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Matthews JA, Carlisle VR, Walker R, Dennie EJ, Durant C, McConville R, Isotalus HK, Attwood AS. "The worst thing is lying in bed thinking 'I want a cigarette'" a qualitative exploration of smoker's and ex-smoker's perceptions of sleep during a quit attempt and the use of cognitive behavioural therapy for insomnia to aid cessation. PLoS One 2024; 19:e0299702. [PMID: 38718044 PMCID: PMC11078348 DOI: 10.1371/journal.pone.0299702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/13/2024] [Indexed: 05/12/2024] Open
Abstract
Smokers report poorer sleep quality than non-smokers and sleep quality deteriorates further during cessation, increasing risk of smoking relapse. Despite the use of cognitive behavioural therapy for insomnia (CBT-I) to aid quit attempts emerging in the area, little is known about smokers and ex smoker's experiences of sleep during a quit attempt or their perceptions of CBT-I. This study addresses this gap by exploring smoker's and ex-smoker's experiences of the link between smoking and sleep and how this may change as a function of smoking/smoking abstinence. It also explores views of traditional CBT-I components (i.e., perceived feasibility, effectiveness, barriers of use). We conducted semi-structured interviews with current and recently quit smokers (n = 17) between January and September 2022. The framework method was used for analysis. Four themes addressing research questions were described. These included: 1) A viscous cycle; poor sleep quality and negative psychological state during cessation; 2) Perceived engagement and effectiveness; the importance of feasibility, experience, value, identity and psychological state in assessing CBT-I as a cessation tool; 3) Striking a balance; tailoring CBT-I to reduce psychological overload in a time of lifestyle transition; and 4) Personalisation and digital delivery helping overcome psychological barriers during cessation. The analysis suggested during quit attempts smokers experienced a range of sleep problems that could increase risk of relapse due to a negative impact on psychological state. It also revealed participants thought that CBT-I is something they would use during a quit attempt but suggested changes and additions that would improve engagement and be better tailored to quitting smokers. Key additions included the integration of smoking-based cognitive restructuring, starting the intervention prior to a quit attempt, and the need for personalisation and tailoring.
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Affiliation(s)
- Joe A. Matthews
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
- Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Integrative Cancer Epidemiology Programme, University of Bristol, Bristol, United Kingdom
| | - Victoria R. Carlisle
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Robert Walker
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Emma J. Dennie
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Bristol Business School, University of Bristol, Bristol, United Kingdom
| | - Claire Durant
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
| | - Ryan McConville
- Department Engineering and Mathematics, University of Bristol, Bristol, United Kingdom
| | - Hanna K. Isotalus
- Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom
| | - Angela S. Attwood
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Integrative Cancer Epidemiology Programme, University of Bristol, Bristol, United Kingdom
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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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White JS, Salem MK, Toussaert S, Westmaas JL, Raiff BR, Crane D, Warrender E, Lyles C, Abroms L, Thrul J. Developing a Game (Inner Dragon) Within a Leading Smartphone App for Smoking Cessation: Design and Feasibility Evaluation Study. JMIR Serious Games 2023; 11:e46602. [PMID: 37566442 PMCID: PMC10457699 DOI: 10.2196/46602] [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: 02/17/2023] [Revised: 04/08/2023] [Accepted: 07/08/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. So far, the uptake of these games has been modest, and the evidence base for their efficacy in promoting smoking cessation is still evolving. The feasibility of integrating a game into a popular smoking cessation app is unclear. OBJECTIVE The aim of this paper was to describe the design and iterative development of the Inner Dragon game within Smoke Free, a smartphone app with proven efficacy, and the results of a single-arm feasibility trial as part of a broad program that seeks to assess the effectiveness of the gamified app for smoking cessation. METHODS In phase 1, the study team undertook a multistep process to design and develop the game, including web-based focus group discussions with end users (n=15). In phase 2, a single-arm study of Smoke Free users who were trying to quit (n=30) was conducted to assess the feasibility and acceptability of the integrated game and to establish the feasibility of the planned procedures for a randomized pilot trial. RESULTS Phase 1 led to the final design of Inner Dragon, informed by principles from psychology and behavioral economics and incorporating several game mechanics designed to increase user engagement and retention. Inner Dragon users maintain an evolving pet dragon that serves as a virtual avatar for the users' progress in quitting. The phase-2 study established the feasibility of the study methods. The mean number of app sessions completed per user was 13.8 (SD 13.1; median 8; range 1-46), with a mean duration per session of 5.8 (median 1.1; range 0-81.1) minutes. Overall, three-fourths (18/24, 75%) of the participants entered the Inner Dragon game at least once and had a mean of 2.4 (SD 2.4) sessions of game use. The use of Inner Dragon was positively associated with the total number of app sessions (correlation 0.57). The mean satisfaction score of participants who provided ratings (11/24, 46%) was 4.2 (SD 0.6) on a 5-point scale; however, satisfaction ratings for Inner Dragon were only completed by 13% (3/24) of the participants. CONCLUSIONS Findings supported further development and evaluation of Inner Dragon as a beneficial feature of Smoke Free. The next step of this study is to conduct a randomized pilot trial to determine whether the gamified version of the app increases user engagement over a standard version of the app.
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Affiliation(s)
- Justin S White
- Philip R Lee Institute for Health Policy Studies, University of California, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
- Department of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA, United States
| | - Marie K Salem
- Philip R Lee Institute for Health Policy Studies, University of California, San Francisco, CA, United States
| | | | - J Lee Westmaas
- Population Science, American Cancer Society, Atlanta, GA, United States
| | - Bethany R Raiff
- Department of Psychology, Rowan University, Glassboro, NJ, United States
| | | | | | - Courtney Lyles
- Department of Medicine, University of California, San Francisco, CA, United States
| | - Lorien Abroms
- Department of Prevention and Community Health, George Washington University, Washington, DC, United States
| | - Johannes Thrul
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, United States
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
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Zhang M, Wolters M, O'Connor S, Wang Y, Doi L. Smokers' user experience of smoking cessation apps: A systematic review. Int J Med Inform 2023; 175:105069. [PMID: 37084673 DOI: 10.1016/j.ijmedinf.2023.105069] [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: 12/26/2022] [Revised: 03/30/2023] [Accepted: 04/11/2023] [Indexed: 04/23/2023]
Abstract
OBJECTIVES To explore how smokers view common functions and characteristics of smoking cessation apps. DESIGN Systematic review. SEARCH SOURCES CINAHL PLUS, MEDLINE, PsycINFO, EMBASE, IEEE Xplore, ACM Digital Library, and Google Scholar. REVIEW METHODS Seven digital databases were searched separately using relevant search terms. Search results were uploaded to Covidence. Inclusion and exclusion criteria were identified with the expert team in advance. Titles, abstracts, and full texts were screened by two reviewers independently. Any disagreements were discussed in research meetings. Pertinent data were extracted and analysed using qualitative content analysis. Findings were presented in a narrative approach. RESULTS 28 studies were included in this review. The overarching themes were app functionality and app characteristics. Under app "functionality", six subthemes emerged: 1) education; 2) tracking; 3) social support; 4) compensation; 5) distraction, and 6) reminding. Under "app characteristics", five subthemes emerged: 1) simplification, 2) personalisation, 3) diverse content forms, 4) interactivity, and 5) privacy and security. CONCLUSION Understanding user needs and expectations is crucial for developing a programme theory for smoking cessation app interventions. Relevant needs identified in this review should be linked to broader theories of smoking cessation and app-based intervention.
