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Goh KW, Ming LC, Al-Worafi YM, Tan CS, Hermansyah A, Rehman IU, Ali Z. Effectiveness of digital tools for smoking cessation in Asian countries: a systematic review. Ann Med 2024; 56:2271942. [PMID: 38346353 PMCID: PMC11249140 DOI: 10.1080/07853890.2023.2271942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/12/2023] [Indexed: 02/15/2024] Open
Abstract
AIM The use of tobacco is responsible for many preventable diseases and deaths worldwide. Digital interventions have greatly improved patient health and clinical care and have proven to be effective for quitting smoking in the general population due to their flexibility and potential for personalization. However, there is limited evidence on the effectiveness of digital interventions for smoking cessation in Asian countries. METHODS Three major databases - Web of Science (WOS), Scopus, and PubMed - for relevant studies published between 1 January 2010 and 12 February 2023 were searched for studies evaluating the effectiveness of digital intervention for smoking cessation in Asian countries. RESULTS A total of 25 studies of varying designs were eligible for this study collectively involving a total of n = 22,005 participants from 9 countries. Among different digital tools for smoking cessation, the highest abstinence rate (70%) was reported with cognitive behavioural theory (CBT)-based smoking cessation intervention via Facebook followed by smartphone app (60%), WhatsApp (59.9%), and Pharmacist counselling with Quit US smartphone app (58.4%). However, WhatsApp was preferred over Facebook intervention due to lower rates of relapse. WeChat was responsible for 15.6% and 41.8% 7-day point prevalence abstinence. For telephone/text messaging abstinence rate ranged from 8-44.3% and quit rates from 6.3% to 16.8%. Whereas, no significant impact of media/multimedia messages and web-based learning on smoking cessation was observed in this study. CONCLUSION Based on the study findings the use of digital tools can be considered an alternative and cost-effective smoking cessation intervention as compared to traditional smoking cessation interventions.
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Affiliation(s)
- Khang Wen Goh
- Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia
| | - Long Chiau Ming
- Department of Pharmacy Practice, Faculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
- School of Medical and Life Sciences, Sunway University, Sunway City, Malaysia
| | - Yaser Mohammed Al-Worafi
- College of Medical Sciences, Azal University for Human Development, Sana’a, Yemen
- College of Pharmacy, University of Science and Technology of Fujairah, Fujairah, UAE
| | - Ching Siang Tan
- School of Pharmacy, KPJ Healthcare University, Nilai, Malaysia
| | - Andi Hermansyah
- Department of Pharmacy Practice, Faculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia
| | - Inayat Ur Rehman
- Department of Pharmacy, Garden Campus, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Zahid Ali
- Department of Pharmacy, University of Peshawar, Peshawar, Pakistan
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Kitagawa K, Nomura K, Tsuji M. [Digital devices for smoking cessation among working women: Insights from survey of academic papers]. SANGYO EISEIGAKU ZASSHI = JOURNAL OF OCCUPATIONAL HEALTH 2024; 66:168-173. [PMID: 38777754 DOI: 10.1539/sangyoeisei.2023-040-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Affiliation(s)
- Kyoko Kitagawa
- Department of Anatomy, Ultrastructural Cell Biology, Faculty of Medicine, University of Miyazaki
- Department of Environmental Health, University of Occupational and Environmental Health, Japan
| | - Kyoko Nomura
- Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine
| | - Mayumi Tsuji
- Department of Environmental Health, University of Occupational and Environmental Health, Japan
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Benson L, Chen M, De La Torre I, Hébert ET, Alexander A, Ra CK, Kendzor DE, Businelle MS. Associations between morning affect and later-day smoking urges and behavior. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2024; 38:277-295. [PMID: 38095939 PMCID: PMC11065619 DOI: 10.1037/adb0000970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
OBJECTIVE Affective experiences are associated with smoking urges and behavior. Few studies have examined the temporal nature of these associations within a day, such as whether positive and negative affect in the morning are associated with smoking urges and behavior later in the day. METHOD Participants (N = 63; MAge = 50 years, 48% female; 60% White) were randomized into one of three smoking cessation interventions and answered up to five daily ecological momentary assessments for 28 days during a quit attempt (M = 21.0 days, SD = 7.1). Before analysis, scores for morning positive and negative affect and later-day smoking urges and behavior were calculated. RESULTS On days when individuals' morning positive affect was higher than usual, later-day smoking urges tended to be lower than usual. In contrast, on days when individuals' morning negative affect was higher than usual, later-day smoking urges tended to be higher than usual, and smoking was more likely. Further, individuals who had higher characteristic morning positive affect tended to have less intense later-day smoking urges, whereas those who tended to have higher characteristic morning negative affect tended to have more intense later-day smoking urges. CONCLUSIONS Morning positive and negative affect were associated with later-day smoking urges, and morning negative affect was related to later-day smoking behavior. Future research should examine whether interventions that boost positive affect on mornings when it is lower than usual and attenuate negative affect on mornings when it is higher than usual, may reduce the intensity of smoking urges and the likelihood of smoking later in the day. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Lizbeth Benson
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Meng Chen
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center
| | - Irene De La Torre
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston School of Public Health, Austin, TX, United States
| | - Adam Alexander
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K. Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Rutgers Cancer Institute of New Jersey, RWJ Medical School, Rutgers University, New Brunswick, NJ
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Bendotti H, Ireland D, Lawler S, Oates D, Gartner C, Marshall HM. Introducing Quin: The Design and Development of a Prototype Chatbot to Support Smoking Cessation. Nicotine Tob Res 2024; 26:612-620. [PMID: 37936253 PMCID: PMC11033568 DOI: 10.1093/ntr/ntad217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/16/2023] [Accepted: 10/23/2023] [Indexed: 11/09/2023]
Abstract
INTRODUCTION Chatbots emulate human-like interactions and may usefully provide on-demand access to tailored smoking cessation support. We have developed a prototype smartphone application-based smoking cessation chatbot, named Quin, grounded in real-world, evidence-, and theory-based smoking cessation counseling sessions. METHODS Conversation topics and interactions in Quitline counseling sessions (N = 30; 18 h) were characterized using thematic, content, and proponent analyses of transcripts. Quin was created by programming this content using a chatbot framework which interacts with users via speech to text. Reiterative changes and additions were made to the conversation structure and dialogue following regular consultation with a multidisciplinary team from relevant fields, and from evidence-based resources. RESULTS Chatbot conversations were encoded into initial and scheduled follow-up "appointments." Collection of demographic information, and smoking and quit history, informed tailored discussion about pharmacotherapy preferences, behavioral strategies, and social and professional support to form a quit plan. Follow-up appointments were programmed to check in on user progress, review elements of the quit plan, answer questions, and solve issues. Quin was programmed to include teachable moments and educational content to enhance health literacy and informed decision-making. Personal agency is encouraged through exploration and self-reflection of users' personal behaviors, experiences, preferences, and ideas. CONCLUSIONS Quin's successful development represents a movement toward improving access to personalized smoking cessation support. Qualitative foundations of Quin provide greater insight into the smoking cessation counseling relationship and enhances the conversational ability of the technology. The prototype chatbot will be refined through beta-testing with end users and stakeholders prior to evaluation in a clinical trial. IMPLICATIONS Our novel study provides transparent description of the translation of qualitative evidence of real-world smoking cessation counseling sessions into the design and development of a prototype smoking cessation chatbot. The successful iterative development of Quin not only embodies the science and art of health promotion, but also a step forward in expanding the reach of tailored, evidence based, in-pocket support for people who want to quit smoking.
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Affiliation(s)
- Hollie Bendotti
- Thoracic Research Centre, Faculty of Medicine, University of Queensland, Chermside, Queensland, Australia
- The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Queensland, Australia
| | - David Ireland
- The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Queensland, Australia
| | - Sheleigh Lawler
- School of Public Health, Faculty of Medicine, University of Queensland, Herston, Queensland, Australia
| | - David Oates
- The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Queensland, Australia
| | - Coral Gartner
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, University of Queensland, Herston, Queensland, Australia
| | - Henry M Marshall
- Thoracic Research Centre, Faculty of Medicine, University of Queensland, Chermside, Queensland, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Metro North Hospital and Health Service, Chermside, Queensland, Australia
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Chen S, Tang J, Wu C, Zhang G, Zhang J, Liao Y. Preliminary Efficacy of a Cognitive Behavioral Therapy-Based Smartphone App for Smoking Cessation in China: Randomized Controlled Pilot Trial. JMIR Form Res 2024; 8:e48050. [PMID: 38498030 PMCID: PMC10985609 DOI: 10.2196/48050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/27/2023] [Accepted: 09/28/2023] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND The overall prevalence of cigarette smokers in China is very high, and China's total cigarette consumption makes up more than 40% of the world's consumption. In view of the lack of smoking cessation services and social support in China and the effectiveness of mobile phone apps for quitting smoking in other countries, we carried out a smartphone app-based smoking cessation trial in China. OBJECTIVE This study aimed to evaluate the efficacy of a cognitive behavioral therapy (CBT)-based smoking cessation smartphone app among smokers seeking treatment in China. METHODS We conducted a randomized controlled, web-based pilot clinical trial in China between February 23 and June 27, 2021. Eligible participants were randomly assigned to the smoking cessation app intervention group or the control group in a ratio of 1:1. The intervention group received the CBT smoking cessation intervention using a smartphone app, and the control group received a "thank you" message. The intervention was 4 weeks long, and the patients were followed up for 4 weeks. The primary outcome was self-reported continuous smoking abstinence at week 4 after the quit date. The secondary outcomes included self-reported 7-day point prevalence of smoking abstinence; reduction of the number of cigarettes smoked per day at weeks 1, 2, 3, and 4; and program acceptability. RESULTS A total of 973 people were recruited to quit smoking, of whom 262 completed basic information, 56 were excluded, and 206 were randomized and included in the final analysis. There were 189 (91.7%) men and 17 (8.3%) women, with an average age of 34.46 (SD 7.53) years and an average daily smoking rate of 15.93 (SD 7.10) cigarettes/day. We found 30 (29.7%) of the 101 participants in the intervention group and 7 (6.7%) of the 105 participants in the control group reported continuous smoking cessation after the quit date at week 4 (odds ratio 5.92, 95% CI 3.78-9.26; P<.001). The 7-day point prevalence abstinence rate of the intervention group varied from 42.6% (43/101) to 46.5% (47/101) after 1, 2, 3, and 4 weeks, while the control group varied from 18.1% (19/105) to 26.7% (28/105). Compared to the control group, continued smokers consumed 1.5-3.0 fewer cigarettes per day in the intervention group. The overall program got positive user feedback with a high satisfaction rate (66/87, 76%) and an average Mobile Application Rating Scale user version score of 3.46. CONCLUSIONS Our pilot study provided preliminary evidence that the CBT-based smoking cessation smartphone app led to improved smoking quit rates versus control in Chinese smokers. The study demonstrated the CBT-based smartphone app may be an effective and feasible digital treatment model to help smokers quit, which may improve smoking cessation service quality and accessibility in China. TRIAL REGISTRATION ClinicalTrials.gov NCT04421170; https://clinicaltrials.gov/study/NCT04421170. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2020-041985.
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Affiliation(s)
- Shanshan Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinsong Tang
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Congyang Wu
- Johnson & Johnson Pharmaceutical Company, Shanghai, China
| | - Ge Zhang
- Johnson & Johnson Pharmaceutical Company, Shanghai, China
| | - Jing Zhang
- Johnson & Johnson Pharmaceutical Company, Shanghai, China
| | - Yanhui Liao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Puljević C, Meciar I, Holland A, Stjepanović D, Snoswell CL, Thomas EE, Morphett K, Kang H, Chan G, Grobler E, Gartner CE. Systematic review and meta-analysis of text messaging interventions to support tobacco cessation. Tob Control 2024:tc-2023-058323. [PMID: 38448226 DOI: 10.1136/tc-2023-058323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/21/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE To review randomised controlled trials (RCTs) investigating the effectiveness of text message-based interventions for smoking cessation, including the effects of dose (number of text messages) and concomitant use of behavioural or pharmacological interventions. DATA SOURCES We searched seven databases (PubMed, CINAHL, PsycINFO, Scopus, EMBASE, Cochrane Library and Web of Science), Google Scholar and the reference lists of relevant publications for RCTs. Eligible studies included participants aged ≥15 years who smoked tobacco at enrolment. STUDY SELECTION One reviewer screened titles and abstracts and two reviewers independently screened full texts of articles. DATA EXTRACTION One of three reviewers independently extracted data on study and intervention characteristics and smoking abstinence rates using Qualtrics software. DATA SYNTHESIS 30 of the 40 included studies reported higher rates of smoking cessation among those receiving text messaging interventions compared with comparators, but only 10 were statistically significant. A meta-analysis of seven RCTs found that participants receiving text messages were significantly more likely to quit smoking compared with participants in no/minimal intervention or 'usual care' conditions (risk ratio 1.87, 95% CI 1.52 to 2.29, p <0.001). Three trials found no benefit from a higher dose of text messages on smoking cessation. Two trials that tested the added benefit of text messaging to pharmacotherapy reported outcomes in favour of adding text messaging. CONCLUSIONS Findings suggest that text messaging-based interventions are effective at promoting smoking cessation. Further research is required to establish if any additional benefit is gained from an increased number of text messages or concurrent pharmacotherapy or behavioural counselling.
