RESUMEN
Background: An increasing number of people are using vapes (e-cigarettes), and with growing evidence of associated harms, there is a need for acceptable cessation support and interventions. Smartphone apps for health and well-being have increased in popularity and use. Limited published literature assesses the potential of apps to support vaping cessation. Objective: A systematic search of vaping cessation apps currently available in Australia for iOS and Android platforms was conducted. Apps were assessed against established health app assessment tools for quality and behavior change potential. Methods: A systematic search through the Australian Apple iTunes and Google Play stores was conducted using the search terms "vape"; "vaping"; "e-cigarette"; and "cessation," "quit," or "quitting" in May 2023. Only apps that encouraged the cessation of vaping were included. App descriptions were reviewed to determine if they were relevant for inclusion in this study, and relevant apps were downloaded onto the appropriate mobile device for review. The Mobile App Rating Scale (MARS) was used to rate the quality (engagement, functionality, aesthetics, and information) of the apps using an overall score out of 5. The App Behavior Change Scale (ABACUS) was used to assess the behavior change potential of each app using a score out of 21. Results: An initial search of the app stores yielded 220 Android apps and 124 iOS apps. Screening against the inclusion criteria left 20 iOS apps and 10 Android apps for review. Six apps were available on both operating systems, and these were downloaded, reviewed, and reported separately for each operating system. The average MARS score for all apps assessed in this review was 3.1 (SD 0.41) out of 5. The reviewed apps overall performed well for the MARS elements relating to functionality, such as ease of use and navigation, but had the lowest scores for information-related elements, such as credibility. The number of ABACUS behavior change features per app ranged from 0 to 19 out of 21, with a mean of 8.9 (SD 4.51). The apps commonly included information-related features, such as requesting baseline information. The least common behavior change features were those relating to goal-setting, such as asking about the user's willingness for behavior change and providing feedback on current actions in comparison to future goals. Conclusions: The identified vaping cessation apps had moderate levels of quality and some behavior change components. Future vaping cessation apps could benefit from including more features that are known to support behavior change, such as goal-setting, to improve the potential benefit of these apps to support people to stop vaping. As guidelines for vaping cessation continue to be established, future apps need to reference these in their development.
Asunto(s)
Aplicaciones Móviles , Vapeo , Humanos , Aplicaciones Móviles/normas , Aplicaciones Móviles/estadística & datos numéricos , Aplicaciones Móviles/tendencias , Vapeo/psicología , Vapeo/tendencias , Australia , Cese del Hábito de Fumar/métodos , Cese del Hábito de Fumar/psicologíaRESUMEN
OBJECTIVE: To examine e-cigarette use by adults who smoke or have recently quit, and demographic characteristics associated with their use; to assess reasons for using e-cigarettes. DESIGN: The Cancer Institute NSW Tobacco Tracking Survey (CITTS) is an ongoing, serial, cross-sectional telephone survey study (40 interviews each week). This report is based on interviews during 4 January 2016 - 31 December 2020. SETTING, PARTICIPANTS: Randomly selected New South Wales adults who are current smokers (smoked cigarettes, pipes, or other tobacco products daily, weekly, or less often) or recent quitters (smoked tobacco products in the past twelve months but who no longer smoked). MAIN OUTCOMES: E-cigarette use by age group; reasons for using e-cigarettes. RESULTS: CITTS callers rang 1 494 233 randomly selected numbers; in 203 203 answered calls (13.6%), 11 125 people were eligible for the survey (5.5% of answered calls), of whom 10 004 completed the survey interview, including the question about whether they used e-cigarettes (89.9%). Overall e-cigarette use increased from 6.6% of respondents in 2016 to 13.0% in 2020 (adjusted odds ratio, 1.86; 95% confidence interval [CI], 1.47-2.36). The proportion of respondents aged 18-24 years who reported e-cigarette use increased from 18.4% (95% CI, 12.9-23.9%) in 2018 to 27.2% (95% CI, 20.5-33.9%) in 2020, a larger proportion than for any other age group. The leading reasons offered for e-cigarette use were "to help me quit smoking" (33%; 95% CI, 30-37%) and "to cut down on the number of cigarettes I smoke" (25%; 95% CI, 22-28%). CONCLUSION: The increase between 2016 and 2020 in the proportions of young adults who smoke or have recently quit who use e-cigarettes undermines claims that these products are designed for older smokers who have struggled to quit using other methods.
Asunto(s)
Sistemas Electrónicos de Liberación de Nicotina , Cese del Hábito de Fumar , Vapeo , Adulto Joven , Humanos , Cese del Hábito de Fumar/métodos , Nueva Gales del Sur , Estudios TransversalesRESUMEN
Introduction: Smoking rates remain higher for people with a mental health condition compared to the general population and contribute to greater chronic disease burden and premature mortality. Quitline services offer telephone-based smoking cessation support to the public and have been shown to be effective. There is limited research exploring the characteristics of smokers with a mental health condition who use the Quitline or the impacts of using the service on their smoking behaviors. Methods: This observational study aimed to compare demographic and smoking related characteristics, service use and quit attempts of callers to the New South Wales Quitline (2016-2018) with and without a mental health condition (N = 4,219). Results: At baseline, 40% of callers reported a current mental health condition. Desire to quit smoking was similar for both groups, however participants with a mental health condition had higher nicotine dependency and had made more quit attempts prior to engaging with the service. During program enrolment, quit attempts and 24 hours smoke free periods were similar, however participants with a mental health condition engaged in a greater number of calls and over a longer period with Quitline compared to those without. Discussion: The findings suggest Quitline efficacy for people with a mental health condition in making a quit attempt for at least 24 h. Increasing the use of Quitline services and understanding service use for this critical group of smokers will increase the likelihood that their quit attempts are transformed into sustained periods of smoking abstinence. Future research should explore whether tailoring of Quitline service provision for people with mental health conditions may increase the likelihood of quit success.