scholarly journals Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions (Preprint)

2017 ◽  
Author(s):  
Sahiti Myneni ◽  
Vishnupriya Sridharan ◽  
Nathan Cobb ◽  
Trevor Cohen
Keyword(s):  
Smoking Cessation ◽  
Behavior Change ◽  
Online Communities ◽  
Online Community ◽  
Peer Interactions ◽  
User Engagement ◽  
Specific Behavior ◽  
Behavior Change Techniques ◽  
Active User

BACKGROUND Online communities provide affordable venues for behavior change. However, active user engagement holds the key to the success of these platforms. In order to enhance user engagement and in turn, health outcomes, it is essential to offer targeted interventional and informational support. OBJECTIVE In this paper, we describe a content plus frequency framework to enable the characterization of highly engaged users in online communities and study theoretical techniques employed by these users through analysis of exchanged communication. METHODS We applied the proposed methodology for analysis of peer interactions within QuitNet, an online community for smoking cessation. Firstly, we identified 144 highly engaged users based on communication frequency within QuitNet over a period of 16 years. Secondly, we used the taxonomy of behavior change techniques, text analysis methods from distributional semantics, machine learning, and sentiment analysis to assign theory-driven labels to content. Finally, we extracted content-specific insights from peer interactions (n=159,483 messages) among highly engaged QuitNet users. RESULTS Studying user engagement using our proposed framework led to the definition of 3 user categories—conversation initiators, conversation attractors, and frequent posters. Specific behavior change techniques employed by top tier users (threshold set at top 3) within these 3 user groups were found to be goal setting, social support, rewards and threat, and comparison of outcomes. Engagement-specific trends within sentiment manifestations were also identified. CONCLUSIONS Use of content-inclusive analytics has offered deep insight into specific behavior change techniques employed by highly engaged users within QuitNet. Implications for personalization and active user engagement are discussed.

scholarly journals Adults’ Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study (Preprint)

2019 ◽  
Author(s):  
Ann DeSmet ◽  
Ilse De Bourdeaudhuij ◽  
Sebastien Chastin ◽  
Geert Crombez ◽  
Ralph Maddison ◽  
...  
Keyword(s):  
Behavior Change ◽  
Repeated Measures ◽  
Self Regulation ◽  
Mobile App ◽  
User Preferences ◽  
Movement Behavior ◽  
Survey Study ◽  
User Engagement ◽  
Behavior Change Techniques ◽  
Self Monitoring

BACKGROUND There is a limited understanding of components that should be included in digital interventions for 24-hour movement behaviors (physical activity [PA], sleep, and sedentary behavior [SB]). For intervention effectiveness, user engagement is important. This can be enhanced by a user-centered design to, for example, explore and integrate user preferences for intervention techniques and features. OBJECTIVE This study aimed to examine adult users’ preferences for techniques and features in mobile apps for 24-hour movement behaviors. METHODS A total of 86 participants (mean age 37.4 years [SD 9.2]; 49/86, 57% female) completed a Web-based survey. Behavior change techniques (BCTs) were based on a validated taxonomy v2 by Abraham and Michie, and engagement features were based on a list extracted from the literature. Behavioral data were collected using Fitbit trackers. Correlations, (repeated measures) analysis of variance, and independent sample <italic>t</italic> tests were used to examine associations and differences between and within users by the type of health domain and users’ behavioral intention and adoption. RESULTS Preferences were generally the highest for information on the health consequences of movement behavior self-monitoring, behavioral feedback, insight into healthy lifestyles, and tips and instructions. Although the same ranking was found for techniques across behaviors, preferences were stronger for all but one BCT for PA in comparison to the other two health behaviors. Although techniques fit user preferences for addressing PA well, supplemental techniques may be able to address preferences for sleep and SB in a better manner. In addition to what is commonly included in apps, sleep apps should consider providing tips for sleep. SB apps may wish to include more self-regulation and goal-setting techniques. Few differences were found by users’ intentions or adoption to change a particular behavior. Apps should provide more self-monitoring (<italic>P</italic>=.03), information on behavior health outcome (<italic>P</italic>=.048), and feedback (<italic>P</italic>=.04) and incorporate social support (<italic>P</italic>=.048) to help those who are further removed from healthy sleep. A virtual coach (<italic>P</italic><.001) and video modeling (<italic>P</italic>=.004) may provide appreciated support to those who are physically less active. PA self-monitoring appealed more to those with an intention to change PA (<italic>P</italic>=.03). Social comparison and support features are not high on users’ agenda and may not be needed from an engagement point of view. Engagement features may not be very relevant for user engagement but should be examined in future research with a less reflective method. CONCLUSIONS The findings of this study provide guidance for the design of digital 24-hour movement behavior interventions. As 24-hour movement guidelines are increasingly being adopted in several countries, our study findings are timely to support the design of interventions to meet these guidelines.