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Affiliation(s)
- Cheneal Puljević
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Isabel Meciar
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Alice Holland
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Daniel Stjepanović
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Centaine L Snoswell
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Emma E Thomas
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Kylie Morphett
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Heewon Kang
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
- Seoul National University Institute of Health and Environment, Seoul, South Korea
| | - Gary Chan
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Etienne Grobler
- Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - Coral E Gartner
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Herston, Queensland, Australia
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Li Y, Gao L, Chao Y, Wang J, Qin T, Zhou X, Chen X, Hou L, Lu L. Effects of interventions on smoking cessation: A systematic review and network meta-analysis. Addict Biol 2024; 29:e13376. [PMID: 38488699 PMCID: PMC11061851 DOI: 10.1111/adb.13376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/17/2023] [Accepted: 01/16/2024] [Indexed: 03/19/2024]
Abstract
A network meta-analysis (NMA) including randomized controlled trials (RCTs) was conducted to evaluate the effects of different interventions on smoking cessation. Studies were collected from online databases including PubMed, EMBASE, Cochrane Library, and Web of Science based on inclusion and exclusion criteria. Eligible studies were further examined in the NMA to compare the effect of 14 interventions on smoking cessation. Thirty-four studies were examined in the NMA, including a total of 14 interventions and 28 733 participants. The results showed that health education (HE; odds ratio ([OR] = 200.29, 95% CI [1.62, 24 794.61])), other interventions (OI; OR = 29.79, 95% CI [1.07, 882.17]) and multimodal interventions (MUIs; OR = 100.16, 95% CI [2.06, 4867.24]) were better than self-help material (SHM). HE (OR = 243.31, 95% CI [1.39, 42531.33]), MUI (OR = 121.67, 95% CI [1.64, 9004.86]) and financial incentive (FI; OR = 14.09, 95% CI [1.21, 164.31]) had positive effects on smoking cessation rate than smoking cessation or quitting APP (QA). Ranking results showed that HE (83.6%) and motivation interviewing (MI; 69.6%) had better short-term effects on smoking cessation. HE and MUI provided more smoking cessation benefits than SHM and QA. FI was more effective at quitting smoking than QA. Also, HE and MI were more likely to be optimal smoking cessation interventions.
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Affiliation(s)
- Ying Li
- College of Sports ScienceJishou UniversityJishouChina
| | - Lei Gao
- School of NursingDalian UniversityDalianChina
| | - Yaqing Chao
- Ophthalmology DepartmentXuzhou First People's HospitalXuzhouChina
| | - Jianhua Wang
- College of NursingWeifang University of Science and TechnologyWeifangChina
| | - Tianci Qin
- College of Sports ScienceJishou UniversityJishouChina
| | | | - Xiaoan Chen
- College of Sports ScienceJishou UniversityJishouChina
| | - Lingyu Hou
- Nursing DepartmentPeking University Shenzhen HospitalShenzhenChina
| | - linlin Lu
- Nursing DepartmentPeking University Shenzhen HospitalShenzhenChina
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Sweileh WM. Technology-based interventions for tobacco smoking prevention and treatment: a 20-year bibliometric analysis (2003-2022). Subst Abuse Treat Prev Policy 2024; 19:13. [PMID: 38321493 PMCID: PMC10848402 DOI: 10.1186/s13011-024-00595-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 01/20/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Substance abuse, particularly tobacco smoking, is a significant global public health concern. Efforts have been made to reduce smoking prevalence and promote cessation, but challenges, such as nicotine addiction, marketing tactics by tobacco industry, and cultural acceptability hinder progress. Technology has emerged as a potential tool to address these challenges by providing innovative scalable interventions. The objective of the study was to analyze and map scientific literature on technology-based intervention for tobacco prevention and treatment. METHODS A bibliometric methodology was conducted. Scopus database was used to retrieve relevant research articles published between 2003 and 2022. The analysis included publication trends, key contributors, research hotspots, research themes, the most impactful articles, and emerging research topics. RESULTS A total of 639 articles were found, with a slow and fluctuating growth pattern observed after 2011. The Journal of Medical Internet Research was the most prominent journal in the field. The United States was the leading country in the field, followed up by the United Kingdom, and the Netherlands. Research hotspots included smoking cessation, randomized controlled trials, and technology-based methods such as internet, mHealth, smartphone apps, text messages, and social media. Four primary research themes were identified: development of smartphone applications, efficacy of text messaging interventions, acceptance and effectiveness of smartphone applications, and interventions targeting young adults and students using mobile phone and social media platforms. The top 10 cited articles demonstrated effectiveness of digital interventions in promoting smoking cessation rates and reducing relapse rates. Emerging research topics included the use of virtual reality interventions, interventions for specific populations through personalized tools, and technology-based interventions in non-Western countries. CONCLUSIONS The findings of the current study highlight the potential of technology to address the challenges associated with tobacco smoking. Further future research in this area is warranted to continue advancing the field and developing effective and evidence-based interventions to combat tobacco smoking.
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Affiliation(s)
- Waleed M Sweileh
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
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Micalizzi L, Mattingly DT, Hart JL, Jensen JK, Mahabee-Gittens EM, Garrison KA. Smartphone Apps Targeting Youth Tobacco Use Prevention and Cessation: An Assessment of Credibility and Quality. CURRENT ADDICTION REPORTS 2023; 10:649-663. [PMID: 38680515 PMCID: PMC11052596 DOI: 10.1007/s40429-023-00524-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/18/2023] [Indexed: 05/01/2024]
Abstract
Purpose of Review The goals of this study were to identify smartphone apps targeting youth tobacco use prevention and/or cessation discussed in the academic literature and/or available in the Apple App Store and to review and rate the credibility of the apps. We took a multiphase approach in a non-systematic review that involved conducting parallel literature and App Store searches, screening the returned literature and apps for inclusion, characterizing the studies and apps, and evaluating app quality using a standardized rating scale. Recent Findings The negative consequences of youth tobacco use initiation are profound and far-reaching. Half of the youth who use nicotine want to quit, but quit rates are low. The integration of smartphone apps shows promise in complementing and enhancing evidence-based youth tobacco prevention and treatment methods. Summary Consistent with prior reviews, we identified a disconnect between apps that are readily accessible and those that have an evidence base, and many popular apps received low quality scores. Findings suggest a need for better integration between evidence-based and popular, available apps targeting youth tobacco use.
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Affiliation(s)
- Lauren Micalizzi
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI 02912, USA
| | - Delvon T. Mattingly
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY 40536, USA
- Center for Health Equity Transformation, College of Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Joy L. Hart
- Department of Communication and Christina Lee Brown Environme Institute, University of Louisville, Louisville, KY 40292, USA
| | - Jessica King Jensen
- Rutgers Institute for Nicotine & Tobacco Studies, Rutgers Health, New Brunswick, NJ 08901, USA
- Department of Family Medicine & Community Health, Johnson Medical School,, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - E. Melinda Mahabee-Gittens
- Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
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Redmond BY, Salwa A, Bricker JB, Buckner JD, Garey L, Zvolensky MJ. Personalized feedback intervention for individuals with low distress tolerance who smoke cigarettes: A randomized controlled trial of a digital intervention. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 155:209163. [PMID: 37717664 DOI: 10.1016/j.josat.2023.209163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/24/2023] [Accepted: 09/11/2023] [Indexed: 09/19/2023]
Abstract
INTRODUCTION Cigarette smoking remains the leading preventable cause of death and disability in the United States and frequently co-occurs with anxiety and depressive symptoms. A novel and integrative, theory-driven approach to address the heterogeneity of mood-related symptoms associated with cigarette use is to focus on transdiagnostic processes, such as distress tolerance, that underpin both mood-related symptoms and smoking behavior. The current study sought to develop and examine the feasibility, acceptability, and initial efficacy of a digitally delivered integrated personalized feedback intervention (PFI) that addresses smoking-distress tolerance relations. METHODS Participants included 121 adults (71.1 % male; Mage = 29.33 years, SD = 7.52) who smoked cigarettes daily and reported low distress tolerance. The study randomized participants to the Active PFI (feedback on distress tolerance and smoking) or the Control PFI (feedback on smoking only). RESULTS Results indicated feasibility and acceptability demonstrated by the ability to retain participants through the 1-month follow-up (98.2 % retention rate) and positive feedback from participants, including satisfaction regarding the Active PFI. The Active PFI (vs. Control PFI) was also a statistically significant predictor of change in motivation and intention to quit smoking and willingness to use adaptive coping strategies from baseline to 1-month follow-up. CONCLUSIONS For individuals with low distress tolerance who smoke cigarettes, this study's findings suggest that the current intervention may be a first-step to aid in increasing motivation/intention to quit smoking and willingness to use adaptive coping strategies.
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Affiliation(s)
- Brooke Y Redmond
- Department of Psychology, University of Houston, Houston, TX, USA.
| | - Aniqua Salwa
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Jonathan B Bricker
- Fred Hutchinson Cancer Center, Division of Public Health Sciences, USA; University of Washington, Department of Psychology, USA
| | - Julia D Buckner
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
| | - Lorra Garey
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Michael J Zvolensky
- Department of Psychology, University of Houston, Houston, TX, USA; Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; HEALTH Institute, University of Houston, Houston, TX, USA
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Bricker JB, Westmaas JL, Ostroff JS, Mull KE, Sullivan BM, Santiago-Torres M. Efficacy of smartphone applications to help cancer patients quit smoking: Protocol of the Quit2Heal randomized controlled trial. Contemp Clin Trials 2023; 129:107180. [PMID: 37040817 PMCID: PMC10283347 DOI: 10.1016/j.cct.2023.107180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 04/13/2023]
Abstract
Cigarette smoking is highly prevalent among cancer patients in the United States (US), with up to half of cancer patients smoking at the time of their initial cancer diagnosis. However, evidence-based cessation programs are rarely implemented in oncology care, and smoking is not consistently treated in cancer treatment settings. Consequently, there is an urgent need for accessible and efficacious cessation treatments that are uniquely tailored to the needs of cancer patients. Here we describe the design and implementation of a randomized controlled trial (RCT) testing the efficacy of a smartphone app (Quit2Heal) versus a US Clinical Practice Guidelines-based app (QuitGuide) for smoking cessation among a planned sample of 422 cancer patients. Quit2Heal is designed to address cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting. Quit2Heal is based on the principles of Acceptance and Commitment Therapy, a behavioral therapy that teaches skills for accepting cravings to smoke without smoking, values-driven motivation to quit, and preventing relapse. The primary aim of the RCT is to determine whether Quit2Heal has significantly higher self-reported 30-day point prevalence abstinence at 12 months relative to QuitGuide. The trial will also determine whether Quit2Heal's effect on cessation is (1) mediated by improvements in cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting; and (2) moderated by baseline factors (e.g., cancer type, stage, time since diagnosis). If successful, Quit2Heal will offer a more efficacious, broadly scalable smoking cessation treatment that could be implemented alongside existing oncology care, thereby improving cancer outcomes.
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Affiliation(s)
- Jonathan B Bricker
- Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA; University of Washington, Department of Psychology, Seattle, WA, USA
| | | | - Jamie S Ostroff
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering, New York City, NY, USA
| | - Kristin E Mull
- Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Brianna M Sullivan
- Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA
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Thompson RG, Bollinger M, Mancino MJ, Hasin D, Han X, Bush KA, Kilts CD, James GA. Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial. Trials 2023; 24:255. [PMID: 37016394 PMCID: PMC10071730 DOI: 10.1186/s13063-023-07213-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 03/01/2023] [Indexed: 04/06/2023] Open
Abstract
BACKGROUND Opioids accounted for 75% of drug overdoses in the USA in 2020, with rural states particularly impacted by the opioid crisis. While medication-assisted treatment (MAT) with Suboxone remains one of the more efficacious treatments for opioid use disorder (OUD), approximately 40% of people receiving Suboxone for outpatient MAT for OUD (MOUD) relapse within the first 6 months of treatment. We developed the smartphone app-based intervention OptiMAT as an adjunctive intervention to improve MOUD outcomes. The aims of this study are to (1) evaluate the efficacy of adjunctive OptiMAT use in reducing opioid misuse among people receiving MOUD and (2) evaluate the role of specific OptiMAT features in reducing opioid misuse, including the use of GPS-driven just-in-time intervention. METHODS We will conduct a two-arm, single-blind, randomized controlled trial of adults receiving outpatient MOUD in the greater Little Rock AR area. Participants are English-speaking adults ages 18 or older recently enrolled in outpatient MOUD at one of our participating study clinics. Participants will be allocated via 1:1 randomized block design to (1) MOUD with adjunctive use of OptiMAT (MOUD+OptiMAT) or (2) MOUD without OptiMAT (MOUD-only). Our blinded research statistician will evaluate differences between the two groups in opioid misuse (as determined by quantitative urinalysis conducted by clinical lab staff blinded to group membership) during the 6-months following study enrolment. Secondary analyses will evaluate if OptiMAT-usage patterns within the MOUD+OptiMAT group predict opioid misuse or continued abstinence. DISCUSSION This study will test if adjunctive use of OptiMAT improve MOUD outcomes. Study findings could lead to expansion of OptiMAT into rural clinical settings, and the identification of OptiMAT features which best predict positive clinical outcome could lead to refinement of this and similar smartphone app-based interventions. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT05336188 , registered March 21, 2022.
