scholarly journals Investigating the Self-Efficacy and Motivation to Quit of Smokers Trying to Quit: An Assessment of Smoking Cessation Mobile Apps (Preprint)

10.2196/25030 ◽  
2020 ◽  
Author(s):  
Nikita B Rajani ◽  
Nikolaos Mastellos ◽  
Filippos T Filippidis
Keyword(s):  
Smoking Cessation ◽  
Self Efficacy ◽  
Mobile Apps ◽  
The Self ◽  
Motivation To Quit

scholarly journals Impact of Gamification on the Self-Efficacy and Motivation to Quit of Smokers: An Observational Study of Two Gamified Smoking Cessation Mobile Apps (Preprint)

2021 ◽  
Author(s):  
Nikita B Rajani ◽  
Nikolaos Mastellos ◽  
Filippos T Filippidis
Keyword(s):  
Smoking Cessation ◽  
Self Efficacy ◽  
Mobile Apps ◽  
Mobile App ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
The Self ◽  
Positive Effects ◽  
Motivation To Quit ◽  
The Impact

BACKGROUND Both the number of smokers making quit attempts and the number of smokers successfully quitting has been falling over the past years. Past studies have shown that smokers with high self-efficacy and motivation to quit have an increased likelihood of quitting and staying quit. Consequently, further research on strategies which can improve the self-efficacy and motivation of smokers seeking to quit could lead to substantially higher cessation rates. Some studies have found that gamification can positively impact cognitive components of behavioural change, including self-efficacy and motivation. However, the impact of gamification in the context of smoking cessation and mobile health has been sparsely investigated. OBJECTIVE The study aims to examine the association between perceived usefulness, perceived ease of use and frequency of use of gamification features embedded in smoking cessation apps on the self-efficacy and motivation to quit of smokers. METHODS Participants were assigned to use one of two mobile apps for a duration of four weeks. Online questionnaires were provided to participants before app usage, two weeks after and four weeks after they started using the app. Gamification was quantitatively operationalized based on Cugelman’s gamification framework and concepts from the technology acceptance model. Mean values of perceived frequency, ease of use and usefulness of gamification features were calculated at mid-study and end-study. Two linear regression models were performed to investigate the impact of gamification on self-efficacy and motivation to quit. RESULTS 116 participants completed the study. Mean self-efficacy increased from 37.38 to 42.47 points and motivation to quit increased from 5.94 to 6.32 points after app usage. “Goal setting” was perceived to be the most useful gamification feature whilst “sharing” was perceived to be the least useful. Participants self-reported that they used the progress dashboards the most often whilst the sharing feature the least often. Average perceived frequency of gamification features was statistically significantly associated with change in self-efficacy (β=3.35, 95% CI: 0.31 to 6.40) and change in motivation to quit (β=0.54, 95% CI: 0.15 to 0.94) between baseline and end-study. CONCLUSIONS Gamification embedded into mobile apps can have positive effects on the self-efficacy and motivation to quit of smokers. The findings of the study can provide important insights for tobacco control policy makers, mobile app developers and smokers seeking to quit.

scholarly journals Investigating the Self-Efficacy and Motivation to Quit of Smokers Trying to Quit: An Evaluation of Smoking Cessation Mobile Apps (Preprint)

2020 ◽  
Author(s):  
Nikita B Rajani ◽  
Nikolaos Mastellos ◽  
Filippos T Filippidis
Keyword(s):  
Smoking Cessation ◽  
Self Efficacy ◽  
Mobile Apps ◽  
Treatment Options ◽  
The Self ◽  
Linear Regression Models ◽  
Face To Face ◽  
Quit Attempts ◽  
Motivation To Quit ◽  
Before And After

BACKGROUND Falling trends in the number of individuals accessing face-to-face support leaves a significant gap in treatment options for smokers seeking to quit. Face-to-face behavioural support interventions try to target the self-efficacy and motivation to quit of smokers, as these factors are associated with increased likelihood of making quit attempts and successfully quitting. OBJECTIVE Our study aims to better understand smoking cessation mobile applications by investigating if they can impact smokers’ self-efficacy and motivation to quit. Our aim is to evaluate self-efficacy and motivation to quit levels of smokers before and after the usage of smoking cessation mobile apps. METHODS Smokers seeking to quit were recruited to participate in a four-week online study. After screening, eligible participants were assigned to a mobile application (Kwit or Quit Genius). The smoking self-efficacy questionnaire and the motivation to stop smoking scale were used to measure self-efficacy and motivation to quit respectively. Both were assessed at baseline, mid-study (2 weeks) and end-study (4 weeks). Paired sample t-tests investigated differences between study timepoints, and linear regression models investigated associations with change in self-efficacy and motivation to quit between baseline and end-study. RESULTS 116 participants completed the study, with the majority being male (61%), highly employed (66%) and highly educated (75%). A large proportion of participants had low-moderate dependence on nicotine (92%). A statistically significant increase of 5.09 points (95%CI: 1.83 to 8.34) from 37.38 points at baseline in self-efficacy was found at end-study. Similarly, a statistically significant increase of 0.38 points (95%CI: 0.06 to 0.70) from 5.94 points at baseline in motivation to quit was found at end-study. Gender, age and nicotine dependence were not statistically significantly associated with change in self-efficacy and motivation to quit. CONCLUSIONS The assessed mobile apps positively impacted the self-efficacy and motivation to quit of smokers making quit attempts. This has important implications on possible future use of digitalised interventions. However, further research is needed to assess whether digital interventions could supplement or replace traditional forms of therapy.