Behavior change techniques utilized in Canadian online smoking cessation programs: A content analysis (Preprint)

2021 ◽  
Author(s):  
Laura Struik ◽  
Danielle Rodberg ◽  
Ramona Sharma
Keyword(s):  
Smoking Cessation ◽  
Content Analysis ◽  
Behavior Change ◽  
Evaluation Framework ◽  
Behavior Change Techniques ◽  
Web Based ◽  
Critical Gap ◽  
The Government ◽  
Government Of Canada ◽  
Website Content

BACKGROUND Smoking rates in Canada remain unacceptably high, and cessation rates have stalled in recent years. Online cessation programs, touted for their ability to reach many different populations anytime, have shown promise in their efficacy. The Government of Canada has therefore funded provincial and national smoking cessation websites across the country. However, little is known about the behavior change techniques (BCTs) that underpin the content of these websites, which is key to establishing the quality of the websites, as well as a way forward for evaluation. OBJECTIVE The purpose of this study, therefore, was to apply the BCTTv1 taxonomy to Canadian provincial and federal websites and determine which BCTs they use. METHODS A total of 12 government-funded websites across Canada were included for analysis. Using deductive content analysis, and through training in applying the BCTTv1 taxonomy, the website content was coded according to the 93 BCTs across the 16 BCT categories. RESULTS Of the 16 BCT categories, 14 were present within the websites. The most widely represented BCT categories (used in all 12 websites) included: 1. Goals and planning, 3. Social support, 5. Natural consequences, and 11. Regulation. The most saturated BCT categories (those most heavily used) included: 10. Reward and threat, 12. Antecedents, 1. Goals and planning, and 5. Natural consequences. Implementation of BCTs within these categories varied across the sites. CONCLUSIONS This study addresses a critical gap in knowledge around the behavior change techniques that underpin government-funded smoking cessation websites in Canada. The findings offer programmers and researchers with tangible directions for prioritizing and enhancing provincial and national smoking cessation programs, and an evaluation framework to assess smoking cessation outcomes in relation to the web-based content.

scholarly journals Gamification and Behavior Change Techniques in Diabetes Self-Management Apps

2019 ◽  
Vol 13 (5) ◽  
pp. 954-958 ◽  
Author(s):  
Lilli Priesterroth ◽  
Jennifer Grammes ◽  
Kimberly Holtz ◽  
Anna Reinwarth ◽  
Thomas Kubiak
Keyword(s):  
Behavior Change ◽  
Diabetes Management ◽  
Self Management ◽  
Systematic Research ◽  
User Engagement ◽  
Inclusion Criteria ◽  
Behavior Change Techniques ◽  
Positive Effects ◽  
And Behavior ◽  
App Design

Background: Diabetes management apps may have positive effects on diabetes self-management. It remains unclear, however, which app features are particularly effective and encourage sustained app usage. Behavior change techniques (BCTs) and gamification are promising approaches to improve user engagement. However, little is known about the frequency BCTs and gamification techniques (GTs) are actually used. This app review aims to provide an overview of BCTs and GTs in current diabetes management apps. Methods: Google’s Play Store was searched for applications using a broad search strategy (keyword: “diabetes”). We limited our research to freely available apps. A total of 56 apps matched the inclusion criteria and were reviewed in terms of the features they offer to support self-management. We used a taxonomy comprising 29 BCTs and 17 GTs to evaluate the applications. Two independent raters tested and evaluated each app. Results: Interrater agreement was high (ICC = .75 for BCTs; ICC = .90 for GTs). An average of 7.4 BCTs (SD = 3.1) and an average of 1.4 out of 17 GTs (SD = 1.6) were implemented in each app. Five out of 29 BCTs accounted for 55.8% of the BCTs identified in total. The GT most often identified was “feedback” and accounted for 50% of the GTs. Conclusions: The potential of BCTs and GTs in diabetes management apps has not been fully exploited yet. Only very restricted sets of BCTs and gamification features were implemented. Systematic research on the efficacy of specific BCTs and GTs is needed to provide further guidance for app design.

scholarly journals Transitions Between Electronic and Combustible Cigarettes: A Mixed Methods Analysis of Peer Interactions in an Online Community for Tobacco Cessation

2021 ◽  
Author(s):  
Tavleen Singh ◽  
Nathan Cobb ◽  
Trevor Cohen ◽  
Sahiti Myneni
Keyword(s):  
Behavior Change ◽  
Health Beliefs ◽  
Online Community ◽  
Peer Interactions ◽  
Qualitative Inquiry ◽  
Health Concern ◽  
Online Social Media ◽  
Behavior Change Interventions ◽  
Switching Patterns ◽  
Use Stage

The growing popularity of e-cigarettes is a public health concern. There is an emerging need to understand the pathways between electronic and combustible modes due to the specialized nature of risks associated with each transition. Online social media has become the most dominant knowledge space for these evolving behaviors, and as such, can provide unique opportunities for modeling switching patterns. In this paper, we describe the utility of online peer interactions using qualitative inquiry and network visualizations using 500 messages to characterize (a) transition pathways and (b) psychosocial attributes as individuals contemplate and act on such transitions. Our results indicate that the E2A pathway is the most prevalent in e-cigarette-related transitions, where most of the individuals are in the “active e-cig use” stage. Perceived benefits and barriers are the most commonly held health beliefs, while counterconditioning and stimulus control behavior change processes are frequently manifested. Such insights can help in the design of personalized pathway-specific behavior change interventions.

scholarly journals Konseling Fitri: Model Konseling Berbasis Juz Qurani

2018 ◽  
Vol 2 (1) ◽  
pp. 69-86
Author(s):  
Lutfi Fauzan
Keyword(s):  
Behavior Change ◽  
Personality Types ◽  
Main Stage ◽  
Human Being ◽  
Scientific Content ◽  
Specific Behavior ◽  
Behavior Change Techniques ◽  
Human Personality ◽  
Counseling Model

FITRI COUNSELING: JUZ QURANIC-BASED ON COUNSELING MODEL. Al-Qur’an as holly book that has scientific content can be revealed about human being with all their potencies and their differencies individual characters. The revealing scientific treasure is approached by Bayani method, Irfani, Burhani and HAQ mehod. The result shows that human has five natural (fitri) potencies, and has individual differencies, they are 30 personality types as like as quantity of Al-Qur'an juz. Developing human personality should be applied based on the character difference. Therefore, the juz qurani-based on idea and counseling model was made. The counseling model has five main stage and some specific behavior change techniques.

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