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Affiliation(s)
- Ronald G Thompson
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mary Bollinger
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Michael J Mancino
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Deborah Hasin
- Department of Epidemiology, Columbia University, New York City, NY, USA
| | - Xiaotong Han
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Keith A Bush
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Clint D Kilts
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - G Andrew James
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Lin H, Liu Y, Zhang H, Zhu Z, Zhang X, Chang C. Assessment of a Text Message-Based Smoking Cessation Intervention for Adult Smokers in China: A Randomized Clinical Trial. JAMA Netw Open 2023; 6:e230301. [PMID: 36857056 PMCID: PMC9978944 DOI: 10.1001/jamanetworkopen.2023.0301] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
IMPORTANCE Successful smoking cessation strategies are an important part of reducing tobacco use. However, providing universal smoking cessation support can be a challenge for most countries because it requires sufficient resources. One way to expand access is to use mobile technologies to provide cessation support. OBJECTIVE To assess the efficacy of a behavior change theory-based smoking cessation intervention using personalized text messages. DESIGN, SETTING, AND PARTICIPANTS This study was a 2-arm double-blind randomized clinical trial conducted in 5 cities in China. Daily or weekly smokers 18 years or older were eligible for inclusion if they owned a mobile phone and used the WeChat social media app. A total of 722 participants were randomized to the intervention or control group between April 1 and July 27, 2021. INTERVENTIONS Intervention group participants received a personalized text message-based smoking cessation intervention that was based on the transtheoretical model and protection motivation theory and developed by this study's investigators. Control group participants received a nonpersonalized text message-based smoking cessation intervention developed by the US National Cancer Institute. Both groups received 1 to 2 text messages per day for 3 months through the app. MAIN OUTCOMES AND MEASURES The primary outcome was the biochemically verified 6-month sustained abstinence rate, defined as the self-report of no smoking of any cigarettes after the designated quit date, which was validated biochemically by an expired air carbon monoxide level of less than 6 ppm at each follow-up point. RESULTS A total of 722 participants (mean [SD] age, 41.5 [12.7] years; 716 men [99.2%]; all of Chinese ethnicity) were randomly assigned to the intervention group (360 participants) or the control group (362 participants). Biochemically verified continuous abstinence at 6 months was 6.9% in the intervention group and 3.0% in the control group (odds ratio [OR], 2.66; 95% CI, 1.21-5.83). Among smokers with low nicotine dependence, the intervention group had significantly better abstinence rates for most of the indicators after adjusting for covariates (eg, biochemically verified 24-hour point prevalence of abstinence at 1 month: adjusted OR, 2.15; 95% CI, 1.05-4.38). Among smokers with moderate and high nicotine dependence, only the biochemically verified 24-hour point prevalence of abstinence at 6 months was statistically significant (adjusted OR, 4.17; 95% CI, 1.34-3.00). The pattern was similar for quitting intention, and the personalized text message-based intervention was more effective for smokers who had strong quitting intention than for those who had weak quitting intention. CONCLUSIONS AND RELEVANCE In this study, the behavior change theory-based smoking cessation intervention using personalized text messages was more effective than an intervention using nonpersonalized text messages. The intervention was most effective among smokers with low nicotine dependence and strong quitting intention. This study's findings also provide further evidence regarding the potential benefits of mobile health interventions for other behaviors. TRIAL REGISTRATION Chinese Clinical Trial Registry Identifier: ChiCTR2100041942.
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Affiliation(s)
- Haoxiang Lin
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Yihua Liu
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Hao Zhang
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Zhengjie Zhu
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Xiaoyue Zhang
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Chun Chang
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
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Thompson RG, Bollinger M, Mancino MJ, Hasin D, Han X, Bush KA, Kilts CD, James GA. Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial. RESEARCH SQUARE 2023:rs.3.rs-2511936. [PMID: 36824884 PMCID: PMC9949224 DOI: 10.21203/rs.3.rs-2511936/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Background: Opioids accounted for 75% of drug overdoses in the United States in 2020, with rural states particularly impacted by the opioid crisis. While medication assisted treatment (MAT) with Suboxone remains one of the more efficacious treatments for opioid use disorder (OUD), approximately 40% of people receiving Suboxone for outpatient MAT for OUD (MOUD) relapse within the first 6 months of treatment. We developed the smartphone app-based intervention OptiMAT as an adjunctive intervention to improve MOUD outcomes. The aims of this study are to (1) evaluate the efficacy of adjunctive OptiMAT use in reducing opioid misuse among people receiving MOUD; and (2) evaluate the role of specific OpitMAT features in reducing opioid misuse, including the use of GPS-driven just-in-time intervention. Methods: We will conduct a two-arm, single-blind, randomized controlled trial of adults receiving outpatient MOUD in the greater Little Rock AR area. Participants are English-speaking adults ages 18 or older recently enrolled in outpatient MOUD at one of our participating study clinics. Participants will be allocated via 1:1 randomized block design to (1) MOUD with adjunctive use of OptiMAT (MOUD+OptiMAT) or (2) MOUD without OptiMAT (MOUD-only). Our blinded research statistician will evaluate differences between the two groups in opioid misuse (as determined by quantitative urinalysis conducted by clinical lab staff blinded to group membership) during the 6-months following study enrolment. Secondary analyses will evaluate if OptiMAT-usage patterns within the MOUD+OptiMAT group predict opioid misuse or continued abstinence. Discussion: This study will test if adjunctive use of OptiMAT improve MOUD outcomes. Study findings could lead to expansion of OptiMAT into rural clinical settings, and the identification of OptiMAT features which best predict positive clinical outcome could lead to refinement of this and similar smartphone appbased interventions. Trial registration: ClinicalTrials.gov identifier: NCT05336188, registered March 21, 2022, https://clinicaltrials.gov/ct2/show/NCT05336188.
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15
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Haug S, Boumparis N, Wenger A, Paz Castro R, Schaub MP. Mobile App-Based Coaching for Alcohol Prevention among Adolescents: Pre-Post Study on the Acceptance and Effectiveness of the Program "MobileCoach Alcohol". INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3263. [PMID: 36833958 PMCID: PMC9959683 DOI: 10.3390/ijerph20043263] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND At-risk alcohol use, particularly binge drinking, is widespread among adolescents and young adults in most Western countries. MobileCoach Alcohol is a mobile app-based program for alcohol prevention that provides individualized coaching using a conversational agent. The current study tested the acceptance, use, and evaluation of this newly developed program and explored its potential effectiveness. METHODS Longitudinal pre-post study among upper secondary and vocational school students in Switzerland. Within the MobileCoach Alcohol prevention program, a virtual coach motivated participants to deal with alcohol sensitively, and provided feedback on alcohol use and strategies to resist alcohol for a period of 10 weeks. Information was provided in weekly dialogs, within contests with other participants, and interactive challenges. By means of a follow-up survey after the end of the 10-week program, indicators of the use, acceptance, and effectiveness of the program were examined. RESULTS Between October 2020 and July 2022, the program was advertised in upper secondary and vocational schools. Recruiting schools and school classes was difficult due to the COVID-19 containment measures in place during this period. Nevertheless, the program could be implemented in 61 upper secondary and vocational school classes with a total of 954 participating students. Three out of four students who were present in the school classes participated in the MobileCoach Alcohol program and the associated study. Online follow up assessment at week 10 was completed by 272 program participants (28.4%). Based on program use and evaluations by the participants, the overall acceptance of the intervention was good. The proportion of students who engaged in binge drinking was significantly reduced from 32.7% at baseline to 24.3% at follow up. Furthermore, the longitudinal analyses revealed decreases in the maximum number of alcoholic drinks consumed on an occasion and the mean number of standard drinks per month, whereas self-efficacy to resist alcohol increased between baseline and follow up. CONCLUSIONS The mobile app-based MobileCoach Alcohol program proved to be an attractive intervention, in which the majority of students were interested when proactively recruited at school classes. It allows for individualized coaching in large groups of adolescents and young adults and is promising for reducing at-risk alcohol use.
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Affiliation(s)
- Severin Haug
- Swiss Research Institute for Public Health and Addiction, Zurich University, Konradstrasse 32, 8005 Zurich, Switzerland
| | - Nikolaos Boumparis
- Swiss Research Institute for Public Health and Addiction, Zurich University, Konradstrasse 32, 8005 Zurich, Switzerland
| | - Andreas Wenger
- Swiss Research Institute for Public Health and Addiction, Zurich University, Konradstrasse 32, 8005 Zurich, Switzerland
| | - Raquel Paz Castro
- Marie Meierhofer Childrens’s Institute, Pfingstweidstrasse 16, 8005 Zurich, Switzerland
| | - Michael Patrick Schaub
- Swiss Research Institute for Public Health and Addiction, Zurich University, Konradstrasse 32, 8005 Zurich, Switzerland
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16
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Liu L, Zhao Y, Li J, Zhang N, Lan Z, Liu X. Efficacy of digital therapeutics in smoking cessation: A systematic review and meta-analysis. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2023. [DOI: 10.1016/j.medntd.2023.100209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
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17
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Xie JH, Qiu YF, Zhu L, Hu Y, Chang X, Wang W, Zhang LM, Chen OY, Zhong X, Yu X, Zou Y, Zhong R. Evaluation of the smoking cessation effects of QuitAction, a smartphone WeChat platform. Tob Induc Dis 2023; 21:49. [PMID: 37057059 PMCID: PMC10088363 DOI: 10.18332/tid/161257] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/06/2023] [Accepted: 02/14/2023] [Indexed: 04/15/2023] Open
Abstract
INTRODUCTION Many smokers in China desire to quit, though the success rate among adults is low. This study evaluated the effects of QuitAction, a WeChat smoking cessation platform, summarized the intervention experience of the smoking cessation platform, identified aspects of the platform that necessitated improvement, and provided references for further optimization of the smoking cessation platform. METHODS This single-arm study was conducted in Hunan, China, from September 2020 to October 2021. Regular smokers, who were aged ≥15 years and willing to quit smoking using QuitAction, were recruited. An in-application questionnaire evaluated participants' baseline smoking status and intention to quit smoking. The QuitAction program included questionnaires regarding the participants' ongoing smoking cessation status at 24 hours, one week, one month and three months after quitting. The smoking cessation procedure was discontinued if the participant had no intention of continuing. The smoking cessation rate, influencing success factors, frequency of use satisfaction, and helpfulness of QuitAction were recorded. RESULTS A total of 303 participants registered and logged into the QuitAction program, including 59 with incomplete information and 64 with no intention of quitting. The study finally included 180 participants. The smoking cessation rate was 33.9% at 24 hours, 27.2% at one week, 26.1% at one month, and 25.0% at three months. QuitAction was reported as helpful by 94.9% of participants and 95.7% were satisfied with the program. Participants with a quitting difficulty score of 80-100 were less likely to quit smoking than participants with a difficulty score of 0-60 (OR=0.28; 95% CI: 0.10-0.78; p=0.015). Participants using the platform ≥5 times were more likely to quit smoking than those who used the platform <5 times (OR=3.59; 95% CI: 1.51-8.52; p=0.004). CONCLUSIONS The QuitAction platform provides smoking cessation services that can improve smokers' success rate and improve user experience satisfaction.
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Affiliation(s)
- Jianghua H. Xie
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
- School of Nursing, Hunan University of Chinese Medicine, China
- Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, China
| | - Yanfang F. Qiu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Lei Zhu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
- School of Nursing, Hunan University of Chinese Medicine, China
| | - Yina Hu
- School of Nursing and Health Management, Wuhan Donghu University, Wuhan, China
| | - Xiaochang Chang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Wei Wang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Lemeng M. Zhang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Ouying Y. Chen
- School of Nursing, Hunan University of Chinese Medicine, China
| | - Xianmin Zhong
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Xinhua Yu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Yanhui Zou
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Rui Zhong
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
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18
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Non-Pharmacologic Approaches to Tobacco Cessation. Respir Med 2023. [DOI: 10.1007/978-3-031-24914-3_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
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19
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Lang AE, MacMurdo M, Upson D. Increasing Access to Treatment for Nicotine Dependence. Respir Med 2023. [DOI: 10.1007/978-3-031-24914-3_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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20
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Bundogji N, Toma G, Khan A. Identification of preferred reminder systems and patient factors to promote adherence in the management of urinary incontinence. PEC INNOVATION 2022; 1:100067. [PMID: 37213766 PMCID: PMC10194242 DOI: 10.1016/j.pecinn.2022.100067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 07/16/2022] [Accepted: 07/16/2022] [Indexed: 05/23/2023]
Abstract
Objective To investigate comfort level and preferences of automated reminder systems (mail, email, text message, phone call, patient-portal message, and/or smartphone application) to promote adherence to recommended therapies for patients seeking care for urinary incontinence (UI) at our urology clinic in Phoenix, Arizona. Methods Anonymous surveys were distributed in English to adult patients with UI from 4/2019-5/2019. Patient demographics, UI type, and access to and use of the Internet, smartphone and patient-portal were assessed. Using a Likert scale, patients indicated level of comfort with each reminder system and numerically ranked each system. Statistical analyses were performed to identify patient characteristics associated with reminder modality and determine significance in ranking of systems. Results Fifty-seven patients (67.3 ± 16.3 years) completed the survey with an 87% response rate. Text-message and phone call reminder modalities were ranked the highest compared to other modalities (p < 0.05). A Chi-squared test showed no correlation between preferred reminder system modality and type of incontinence, age, gender, race/ethnicity, or language spoken (p > 0.05). Internet usage and access significantly correlated with preference for smartphone application and patient-portal message reminder systems (p < 0.05). Conclusion Patients reported they were extremely comfortable with all communication modalities, except for smartphone applications in which patients were the least comfortable. The modalities most preferred by patients were phone call and text message and least preferred were patient portal and smart phone application. In conclusion, phone calls and text messages were the most preferred communication modality, with smart phone applications as the least comfortable. Innovation This study demonstrates the potential utility of specific reminder modalities for patients seeking help with treatment adherence.