Self-efficacy and motivation to quit during participation in a smoking cessation program

2005 ◽  
Vol 12 (4) ◽  
pp. 266-272 ◽  
Author(s):  
Thuy Boardman ◽  
Delwyn Catley ◽  
Matthew S. Mayo ◽  
Jasjit S. Ahluwalia
Keyword(s):  
Smoking Cessation ◽  
Self Efficacy ◽  
Smoking Cessation Program ◽  
Motivation To Quit

scholarly journals Efficacy of an Internet-based, individually tailored smoking cessation program: A randomized-controlled trial

2016 ◽  
Vol 23 (5) ◽  
pp. 521-528 ◽  
Author(s):  
Céline Mavrot ◽  
Iris Stucki ◽  
Fritz Sager ◽  
Jean-François Etter
Keyword(s):  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Self Efficacy ◽  
Controlled Trial ◽  
Control Group ◽  
Randomized Controlled ◽  
Motivation To Quit ◽  
Computer Based ◽  
E Mail ◽  
Tailored Program

Introduction Self-help computer-based programs are easily accessible and cost-effective interventions with a great recruitment potential. However, each program is different and results of meta-analyses may not apply to each new program; therefore, evaluations of new programs are warranted. The aim of this study was to assess the marginal efficacy of a computer-based, individually tailored program (the Coach) over and above the use of a comprehensive Internet smoking cessation website. Methods A two-group randomized controlled trial was conducted. The control group only accessed the website, whereas the intervention group received the Coach in addition. Follow-up was conducted by e-mail after three and six months (self-administrated questionnaires). Of 1120 participants, 579 (51.7%) responded after three months and 436 (38.9%) after six months. The primary outcome was self-reported smoking abstinence over four weeks. Results Counting dropouts as smokers, there were no statistically significant differences between intervention and control groups in smoking cessation rates after three months (20.2% vs. 17.5%, p = 0.25, odds ratio (OR) = 1.20) and six months (17% vs. 15.5%, p = 0.52, OR = 1.12). Excluding dropouts from the analysis, there were statistically significant differences after three months (42% vs. 31.6%, p = 0.01, OR = 1.57), but not after six months (46.1% vs. 37.8%, p = 0.081, OR = 1.41). The program also significantly increased motivation to quit after three months and self-efficacy after three and six months. Discussion An individually tailored program delivered via the Internet and by e-mail in addition to a smoking cessation website did not significantly increase smoking cessation rates, but it increased motivation to quit and self-efficacy.

scholarly journals Improving the Academic Self-Efficacy of Students Using Mobile Educational Apps in Virtual Learning: A Review

2021 ◽  
Vol 15 (06) ◽  
pp. 149
Author(s):  
Azham Hussain ◽  
Emmanuel O.C Mkpojiogu ◽  
Celestina Chinenye Ezekwudo
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Self Efficacy ◽  
Mobile Apps ◽  
Self Esteem ◽  
The Self ◽  
Systematic Review Methodology ◽  
Inferiority Complex ◽  
Academic Self Efficacy

<p>There are several literatures pertaining to the self-efficacy of student, and educational mobile apps, but no work has been done yet on the improving the academic self-efficacy of students using mobile educational apps. This study therefore employed systematic review methodology to ascertain the factors necessary to be considered while using educational mobile apps in order to improve the academic self-efficacy of students. Hence, this paper attempts to review available literatures with the aim of capturing means of improving the academic self-efficacy of students using mobile educational apps. To achieve the stated research objective, the study applied systematic literature review methodology. Fifty (50) papers relating to academic self-efficacy of students using mobile educational apps were downloaded. Out of these papers, nineteen (19) most relevant studies were selected for review in order to extract the appropriate information needed for the analysis. The results from the review revealed that the major causes of students’ low academic self-efficacy are: lack of confidence with 22.73% and others include: low self-esteem (21.05%) and inferiority complex (10.53%). Also the review was able to show the three most important factors necessary for improving the academic self-efficacy of students using mobile educational apps included: teachers’ message (21.05%) and success and failure of others (15.79%).</p>

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

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