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Affiliation(s)
- Mengying Zhang
- School of Health in Social Science, The University of Edinburgh, UK; Scottish Collaboration for Public Health Research & Policy, The University of Edinburgh, UK.
| | - Maria Wolters
- School of Informatics, The University of Edinburgh, UK
| | | | - Yajing Wang
- School of Health in Social Science, The University of Edinburgh, UK
| | - Lawrence Doi
- School of Health in Social Science, The University of Edinburgh, UK; Scottish Collaboration for Public Health Research & Policy, The University of Edinburgh, UK
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Socially-Oriented Persuasive Game to Promote Disease Awareness and Prevention. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES 2022. [DOI: 10.1155/2022/9403578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Persuasive games are widely implemented in the health domain to promote desirable behaviour change. Previous research shows that using persuasive games employing various strategies results in increased motivation and awareness that led to a positive change in behaviour. This paper investigates the efficacy of a competition-based persuasive game at creating awareness and motivating people to adhere to COVID-19 precautionary measures. To achieve this goal, we developed and evaluated a competition-based persuasive game to promote the awareness and adoption of COVID-19 precautionary measures. The results of our pretest and posttest study (
) followed by a semistructured interview of 18 participants show the efficacy of the game with respect to promoting a positive change in attitude, intention, self-efficacy, knowledge, and promoting motivation and positive player experience among participants. The qualitative results provide insight into how and why persuasive games promote desirable behaviour. The paper contributes to the knowledge of how emerging technologies in the form of persuasive games can be designed and used to contribute to solving problems in our society.
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Santiago-Torres M, Mull KE, Sullivan BM, Kwon DM, Nez Henderson P, Nelson LA, Patten CA, Bricker JB. Efficacy and Utilization of Smartphone Applications for Smoking Cessation Among American Indians and Alaska Natives: Results From the iCanQuit Trial. Nicotine Tob Res 2022; 24:544-554. [PMID: 34644389 PMCID: PMC8887580 DOI: 10.1093/ntr/ntab213] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022]
Abstract
INTRODUCTION There is tremendous need for efficacious and accessible interventions for smoking cessation among American Indians and Alaska Natives. We tested the efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus US Clinical Practice Guidelines-based smartphone application (QuitGuide) for smoking cessation among American Indians and Alaska Natives. AIMS AND METHODS We compared cessation, changes in ACT-based processes, engagement and satisfaction between American Indian and Alaska Native iCanQuit (n = 89) and QuitGuide (n = 80) participants enrolled in the iCanQuit trial. The primary outcome was self-reported, complete-case, 30-day point-prevalence abstinence. Follow-up timepoints were 12, 6, and 3 months. RESULTS Randomized American Indians and Alaska Natives from 31 US states (70% urban, 30% rural, with 25% of participants residing on tribal land). The outcome data retention rates were 93%, 92%, and 90% at the 12-, 6-, and 3-month follow-ups, respectively, with no differential retention between arms. The 30-day point-prevalence abstinence for iCanQuit versus QuitGuide was 30% versus 18% at 12 months (odds ratio [OR] = 1.96; 95% confidence interval [CI]: 0.90 to 4.26) 25% versus 11% at 6 months (OR = 2.62; 95% CI: 1.06 to 6.45), and 15% versus 6% at 3 months (OR = 2.93; 95% CI: 0.90 to 9.59). Increases in acceptance of internal cues to smoke mediated the effect of treatment on smoking cessation at 12 months. iCanQuit arm participants were also significantly more engaged and satisfied with their assigned application. CONCLUSIONS In a nationwide sample with high data retention and participant engagement, this is the first study to show that a digital intervention may be efficacious for helping American Indians and Alaska Natives quit smoking. IMPLICATIONS This is the first study to provide evidence of an efficacious, accessible, and engaging treatment for helping American Indians and Alaska Natives quit smoking. Compared to a US Clinical Practice Guidelines-based smartphone application (QuitGuide), an ACT-based smartphone application (iCanQuit) was more efficacious, engaging, and satisfactory among American Indians and Alaska Natives nationwide. Our results will inform the tailoring of the iCanQuit smartphone application for American Indian and Alaska Native tribal communities and organizations with potential for broad dissemination and high impact.
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Affiliation(s)
| | - Kristin E Mull
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brianna M Sullivan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Diana M Kwon
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Psychology, University of Washington, Seattle, WA,USA
| | | | - Lonnie A Nelson
- Initiative for Research and Education to Advance Community Health, Washington State University, Spokane, WA, USA
- Washington State University College of Nursing, Spokane, WA, USA
| | - Christi A Patten
- Department of Psychiatry and Psychology and Behavioral Health Research Program, Mayo Clinic, Rochester, MN, USA
| | - Jonathan B Bricker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Psychology, University of Washington, Seattle, WA,USA
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Clifford G, Nguyen T, Shaw C, Newton B, Francis S, Salari M, Evans C, Jones C, Akintobi TH, Taylor H. An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach. JMIR Form Res 2022; 6:e25444. [PMID: 35014970 PMCID: PMC8790689 DOI: 10.2196/25444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 06/08/2021] [Accepted: 09/18/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are the leading cause of death worldwide and are increasingly affecting younger populations, particularly African Americans in the southern United States. Access to preventive and therapeutic services, biological factors, and social determinants of health (ie, structural racism, resource limitation, residential segregation, and discriminatory practices) all combine to exacerbate health inequities and their resultant disparities in morbidity and mortality. These factors manifest early in life and have been shown to impact health trajectories into adulthood. Early detection of and intervention in emerging risk offers the best hope for preventing race-based differences in adult diseases. However, young-adult populations are notoriously difficult to recruit and retain, often because of a lack of knowledge of personal risk and a low level of concern for long-term health outcomes. OBJECTIVE This study aims to develop a system design for the MOYO mobile platform. Further, we seek to addresses the challenge of primordial prevention in a young, at-risk population (ie, Southern-urban African Americans). METHODS Urban African Americans, aged 18 to 29 years (n=505), participated in a series of co-design sessions to develop MOYO prototypes (ie, HealthTech Events). During the sessions, participants were orientated to the issues of CVD risk health disparities and then tasked with wireframing prototype screens depicting app features that they considered desirable. All 297 prototype screens were subsequently analyzed using NVivo 12 (QSR International), a qualitative analysis software. Using the grounded theory approach, an open-coding method was applied to a subset of data, approximately 20% (5/25), or 5 complete prototypes, to identify the dominant themes among the prototypes. To ensure intercoder reliability, 2 research team members analyzed the same subset of data. RESULTS Overall, 9 dominant design requirements emerged from the qualitative analysis: customization, incentive motivation, social engagement, awareness, education, or recommendations, behavior tracking, location services, access to health professionals, data user agreements, and health assessment. This led to the development of a cross-platform app through an agile design process to collect standardized health surveys, narratives, geolocated pollution, weather, food desert exposure data, physical activity, social networks, and physiology through point-of-care devices. A Health Insurance Portability and Accountability Act-compliant cloud infrastructure was developed to collect, process, and review data, as well as generate alerts to allow automated signal processing and machine learning on the data to produce critical alerts. Integration with wearables and electronic health records via fast health care interoperability resources was implemented. CONCLUSIONS The MOYO mobile platform provides a comprehensive health and exposure monitoring system that allows for a broad range of compliance, from passive background monitoring to active self-reporting. These study findings support the notion that African Americans should be meaningfully involved in designing technologies that are developed to improve CVD outcomes in African American communities.