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Affiliation(s)
- Nour Bundogji
- College of Medicine, University of Arizona College of Medicine Phoenix, Phoenix, AZ, USA
- Corresponding author at: 475 N 5 St., Phoenix, AZ 85004, USA.
| | - Gina Toma
- Department of Urology, The Mayo Clinic in Scottsdale, Scottsdale, AZ, USA
| | - Aqsa Khan
- Department of Urology, The Mayo Clinic in Scottsdale, Scottsdale, AZ, USA
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Villanti AC, Peasley-Miklus C, Cha S, Schulz J, Klemperer EM, LePine SE, West JC, Mays D, Mermelstein R, Higgins ST, Graham AL. Tailored text message and web intervention for smoking cessation in U.S. socioeconomically-disadvantaged young adults: A randomized controlled trial. Prev Med 2022; 165:107209. [PMID: 35995105 PMCID: PMC10186588 DOI: 10.1016/j.ypmed.2022.107209] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/29/2022] [Accepted: 08/14/2022] [Indexed: 02/03/2023]
Abstract
The prevalence of cigarette smoking in young adults is higher among those with socioeconomic disadvantage than those without. Low treatment-seeking among young adult smokers is compounded by few efficacious smoking cessation interventions for this group, particularly socioeconomically-disadvantaged young adults (SDYA) who smoke cigarettes. The goal of this study was to test a tailored smoking-cessation intervention for SDYA. 343 SDYA aged 18-30 living in the U.S. (85% female) who smoke cigarettes with access to a smartphone and interest in quitting smoking in the next six months were recruited online in Spring 2020 and randomized to referral to online quit resources (usual care control; n = 171) or a 12-week tailored text message smoking-cessation program with a companion web-based intervention (n = 172). Intent to treat analyses examined associations between study condition, self-reported 30-day point prevalence abstinence (PPA), and confidence to quit smoking at 12 weeks, controlling for potential confounders. Intervention group participants had greater self-reported 30-day PPA at 12-weeks than controls (adjusted relative risk 3.93, 95% CI 2.14-7.24). Among those who continued smoking, the intervention increased confidence to quit (0.81 points, 95% confidence interval 0.08-1.53). Weekly engagement in the intervention predicted greater cessation. A tailored text message intervention for SDYA increased smoking abstinence and confidence to quit at the end-of-treatment. Findings may have been influenced by recruitment at the start of the COVID pandemic but suggest that text messaging is an acceptable and efficacious cessation strategy for SDYA smokers. Future studies should examine the impact on longer-term smoking-cessation and importance of intervention tailoring for SDYA.
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Affiliation(s)
- Andrea C Villanti
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States.
| | - Catherine Peasley-Miklus
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States
| | - Sarah Cha
- Innovations Center, Truth Initiative, United States
| | - Jonathan Schulz
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States
| | - Elias M Klemperer
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States
| | - S Elisha LePine
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States
| | - Julia C West
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States; Department of Psychological Science, University of Vermont, United States
| | - Darren Mays
- Center for Tobacco Research, The Ohio State University James Comprehensive Cancer Center, Department of Internal Medicine, The Ohio State University, United States
| | - Robin Mermelstein
- Department of Psychology and Institute for Health Research and Policy, University of Illinois at Chicago, United States
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, United States; Department of Psychological Science, University of Vermont, United States
| | - Amanda L Graham
- Innovations Center, Truth Initiative, United States; Department of Medicine, Mayo Clinic College of Medicine and Science, United States; Department of Oncology, Georgetown University Medical Center/Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, United States
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22
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He L, Basar E, Wiers RW, Antheunis ML, Krahmer E. Can chatbots help to motivate smoking cessation? A study on the effectiveness of motivational interviewing on engagement and therapeutic alliance. BMC Public Health 2022; 22:726. [PMID: 35413887 PMCID: PMC9003955 DOI: 10.1186/s12889-022-13115-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/25/2022] [Indexed: 12/30/2022] Open
Abstract
Background Cigarette smoking poses a major threat to public health. While cessation support provided by healthcare professionals is effective, its use remains low. Chatbots have the potential to serve as a useful addition. The objective of this study is to explore the possibility of using a motivational interviewing style chatbot to enhance engagement, therapeutic alliance, and perceived empathy in the context of smoking cessation. Methods A preregistered web-based experiment was conducted in which smokers (n = 153) were randomly assigned to either the motivational interviewing (MI)-style chatbot condition (n = 78) or the neutral chatbot condition (n = 75) and interacted with the chatbot in two sessions. In the assessment session, typical intake questions in smoking cessation interventions were administered by the chatbot, such as smoking history, nicotine dependence level, and intention to quit. In the feedback session, the chatbot provided personalized normative feedback and discussed with participants potential reasons to quit. Engagement with the chatbot, therapeutic alliance, and perceived empathy were the primary outcomes and were assessed after both sessions. Secondary outcomes were motivation to quit and perceived communication competence and were assessed after the two sessions. Results No significant effects of the experimental manipulation (MI-style or neutral chatbot) were found on engagement, therapeutic alliance, or perceived empathy. A significant increase in therapeutic alliance over two sessions emerged in both conditions, with participants reporting significantly increased motivation to quit. The chatbot was perceived as highly competent, and communication competence was positively associated with engagement, therapeutic alliance, and perceived empathy. Conclusion The results of this preregistered study suggest that talking with a chatbot about smoking cessation can help to motivate smokers to quit and that the effect of conversation has the potential to build up over time. We did not find support for an extra motivating effect of the MI-style chatbot, for which we discuss possible reasons. These findings highlight the promise of using chatbots to motivate smoking cessation. Implications for future research are discussed.
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Affiliation(s)
- Linwei He
- Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, the Netherlands.
| | - Erkan Basar
- Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Reinout W Wiers
- Addiction Development and Psychopathology (ADAPT)-Lab, Department of Psychology, and Centre for Urban Mental Health, University of Amsterdam, Amsterdam, the Netherlands
| | - Marjolijn L Antheunis
- Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, the Netherlands
| | - Emiel Krahmer
- Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, the Netherlands
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Benson L, Ra CK, Hébert ET, Kendzor DE, Oliver JA, Frank-Pearce SG, Neil JM, Businelle MS. Quit Stage and Intervention Type Differences in the Momentary Within-Person Association Between Negative Affect and Smoking Urges. Front Digit Health 2022; 4:864003. [PMID: 35425934 PMCID: PMC9001839 DOI: 10.3389/fdgth.2022.864003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Smoking urges and negative affect play important roles in daily cigarette smoking and smoking lapse during a cessation attempt. Traditionally, laboratory research has considered negative affect as a potential cause of smoking urges. A deeper understanding of momentary associations between negative affect and smoking urges during a smoking cessation attempt can inform treatment development efforts. This study examined whether the within-person association between negative affect and smoking urges differed before and after a quit attempt, and by intervention type. Methods Data are from a pilot randomized controlled trial comparing 3 smoking cessation interventions. Participants were randomly assigned to: (1) a novel, smartphone-based just-in-time adaptive intervention that tailored treatment content in real-time (Smart-T2; n = 24), (2) the National Cancer Institute QuitGuide app (n = 25), or (3) a clinic-based tobacco cessation program (TTRP; n = 23) that followed Clinical Practice Guidelines. All participants received up to 12 weeks of nicotine replacement therapy and completed up to 5 assessments per day (M PreQuit = 25.8 assessments, SD = 6.0; M PostQuit = 107.7 assessments, SD = 37.1) of their negative affect and smoking urges during the 7 days (M = 6.6 days, SD = 1.0) prior to their quit-date and the 29 days (M = 25.8 days, SD = 6.4) after their quit-date. Prior to analysis, repeated measures of smoking urges were decomposed into between-person and within-person components. Results After accounting for baseline nicotine dependence, Bayesian multilevel models indicated that the extent of within-person association between negative affect and smoking urges was stronger in the post-quit stage of the intervention than the pre-quit stage. Results also indicated that in the post-quit stage of the intervention, the within-person association between negative affect and smoking urges was weaker for those in the Smart-T2 and TTRP groups compared with those in the QuitGuide group. The extent of this within-person association did not differ between those in the Smart-T2 and TTRP groups. Conclusions These findings offer preliminary evidence that the momentary within-person association between negative affect and smoking urges increases following a quit attempt, and that the TTRP and Smart-T2 interventions may weaken this association. Research is needed to replicate and expand upon current findings in a fully powered randomized controlled trial. Clinical Trial Registration ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.
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Affiliation(s)
- Lizbeth Benson
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chaelin K. Ra
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, UT Health School of Public Health, Austin, TX, United States
| | - Darla E. Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jason A. Oliver
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Summer G. Frank-Pearce
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jordan M. Neil
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael S. Businelle
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Sanchez S, Kundu A, Limanto E, Selby P, Baskerville NB, Chaiton M. Smartphone Apps for Vaping Cessation: Quality Assessment and Content Analysis. JMIR Mhealth Uhealth 2022; 10:e31309. [PMID: 35343904 PMCID: PMC9002586 DOI: 10.2196/31309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 10/08/2021] [Accepted: 01/07/2022] [Indexed: 11/16/2022] Open
Abstract
Background As the prevalence of electronic cigarette (e-cigarette) use, or vaping, continues to grow, particularly among young people, so does the need for research and interventions to address vaping. Objective This study examines the quality of free vaping cessation apps, their contents and features, popularity among users, and adherence to evidence-based principles. Methods A systematic search of existing apps for vaping cessation was conducted in December 2020. Eligible apps were free, in English, and included features specifically targeting vaping cessation. Each app included in the analysis was used daily for at least seven consecutive days, assessed using the Mobile App Rating Scale, and rated by at least two authors (AK, EL, or SS) based on adherence to evidence-based practices. Intraclass correlation coefficient (ICC) estimates were computed to assess interrater reliability (excellent agreement; ICC 0.92; 95% CI 0.78-0.98). Results A total of 8 apps were included in the quality assessment and content analysis: 3 were developed specifically for vaping cessation and 5 focused on smoking cessation while also claiming to address vaping cessation. The mean of app quality total scores was 3.66 out of 5. Existing vaping cessation apps employ similar approaches to smoking cessation apps. However, they are very low in number and have limited features developed specifically for vaping cessation. Conclusions Given the lack of vaping cessation interventions at a time when they are urgently needed, smartphone apps are potentially valuable tools. Therefore, it is recommended that these apps apply evidence-based practices and undergo rigorous evaluations that can assess their quality, contents and features, and popularity among users. Through this process, we can improve our understanding of how apps can be effective in helping users quit vaping.
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Affiliation(s)
- Sherald Sanchez
- Institute of Medical Science, Termerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Ontario Tobacco Research Unit, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Anasua Kundu
- Ontario Tobacco Research Unit, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Limanto
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Peter Selby
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Michael Chaiton
- Institute of Medical Science, Termerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Ontario Tobacco Research Unit, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada
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25
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do Amaral LM, Ronzani TM, Cruvinel E, Richter K, Oliveira Andrade RD, Lanzieri IO, de Macêdo ÂCDAD, Leite ICG. Text messaging interventions to support smoking cessation among hospitalized patients in Brazil: a randomized comparative effectiveness clinical trial. BMC Res Notes 2022; 15:119. [PMID: 35346351 PMCID: PMC8962029 DOI: 10.1186/s13104-022-06002-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 03/14/2022] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVE A clinical trial carried out in patients hospitalized for clinical and surgical conditions. This study evaluated the effectiveness of text messaging interventions (TM) versus telephone counseling (TC) to promote smoking cessation among hospitalized smokers in a middle-income country. Seven-day abstinence was measured during follow-up phone calls one month after discharge. The comparative cost of the two interventions considered the cost of calls, time spent on phone calls and sending SMS and cost of the professional involved in the approaches. RESULTS Past 7-day tobacco abstinence was not statistically different between groups (30.5% in TM group and 26% in TC, p = 0.318). Costs were significantly lower in the TM group (U$9.28 × U$19.45- p < 0,001). Continuous abstinence was reported by 26% of TM participants and 24.5% of TC participants (p = 0.730). In the 3-month follow-up, 7-day abstinence was 23% in the TMI and 27% in the TC (p = 0.356) group. Continuous abstinence was reported by 20% of TM participants and 24% of TC participants (p = 0.334). TRIAL REGISTRATION ClinicalTrials.gov ID: NCT03237949 Registred on: 30th May 2017.
