scholarly journals Identifying Behavior Change Techniques Used in Tobacco Cessation Interventions by Oral Health Professionals and Their Relation to Intervention Effects—A Review of the Scientific Literature

Author(s):  
Ibtisam Moafa ◽  
Ciska Hoving ◽  
Bart van den Borne ◽  
Mohammed Jafer

This review aimed to identify the behavioral change techniques (BCTs) used in behavioral interventions for tobacco cessation at dental practices in relation to their effect on tobacco use. Six scientific databases were searched for behavior change interventions for tobacco cessation and were coded using the BCT taxonomy of behavioral support for smoking cessation (BCTTsm). Fifteen interventions were identified, and data related to intervention characteristics were abstracted. Sixteen BCTs were identified, mainly related to increased motivation and teaching regulatory skills. Goal setting was the most commonly used BCT. Ten out of fifteen interventions effectively impacted tobacco cessation outcomes (OR = 2 to 5.25). Effective interventions more frequently included goal setting, written materials, readiness to quit and ability assessment, tobacco-use assessment, self-efficacy boost, listing reasons for quitting, action planning and environment restructuring. Other BCTs were not clearly associated with an increased effect. Among the behavioral interventions, certain techniques were associated with successful tobacco quitting. Tobacco cessation interventions in a dental setting appear to benefit from using BCTs that increase motivation and teach regulatory skills. The identified BCTs in this review could provide a source to better inform researchers and dentists about the active ingredients in behavior change interventions for tobacco cessation in a dental setting.

2018 ◽  
Vol 46 (2) ◽  
pp. 312-321 ◽  
Author(s):  
Meghan M. JaKa ◽  
Simone A. French ◽  
Julian Wolfson ◽  
Robert W. Jeffery ◽  
Fabianna Lorencatto ◽  
...  

Background. Behavioral interventions to prevent pediatric obesity have shown inconsistent results across the field. Studying what happens within the “black box” of these interventions and how differences in implementation lead to different outcomes will help researchers develop more effective interventions. Aim. To compare the implementation of three features of a phone-based intervention for parents (time spent discussing weight-related behaviors, behavior change techniques used in sessions, and intervention activities implemented by parents between sessions) with study outcomes. Methods. A random selection of 100 parent–child dyads in the intervention arm of a phone-based obesity prevention trial was included in this analysis. Sessions were coded for overall session length, length of time spent discussing specific weight-related behaviors, number of behavior change techniques used during the sessions, and number of intervention-recommended activities implemented by the parents between sessions (e.g., parent-reported implementation of behavioral practice/rehearsal between sessions). The primary study outcome, prevention of unhealthy increase in child body mass index (BMI) percentile, was measured at baseline and 12 months. Results. Overall session length was associated with decreases in child BMI percentile ( b = −0.02, p = .01). There was no association between the number of behavior change techniques used in the sessions and decreases in child BMI percentile ( b = −0.29, p = .27). The number of activities the parents reported implementing between sessions was associated with decreases in child BMI percentile ( b = −1.25, p = .02). Discussion. To improve future interventions, greater attention should be paid to the intended and delivered session length, and efforts should be made to facilitate parents’ implementation of intervention-recommended activities between sessions (ClinicalTrials.gov, No. NCT01084590).


2020 ◽  
Author(s):  
Sea Rotmann ◽  
Beth Karlin

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.


2017 ◽  
Vol 13 (6) ◽  
pp. 615-618 ◽  
Author(s):  
Ryan R. Bailey

Health behavior change is challenging for most individuals, but there are many strategies that individuals can use to facilitate their behavior change efforts. Goal setting is one such strategy that assists individuals to identify specific behaviors to change and how to go about doing so. For many, however, simply setting a goal seldom leads to actual behavior change. For some, identifying an appropriate goal is difficult, while for others, putting goals into action is the roadblock. Two strategies may be of assistance for setting and achieving goals. First, consideration of key goal characteristics (eg, approach vs avoidance goals, performance vs mastery goals, level of difficulty) may result in selection of more appropriate and feasible goals. Second, action planning can help individuals put goals into action. Clinicians can help patients utilize these strategies to set and achieve goals for health behavior change.