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Affiliation(s)
- Gari Clifford
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.,Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Tony Nguyen
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Corey Shaw
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | | | - Sherilyn Francis
- Nucleus Health Communications, Atlanta, GA, United States.,School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States
| | - Mohsen Salari
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Chad Evans
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, United States
| | - Camara Jones
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, United States
| | - Tabia Henry Akintobi
- Prevention Research Center & Community Engagement, Morehouse School of Medicine, Atlanta, GA, United States
| | - Herman Taylor
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, United States
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Struik L, Yang Y. e-Cigarette Cessation: Content Analysis of a Quit Vaping Community on Reddit. J Med Internet Res 2021; 23:e28303. [PMID: 34694229 PMCID: PMC8576600 DOI: 10.2196/28303] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/20/2021] [Accepted: 07/19/2021] [Indexed: 01/20/2023] Open
Abstract
Background e-Cigarette use, also known as vaping, has increased dramatically over the past few years, especially among younger demographics. However, researchers have found that a large number of e-cigarette users want to quit. Little is known about the unique aspects of vaping cessation, which is critical to informing the development of relevant resources and interventions for e-cigarette users who want to quit. Social media forums such as Reddit provide opportunities to understand the experiences of behavior change such as quitting vaping from the perspective of end users. Objective This study aims to examine a quit vaping subreddit to understand how e-cigarette users are experiencing and approaching vaping cessation. Specifically, we examine methods used to approach quitting, reasons for quitting, and barriers and facilitators to quitting. Methods A total of 1228 posts were collected. The posts were inductively coded to generate categories and subcategories using conventional content analysis. Data were analyzed using the NVivo 12 qualitative data analysis software. Results Most users reported a preference for approaching quitting through gradual reduction, particularly through the use of their own devices by tapering the nicotine content. Their reasons for quitting were primarily related to experiencing negative physical consequences associated with vaping, especially in relation to their lungs (eg, tight chest), and tired of feeling stuck to the vape because of nicotine addiction. Top barriers to quitting were related to withdrawal symptoms and intensity of addiction. The top facilitators to quitting were related to using distraction techniques (eg, hobby, gaming, and mindfulness exercises), as well as having a positive mindset. Conclusions The findings of this study reveal unique aspects that encompass the process of quitting vaping. These findings have significant implications for both policy and intervention development.
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Affiliation(s)
- Laura Struik
- School of Nursing, Department of Health and Social Development, University of British Columbia Okanagan, Kelowna, BC, Canada
| | - Youjin Yang
- School of Nursing, Department of Health and Social Development, University of British Columbia Okanagan, Kelowna, BC, Canada
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García-Pazo P, Sesé A, Llabrés J, Fornés-Vives J. NoFumo+: A Clinical Trial of an mHealth for Smoking Cessation with Hospitalized Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:10476. [PMID: 34639776 PMCID: PMC8507632 DOI: 10.3390/ijerph181910476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 01/08/2023]
Abstract
Smartphone applications (apps) improve accessibility to smoking cessation treatments. The NoFumo+ app administers a cognitive behavioral therapy program for smoking cessation. This study evaluates the efficacy of NoFumo+ for quitting smoking or reducing cigarette consumption versus the usual information-based treatment. A clinical trial was conducted with 99 hospitalized smokers, 54 pseudo-randomly assigned to the app treatment and 45 to the usual treatment. The two groups had homogeneous baseline characteristics to ensure comparability. Abstinence was evaluated at post-treatment (two months) and at a six-month follow-up. The results obtained indicate that participants who receive the usual treatment are 5.40 times more likely to continue smoking than those who undergo the app treatment (95% CI = [1.35; 20.15]). Participants who do not succeed in quitting smoking with the app manage to decrease their habitual consumption. Users who successfully complete treatment with NoFumo+ access all its contents and use the chat, but without requesting professional support. There is not enough empirical evidence to attribute this success to any specific element of the app. NoFumo+ achieves better abstinence rates than the usual information-based treatments, and the goal of generalizing its use to the non-hospitalized smoking population may be achievable in the future.
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Affiliation(s)
- Patricia García-Pazo
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Balearic Island, 07122 Palma, Spain;
- Balearic Islands Health Research Institute (IdISBa), Hospital Universitario Son Espases, Balearic Island, 07120 Palma, Spain; (A.S.); (J.L.)
| | - Albert Sesé
- Balearic Islands Health Research Institute (IdISBa), Hospital Universitario Son Espases, Balearic Island, 07120 Palma, Spain; (A.S.); (J.L.)
- Department of Psychology, University of the Balearic Islands, Balearic Island, 07122 Palma, Spain
| | - Jordi Llabrés
- Balearic Islands Health Research Institute (IdISBa), Hospital Universitario Son Espases, Balearic Island, 07120 Palma, Spain; (A.S.); (J.L.)
- Department of Psychology, University of the Balearic Islands, Balearic Island, 07122 Palma, Spain
| | - Joana Fornés-Vives
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Balearic Island, 07122 Palma, Spain;
- Balearic Islands Health Research Institute (IdISBa), Hospital Universitario Son Espases, Balearic Island, 07120 Palma, Spain; (A.S.); (J.L.)