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Affiliation(s)
- Lígia Menezes do Amaral
- Clinical Medicine Department, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil
| | - Telmo Mota Ronzani
- Department of Psychology, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil
| | - Erica Cruvinel
- Population Health Department, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kimber Richter
- Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS, USA
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Rudolphi J, Campo S, Janssen B, Ramirez M, Wang K, Rohlman D. A Test of Social Cognitive Theory to Increase Hearing Protection Use in Swine Buildings. J Agric Saf Health 2022; 28:215-228. [PMID: 38077618 PMCID: PMC10703054 DOI: 10.13031/jash.15183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
Farming ranks among the top occupations for which workers are at risk for noise-induced hearing loss (NIHL), an irreversible yet preventable condition. Hearing Protection Devices (HPDs) (i.e., earmuffs and ear plugs) are effective at preventing expo- sure to noise; however, few farmers report consistent use. The purpose of this study was to test an intervention based on Social Cognitive Theory with interactive smartphone technology to increase the use of HPDs among swine facility workers. A pilot, quasi-experimental study was implemented among 72 younger adult swine workers. Participants were randomly assigned to one of three groups. Group 1 received HPDs (e.g., earmuffs and ear plugs). Group 2 received the same HPDs as Group 1 and was also instructed to use a smartphone application to track their use of hearing protection for 60 days. Group 3 received the HPDs and instructions on using a smartphone app for tracking the use of hearing protection and setting daily goals for hearing protection use. Use of hearing protection was assessed via an online survey prior to the intervention (i.e., "baseline"), immediately after the post-intervention, and at a 3-month follow-up. Compared to baseline use, all three groups reported increased use of hearing protection immediately post-intervention. However, this increase was not maintained at a 3-month follow-up for two of the study groups. Group 3 (HPD, tracking, and goal-setting app) showed the greatest increase in the use of HPDs from baseline to immediate post-intervention; however, Group 1 (HPD only) showed the greatest sustained increase from baseline to the 3-month follow-up. Modifying the environment by supplying HPDs was effective in increasing HPD use among swine facility workers. Improving access to hearing protection devices alone may lead to sustained changes in behavior.
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Affiliation(s)
- Josie Rudolphi
- Agricultural and Biological Engineering, University of Illinois, Urbana, USA
- University of Iowa, Iowa City, USA
| | | | - Brandi Janssen
- Occupational and Environmental Health, University of Iowa, Iowa City, USA
| | - Marizen Ramirez
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, USA
| | - Kai Wang
- Biostatistics, University of Iowa, Iowa City, USA
| | - Diane Rohlman
- Occupational and Environmental Health, University of Iowa, Iowa City, USA
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Tofighi B, Durr M, Marini C, Lewis CF, Lee JD. A Mixed-Methods Evaluation of the Feasibility of a Medical Management-Based Text Messaging Intervention Combined With Buprenorphine in Primary Care. Subst Abuse 2022; 16:11782218221078253. [PMID: 35356483 PMCID: PMC8958716 DOI: 10.1177/11782218221078253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 01/17/2022] [Indexed: 11/15/2022]
Abstract
Background: Mobile health (mHealth) tools offer an effective and personalized approach to enhance chronic disease management and may partially offset provider-level barriers to increasing buprenorphine prescribing in primary care. This study assessed the feasibility of integrating a text messaging-based medical management tool (TeMeS) in primary care among patients initiating buprenorphine. Methods: TeMeS messages are categorized per the medical management model, programed in a HIPAA-compliant texting software (Apptoto©), and delivered in a tiered fashion over 8-weeks to patients. This mixed-methods evaluation of TeMeS utilized key stakeholder feedback (patients, physicians, administrators, nursing), text messaging software process measures, thematic analysis of patient participant text message content, and electronic administrative data (eg, appointment adherence, treatment retention) at 2-months. Results: The study team approached 65 patients and n = 14 (21%) were ineligible or declined to participate in the study. Most eligible participants owned a smartphone (90%), responded to at least one text query (88%) over an average of 24 days, and few requested to stop receiving texts (6%). Participant text replies included responses to cognitive behavioral therapy-based queries (13.8%), confirming or rescheduling appointments (6.1%), and insurance, pharmacy, or clinical issues pertaining to buprenorphine dispensation or dosing (2%). Suggestions for design modifications included personalizing message content and adjusting message frequency per patient risk of illicit opioid reuse, use of video-based informational content, and real-time provider and staff support for emergent issues. Conclusion: Our findings highlight the acceptability, feasibility, and high rates of engagement of utilizing text messaging to enhance self-management among patients initiating buprenorphine treatment.
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Affiliation(s)
- Babak Tofighi
- Nathan S. Kline Institute for Psychiatric Research, Division of Social Solutions and Services Research, Center for Research on Cultural & Structural Equity in Behavioral Health, New York, NY, USA
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Center for Drug Use and HIV Research, NYU College of Global Public Health, New York, NY, USA
- Babak Tofighi, Department of Population Health, New York University School of Medicine, 180 Madison Avenue, Room 17-13, New York, NY 10016, USA.
| | - Meghan Durr
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Christina Marini
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Crystal F Lewis
- Nathan S. Kline Institute for Psychiatric Research, Division of Social Solutions and Services Research, Center for Research on Cultural & Structural Equity in Behavioral Health, New York, NY, USA
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Joshua D Lee
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Center for Drug Use and HIV Research, NYU College of Global Public Health, New York, NY, USA
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Barroso-Hurtado M, Suárez-Castro D, Martínez-Vispo C, Becoña E, López-Durán A. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:11664. [PMID: 34770178 PMCID: PMC8583115 DOI: 10.3390/ijerph182111664] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 11/02/2021] [Accepted: 11/04/2021] [Indexed: 11/16/2022]
Abstract
Smoking cessation interventions are effective, but they are not easily accessible for all treatment-seeking smokers. Mobile health (mHealth) apps have been used in recent years to overcome some of these limitations. Smoking cessation apps can be used in combination with a face-to-face intervention (FFSC-Apps), or alone as general apps (GSC-Apps). The aims of this review were (1) to examine the effects of FFSC-Apps and GSC-Apps on abstinence, tobacco use, and relapse rates; and (2) to describe their features. A systematic review was conducted following the internationally Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Of the total 6016 studies screened, 24 were included, of which nine used GSC-Apps and 15 FFSC-Apps. Eight studies reported significant differences between conditions in smoking cessation outcomes, with three of them being in favor of the use of apps, and two between different point-assessments. Concerning Apps features, most GSC-Apps included self-tracking and setting a quit plan, whereas most of the FFSC-Apps included self-tracking and carbon monoxide (CO) measures. Smartphone apps for smoking cessation could be promising tools. However, more research with an adequate methodological quality is needed to determine its effect. Nevertheless, smartphone apps' high availability and attractiveness represent a great opportunity to reach large populations.
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Affiliation(s)
- María Barroso-Hurtado
- Smoking and Addictive Disorders Unit, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (D.S.-C.); (C.M.-V.); (E.B.); (A.L.-D.)
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Daniel Suárez-Castro
- Smoking and Addictive Disorders Unit, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (D.S.-C.); (C.M.-V.); (E.B.); (A.L.-D.)
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Carmela Martínez-Vispo
- Smoking and Addictive Disorders Unit, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (D.S.-C.); (C.M.-V.); (E.B.); (A.L.-D.)
| | - Elisardo Becoña
- Smoking and Addictive Disorders Unit, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (D.S.-C.); (C.M.-V.); (E.B.); (A.L.-D.)
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Ana López-Durán
- Smoking and Addictive Disorders Unit, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (D.S.-C.); (C.M.-V.); (E.B.); (A.L.-D.)
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
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Jiang N, Nguyen N, Siman N, Cleland CM, Nguyen T, Doan HT, Abroms LC, Shelley DR. Adaptation and Assessment of a Text Messaging Smoking Cessation Intervention in Vietnam: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth 2021; 9:e27478. [PMID: 34623318 PMCID: PMC8538032 DOI: 10.2196/27478] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 05/03/2021] [Accepted: 09/03/2021] [Indexed: 01/20/2023] Open
Abstract
Background Text message (ie, short message service, SMS) smoking cessation interventions have demonstrated efficacy in high-income countries but are less well studied in low- and middle-income countries, including Vietnam. Objective The goal of the research is to assess the feasibility, acceptability, and preliminary efficacy of a fully automated bidirectional SMS cessation intervention adapted for Vietnamese smokers. Methods The study was conducted in 3 phases. In phase 1, we adapted the SMS library from US-based SMS cessation programs (ie, SmokefreeTXT and Text2Quit). The adaptation process consisted of 7 focus groups with 58 smokers to provide data on culturally relevant patterns of tobacco use and assess message preferences. In phase 2, we conducted a single-arm pilot test of the SMS intervention with 40 smokers followed by in-depth interviews with 10 participants to inform additional changes to the SMS library. In phase 3, we conducted a 2-arm pilot randomized controlled trial (RCT) with 100 smokers. Participants received either the SMS program (intervention; n=50) or weekly text assessment on smoking status (control; n=50). The 6-week SMS program consisted of a 2-week prequit period and a 4-week postquit period. Participants received 2 to 4 automated messages per day. The main outcomes were engagement and acceptability which were assessed at 6 weeks (end of intervention). We assessed biochemically confirmed smoking abstinence at 6 weeks and 12 weeks. Postintervention in-depth interviews explored user experiences among a random sample of 16 participants in the intervention arm. Results Participants in both arms reported high levels of engagement and acceptability. Participants reported using the program for an average of 36.4 (SD 3.4) days for the intervention arm and 36.0 (SD 3.9) days for the control arm. Four of the 50 participants in the intervention arm (8%) reset the quit date and 19 (38%) texted the keyword TIPS. The majority of participants in both arms reported that they always or usually read the text messages. Compared to the control arm, a higher proportion of participants in the intervention arm reported being satisfied with the program (98% [49/50] vs 82% [41/50]). Biochemically verified abstinence was higher in the intervention arm at 6 weeks (20% [10/50] vs 2% [1/50]; P=.01), but the effect was not significant at 12 weeks (12% [6/50] vs 6% [3/50]; P=.49). In-depth interviews conducted after the RCT suggested additional modifications to enhance the program including tailoring the timing of messages, adding more opportunities to interact with the program, and placing a greater emphasis on messages that described the harms of smoking. Conclusions The study supported the feasibility and acceptability of an SMS program adapted for Vietnamese smokers. Future studies need to assess whether, with additional modifications, the program is associated with prolonged abstinence. Trial Registration ClinicalTrials.gov NCT03219541; https://clinicaltrials.gov/ct2/show/NCT03219541
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Affiliation(s)
- Nan Jiang
- Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Nam Nguyen
- Institute of Social and Medical Studies, Hanoi, Vietnam
| | - Nina Siman
- Ronald O Perelman Department of Emergency Medicine, Grossman School of Medicine, New York University, New York, NY, United States
| | - Charles M Cleland
- Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Trang Nguyen
- Institute of Social and Medical Studies, Hanoi, Vietnam
| | - Hue Thi Doan
- Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam
| | - Lorien C Abroms
- Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Donna R Shelley
- School of Global Public Health, New York University, New York, NY, United States
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Bendotti H, Lawler S, Ireland D, Gartner C, Hides L, Marshall H. What do people want in a smoking cessation app? An analysis of user reviews and app quality. Nicotine Tob Res 2021; 24:169-177. [PMID: 34460922 DOI: 10.1093/ntr/ntab174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/27/2021] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Mobile smoking cessation (mCessation) apps have the potential to complement and enhance existing interventions, but many are of low quality. Exploring app reviews can provide a broader understanding of user experiences and engagement, to enhance the quality, acceptability and effectiveness of future developments. METHODS Publicly available user reviews and ratings of smoking cessation apps were mined from Google Play TM and the App Store ® via a targeted two-stage search strategy. English language smoking cessation apps with at least 20 consumer reviews between 2011 and 2020 were included. User reviews were thematically analysed using Braun & Clarke's framework. Apps were independently scored using the Mobile Apps Rating Scale (MARS) and compared to average user star ratings. RESULTS Forty-eight versions of 42 apps, encompassing 1,414 associated reviews, met eligibility criteria. Inductive coding of reviews produced 1,084 coding references including reviews coded across multiple nodes. Themes generated included: (1) supportive characteristics/tools; (2) useability; (3) influence on smoking behaviour; (4) benefits of quitting; and (5) role as a supplementary tool for quitting. The mean MARS score of 36 free and accessible apps was 3.10 (SD 0.71) with mean scores ranging from 2.00 to 4.47. An inverse relationship between MARS scores and average user star ratings was observed . CONCLUSIONS App personalisation, relationality, functionality and credibility were important to users, and should be considered as key design components for future apps. Differences between user star ratings and MARS scores may illustrate competing priorities of consumers and researchers, and the importance of a co-design development method. IMPLICATIONS This is the first study to use unsolicited user reviews from a large population to understand the general mCessation user experience in relation to making a quit attempt. Our findings highlight specific features favoured and disliked by users, including their influence on engagement, and supports previous findings that mCessation applications need to be highly tailorable, functional, credible and supportive. We recommend a consumer-driven, co-design approach for future mCessation app developments to optimise user acceptability and engagement.
