longer than 24 h.The pattern of results suggests that conducting a larger trial would be feasible and that the NRTS intervention was acceptable to dental patients.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2019.17","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41532419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hard-core smokers have been identified as a potential public health challenge. The trans-theoretical model lacks the specificity to identify hard-core smokers. The precaution adoption process model (PAPM) is a stage-based behaviour change model which includes ‘no intent to quit’ as a distinct stage and so may be useful in identifying hard-core smokers.The aim of this study was to apply the PAPM to a community based sample of smokers to determine whether it provides a useful approach to identifying hard-core smokers.We surveyed smokers in Australia who were recruited through social media and an online data collection agency.The sample included 336 current smokers, 11.9% were in Stage 4 of the PAPM – i.e. had decided not to quit. Stage 4 smokers are more resistant to quitting and marked by their similarities to hard-core smokers. This is further amplified when addressing Stage 4 smokers with no previous quit attempt.Stage 4 smokers with no previous quit attempts are aligned with a hard-core smoker profile with higher levels of nicotine dependence, greater cigarette consumption and low socio-economic status. Further research is required to determine if PAPM is a valid predictive model for identifying hard-core smokers in clinical practice.
{"title":"Smokers who do not quit: Can the precaution adoption process model help identify hard-core smokers?","authors":"Tanya Buchanan, C. Magee, P. Kelly","doi":"10.1017/jsc.2019.20","DOIUrl":"https://doi.org/10.1017/jsc.2019.20","url":null,"abstract":"Hard-core smokers have been identified as a potential public health challenge. The trans-theoretical model lacks the specificity to identify hard-core smokers. The precaution adoption process model (PAPM) is a stage-based behaviour change model which includes ‘no intent to quit’ as a distinct stage and so may be useful in identifying hard-core smokers.The aim of this study was to apply the PAPM to a community based sample of smokers to determine whether it provides a useful approach to identifying hard-core smokers.We surveyed smokers in Australia who were recruited through social media and an online data collection agency.The sample included 336 current smokers, 11.9% were in Stage 4 of the PAPM – i.e. had decided not to quit. Stage 4 smokers are more resistant to quitting and marked by their similarities to hard-core smokers. This is further amplified when addressing Stage 4 smokers with no previous quit attempt.Stage 4 smokers with no previous quit attempts are aligned with a hard-core smoker profile with higher levels of nicotine dependence, greater cigarette consumption and low socio-economic status. Further research is required to determine if PAPM is a valid predictive model for identifying hard-core smokers in clinical practice.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2019.20","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47148908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Foley, Eunyoung Y. Song, Jessica R Pockey, Cindy Jones, J. Spangler, David P. Miller, Whitney D. Davis, E. Sutfin
Uninsured patients are more likely than the general population to use tobacco and less likely to quit.To determine if the mode of delivering the PHS Guidelines influenced the effectiveness of smoking cessation among patients in a safety net setting.Six free clinics were randomly assigned to a training program delivered by an academic physician or community partner plus video support. A repeated cross-sectional survey of patients was conducted at three waves to assess effectiveness to promote quitting.Tobacco use was triple the rate of the US population: 57.7% (Wave 1), 44.7% (Wave 2), and 48.9% (Wave 3). Patients were more likely to report receipt of at least one evidence-based strategy to promote quitting at Wave 2 (AOR = 2.33, 95% CI (1.18–4.58)). Patients treated in clinics trained by the community partner were significantly more likely to report receiving cessation assistance at Wave 2 (AOR 2.54, 95%CI 1.29–5.00) and the trend was similar, but not significant at Wave 3. Patients in the community partner-led arm were significantly less likely to report tobacco use at Wave 3 (AOR 0.59, 95% CI 0.35–0.99).Implementation of the PHS Guidelines in free clinics demonstrates preliminary efficacy, with delivery by community partners offering greater scalability.