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Vogel EA, Pechmann CC. Application of Automated Text Analysis to Examine Emotions Expressed in Online Support Groups for Quitting Smoking. JOURNAL OF THE ASSOCIATION FOR CONSUMER RESEARCH 2021; 6:315-323. [PMID: 36275173 PMCID: PMC9585921 DOI: 10.1086/714517] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Online support groups offer social support and an outlet for expressing emotions when dealing with health-related challenges. This study examines whether automated text analysis of emotional expressions using Linguistic Inquiry and Word Count (LIWC) can identify emotions related to abstinence expressed in online support groups for quitting smoking, suggesting promise for offering targeted mood management to members. The emotional expressions in 1 month of posts by members of 36 online support groups were related to abstinence at month end. Using the available LIWC dictionary, posts were scored for overall positive emotions, overall negative emotions, anxiety, anger, sadness, and an upbeat emotional tone. Greater expressions of negative emotions, and specifically anxiety, related to nonabstinence, while a more upbeat emotional tone related to abstinence. The results indicate that automated text analysis can identify emotions expressed in online support groups for quitting smoking and enable targeted delivery of mood management to group members.
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Affiliation(s)
- Erin A Vogel
- Stanford Prevention Research Center, Department of Medicine, Stanford University, 1265 Welch Road, X3C16, Stanford, CA 94305
| | - Cornelia Connie Pechmann
- Paul Merage School of Business, University of California, Irvine, 4293 Pereira Drive, SB Bldg. 1, Suite 4317, Irvine, CA 92697-3125
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11
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Aboelmaged M, Ali I, Hashem G. Mobile apps use for wellness and fitness and university students’ subjective wellbeing. INFORMATION DEVELOPMENT 2021. [DOI: 10.1177/02666669211020498] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Subjective wellbeing among mobile application users attracted researchers’ interest in recent years due to its prevalent role in enhancing everyday life, particularly during the recent coronavirus pandemic (COVID-19). While previous work has primarily focused on users’ intention to adopt mobile apps for wellness and fitness (MAWF) purposes, scarce attention has been paid to the post-adoption impact of these apps on users’ subjective wellbeing. This study empirically integrates ‘technology readiness’ and ‘technology acceptance’ models (TRAM) to predict subjective wellbeing among MAWF users. It also critically assesses the strength of the mediating effects on the link between technology readiness and subjective wellbeing. Data analysis of 694 actual users of MAWF by means of SEM-PLS approach proves the robust power of the TRAM model in predicting subjective wellbeing. In addition to their mediating effects, technology acceptance constructs tend to be more influenced by positive dimensions (i.e., optimism and innovativeness) than that of negative dimensions (i.e., insecurity and discomfort) of technology readiness. This study is one of the first attempts to predict subjective wellbeing among actual users of MAWF. The study also delineates a broad spectrum of implications that enrich existing research and better inform decision makers in mobile health field.
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Lee EW, Bekalu MA, McCloud R, Vallone D, Arya M, Osgood N, Li X, Minsky S, Viswanath K. The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study. J Med Internet Res 2020; 22:e17451. [PMID: 32673252 PMCID: PMC7381035 DOI: 10.2196/17451] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/20/2020] [Accepted: 03/21/2020] [Indexed: 01/23/2023] Open
Abstract
Background People from underserved communities such as those from lower socioeconomic positions or racial and ethnic minority groups are often disproportionately targeted by the tobacco industry, through the relatively high levels of tobacco retail outlets (TROs) located in their neighborhood or protobacco marketing and promotional strategies. It is difficult to capture the smoking behaviors of individuals in actual locations as well as the extent of exposure to tobacco promotional efforts. With the high ownership of smartphones in the United States—when used alongside data sources on TRO locations—apps could potentially improve tobacco control efforts. Health apps could be used to assess individual-level exposure to tobacco marketing, particularly in relation to the locations of TROs as well as locations where they were most likely to smoke. To date, it remains unclear how health apps could be used practically by health promotion organizations to better reach underserved communities in their tobacco control efforts. Objective This study aimed to demonstrate how smartphone apps could augment existing data on locations of TROs within underserved communities in Massachusetts and Texas to help inform tobacco control efforts. Methods Data for this study were collected from 2 sources: (1) geolocations of TROs from the North American Industry Classification System 2016 and (2) 95 participants (aged 18 to 34 years) from underserved communities who resided in Massachusetts and Texas and took part in an 8-week study using location tracking on their smartphones. We analyzed the data using spatial autocorrelation, optimized hot spot analysis, and fitted power-law distribution to identify the TROs that attracted the most human traffic using mobility data. Results Participants reported encountering protobacco messages mostly from store signs and displays and antitobacco messages predominantly through television. In Massachusetts, clusters of TROs (Dorchester Center and Jamaica Plain) and reported smoking behaviors (Dorchester Center, Roxbury Crossing, Lawrence) were found in economically disadvantaged neighborhoods. Despite the widespread distribution of TROs throughout the communities, participants overwhelmingly visited a relatively small number of TROs in Roxbury and Methuen. In Texas, clusters of TROs (Spring, Jersey Village, Bunker Hill Village, Sugar Land, and Missouri City) were found primarily in Houston, whereas clusters of reported smoking behaviors were concentrated in West University Place, Aldine, Jersey Village, Spring, and Baytown. Conclusions Smartphone apps could be used to pair geolocation data with self-reported smoking behavior in order to gain a better understanding of how tobacco product marketing and promotion influence smoking behavior within vulnerable communities. Public health officials could take advantage of smartphone data collection capabilities to implement targeted tobacco control efforts in these strategic locations to reach underserved communities in their built environment.