Author(s):  
Cayla M. O’Hair, BA ◽  
Kathryn Armstrong, MA, LMT ◽  
Helena J.V. Rutherford, PhD

Background: A significant number of women continue to smoke tobacco during pregnancy despite the increased risk of complications to fetal and infant development. Therefore, effective interventions are needed to assist pregnant women with the process of tobacco cessation. Traditional counseling programs have demonstrated some success; however, novel approaches that target stressas a mechanism in the maintenance of addiction would be valuable.Objective: To examine the role of stress in addiction and the utility of massage therapy to decrease stress during pregnancy.Conclusion: Preliminary evidence suggests massage therapy may be beneficial to decreasing tobacco use, and research in pregnant populations is needed.


2011 ◽  
Vol 5 (1) ◽  
pp. 15-18 ◽  
Author(s):  
Varun Gupta ◽  
Anmol Mathur ◽  
Amit Tirth ◽  
TL Ravishankar ◽  
Pradeep S. Tangade

ABSTRACT Objective To compare dental students’, Interns’, and Practicing Dentist's attitude towards tobacco cessation promotion in dental setting. Methods The study was conducted on BDS 3rd year students, Interns and practicing dentists of Moradabad city. A 23-item written survey was administered to all the participants. Questions focused on dental students’, Interns’, and practicing dentist's attitude towards the dental professional's responsibilities and scope of practice in promotion of tobacco cessation. Results Response rate was more than 90 percent (199/220). Respondents were 52 percent males and 48 percent females. There were 47 percent dental students, 32 percent interns and 21 percent doctors. Eighty-four percent agreed that it is within the scope of dental practice to advise patients to quit using tobacco and 82 percent agreed that tobacco cessation counseling in the dental office could impact patient's quitting. Nearly one-fifth (18 percent) were slightly or not interested in receiving tobacco cessation training. Conclusion Attitudes of the participants appear to be positive regarding the dental professional's responsibility to educate patients about the risk of tobacco use. However, some have reservations about the extent to which tobacco cessation services fit within the scope of dental practice, the efficiency of such services and the patient receptiveness.


2017 ◽  
Author(s):  
Sheik Mohammad Roushdat Ally Elaheebocus ◽  
Mark Weal ◽  
Leanne Morrison ◽  
Lucy Yardley

BACKGROUND Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear design principles to describe and guide the use of these features in behavioral interventions limits cross-study comparisons of their uses and effects. OBJECTIVE The aim of this study was to provide a systematic review of DBCIs targeting modifiable behavioral risk factors that have included social media features as part of their intervention infrastructure. A taxonomy of social media features is presented to inform the development, description, and evaluation of behavioral interventions. METHODS Search terms were used in 8 databases to identify DBCIs that incorporated social media features and targeted tobacco smoking, diet and nutrition, physical activities, or alcohol consumption. The screening and review process was performed by 2 independent researchers. RESULTS A total of 5264 articles were screened, and 143 articles describing a total of 134 studies were retained for full review. The majority of studies (70%) reported positive outcomes, followed by 28% finding no effects with regard to their respective objectives and hypothesis, and 2% of the studies found that their interventions had negative outcomes. Few studies reported on the association between the inclusion of social media features and intervention effect. A taxonomy of social media features used in behavioral interventions has been presented with 36 social media features organized under 7 high-level categories. The taxonomy has been used to guide the analysis of this review. CONCLUSIONS Although social media features are commonly included in DBCIs, there is an acute lack of information with respect to their effect on outcomes and a lack of clear guidance to inform the selection process based on the features’ suitability for the different behaviors. The proposed taxonomy along with the set of recommendations included in this review will support future research aimed at isolating and reporting the effects of social media features on DBCIs, cross-study comparisons, and evaluations.


