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 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 Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

scholarly journals Colorectal cancer screening in Uruguay: current assessment and roadmap for the future

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Micaela Reich ◽  
Lydia P. Buki
Keyword(s):  
Colorectal Cancer ◽  
Health Literacy ◽  
Cancer Screening ◽  
Systems Theory ◽  
Colorectal Cancer Screening ◽  
Health Beliefs ◽  
Ecological Systems ◽  
Ecological Systems Theory ◽  
Health Concern ◽  
Future Research

AbstractCancer is a leading cause of death worldwide and is expected to remain a public health concern for years to come. Within Latin America, Uruguay has the highest colorectal cancer rates. Heeding past calls to action, in this article we provide a critical assessment of colorectal cancer needs and opportunities in Uruguay with a focus on developing a roadmap for future action. First, we provide an overview of risk factors, screening procedures and guidelines, and screening rates. Next, we provide an overview of psychosocial factors that influence colorectal cancer screening, with the goal of providing guidance for future behavioral health promotion initiatives in Uruguay. In this effort, we present four conceptual models that may be used for interventions: the ecological systems theory, informed decision-making, the health beliefs model, and the health literacy model. Subsequently, we propose using an integrated model based on the ecological systems theory and health literacy model to develop national, local, and community-based interventions to increase screening rates and lower the colorectal cancer burden in Uruguay. We close the paper with a summary and implications section, including recommendations for future research programs focused on the assessment of factors that influence screening.

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

2021 ◽  
Author(s):  
Ana Paula Delgado Bomtempo Batalha ◽  
Isabela Coelho Ponciano ◽  
Gabriela Chaves ◽  
Diogo Carvalho Felício ◽  
Raquel Rodrigues Britto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Behavior Change ◽  
Self Management ◽  
Behavior Change Interventions

A Scoping Review of Behavior Change Interventions to Decrease Health Care Disparities for Patients With Disabilities in a Primary Care Setting: Can Social Marketing Play a Role?

2021 ◽  
Vol 27 (1) ◽  
pp. 48-63
Author(s):  
Angela Makris ◽  
Mahmooda Khaliq ◽  
Elizabeth Perkins
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Behavior Change ◽  
Social Marketing ◽  
Health Care Disparities ◽  
Social Model ◽  
Care Providers ◽  
Social Model Of Disability ◽  
Behavior Change Interventions ◽  
The Social

Background: One in four Americans have a disability but remain an overlooked minority population at risk for health care disparities. Adults with disabilities can be high users of primary care but often face unmet needs and poor-quality care. Providers lack training, knowledge and have biased practices and behaviors toward people with disabilities (PWD); which ultimately undermines their quality of care. Focus of the Article: The aim is to identify behavior change interventions for decreasing health care disparities for people with disabilities in a healthcare setting, determine whether those interventions used key features of social marketing and identify gaps in research and practice. Research Question: To what extent has the social marketing framework been used to improve health care for PWD by influencing the behavior of health care providers in a primary health care setting? Program Design/Approach: Scoping Review. Importance to the Social Marketing Field: Social marketing has a long and robust history in health education and public health promotion, yet limited work has been done in the disabilities sector. The social marketing framework encompasses the appropriate features to aligned with the core principles of the social model of disability, which espouses that the barriers for PWD lie within society and not within the individual. Incorporating elements of the social model of disability into the social marketing framework could foster a better understanding of the separation of impairment and disability in the healthcare sector and open a new area of research for the field. Results: Four articles were found that target primary care providers. Overall, the studies aimed to increase knowledge, mostly for clinically practices and processes, not clinical behavior change. None were designed to capture if initial knowledge gains led to changes in behavior toward PWD. Recommendations: The lack of published research provides an opportunity to investigate both the applicability and efficacy of social marketing in reducing health care disparities for PWD in a primary care setting. Integrating the social model of disability into the social marketing framework may be an avenue to inform future interventions aimed to increase health equity and inclusiveness through behavior change interventions at a systems level.