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Affiliation(s)
- Edmund Wj Lee
- Dana-Farber Cancer Institute, Boston, MA, United States.,Harvard TH Chan School of Public Health, Boston, MA, United States.,Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
| | - Mesfin Awoke Bekalu
- Dana-Farber Cancer Institute, Boston, MA, United States.,Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Rachel McCloud
- Dana-Farber Cancer Institute, Boston, MA, United States.,Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Donna Vallone
- Schroeder Institute, Truth Initiative, Washington, DC, United States.,College of Global Public Health, New York University, New York, NY, United States.,Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
| | - Monisha Arya
- Baylor College of Medicine, Houston, TX, United States.,Center for Innovation in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, TX, United States
| | - Nathaniel Osgood
- Department of Computer Science, College of Arts and Science, University of Saskatchewan, Saskatoon, SK, Canada
| | - Xiaoyan Li
- Department of Computer Science, College of Arts and Science, University of Saskatchewan, Saskatoon, SK, Canada
| | - Sara Minsky
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - Kasisomayajula Viswanath
- Dana-Farber Cancer Institute, Boston, MA, United States.,Harvard TH Chan School of Public Health, Boston, MA, United States
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Eysenbach G, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR Mhealth Uhealth 2020; 8:e15818. [PMID: 32432559 PMCID: PMC7270844 DOI: 10.2196/15818] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 03/17/2020] [Accepted: 03/25/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Technological solutions, particularly mobile health (mHealth), have been shown to be potentially viable approaches for sustaining individuals' self-management of chronic health conditions. Theory-based interventions are more successful, as evidence-based information is an essential prerequisite for appropriate self-management. However, several reviews have shown that many existing mobile apps fail to be either theoretically grounded or based on evidence. Although some authors have attempted to address these two issues by focusing on the design and development processes of apps, concrete efforts to systematically select evidence-based content are scant. OBJECTIVE The objective of this study was to present a procedure for the participatory identification of evidence-based content to ground the development of a self-management app. METHODS To illustrate the procedure, we focused on the prevention and management of pressure injuries (PIs) in individuals with spinal cord injury (SCI). The procedure involves the following three steps: (1) identification of existing evidence through review and synthesis of existing recommendations on the prevention and self-management of PIs in SCI; (2) a consensus meeting with experts from the field of SCI and individuals with SCI to select the recommendations that are relevant and applicable to community-dwelling individuals in their daily lives; and (3) consolidation of the results of the study. RESULTS In this case study, at the end of the three-step procedure, the content for an mHealth intervention was selected in the form of 98 recommendations. CONCLUSIONS This study describes a procedure for the participatory identification and selection of disease-specific evidence and professional best practices to inform self-management interventions. This procedure might be especially useful in cases of complex chronic health conditions, as every recommendation in these cases needs to be evaluated and considered in light of all other self-management requirements. Hence, the agreement of experts and affected individuals is essential to ensure the selection of evidence-based content that is considered to be relevant and applicable.
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Affiliation(s)
| | - Claudia Zanini
- Swiss Paraplegic Research, Nottwil, Switzerland.,Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Julia Amann
- Swiss Paraplegic Research, Nottwil, Switzerland.,Department of Health Sciences and Technology, Health Ethics and Policy Lab, ETH Zürich, Zürich, Switzerland
| | - Anke Scheel-Sailer
- Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.,Swiss Paraplegic Centre, Nottwil, Switzerland
| | - Mirjam Brach
- Swiss Paraplegic Research, Nottwil, Switzerland.,Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Gerold Stucki
- Swiss Paraplegic Research, Nottwil, Switzerland.,Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Sara Rubinelli
- Swiss Paraplegic Research, Nottwil, Switzerland.,Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
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Watkins SL, Thrul J, Max W, Ling PM. Cold Turkey and Hot Vapes? A National Study of Young Adult Cigarette Cessation Strategies. Nicotine Tob Res 2020; 22:638-646. [PMID: 30590749 PMCID: PMC7171265 DOI: 10.1093/ntr/nty270] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/21/2018] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Young adults have high smoking rates and low utilization of evidence-based smoking cessation strategies. We investigated smoking cessation intentions, strategy use, and socioeconomic predictors of strategy use among young adult smokers (age 18-24) and compared patterns with those of older adults (age 25-64). METHODS We used a population-based sample from the Population Assessment of Tobacco and Health (PATH) study of young adult (n = 1,881) and older adult (n = 6,366) established smokers of conventional cigarettes at Wave 1 (2013-2014), who were surveyed at Wave 2 (2014-2015). Simple regression analysis compared intentions to quit between age groups. Among Wave 1 smokers who reported a Wave 2 quit attempt (young adults [YA] n = 748; older adults [OA] n = 2,068), bivariate and multinomial logistic regression estimated differences in use of behavioral support, pharmacotherapy, product substitution, and unassisted quit attempts. Interaction terms estimated age-group differences in relationships between predictors and cessation strategy use. RESULTS Young adults planned to quit on a longer time frame, expressed lower interest in quitting, and were more confident they would be successful, compared with older adults. Young adults were significantly less likely to use pharmacotherapy (adjusted odds ratio: 0.15; confidence interval: 0.09, 0.24; reference: quitting unassisted). Both groups reported using product substitution (YA: 31.6%; OA: 28.5%), primarily with e-cigarettes, more than any evidence-based cessation strategy. Socioeconomic predictors of cessation strategy use did not differ between age groups. CONCLUSIONS More research on why young adult smokers underutilize evidence-based cessation support is needed, as are innovative efforts to increase intentions to quit and utilization of cessation assistance. IMPLICATIONS Young adulthood is a key transition time for tobacco use, and early cessation substantially reduces the risk of morbidity and mortality from smoking. In the context of high e-cigarette and polytobacco use, this study finds young adults have significantly less intention to quit than older adults and are less likely to use evidence-based cessation strategies to help quit. Innovative methods are needed to increase young adult intentions to quit and use of evidence-based cessation assistance.
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Affiliation(s)
- Shannon Lea Watkins
- Center for Tobacco Control Research and Education, University of California–San Francisco, San Francisco, CA
| | - Johannes Thrul
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Wendy Max
- Institute for Health and Aging, University of California–San Francisco, San Francisco, CA
| | - Pamela M Ling
- Center for Tobacco Control Research and Education and Division of General Internal Medicine, Department of Medicine, University of California–San Francisco, San Francisco, CA
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Davidson S, Fletcher S, Wadley G, Reavley N, Gunn J, Wade D. A Mobile Phone App to Improve the Mental Health of Taxi Drivers: Single-Arm Feasibility Trial. JMIR Mhealth Uhealth 2020; 8:e13133. [PMID: 31939743 PMCID: PMC6996768 DOI: 10.2196/13133] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 05/27/2019] [Accepted: 08/19/2019] [Indexed: 12/26/2022] Open
Abstract
Background Psychological distress among taxi drivers is 5 times higher than that in the general population, and more than half of all drivers have experienced 3 or more potentially traumatic events in their lifetime. Nevertheless, help-seeking for mental health problems in this male-dominated, predominately immigrant workforce is low. Mobile technologies have the potential to increase mental health awareness, teach self-help skills, and encourage help-seeking in this hard-to-reach population. Objective This study aimed to assess the feasibility, acceptability, and potential efficacy of Driving to Health, a mobile phone–friendly mental health website app designed for people working as taxi drivers. Methods Drivers (n=46) were recruited from the Melbourne Airport Taxi Holding Yard to participate in a single-arm trial. Self-reported, paper-based assessments were completed at baseline and at 1 month. Feasibility was measured by completion rates, representativeness of study participants, and levels of use. Acceptability was assessed by measuring users’ perception of the quality of the app and anticipated levels of future use. The efficacy of Driving to Health to increase awareness, self-help behaviors, and intentions to seek help was assessed using the user version of the Mobile App Rating Scale (uMARS) and the General Help-Seeking Questionnaire (GHSQ). Psychological symptoms were measured using the short form of the Depression, Anxiety, and Stress Scale (DASS-21). Data were analyzed using complete case analysis. Results In total, 42 participants comprising drivers from 10 different countries of origin, and 14 different languages, completed pre- and poststudy measures (42/46, 91% completion rate). Just under half (45%) of all users used the app more than once with an average visit of 4 min 8 seconds. Responding to the uMARS, 62% (26/42) of the participants said that they would recommend the app to many people. Nearly all (40/42, 95%) participants said that Driving to Health increased awareness of their own mental health; 86% (36/42) said that it increased their mental health knowledge; and 76% (32/42) said that it increased their self-help behaviors. Increases in help-seeking intentions on the GHSQ were not significant, and increases on all 3 scales of DASS-21 were not reliable or meaningful. Conclusions This study suggests that Driving to Health is an acceptable and feasible electronic health intervention for a hard-to-reach population. Our findings also suggest that Driving to Health results in increases in mental health awareness, behaviors, and willingness to seek help.