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Affiliation(s)
- Hollie Bendotti
- Thoracic Research Centre, The University of Queensland, Chermside, Queensland, Australia
| | - Sheleigh Lawler
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - David Ireland
- The Australian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Queensland, Australia
| | - Coral Gartner
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Leanne Hides
- School of Psychology, The University of Queensland, St Lucia, Queensland, Australia
| | - Henry Marshall
- Thoracic Research Centre, The University of Queensland, Chermside, Queensland, Australia.,Department of Thoracic Medicine, The Prince Charles Hospital, Queensland Health
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The effect of a mobile application on treatment adherence and symptom management in patients using oral anticancer agents: A randomized controlled trial. Eur J Oncol Nurs 2021; 52:101969. [PMID: 33991868 DOI: 10.1016/j.ejon.2021.101969] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/23/2021] [Accepted: 04/18/2021] [Indexed: 11/23/2022]
Abstract
PURPOSE The use of mobile health technologies in the management of oral anticancer agents (OAA) can be beneficial in terms of treatment adherence and symptom management. This study was conducted to investigate the effect of a mobile application developed for patients using OAA on treatment adherence and symptom management. METHOD The study was conducted using a randomized controlled trial design, and it was carried out on 77 patients. Data were collected from the Oral Chemotherapy Adherence Scale (OCAS), and the Memorial Symptom Assessment Scale (MSAS). Data were collected at the beginning of the research, and face-to-face interviews were conducted after one, three, and six months. Patients in the intervention group were followed up for six months using the mobile application. RESULTS It was found that there was no difference between the intervention and control groups in the baseline OCAS mean scores (p > 0.05), and the mean score of the intervention group increased over the first, third- and sixth-month measurements (p < 0.05). It was found that there was no difference between the intervention and control groups in the MSAS mean scores (p > .05), and there was a decrease in the mean MSAS score of the intervention group between the third- and sixth-month follow-up (p < .05). CONCLUSION The present study results showed that the mobile application is effective in managing symptoms and increasing treatment adherence. A well-designed mobile health application that increases treatment adherence, decreases symptom severity, and supports patients' self-management could be beneficial for patients using OAA. CLINICALTRIALS. GOV IDENTIFIER NCT04626830.
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Prutzman YM, Wiseman KP, Grady MA, Budenz A, Grenen EG, Vercammen LK, Keefe BP, Bloch MH. Using Digital Technologies to Reach Tobacco Users Who Want to Quit: Evidence From the National Cancer Institute's Smokefree.gov Initiative. Am J Prev Med 2021; 60:S172-S184. [PMID: 33663705 DOI: 10.1016/j.amepre.2020.08.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/31/2020] [Accepted: 08/17/2020] [Indexed: 12/21/2022]
Abstract
The rapid growth of smartphone ownership and broadband access has created new opportunities to reach smokers with cessation information and support using digital technologies. These technologies can both complement and be integrated with traditional support modalities such as telephone quitlines and 1-on-1 clinical cessation counseling. The National Cancer Institute's Smokefree.gov Initiative provides free, evidence-based cessation support to the public through a multimodal suite of digital interventions, including several mobile-optimized websites, text messaging programs, and 2 mobile applications. In addition to digital resources directed at the general population, the Smokefree.gov Initiative includes population-specific resources targeted to adolescents, women, military veterans, Spanish speakers, older adults, and other populations. This paper describes the reach and use of the Smokefree.gov Initiative's resources over a 5-year period between 2014 and 2018, including how users interact with the program's digital content in ways that facilitate engagement with live counseling support. Use of Smokefree.gov Initiative resources has grown steadily over time; in 2018 alone, approximately 7-8 million people accessed Smokefree.gov Initiative web- and mobile-based resources. Smokefree.gov Initiative utilization data show that people take advantage of the full range of technology tools and options offered as part of the Smokefree.gov Initiative's multiplatform intervention. The Smokefree.gov Initiative experience suggests that offering different, complementary technology options to meet the needs and preferences of smokers has the potential to meaningfully expand the reach of cessation treatment.
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Affiliation(s)
- Yvonne M Prutzman
- Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
| | - Kara P Wiseman
- Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland; Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Meredith A Grady
- Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Alexandra Budenz
- Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | | | | | | | - Michele H Bloch
- Tobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
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Herbec A, Shahab L, Brown J, Ubhi HK, Beard E, Matei A, West R. Does addition of craving management tools in a stop smoking app improve quit rates among adult smokers? Results from BupaQuit pragmatic pilot randomised controlled trial. Digit Health 2021; 7:20552076211058935. [PMID: 34868620 PMCID: PMC8637712 DOI: 10.1177/20552076211058935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 10/22/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES Delivery of craving management tools via smartphone applications (apps) may improve smoking cessation rates, but research on such programmes remains limited, especially in real-world settings. This study evaluated the effectiveness of adding craving management tools in a cessation app (BupaQuit). METHODS The study was a two-arm pragmatic pilot parallel randomised controlled trial, comparing a fully-automated BupaQuit app with craving management tool with a control app version without craving management tool. A total of 425 adult UK-based daily smokers were enrolled through open online recruitment (February 2015-March 2016), with no researcher involvement, and individually randomised within the app to the intervention (n = 208) or control (n = 217). The primary outcome was self-reported 14-day continuous abstinence assessed at 4-week follow-up. Secondary outcomes included 6-month point-prevalence and sustained abstinence, and app usage. The primary outcome was assessed with Fisher's exact test using intent to treat with those lost to follow-up counted as smoking. Participants were not reimbursed. RESULTS Re-contact rates were 50.4% at 4 weeks and 40.2% at 6 months. There was no significant difference between intervention and control arms on the primary outcome (13.5% vs 15.7%; p = 0.58; relative risk = 0.86, 95% confidence interval = 0.54-1.36) or secondary cessation outcomes (6-month point prevalence: 14.4% vs 17.1%, p = 0.51; relative risk = 0.85, 95% confidence interval = 0.54-1.32; 6-month sustained: 11.1% vs 13.4%, p = 0.55; relative risk = 0.83, 95% confidence interval = 0.50-1.38). Bayes factors supported the null hypothesis (B[0, 0, 1.0986] = 0.20). Usage was similar across the conditions (mean/median logins: 9.6/4 vs 10.5/5; time spent: 401.8/202 s vs 325.8/209 s). CONCLUSIONS The addition of craving management tools did not affect cessation, and the limited engagement with the app may have contributed to this.
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Affiliation(s)
- Aleksandra Herbec
- Department of Behavioural Science and Health, University College London, UK
- Department of Clinical, Educational and Health Psychology, UCL
Centre for Behaviour Change, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
| | - Lion Shahab
- Department of Behavioural Science and Health, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
- Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Harveen Kaur Ubhi
- Department of Behavioural Science and Health, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
| | - Emma Beard
- Department of Behavioural Science and Health, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
- Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Alexandru Matei
- Bupa Centre Medical, UK
- Department of Computer Science, University College London, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, UK
- UCL Tobacco and Alcohol Research Group (UTARG), University College London, UK
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Smartphone health apps for tobacco Cessation: A systematic review. Addict Behav 2021; 112:106616. [PMID: 32932102 DOI: 10.1016/j.addbeh.2020.106616] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 08/06/2020] [Accepted: 08/15/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Given the low retention and lack of persistent support by traditional tobacco cessation programs, evidence-based smartphone app-supported interventions can be an important tobacco control component. The objective of this systematic review was to identify and evaluate the types of studies that use smartphone apps for interventions in tobacco cessation. METHODS We conducted a systematic review of PubMed (1946-2019), EMBASE (1974-2019), and PsycINFO (1806-2019) databases with keywords related to smartphone-supported tobacco cessation. Included articles were required to meet 3 baseline screening criteria: 1) be written in English, 2) include an abstract, and 3) be a full, peer-reviewed manuscript. The criteria for the second level of review were: 1) primary outcome of tobacco cessation, 2) intervention study, and 3) smartphone app as primary focus of study. RESULTS Of 1973 eligible manuscripts, 18 met inclusion criteria. Most studies (n = 17) recruited adult participants (18 + years); one included teens (16 + years). Tobacco cessation was usually self-reported (n = 11), compared to biochemical verification (n = 3) or both (n = 4). There were 11 randomized controlled trials, 4 of which reported statistically significant results, and 7 single-arm trials that reported a mean abstinence rate of 33.9%. DISCUSSION The majority of studies that use tobacco cessation apps as an intervention delivery modality are mostly at the pilot/feasibility stage. The growing field has resulted in studies that varied in methodologies, study design, and inclusion criteria. More consistency in intervention components and larger randomized controlled trials are needed for tobacco cessation smartphone apps.
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Noble JM, Vuong W, Surood S, Urichuk L, Greenshaw AJ, Agyapong VIO. Text4Support Mobile-Based Programming for Individuals Accessing Addictions and Mental Health Services-Retroactive Program Analysis at Baseline, 12 Weeks, and 6 Months. Front Psychiatry 2021; 12:640795. [PMID: 34122173 PMCID: PMC8192801 DOI: 10.3389/fpsyt.2021.640795] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 04/28/2021] [Indexed: 12/15/2022] Open
Abstract
Objective: Where traditional approaches fall short, widely accessible and accepted, yet under leveraged, digital technologies such as text messaging present novel opportunities to solve a range of health care solutions. The following provides a preliminary analysis of the Text4Support program, a text-messaging intervention using the principles of cognitive behavioral therapy, which seeks to support the health and well-being of individuals seeking support for addiction or mental health concerns. The goal of this study was to assess whether the Text4Support program improved the perceived overall mental well-being of participants. Methods: The evaluation analyzes survey responses of individuals who were enrolled in the Text4Support program beginning in July 2019, who had completed the 6-months program by May 2020. Participants were asked to provide responses to three surveys during their time in the program-at baseline, 12-weeks and 6-months, which included questions documenting demographic information, general satisfaction with the program, and a participants' level of "global distress" through use of the Clinical Outcomes Routine Evaluation System (CORE-10)-a validated brief 10-item assessment and outcome measurement tool used to assess conditions including anxiety, depression, physical problems, and risk to self. Results and Conclusions: This data set did not include a large enough sample of participants to reach statistical significance. Nevertheless, the study provides some preliminary analysis, and identifies opportunities for the future analysis and research.
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Affiliation(s)
- Jasmine M Noble
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Wesley Vuong
- Addiction and Mental Health, Alberta Health Services, Edmonton, AB, Canada
| | - Shireen Surood
- Addiction and Mental Health, Alberta Health Services, Edmonton, AB, Canada
| | - Liana Urichuk
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.,Addiction and Mental Health, Alberta Health Services, Edmonton, AB, Canada
| | - Andrew J Greenshaw
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Vincent I O Agyapong
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.,Addiction and Mental Health, Alberta Health Services, Edmonton, AB, Canada
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Cobos-Campos R, de Lafuente AS, Apiñaniz A, Parraza N, Llanos IP, Orive G. Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis. Tob Prev Cessat 2020; 6:62. [PMID: 33241162 PMCID: PMC7682489 DOI: 10.18332/tpc/127770] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/25/2020] [Accepted: 09/23/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Tobacco is the leading cause of preventable mortality. The use of mobile phones has grown exponentially, becoming a powerful tool to be used in health care. METHODS In order to assess the effectiveness of mobile phones to quit smoking, we have carried out a systematic review and meta-analysis of randomized clinical trials evaluating interventions based on mobile applications for smartphones, that were not a smaller version of the same application, against other types of therapy. To address this, a bibliographic search was carried out in MEDLINE, EMBASE and COCHRANE LIBRARY. To obtain the combined effect, the relative risk and the 95% confidence interval were used. A heterogeneity and sensitivity analysis were also conducted. RESULTS A total of nine studies were identified, but five were excluded. Qualitative review was performed with four selected studies, but quantitative analysis was carried out for only three, given the impossibility of calculating the RR in one of the studies. After combining the results, an RR of 0.901 (95% CI: 0.57-1.423) was calculated comparing the effectiveness of mobile applications versus others type of interventions. This measure was robust, as shown by the sensitivity analysis. CONCLUSIONS According to the results, it cannot be concluded that apps are effective for quitting tobacco. There are very few clinical trials published evaluating the effectiveness of mobile applications compared to other alternatives. Several clinical trials are still in progress, therefore their results have not been included in the present meta-analysis.
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Affiliation(s)
- Raquel Cobos-Campos
- Bioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain
| | - Arantza Sáez de Lafuente
- Bioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain
| | - Antxon Apiñaniz
- Bioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Lakuabizkarra Health Centre, Vitoria-Gasteiz, Spain
| | - Naiara Parraza
- Bioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain
| | - Iraida Pérez Llanos
- Bioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Olaguibel Health Centre, Vitoria-Gasteiz, Spain
| | - Gorka Orive
- School of Pharmacy, Laboratory of Pharmaceutics, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Bioaraba Health Research Institute, Nanobiocel research group, Vitoria-Gasteiz, Spain
- University Institute for Regenerative Medicine and Oral Implantology, Foundation Eduardo Anitua, Vitoria-Gasteiz, Spain
- Singapone Eye Research Institute, Singapore, Singapore
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Alasfour M, Almarwani M. The effect of innovative smartphone application on adherence to a home-based exercise programs for female older adults with knee osteoarthritis in Saudi Arabia: a randomized controlled trial. Disabil Rehabil 2020; 44:2420-2427. [PMID: 33103499 DOI: 10.1080/09638288.2020.1836268] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
PURPOSE To examine the effects of an Arabic smartphone application on adherence to home exercise programs (HEPs) and the effectiveness of mobile-based HEPs on pain, physical function, and lower-limb muscle strength among older women with knee osteoarthritis (OA). MATERIALS AND METHODS This randomised control trial (ClinicalTrials.gov: (NCT04159883) enrolled 40 women aged ≥50 years with knee OA who were randomised into the app group (experimental; n = 20) receiving HEPs using an Arabic smartphone application called "My Dear Knee", whereas the paper group (control; n = 20) receiving HEPs as hand-outs. Both groups had the same exercise program. Outcome measures were self-reported adherence, changes in the Arabic Numeric Pain Rating Scale, the Arabic version of the reduced Western Ontario, McMaster Universities Osteoarthritis Index-Physical Function subscale, and Five-Times Sit-To-Stand Test scores. All participants were assessed at baseline, at week 3 and week 6. Using completer-only analyses, the repeated measures ANOVA was used to compare the means of the outcome measures between the two groups. RESULTS At the end of week 6, the app group reported greater adherence to HEPs (p = .002) and significant reduction in pain (p = .015). CONCLUSIONS A smartphone application with motivational and attractive features could enhance adherence to HEPs in this patient cohort.IMPLICATIONS FOR REHABILITATIONOlder adults with knee OA may face many obstacles that prevent or limit their adherence to the prescribed HEP.Smart device apps supported with attractive and motivational features could be an effective strategy to enhance adherence to HEPs among older adults with knee OA.Using such remote technology appears to overcome the barriers that may limit the ability of older women to receive supervised physical therapy in a clinical setting.