2020 ◽  
Vol 10 (3) ◽  
pp. 555-564
Author(s):  
Patricia M Smith ◽  
Lisa D Seamark ◽  
Katie Beck

Abstract Integrating tobacco cessation interventions into substance use disorder (SUD) programs is recommended, yet few are implemented into practice. This translational research implementation study was designed to integrate an evidence-based tobacco cessation intervention into a 2-week hospital outpatient SUD program that served a rural municipality and 33 remote Indigenous communities. Objectives included determining tobacco use prevalence, intervention uptake, and staffing resources required for intervention delivery. A series of 1-hr tobacco and health/well-being interactive education and behavior-change groups were developed for the SUD program to create a central access point to offer an evidence-based, intensive tobacco cessation intervention that included an initial counseling/planning session and nine post-SUD treatment follow-ups (weekly month 1; biweekly month 2; and 3, 6, and 12 months). Group sign-in data included age, gender, community, tobacco use, and interest in receiving tobacco cessation help. Thirty-two groups (April 2018 to February 2019) were attended by 105 people from 22 communities—56% were female, mean age = 30.9 (±7.3; 93% <45 years), 86% smoked, and 38% enrolled in the intensive tobacco cessation intervention. The age-standardized tobacco use ratio was two times higher than would be expected in the general rural population in the region. Average staff time to provide the intervention was 1.5–2.5 hr/week. Results showed that a Healthy Living group integrated into SUD programming provided a forum for tobacco education, behavior-change skills development, and access to an intensive tobacco cessation intervention for which enrollment was high yet the intervention could be delivered with only a few staff hours a week.


2020 ◽  
Author(s):  
Peter Düking ◽  
Marie Tafler ◽  
Birgit Wallmann-Sperlich ◽  
Billy Sperlich ◽  
Sonja Kleih

BACKGROUND Decreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA. OBJECTIVE The aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users’ PA behavior. METHODS The BCTs incorporated in 5 different high-end wearables (Apple Watch Series 3, Garmin Vívoactive 3, Fitbit Versa, Xiaomi Amazfit Stratos 2, and Polar M600) were assessed by 2 researchers using the BCT Taxonomy version 1 (BCTTv1). Effectiveness of the incorporated BCTs in promoting PA behavior was assessed by a content analysis of the existing literature. RESULTS The most common BCTs were goal setting (behavior), action planning, review behavior goal(s), discrepancy between current behavior and goal, feedback on behavior, self-monitoring of behavior, and biofeedback. Fitbit Versa, Garmin Vívoactive 3, Apple Watch Series 3, Polar M600, and Xiaomi Amazfit Stratos 2 incorporated 17, 16, 12, 11, and 11 BCTs, respectively, which are proven to effectively promote PA. CONCLUSIONS Wearables employ different numbers and combinations of BCTs, which might impact their effectiveness in improving PA. To promote PA by employing wearables, we encourage researchers to develop a taxonomy specifically designed to assess BCTs incorporated in wearables. We also encourage manufacturers to customize BCTs based on the targeted populations.


2020 ◽  
Vol 54 (11) ◽  
pp. 827-842
Author(s):  
Lauren Connell Bohlen ◽  
Susan Michie ◽  
Marijn de Bruin ◽  
Alexander J Rothman ◽  
Michael P Kelly ◽  
...  

Abstract Background Behavioral interventions typically include multiple behavior change techniques (BCTs). The theory informing the selection of BCTs for an intervention may be stated explicitly or remain unreported, thus impeding the identification of links between theory and behavior change outcomes. Purpose This study aimed to identify groups of BCTs commonly occurring together in behavior change interventions and examine whether behavior change theories underlying these groups could be identified. Methods The study involved three phases: (a) a factor analysis to identify groups of co-occurring BCTs from 277 behavior change intervention reports; (b) examining expert consensus (n = 25) about links between BCT groups and behavioral theories; (c) a comparison of the expert-linked theories with theories explicitly mentioned by authors of the 277 intervention reports. Results Five groups of co-occurring BCTs (range: 3–13 BCTs per group) were identified through factor analysis. Experts agreed on five links (≥80% of experts), comprising three BCT groups and five behavior change theories. Four of the five BCT group–theory links agreed by experts were also stated by study authors in intervention reports using similar groups of BCTs. Conclusions It is possible to identify groups of BCTs frequently used together in interventions. Experts made shared inferences about behavior change theory underlying these BCT groups, suggesting that it may be possible to propose a theoretical basis for interventions where authors do not explicitly put forward a theory. These results advance our understanding of theory use in multicomponent interventions and build the evidence base for further understanding theory-based intervention development and evaluation.


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