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Affiliation(s)
- Sandra Davidson
- Department of General Practice, The University of Melbourne, Carlton, Australia
| | - Susan Fletcher
- Department of General Practice, The University of Melbourne, Carlton, Australia
| | - Greg Wadley
- School of Computing and Information Systems, The University of Melbourne, Parkville, Australia
| | - Nicola Reavley
- Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia
| | - Jane Gunn
- Department of General Practice, The University of Melbourne, Carlton, Australia
| | - Darryl Wade
- Centre for Posttraumatic Mental Health, Phoenix Australia, Carlton, Australia.,Department of Psychiatry, University of Melbourne, Parkville, Australia
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Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database Syst Rev 2019; 10:CD006611. [PMID: 31638271 PMCID: PMC6804292 DOI: 10.1002/14651858.cd006611.pub5] [Citation(s) in RCA: 150] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012. OBJECTIVES To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke. SEARCH METHODS For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018. SELECTION CRITERIA Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up. DATA COLLECTION AND ANALYSIS We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only. MAIN RESULTS This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I2 = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I2 = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I2 = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I2 = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I2 = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings. AUTHORS' CONCLUSIONS There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.
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Affiliation(s)
- Robyn Whittaker
- University of AucklandNational Institute for Health InnovationTamaki CampusPrivate Bag 92019AucklandNew Zealand1142
| | - Hayden McRobbie
- University of New South WalesNational Drug and Alcohol Research Centre22‐32 King Street,RandwickSydneyAustralia
| | - Chris Bullen
- University of AucklandNational Institute for Health InnovationTamaki CampusPrivate Bag 92019AucklandNew Zealand1142
| | - Anthony Rodgers
- The George Institute for Public Health321 Kent StreetSydneyAustraliaNSW 2000
| | - Yulong Gu
- Stockton UniversitySchool of Health SciencesGallowayNew JerseyUSA
| | - Rosie Dobson
- University of AucklandNational Institute for Health InnovationTamaki CampusPrivate Bag 92019AucklandNew Zealand1142
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Vilardaga R, Casellas-Pujol E, McClernon JF, Garrison KA. Mobile Applications for the Treatment of Tobacco Use and Dependence. CURRENT ADDICTION REPORTS 2019; 6:86-97. [PMID: 32010548 PMCID: PMC6994183 DOI: 10.1007/s40429-019-00248-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Smoking remains a leading preventable cause of premature death in the world; thus, developing effective and scalable smoking cessation interventions is crucial. This review uses the Obesity-Related Behavioral Intervention Trials (ORBIT) model for early phase development of behavioral interventions to conceptually organize the state of research of mobile applications (apps) for smoking cessation, briefly highlight their technical and theory-based components, and describe available data on efficacy and effectiveness. RECENT FINDINGS Our review suggests that there is a need for more programmatic efforts in the development of mobile applications for smoking cessation, though it is promising that more studies are reporting early phase research such as user-centered design. We identified and described the app features used to implement smoking cessation interventions, and found that the majority of the apps studied used a limited number of mechanisms of intervention delivery, though more effort is needed to link specific app features with clinical outcomes. Similar to earlier reviews, we found that few apps have yet been tested in large well-controlled clinical trials, although progress is being made in reporting transparency with protocol papers and clinical trial registration. SUMMARY ORBIT is an effective model to summarize and guide research on smartphone apps for smoking cessation. Continued improvements in early phase research and app design should accelerate the progress of research in mobile apps for smoking cessation.
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Affiliation(s)
- Roger Vilardaga
- Department of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA
| | - Elisabet Casellas-Pujol
- Department of Psychiatry, Hospital Santa Creu I Sant Pau, Carrer de Sant Quinti, 89, 08041 Barcelona, Spain
| | - Joseph F. McClernon
- Department of Psychiatry and Behavioral Sciences, Duke School of Medicine, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA
| | - Kathleen A. Garrison
- Department of Psychiatry, Yale School of Medicine, 1 Church Street, Suite 730, New Haven, CT 06510, USA
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Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. Eur J Psychotraumatol 2019; 10:1611090. [PMID: 31143412 PMCID: PMC6522973 DOI: 10.1080/20008198.2019.1611090] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 04/01/2019] [Accepted: 04/15/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Prevalence of post-traumatic stress disorder (PTSD) is a problem all over the world. There are high barriers for entry into formal psychotherapy, which results in a lack of mental health care for a significant part of the population. Mobile mental Health (mMHealth) applications (apps) seem to be a promising new development for countering this lack of care, building on the success of mHealth (Mobile Health) apps in general. Unfortunately, the overall quality of such apps stands in high contrast to their number. The aim of this manuscript is to propose a standard for creating PTSD-related mMHealth apps incorporating a process for evaluation and assessment of their usability and impact. Methods: This is done by first defining each step of the process and its relation to the other steps. The steps themselves, divided into those concerned with development, evaluation and implementation, are bound to the established medical and technical norms pertaining to them. Existing protocols from recent literature have been integrated into these steps. Results: As a result, a comprehensive model covering the process of creating, assessing and implementing an mMHealth app from start to finish was developed. The model may be adapted to other disorders or specialized for certain symptoms of PTSD. Conclusion: Adopting such a model could result in a 'blueprint' for creating mMHealth apps in a standardized way, thereby facilitating the testing and comparing of such apps.