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Affiliation(s)
- Maryam Alasfour
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.,Department of Medical Rehabilitation, Physical Therapy Department, Ministry of health, Riyadh, Saudi Arabia
| | - Maha Almarwani
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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Garrison KA, Pal P, O'Malley SS, Pittman BP, Gueorguieva R, Rojiani R, Scheinost D, Dallery J, Brewer JA. Craving to Quit: A Randomized Controlled Trial of Smartphone App-Based Mindfulness Training for Smoking Cessation. Nicotine Tob Res 2020; 22:324-331. [PMID: 29917096 DOI: 10.1093/ntr/nty126] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 06/15/2018] [Indexed: 11/12/2022]
Abstract
INTRODUCTION Mindfulness training may reduce smoking rates and lessen the association between craving and smoking. This trial tested the efficacy of mindfulness training via smartphone app to reduce smoking. Experience sampling (ES) was used to measure real-time craving, smoking, and mindfulness. METHODS A researcher-blind, parallel randomized controlled trial compared the efficacy of mobile mindfulness training with experience sampling (MMT-ES; Craving to Quit) versus experience sampling only (ES) to (1) increase 1-week point-prevalence abstinence rates at 6 months, and (2) lessen the association between craving and smoking. A modified intent-to-treat approach was used for treatment starters (MMT-ES n = 143; ES n = 182; 72% female, 81% white, age 41 ± 12 year). RESULTS No group difference was found in smoking abstinence at 6 months (overall, 11.1%; MMT-ES, 9.8%; ES, 12.1%; χ2(1) = 0.43, p = .51). From baseline to 6 months, both groups showed a reduction in cigarettes per day (p < .0001), craving strength (p < .0001) and frequency (p < .0001), and an increase in mindfulness (p < .05). Using ES data, a craving by group interaction was observed (F(1,3785) = 3.71, p = .05) driven by a stronger positive association between craving and cigarettes per day for ES (t = 4.96, p < .0001) versus MMT-ES (t = 2.03, p = .04). Within MMT-ES, the relationship between craving and cigarettes per day decreased as treatment completion increased (F(1,104) = 4.44, p = .04). CONCLUSIONS Although mindfulness training via smartphone app did not lead to reduced smoking rates compared with control, our findings provide preliminary evidence that mindfulness training via smartphone app may help lessen the association between craving and smoking, an effect that may be meaningful to support quitting in the longer term. IMPLICATIONS This is the first reported full-scale randomized controlled trial of any smartphone app for smoking cessation. Findings provide preliminary evidence that smartphone app-based MMT-ES may lessen the association between craving and smoking. TRIAL REGISTRATION Clinicaltrials.gov NCT02134509.
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Affiliation(s)
| | - Prasanta Pal
- Department of Medicine and Psychiatry, University of Massachusetts Medical School, Worcester, MA
| | | | - Brian P Pittman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Ralitza Gueorguieva
- Department of Psychiatry, Yale School of Medicine, New Haven, CT.,Department of Biostatistics, Yale School of Public Health, New Haven, CT
| | - Rahil Rojiani
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
| | - Jesse Dallery
- Department of Psychology, University of Florida, Gainesville, FL
| | - Judson A Brewer
- Department of Psychiatry, Yale School of Medicine, New Haven, CT.,Department of Medicine and Psychiatry, University of Massachusetts Medical School, Worcester, MA.,Center for Mindfulness, University of Massachusetts Medical School, Worcester, MA
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Tofighi B, Leonard N, Greco P, Hadavand A, Acosta MC, Lee JD. Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment. J Addict Med 2020; 13:279-286. [PMID: 30589653 PMCID: PMC6586521 DOI: 10.1097/adm.0000000000000494] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Technology-based interventions offer a practical, low-cost, and scalable approach to optimize the treatment of substance use disorders (SUDs) and related comorbidities (HIV, hepatitis C infection). This study assessed technology use patterns (mobile phones, desktop computers, internet, social media) among adults enrolled in inpatient detoxification treatment. METHODS A 49-item, quantitative and qualitative semi-structured survey assessed for demographic characteristics, technology use patterns (ie, mobile phone, text messaging [TM], smart phone applications, desktop computer, internet, and social media use), privacy concerns, and barriers to technology use. We used multivariate logistic regression models to assess the association between respondent demographic and clinical characteristics and their routine use of technologies. RESULTS Two hundred and six participants completed the survey. Nearly all participants reported mobile phone ownership (86%). Popular mobile phone features included TM (96%), web-browsers (81%), and accessing social media (61%). There was high mobile phone (3.3 ± 2.98) and phone number (2.6 ± 2.36) turnover in the preceding 12 months. Nearly half described daily or weekly access to desktop computers (48%) and most reported internet access (67%). Increased smartphone ownership was associated with higher education status (P = 0.022) and homeless respondents were less likely to report mobile phone ownership (P = 0.010) compared to participants with any housing status (ie, own apartment, residing with friends, family, or in a halfway house). Internet search engines were used by some participants (39.4%, 71/180) to locate 12 step support group meetings (37%), inpatient detoxification programs (35%), short- or long-term rehabilitation programs (32%), and outpatient treatment programs (4%). CONCLUSIONS Technology use patterns among this hard-to-reach sample of inpatient detoxification respondents suggest high rates of mobile phone ownership, TM use, and moderate use of technology to facilitate linkage to addiction treatment services.
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Affiliation(s)
- Babak Tofighi
- NYU College of Nursing (NL); NYU Department of Population Health (JDL, BT, PG); Johns Hopkins School of Public Health (AH); National Development and Research Institutes, Inc, New York, NY (MCA)
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Villanti AC, West JC, Klemperer EM, Graham AL, Mays D, Mermelstein RJ, Higgins ST. Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review. Am J Prev Med 2020; 59:123-136. [PMID: 32418800 PMCID: PMC7453837 DOI: 10.1016/j.amepre.2020.01.021] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/19/2020] [Accepted: 01/20/2020] [Indexed: 01/15/2023]
Abstract
CONTEXT Recent data suggest that the onset of cigarette smoking is now more likely during young adulthood than adolescence. Additionally, the landscape of delivering smoking-cessation interventions has changed in the past decade, with the emergence of mobile phone and web-based approaches. The objective of this study is to update a 2010 systematic review of smoking-cessation interventions for U.S. young adults (aged 18-24 years). EVIDENCE ACQUISITION Electronic searches were conducted in CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, Scopus, and Sociological Abstracts to identify eligible interventions from August 31, 2009 through July 17, 2019. Two independent coders critically evaluated the methodology and findings of all retrieved articles. Data analysis was conducted in 2019. EVIDENCE SYNTHESIS A total of 17 RCTs and 1 nonrandomized study were added to the original 14 studies meeting the inclusion criteria for this review; these studies varied with respect to sample size, intervention, assessed outcomes, and smoking measures. Of the new studies, 3 increased cessation in the short term, 2 at 6 months, and 1 had short-term effects on cigarette reduction. Pooled analyses supported the use of interventions employing social cognitive theory, quitline counseling, and text message programs for short-term cessation in young adults. CONCLUSIONS Of 32 included studies, 9 demonstrated efficacy of smoking cessation or reduction in U.S. young adults. There were no eligible pharmacologic interventions included in this review. Findings support the promise of 3 approaches for young adult cessation not included in the prior review: text message interventions, sustained quit-and-win contests, and multiple behavior interventions.
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Affiliation(s)
- Andrea C Villanti
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, Vermont.
| | - Julia C West
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, Vermont
| | - Elias M Klemperer
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, Vermont
| | - Amanda L Graham
- Innovations, Truth Initiative, Washington, District of Columbia; Department of Oncology, Georgetown University Medical Center, Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Washington, District of Columbia
| | - Darren Mays
- Department of Oncology, Georgetown University Medical Center, Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Washington, District of Columbia
| | - Robin J Mermelstein
- Department of Psychology and Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, Illinois
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, Vermont
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Greiwe J, Nyenhuis SM. Wearable Technology and How This Can Be Implemented into Clinical Practice. Curr Allergy Asthma Rep 2020; 20:36. [PMID: 32506184 PMCID: PMC7275133 DOI: 10.1007/s11882-020-00927-3] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PURPOSE OF REVIEW Our day-to-day life is saturated with health data that was previously out of reach. Over the last decade, new devices and fitness technology companies are attempting to tap into this data, uncovering a treasure trove of useful information that, when applied correctly, has the potential to revolutionize the way we approach healthcare and chronic conditions like asthma, especially in the wake of the COVID-19 pandemic. RECENT FINDINGS By harnessing exciting developments in personalization, digitization, wellness, and patient engagement, care providers can improve health outcomes for our patients in a way we have never been able to do in the past. While new technologies to capture individual health metrics are everywhere, how can we use this information to make a real difference in our patients' lives? Navigating the complicated landscape of personal wearable devices, asthma inhaler sensors, and exercise apps can be daunting to even the most tech savvy physician. This manuscript will give you the tools necessary to make lasting changes in your patients' lives by exposing them to a world of usable, affordable, and relatable health technology that resonates with their personal fitness and wellness goals. These tools will be even more important post-COVID-19, as the landscape of clinical outpatient care changes from mainly in-person visits to a greater reliance on telemedicine and remote monitoring.
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Affiliation(s)
- Justin Greiwe
- Bernstein Allergy Group, Inc, 8444 Winton Road, Cincinnati, OH, 45231, USA. .,Division of Immunology/Allergy Section, Department of Internal Medicine, The University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Sharmilee M Nyenhuis
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA.,Center for Dissemination and Implementation Science, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
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Etter JF, Khazaal Y. The Stop-Tabac smartphone application for smoking cessation: study protocol for a randomized controlled trial in the general population. Trials 2020; 21:449. [PMID: 32487157 PMCID: PMC7268412 DOI: 10.1186/s13063-020-04377-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/05/2020] [Indexed: 11/10/2022] Open
Abstract
Background Smartphone-based support can reach thousands of smokers and help those who would otherwise try to quit smoking by themselves with little chance of success. Nicotine medications double the chances of quitting smoking, but few smokers use them, and they often use them for too short a time and at an insufficient dose. It is therefore important to increase access to support for smoking cessation and compliance with nicotine therapy. The objectives of this study are to assess whether the Stop-Tabac application (app) is effective for smoking cessation and to examine whether the outcome is influenced by the personal characteristics of participants. Methods Trial design: this is a two-arm, parallel-group, superiority, individually randomized, “placebo” controlled trial in 5200 smokers, with follow up after 1 week, 1 month and 6 months. The participants are adult daily smokers (N = 5200) enrolled on the Internet, living in France or Switzerland. The intervention is the Stop-tabac fully-automated app for smartphones, which was launched in 2012 and continuously improved thereafter. It includes fact sheets; calculators of cigarettes not smoked, money saved, and years of life gained; an interactive “coach” that provides automated, individually tailored counseling messages based on the user’s personal profile, sent regularly for 6 months; immediate feedback during episodes of craving and tobacco withdrawal symptoms; a discussion forum (“The Tribe”) where participants provide and receive social support; a quiz that informs users in a playful way; and a module on nicotine therapy that includes personalized feedback and follow up. The outcome is self-reported smoking cessation after 6 months (no puff of tobacco in the past 4 weeks), and after 1 week and 1 month (no puff in the past 7 days). Participants will be randomized automatically based on a list of random numbers. Participants, assistants in charge of collecting follow-up data and data analysts will be blinded to allocation. Funding is provided by the Swiss National Science Foundation, CHF 194,942 (EUR 182,200, USD 200,700), grant 32003_179369. JFE’s salary is paid by the University of Geneva, YK’s salary is paid by the Lausanne University Hospitals. Discussion There is little evidence from randomized trials of the impact of health apps in general and of smoking cessation apps in particular. This study will fill this gap. Trial registration ISRCTN Registry: ISRCTN11318024. Registered on 17 May 2018.