{"title":"A pilot study to implement and sustain the US PHS clinical practice guidelines for treating tobacco use and dependence in free clinics, a safety net care setting for the uninsured","authors":"K. Foley, Eunyoung Y. Song, Jessica R Pockey, Cindy Jones, J. Spangler, David P. Miller, Whitney D. Davis, E. Sutfin","doi":"10.1017/jsc.2019.21","DOIUrl":"https://doi.org/10.1017/jsc.2019.21","url":null,"abstract":"Uninsured patients are more likely than the general population to use tobacco and less likely to quit.To determine if the mode of delivering the PHS Guidelines influenced the effectiveness of smoking cessation among patients in a safety net setting.Six free clinics were randomly assigned to a training program delivered by an academic physician or community partner plus video support. A repeated cross-sectional survey of patients was conducted at three waves to assess effectiveness to promote quitting.Tobacco use was triple the rate of the US population: 57.7% (Wave 1), 44.7% (Wave 2), and 48.9% (Wave 3). Patients were more likely to report receipt of at least one evidence-based strategy to promote quitting at Wave 2 (AOR = 2.33, 95% CI (1.18–4.58)). Patients treated in clinics trained by the community partner were significantly more likely to report receiving cessation assistance at Wave 2 (AOR 2.54, 95%CI 1.29–5.00) and the trend was similar, but not significant at Wave 3. Patients in the community partner-led arm were significantly less likely to report tobacco use at Wave 3 (AOR 0.59, 95% CI 0.35–0.99).Implementation of the PHS Guidelines in free clinics demonstrates preliminary efficacy, with delivery by community partners offering greater scalability.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2019.21","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43682985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive-behavioral therapy (CBT) for tobacco cessation is an evidence-based, yet underutilized intervention. More research is needed to understand why some treatment-seekers are ‘no-shows’ for the initial visit.Examine factors associated with participant no-shows among smokers scheduled for group CBT.Tobacco smokers (N = 115) were recruited from the community, screened, and if eligible, scheduled to begin group-based CBT plus nicotine replacement therapy. At the screening, participants reported their recruitment source, demographics, smoking history, and contact information. We computed the distance to the study site using the address provided. Regression analyses tested predictors of participant no-shows for the initial visit.Eligible participants were mostly recruited via flyers (56%), female (58%), African American (61%), middle-aged (Mage = 49 years), averaged 16 cigarettes per day, and resided 8 miles away from the study site. The overall initial visit no-show rate was 56%. Bivariate analyses indicated that respondents who were recruited online, younger, and lived further away from the site were more likely to be no-shows. Younger age significantly predicted failure to attend in the multivariable model.Findings highlight potential barriers to participation in a group-based intervention, and have implications for pre-intervention engagement strategies and modifications that may increase reach and uptake.
{"title":"Predictors of participant ‘no-shows’ for intensive behavioral tobacco cessation treatment: recruitment, demographics, and distance","authors":"Jordin Sirody, Michaela Munday Stryffeler, Monica Webb Hooper","doi":"10.1017/jsc.2020.7","DOIUrl":"https://doi.org/10.1017/jsc.2020.7","url":null,"abstract":"Cognitive-behavioral therapy (CBT) for tobacco cessation is an evidence-based, yet underutilized intervention. More research is needed to understand why some treatment-seekers are ‘no-shows’ for the initial visit.Examine factors associated with participant no-shows among smokers scheduled for group CBT.Tobacco smokers (N = 115) were recruited from the community, screened, and if eligible, scheduled to begin group-based CBT plus nicotine replacement therapy. At the screening, participants reported their recruitment source, demographics, smoking history, and contact information. We computed the distance to the study site using the address provided. Regression analyses tested predictors of participant no-shows for the initial visit.Eligible participants were mostly recruited via flyers (56%), female (58%), African American (61%), middle-aged (Mage = 49 years), averaged 16 cigarettes per day, and resided 8 miles away from the study site. The overall initial visit no-show rate was 56%. Bivariate analyses indicated that respondents who were recruited online, younger, and lived further away from the site were more likely to be no-shows. Younger age significantly predicted failure to attend in the multivariable model.Findings highlight potential barriers to participation in a group-based intervention, and have implications for pre-intervention engagement strategies and modifications that may increase reach and uptake.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2020.7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41837469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
According to UK guidelines, stop smoking practitioners are expected to be open and supportive towards e-cigarette users. As adequate support from practitioners can be instrumental for smokers to successfully quit smoking, it is crucial to explore the challenges that stop smoking practitioners face when advising on e-cigarette use.This qualitative study explores the challenges that stop smoking practitioners face when advising patients on e-cigarettes.A qualitative study was conducted with semi-structured interviews with 10 stop smoking practitioners from four stop smoking services in London. Face to face interviews were recorded and transcribed verbatim. Inductive thematic analysis was conducted to explore practitioners' experiences when advising on e-cigarettes.Two themes were noted: practitioners' concerns and practitioner–patient interactions. Practitioners were particularly concerned regarding the lack of information, safety issues and the maintenance of addiction linked with e-cigarettes. They emphasised the difficulty of advising on a product that they cannot prescribe. Overall, practitioners expressed the lack of confidence when advising on e-cigarettes since they were often unprepared and not able to answer patients' questions on e-cigarettes.Stop smoking practitioners' lack of confidence and limited knowledge regarding e-cigarettes emphasises the necessity for training and guidance on e-cigarettes to improve their interactions with patients on this subject. In particular, practitioners need to be provided with clear guidance on how to counsel patients about how and where to buy e-cigarettes.