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Affiliation(s)
- Julia Schellong
- Department of Psychotherapy and Psychosomatic Medicine, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Patrick Lorenz
- Department of Psychotherapy and Psychosomatic Medicine, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kerstin Weidner
- Department of Psychotherapy and Psychosomatic Medicine, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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Kruse G, Park ER, Shahid NN, Abroms L, Haberer JE, Rigotti NA. Combining Real-Time Ratings With Qualitative Interviews to Develop a Smoking Cessation Text Messaging Program for Primary Care Patients. JMIR Mhealth Uhealth 2019; 7:e11498. [PMID: 30912755 PMCID: PMC6454345 DOI: 10.2196/11498] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 11/15/2018] [Accepted: 11/22/2018] [Indexed: 01/03/2023] Open
Abstract
Background Text messaging (short message service, SMS) interventions show promise as a way to help cigarette smokers quit. Few studies have examined the effectiveness of text messaging (SMS) programs targeting smokers associated with primary care or hospital settings. Objective This study aimed to develop a text messaging (SMS) program targeting primary care smokers. Methods Adult smokers in primary care were recruited from February 2017 to April 2017. We sent patients 10 to 11 draft text messages (SMS) over 2 days and asked them to rate each message in real time. Patients were interviewed daily by telephone to discuss ratings, message preferences, and previous experiences with nicotine replacement therapy (NRT). Content analysis of interviews was directed by a step-wise text messaging (SMS) intervention development process and the Information-Motivation-Behavioral Skills model of medication adherence. Results We sent 149 text messages (SMS) to 15 patients. They replied with ratings for 93% (139/149) of the messages: 134 (96%, 134/139) were rated as clear or useful and 5 (4%, 5/139) as unclear or not useful. Patients’ preferences included the addition of graphics, electronic cigarette (e-cigarette) content, and use of first names. Regarding NRT, patients identified informational gaps around safety and effectiveness, preferred positively framed motivational messages, and needed behavioral skills to dose and dispose of NRT. Conclusions Patients recommended text message (SMS) personalization, inclusion of e-cigarette information and graphics, and identified barriers to NRT use. Combining real-time ratings with telephone interviews is a feasible method for incorporating primary care patients’ preferences into a behavioral text messaging (SMS) program.
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Affiliation(s)
- Gina Kruse
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.,Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States
| | - Elyse R Park
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Naysha N Shahid
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Lorien Abroms
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Jessica E Haberer
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States.,Center for Global Health, Massachusetts General Hospital, Boston, MA, United States
| | - Nancy A Rigotti
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.,Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States
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Struik LL, Bottorff JL, Baskerville NB, Oliffe J, Crichton S. Comparison of Developers' and End-Users' Perspectives About Smoking Cessation Support Through the Crush the Crave App. JMIR Mhealth Uhealth 2019; 7:e10750. [PMID: 30843864 PMCID: PMC6427095 DOI: 10.2196/10750] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 10/15/2018] [Accepted: 10/17/2018] [Indexed: 12/02/2022] Open
Abstract
Background High smoking rates among end-users, combined with their high rates of app use, render this age group as a particularly captive audience for quit smoking apps. There is emerging evidence that apps are an effective way to support smoking cessation among end-users. How the expectations behind the design of apps align with the needs and preferences of end-users, and if this differs by gender, is poorly understood, limiting the ability to evaluate and scale these interventions. Objective The objective of this qualitative case study was to detail how the overall design approach of Crush the Crave (CTC), a quit smoking app that targets end-users, compares with young adult women’s and men’s perspectives and experiences, with consideration for the influence of gender. Methods Semistructured interviews were conducted with 15 developers involved in the development of CTC and 31 young adult CTC users. Data were analyzed inductively to derive thematic findings of the perceived pros and cons of CTC by both developers and end-users. Findings were grouped under 4 categories (1) technology and platforms utilized for the app, (2) foundation of app content, (3) underlying focus of the app, and (4) look, feel and functionality of the app. Results Under the category, technology and platforms utilized for the app, it was found that both developers and end-users agreed that apps aligned with the needs and preferences of young adult smokers. Major limitations with the technology identified by end-users were the frequent “glitches” and requirement for internet or data. For the category, foundation of app content,developers agreed that the strength of CTC was in its strong evidence-base. What mattered to end-users, however, was that the content was packaged positively, focusing on the benefits of quitting versus the consequences of smoking. It was found under the category, underlying focus of the app, that the individually-led focus of the app resonated with both developers and end-users, especially young men. Under the final category, look, feel and functionality of the app, it was found that developers were very positive about the app's aesthetics but end-users thought that the aesthetics incited a negative effect. Also, while end-users found it easy to use, they did not find the app intuitive. Finally, end-users thought that, because the app functions were largely based on a user’s quit date versus their ongoing efforts, this often lent to unmeaningful data. Conclusions The current study findings highlight the importance of understanding multiple perspectives of stakeholders involved in a mobile-based intervention. By gathering the viewpoints of developers and end-users, both problematic and effective approaches that underlie development goals were revealed as a means of informing the development, implementation, and evaluation of future electronic health (eHealth) interventions.
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Affiliation(s)
- Laura Louise Struik
- Propel Centre for Population Health Impact, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Joan L Bottorff
- Institute for Health Living and Chronic Disease Prevention, University of British Columbia, Kelowna, BC, Canada
| | | | - John Oliffe
- School of Nursing, University of British Columbia, Vancouver, BC, Canada
| | - Susan Crichton
- Innovative Learning Centre, Faculty of Education, University of British Columbia, Kelowna, BC, Canada
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Baskerville NB, Struik LL, Guindon GE, Norman CD, Whittaker R, Burns C, Hammond D, Dash D, Brown KS. Effect of a Mobile Phone Intervention on Quitting Smoking in a Young Adult Population of Smokers: Randomized Controlled Trial. JMIR Mhealth Uhealth 2018; 6:e10893. [PMID: 30355563 PMCID: PMC6231795 DOI: 10.2196/10893] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 06/25/2018] [Accepted: 07/12/2018] [Indexed: 01/23/2023] Open
Abstract