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Affiliation(s)
- Jean-François Etter
- Institute of Global Health, Faculty of Medicine, University of Geneva, 9 chemin des Mines, Campus Biotech, CH-1202, Geneva, Switzerland.
| | - Yasser Khazaal
- Addiction Medicine, Department of Psychiatry, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
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Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17103744. [PMID: 32466270 PMCID: PMC7277525 DOI: 10.3390/ijerph17103744] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/18/2020] [Accepted: 05/19/2020] [Indexed: 01/29/2023]
Abstract
The rate of exposure to second-hand smoke (SHS) is relatively high in several countries, including Vietnam, and health issues related to SHS have worsened in recent years, especially for pregnant women and their infants. Enhancement of knowledge, attitude, and practice (KAP) scores of pregnant women in Vietnam could raise practical interventions to protect their health and reduce complications of SHS. A cross-sectional study of 432 pregnant women who came to the Obstetrics Department of Bach Mai Hospital, Hanoi, Vietnam for antenatal care was conducted in 2016 to collect information about their KAP related to SHS. Composite mean scores from survey questions assessing their KAP were calculated on a 10-point scale, finding mean scores of 4.19, 7.45, and 4.30, respectively. Higher scores indicated better knowledge, attitude, and practice. Generalized linear models identified that age, occupation, living place, and sources of information were associated with SHS-related KAP. Findings from this study indicate that suitable programs related to SHS should be implemented to improve and reinforce health literacy to both mothers and smokers to reduce the harmfulness of smoking on women and their infants' health.
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Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR Mhealth Uhealth 2020; 8:e17046. [PMID: 32186518 PMCID: PMC7113799 DOI: 10.2196/17046] [Citation(s) in RCA: 141] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 12/03/2019] [Accepted: 01/26/2020] [Indexed: 01/16/2023] Open
Abstract
Background With a growing focus on patient interaction with health management, mobile apps are increasingly used to deliver behavioral health interventions. The large variation in these mobile health apps—their target patient group, health behavior, and behavioral change strategies—has resulted in a large but incohesive body of literature. Objective This systematic review aimed to assess the effectiveness of mobile apps in improving health behaviors and outcomes and to examine the inclusion and effectiveness of behavior change techniques (BCTs) in mobile health apps. Methods PubMed, EMBASE, CINAHL, and Web of Science were systematically searched for articles published between 2014 and 2019 that evaluated mobile apps for health behavior change. Two authors independently screened and selected studies according to the eligibility criteria. Data were extracted and the risk of bias was assessed by one reviewer and validated by a second reviewer. Results A total of 52 randomized controlled trials met the inclusion criteria and were included in the analysis—37 studies focused on physical activity, diet, or a combination of both, 11 on drug and alcohol use, and 4 on mental health. Participant perceptions were generally positive—only one app was rated as less helpful and satisfactory than the control—and the studies that measured engagement and usability found relatively high study completion rates (mean 83%; n=18, N=39) and ease-of-use ratings (3 significantly better than control, 9/15 rated >70%). However, there was little evidence of changed behavior or health outcomes. Conclusions There was no strong evidence in support of the effectiveness of mobile apps in improving health behaviors or outcomes because few studies found significant differences between the app and control groups. Further research is needed to identify the BCTs that are most effective at promoting behavior change. Improved reporting is necessary to accurately evaluate the mobile health app effectiveness and risk of bias.
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Affiliation(s)
- Madison Milne-Ives
- Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Ching Lam
- Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Caroline De Cock
- Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Michelle Helena Van Velthoven
- Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Edward Meinert
- Digitally Enabled Preventative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.,Department of Primary Care and Public Health, Imperial College London, London, United Kingdom
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Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC HEART & VASCULATURE 2020; 26:100470. [PMID: 32021904 PMCID: PMC6994620 DOI: 10.1016/j.ijcha.2020.100470] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 01/01/2020] [Accepted: 01/12/2020] [Indexed: 02/07/2023]
Affiliation(s)
- Martin Steinmetz
- West German Heart and Vascular Center, Department of Cardiology and Angiology, University Hospital Essen, Germany
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Bricker JB, Watson NL, Heffner JL, Sullivan B, Mull K, Kwon D, Westmaas JL, Ostroff J. A Smartphone App Designed to Help Cancer Patients Stop Smoking: Results From a Pilot Randomized Trial on Feasibility, Acceptability, and Effectiveness. JMIR Form Res 2020; 4:e16652. [PMID: 31951215 PMCID: PMC6996729 DOI: 10.2196/16652] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 11/14/2019] [Accepted: 12/09/2019] [Indexed: 01/17/2023] Open
Abstract
Background Persistent smoking after a cancer diagnosis predicts worse treatment outcomes and mortality, but access to effective smoking cessation interventions is limited. Smartphone apps can address this problem by providing a highly accessible, low-cost smoking cessation intervention designed for patients with a recent cancer diagnosis. Objective This study aimed to summarize our development process and report the trial design, feasibility, participant acceptability, preliminary effectiveness, and impact on processes of change (eg, cancer stigma) of the first-known smoking cessation smartphone app targeted for cancer patients. Methods We used an agile, user-centered design framework to develop a fully automated smartphone app called Quit2Heal that provided skills training and stories from cancer survivors focusing on coping with internalized shame, cancer stigma, depression, and anxiety as core triggers of smoking. Quit2Heal was compared with the National Cancer Institute’s QuitGuide, a widely used stop smoking app for the general population, in a pilot double-blinded randomized trial with a 2-month follow-up period. Participants were 59 adult smokers diagnosed with cancer within the past 12 months and recruited through 2 cancer center care networks and social media over a 12-month period. The most common types of cancer diagnosed were lung (21/59, 36%) and breast (10/59, 17%) cancers. The 2-month follow-up survey retention rate was 92% (54/59) and did not differ by study arm (P=.15). Results Compared with QuitGuide participants, Quit2Heal participants were more satisfied with their assigned app (90% [19/21] for Quit2Heal vs 65% [17/26] for QuitGuide; P=.047) and were more likely to report that the app assigned to them was made for someone like them (86% [18/21] for Quit2Heal vs 62% [16/26] for QuitGuide; P=.04). Quit2Heal participants opened their app a greater number of times during the 2-month trial period, although this difference was not statistically significant (mean 10.0, SD 14.40 for Quit2Heal vs mean 6.1, SD 5.3 for QuitGuide; P=.33). Self-reported 30-day point prevalence quit rates at the 2-month follow-up were 20% (5/25) for Quit2Heal versus 7% (2/29) for QuitGuide (odds ratio 5.16, 95% CI 0.71-37.29; P=.10). Quit2Heal participants also showed greater improvement in internalized shame, cancer stigma, depression, and anxiety, although these were not statistically significant (all P>.05). Conclusions In a pilot randomized trial with a high short-term retention rate, Quit2Heal showed promising acceptability and effectiveness for helping cancer patients stop smoking. Testing in a full-scale randomized controlled trial with a longer follow-up period and a larger sample size is required to test the effectiveness, mediators, and moderators of this promising digital cessation intervention. Trial Registration ClinicalTrials.gov NCT03600038; https://clinicaltrials.gov/ct2/show/NCT03600038
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Affiliation(s)
- Jonathan B Bricker
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States.,Department of Global Health, University of Washington, Seattle, WA, United States
| | - Noreen L Watson
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States
| | - Jaimee L Heffner
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States
| | - Brianna Sullivan
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States
| | - Kristin Mull
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States
| | - Diana Kwon
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, United States.,Department of Global Health, University of Washington, Seattle, WA, United States
| | | | - Jamie Ostroff
- Memorial Sloan Kettering, New York City, NY, United States
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Barnett A, Ding H, Hay KE, Yang IA, Bowman RV, Fong KM, Marshall HM. The effectiveness of smartphone applications to aid smoking cessation: A meta-analysis. CLINICAL EHEALTH 2020. [DOI: 10.1016/j.ceh.2020.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Lin H, Lin Y, Zheng Y, Liu Z, Chang C. Design, development and randomised controlled trial of a smartphone application, 'QinTB', for smoking cessation in tuberculosis patients: study protocol. BMJ Open 2019; 9:e031204. [PMID: 31796480 PMCID: PMC7003393 DOI: 10.1136/bmjopen-2019-031204] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Providing smoking cessation treatment is an important intervention for tuberculosis (TB) patients. Mobile technologies, such as smartphone applications, have shown promising potential. However, there are few effective applications that could support TB patients in their efforts to quit smoking. To address this problem, we will develop a smartphone application 'QinTB' to help TB patients quit smoking, and we will evaluate the clinical efficacy of this application by using a randomised controlled trial (RCT). METHODS AND ANALYSIS This is a two-step study. In the first step, we will develop a smartphone application based on an interactive application of the transtheoretical model and protection motivation theory. Then, we will perform an RCT using a two-arm design; a total of 400 patients will be randomly assigned to the application group or the doctors' advice group; both treatments will be 6 months and follow-up will be 12 months; the primary outcome is the biochemically verified 6 month sustained abstinence rate; data will be analysed on an intention-to-treat basis. ETHICS AND DISSEMINATION This study was approved by the Ethics Committee of Beijing Research Institute for Tuberculosis Control and Prevention. We will disseminate the findings of this study through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER This study was registered in the Chinese Clinical Trial Registry (ChiCTR1900022008) and the stage is Pre-results.
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Affiliation(s)
- Haoxiang Lin
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yan Lin
- International Union Against Tuberculosis and Lung Disease, Paris, France
| | - Yunting Zheng
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Zhao Liu
- Tobacco Medicine and Tobacco Cessation Center, China-Japan Friendship Hospital, Beijing, China
| | - Chun Chang
- Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China
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Heffner JL, Watson NL, Serfozo E, Mull KE, MacPherson L, Gasser M, Bricker JB. A Behavioral Activation Mobile Health App for Smokers With Depression: Development and Pilot Evaluation in a Single-Arm Trial. JMIR Form Res 2019; 3:e13728. [PMID: 31774405 PMCID: PMC6913543 DOI: 10.2196/13728] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 08/21/2019] [Accepted: 09/25/2019] [Indexed: 11/13/2022] Open
Abstract
Background The integration of Behavioral Activation Treatment for Depression (BAT-D) into smoking cessation interventions is a promising approach to address depression as a barrier to quitting. However, this approach has only been tested as a face-to-face intervention, which has low reach. Objective The aims of the study were to develop a BAT-D mobile health app with high potential reach and determine its feasibility, acceptability, and preliminary effects on theory-based behavioral processes of behavioral activation, reduced depressive symptoms, and smoking cessation. Methods Following a user-centered design process consisting of competitive analysis, focus groups, and prototype testing, we conducted a single-arm pilot trial of Actify!, a BAT-D app for depressed smokers. Participants used SmokefreeTXT along with Actify! to provide cessation content that had not yet been built into the app for this initial phase of pilot testing. Participants in the trial were current, daily smokers with mild to moderate depressive symptoms. We examined use outcomes for all enrolled participants and process and cessation outcomes at 6 weeks postenrollment for study completers (16/17, 94% retention). Results Regarding acceptability, average number of log-ins per participant was 16.6 (SD 13.7), and 63% (10/16) reported being satisfied overall with the app. Posttreatment interviews identified some usability challenges (eg, high perceived burden of planning and scheduling values-based activities). There was a significant decrease in depressive symptoms from baseline to follow-up (mean change in Patient Health Questionnaire–9 scores was –4.5, 95% CI –7.7 to –1.3; P=.01). Additionally, carbon monoxide (CO)-confirmed, 7-day point prevalence abstinence (PPA) at 6-week follow-up was 31% (5/16), and the 30-day PPA was 19% (3/16). Conclusions Results demonstrate promising engagement with Actify! and potential for impact on theory-based change processes and cessation outcomes. Preliminary quit rates compare favorably to previous trials of smoking cessation apps for the general population (ie, short-term, self-reported 30-day quit rates in the 8% to 18% range) and a previous trial of face-to-face BAT-D for depressed smokers (ie, CO-confirmed, 7-day PPA rate of 17% at end of treatment).
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Affiliation(s)
- Jaimee L Heffner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Noreen L Watson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Edit Serfozo
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Kristin E Mull
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Laura MacPherson
- Greenebaum Comprehensive Cancer Center, Baltimore, MD, United States
| | - Melissa Gasser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,University of Washington, Seattle, WA, United States
| | - Jonathan B Bricker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,University of Washington, Seattle, WA, United States
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Jackson SE, Perski O, Crane D, Michie S, West R, Brown J. Effectiveness of an offer of the Smoke Free smartphone application for smoking cessation: protocol for a randomized controlled trial. Addiction 2019; 114:2078-2086. [PMID: 31083767 DOI: 10.1111/add.14652] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 04/10/2019] [Accepted: 05/03/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Smartphone applications (apps) hold promise for delivering tobacco smoking cessation support to large numbers of people at low unit cost. Smoke Free is an evidence-informed, widely used app that is highly rated by users. This study aims to assess its effectiveness compared with no support. DESIGN Two-arm individually randomized controlled effectiveness trial. SETTING Online trial with no restrictions on location. PARTICIPANTS English-speaking smokers aged ≥ 18 years willing to make a quit attempt within 4 weeks from initial contact (n = 4990). MEASUREMENTS The primary outcome measure is self-reported 26-week continuous smoking abstinence. Secondary outcome measures include quit attempts in the first 4 weeks post-randomization, 12-week continuous smoking abstinence and 26-week continuous smoking abstinence among those who made a quit attempt. COMMENTS If it is effective, the Smoke Free smartphone app is an affordable and widely implementable intervention to help smokers to quit.
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Affiliation(s)
- Sarah E Jackson
- Department of Behavioural Science and Health, University College London, UK
| | - Olga Perski
- Department of Behavioural Science and Health, University College London, UK
| | - David Crane
- Department of Behavioural Science and Health, University College London, UK
| | - Susan Michie
- Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, UK
- Department of Clinical, Educational and Health Psychology, University College London, UK
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