{"title":"‘It's a bit of a grey area’: challenges faced by stop smoking practitioners when advising on e-cigarettes","authors":"Dayyanah Sumodhee, Rachel Povey, Nikolas Pontikos","doi":"10.1017/jsc.2019.25","DOIUrl":"https://doi.org/10.1017/jsc.2019.25","url":null,"abstract":"According to UK guidelines, stop smoking practitioners are expected to be open and supportive towards e-cigarette users. As adequate support from practitioners can be instrumental for smokers to successfully quit smoking, it is crucial to explore the challenges that stop smoking practitioners face when advising on e-cigarette use.This qualitative study explores the challenges that stop smoking practitioners face when advising patients on e-cigarettes.A qualitative study was conducted with semi-structured interviews with 10 stop smoking practitioners from four stop smoking services in London. Face to face interviews were recorded and transcribed verbatim. Inductive thematic analysis was conducted to explore practitioners' experiences when advising on e-cigarettes.Two themes were noted: practitioners' concerns and practitioner–patient interactions. Practitioners were particularly concerned regarding the lack of information, safety issues and the maintenance of addiction linked with e-cigarettes. They emphasised the difficulty of advising on a product that they cannot prescribe. Overall, practitioners expressed the lack of confidence when advising on e-cigarettes since they were often unprepared and not able to answer patients' questions on e-cigarettes.Stop smoking practitioners' lack of confidence and limited knowledge regarding e-cigarettes emphasises the necessity for training and guidance on e-cigarettes to improve their interactions with patients on this subject. In particular, practitioners need to be provided with clear guidance on how to counsel patients about how and where to buy e-cigarettes.","PeriodicalId":39350,"journal":{"name":"Journal of Smoking Cessation","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2019-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/jsc.2019.25","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46082192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Brunette, Joelle C Ferron, Pamela Geiger, S. Guarino, Sarah I Pratt, S. Lord, Kelly A. Aschbrenner, A. Adachi-Mejia
People with serious mental illness (SMI) have high rates of smoking and need better access to cessation treatment. Mobile behavioral interventions for cessation have been effective for the general population, but are not usable by many with SMI due to cognitive impairments or severe symptoms. We developed a tailored mobile cessation treatment intervention with features to reduce cognitive load.We enrolled 20 smokers with SMI and showed them how to use the program on a device of their choice. They were assessed at 8 weeks for intervention use, usability, satisfaction, smoking characteristics, and biologically verified abstinence.Participants accessed an average of 23.6 intervention sessions (SD = 17.05; range 1–48; median = 17.5) for an average total of 231.64 minutes (SD = 227.13; range 4.89–955.21; median = 158.18). For 87% of the sessions, average satisfaction scores were 3 or greater on a scale of 1–4. Regarding smoking, 25% of participants had reduced their smoking and 10% had biologically verified abstinence from smoking at 8 weeks.Home and community use of this mobile cessation intervention was feasible among smokers with SMI. Further research is needed to evaluate such scalable approaches to increase access to behavioral treatment for this group.
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