Background Digital mobile technology presents a promising medium for reaching young adults with smoking cessation interventions because they are the heaviest users of this technology. Objective The aim of this study was to determine the efficacy of an evidence-informed smartphone app for smoking cessation, Crush the Crave (CTC), on reducing smoking prevalence among young adult smokers in comparison with an evidence-informed self-help guide, On the Road to Quitting (OnRQ). Methods A parallel, double-blind, randomized controlled trial with 2 arms was conducted in Canada to evaluate CTC. In total, 1599 young adult smokers (aged 19 to 29 years) intending to quit smoking in the next 30 days were recruited online and randomized to receive CTC or the control condition OnRQ for a period of 6 months. The primary outcome measure was self-reported continuous abstinence at the 6-month follow-up. Results Overall follow-up rates were 57.41% (918/1599) and 60.48% (967/1599) at 3 and 6 months, respectively. Moreover, 45.34% (725/1599) of participants completed baseline, 3-, and 6-month follow-up. Intention-to-treat analysis (last observation carried forward) showed that continuous abstinence (N=1599) at 6 months was not significantly different at 7.8% (64/820) for CTC versus 9.2% (72/779) for OnRQ (odds ratio; OR 0.83, 95% CI 0.59-1.18). Similarly, 30-day point prevalence abstinence at 6 months was not significantly different at 14.4% (118/820) and 16.9% (132/779) for CTC and OnRQ, respectively (OR 0.82, 95% CI 0.63-1.08). However, these rates of abstinence were favorable compared with unassisted 30-day quit rates of 11.5% among young adults. Secondary measures of quit attempts and the number of cigarettes smoked per day at 6-month follow-up did not reveal any significant differences between groups. For those who completed the 6-month follow-up, 85.1% (359/422) of young adult smokers downloaded CTC as compared with 81.8% (346/423) of OnRQ, χ21(N=845)=1.6, P=.23. Furthermore, OnRQ participants reported significantly higher levels of overall satisfaction (mean 3.3 [SD 1.1] vs mean 2.6 [SD 1.3]; t644=6.87, P<.001), perceived helpfulness (mean 5.8 [SD 2.4] vs mean 4.3 [SD 2.6], t657=8.0, P<.001), and frequency of use (mean 3.6 [SD 1.2] vs mean 3.2 [SD 1.1], t683=5.7, P<.001) compared with CTC participants. Conclusions CTC was feasible for delivering cessation support but was not superior to a self-help guide in helping motivated young adults to quit smoking. CTC will benefit from further formative research to address satisfaction and usage. As smartphone apps may not serve as useful alternatives to printed self-help guides, there is a need to conduct further research to understand how digital mobile technology smoking cessation interventions for smoking cessation can be improved. Trial Registration ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i)
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Affiliation(s)
- Neill Bruce Baskerville
- Propel Centre for Population Health Impact, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
- School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
- School of Pharmacy, Faculty of Science, University of Waterloo, Kitchener, ON, Canada
| | - Laura Louise Struik
- Propel Centre for Population Health Impact, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Godefroy Emmanuel Guindon
- Centre for Health Economics and Policy Analysis, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Cameron D Norman
- Cense Ltd, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Robyn Whittaker
- National Institute of Health Innovation, University of Auckland, Auckland, New Zealand
| | - Catherine Burns
- Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
| | - David Hammond
- School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Darly Dash
- School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - K Stephen Brown
- Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
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Crane D, Ubhi HK, Brown J, West R. Relative effectiveness of a full versus reduced version of the 'Smoke Free' mobile application for smoking cessation: an exploratory randomised controlled trial. F1000Res 2018; 7:1524. [PMID: 30728950 PMCID: PMC6347038 DOI: 10.12688/f1000research.16148.2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2019] [Indexed: 01/08/2023] Open
Abstract
Background: Smartphone applications (apps) are popular aids for smoking cessation. Smoke Free is an app that delivers behaviour change techniques used in effective face-to-face behavioural support programmes. The aim of this study was to assess whether the full version of Smoke Free is more effective than the reduced version. Methods: This was a two-arm exploratory randomised controlled trial. Smokers who downloaded Smoke Free were randomly offered the full or reduced version; 28,112 smokers aged 18+ years who set a quit date were included. The full version provided updates on benefits of abstinence, progress (days smoke free), virtual 'badges' and daily 'missions' with push notifications aimed at preventing and managing cravings. The reduced version did not include the missions. At baseline the app recorded users': device type (iPhone or Android), age, sex, daily cigarette consumption, time to first cigarette of the day, and educational level. The primary outcome was self-reported complete abstinence from the quit date in a 3-month follow-up questionnaire delivered via the app. Analyses conducted included logistic regressions of outcome on to app version (full versus reduced) with adjustment for baseline variables using both intention-to-treat/missing-equals smoking (MES) and follow-up-only (FUO) analyses. Results: The 3-month follow-up rate was 8.5% (n=1,213) for the intervention and 6.5% (n=901) for the control. A total of 234 participants reported not smoking in the intervention versus 124 in the control, representing 1.6% versus 0.9% in the MES analysis and 19.3% versus 13.8% in the FUO analysis. Adjusted odds ratios were 1.90, 95%CI=1.53-2.37 (p<0.001) and 1.50, 95%CI=1.18-1.91 (p<0.001) in the MES and FUO analyses respectively. Conclusions: Despite very low follow-up rates using in-app follow up, both intention-to-treat/missing equals smoking and follow-up only analyses showed the full version of the Smoke Free app to result in higher self-reported 3-month continuous smoking abstinence rates than the reduced version.
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Affiliation(s)
- David Crane
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Harveen Kaur Ubhi
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
- National Centre for Smoking Cessation and Training, Dorchester, DT1 1RD, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
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Crane D, Ubhi HK, Brown J, West R. Relative effectiveness of a full versus reduced version of the 'Smoke Free' mobile application for smoking cessation: a randomised controlled trial. F1000Res 2018; 7:1524. [PMID: 30728950 PMCID: PMC6347038 DOI: 10.12688/f1000research.16148.1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/18/2018] [Indexed: 08/01/2023] Open
Abstract
Background: Smartphone applications (apps) are popular aids for smoking cessation. Smoke Free is an app that delivers behaviour change techniques used in effective face-to-face behavioural support programmes. The aim of this study was to assess whether the full version of Smoke Free is more effective than the reduced version. Methods: This was a two-arm randomised controlled trial. Smokers who downloaded Smoke Free were randomly offered the full or reduced version; 28,112 smokers aged 18+ years who set a quit date were included. The full version provided updates on benefits of abstinence, progress (days smoke free), virtual 'badges' and daily 'missions' with push notifications aimed at preventing and managing cravings. The reduced version did not include the missions. At baseline the app recorded users': device type (iPhone or Android), age, sex, daily cigarette consumption, time to first cigarette of the day, and educational level. The primary outcome was self-reported complete abstinence from the quit date in a 3-month follow-up questionnaire delivered via the app. Analyses conducted included logistic regressions of outcome on to app version (full versus reduced) with adjustment for baseline variables using both intention-to-treat/missing-equals smoking (MES) and follow-up-only (FUO) analyses. Results: The 3-month follow-up rate was 8.5% (n=1,213) for the intervention and 6.5% (n=901) for the control. A total of 234 participants reported not smoking in the intervention versus 124 in the control, representing 1.6% versus 0.9% in the MES analysis and 19.3% versus 13.8% in the FUO analysis. Adjusted odds ratios were 1.90, 95%CI=1.53-2.37 (p<0.001) and 1.50, 95%CI=1.18-1.91 (p<0.001) in the MES and FUO analyses respectively. Conclusions: Despite very low follow-up rates using in-app follow up, both intention-to-treat/missing equals smoking and follow-up only analyses showed the full version of the Smoke Free app to result in higher self-reported 3-month continuous smoking abstinence rates than the reduced version.
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Affiliation(s)
- David Crane
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Harveen Kaur Ubhi
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
- National Centre for Smoking Cessation and Training, Dorchester, DT1 1RD, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
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