scholarly journals Catalyzing sustainable fisheries management through behavior change interventions

2020 ◽  
Vol 34 (5) ◽  
pp. 1176-1189 ◽  
Author(s):  
Gavin McDonald ◽  
Molly Wilson ◽  
Diogo Veríssimo ◽  
Rebecca Twohey ◽  
Michaela Clemence ◽  
...  
Keyword(s):  
Behavior Change ◽  
Fisheries Management ◽  
Sustainable Fisheries ◽  
Behavior Change Interventions

scholarly journals Building Community in the HIV Online Intervention Space: Lessons From the HealthMPowerment Intervention

2021 ◽  
pp. 109019812110038
Author(s):  
Natalie A. Blackburn ◽  
Willa Dong ◽  
Megan Threats ◽  
Megan Barry ◽  
Sara LeGrand ◽  
...  
Keyword(s):  
Behavior Change ◽  
Online Community ◽  
Controlled Trial ◽  
Structuration Theory ◽  
Online Intervention ◽  
Anal Intercourse ◽  
Conversational Analysis ◽  
Staff Members ◽  
Future Design ◽  
Condomless Anal Intercourse

Background Mobile health platforms can facilitate social support and address HIV (human immunodeficiency virus) stigma but pose challenges for intervention design and participant engagement. Giddens’s structuration theory, that individuals are shaped by—and shape—their communities through rules and resources that give them power to operate within these environments, provides a useful analytic framework for exploring these dynamic intervention spaces. Method Data were drawn from an online randomized controlled trial intervention (HealthMpowerment) for young Black men who have sex with men to reduce condomless anal intercourse. We applied a conversational analysis informed by structuration theory to 65 user-generated conversations that included stigma content. We aimed to understand how the interdependent relationship between the intervention space and participants’ contributions might contribute to behavior change. Results Thirty five intervention participants contributed to the analyzed conversations. Our analysis identified three types of conversational processes that may underlie behavior change: (1) Through intervention engagement, participants established norms and expectations that shaped their discussions; (2) participants used anecdotes and anonymity to reinforce norms; and (3) intervention staff members sought to improve engagement and build knowledge by initiating discussions and correcting misinformation, thus playing an integral role in the online community. Conclusions The lens of structuration theory usefully reveals potential behavior change mechanisms within the social interactions of an online intervention. Future design of these interventions to address HIV stigma should explicitly characterize the context in which individuals (study staff and participants) engage with one another in order to assess whether these processes are associated with improved intervention outcomes.

Training commercial energy users in behavior change: A case study

2020 ◽  
Author(s):  
Sea Rotmann ◽  
Beth Karlin
Keyword(s):  
Behavior Change ◽  
Behavioral Interventions ◽  
Professional Training ◽  
Energy Use ◽  
Behavioral Science ◽  
Research Process ◽  
Commercial Sector ◽  
Great Opportunity ◽  
Behavior Change Interventions ◽  
Commercial Energy

Within the commercial sector, energy managers and building operators have a large impact over their organizations’ energy use. However, they mostly focus on technology solutions and retrofits, rather than human or corporate behaviors, and how to change them. This gap in targeted commercial sector research and behavioral interventions provides a great opportunity which is currently not being addressed. This paper presents a field research pilot where an empirical behavior change research process was applied and taught to commercial energy users in Ontario, Canada. This course served to fill an identified market gap and to improve commercial energy managers’ literacy in behavioral science theory and techniques. A needs assessment identified a clear gap in behavioral training for energy managers, and high interest in the course further proved out the market opportunity for professional training on how to design, implement and evaluate behavior change interventions. Evaluation results identified positive feedback in terms of course reaction, self-reported learning and behavioral outcomes, and tangible results when course participants returned to work to apply their learnings. Evaluation results suggest that such training fills a vital gap in the current Strategic Energy Management (SEM) landscape, and could unlock significant savings in the commercial energy sector.

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