Do Combinations of Behavior Change Techniques That Occur Frequently in Interventions Reflect Underlying Theory?

Effective management of sedentary behavior among Indian university students: An empirical exploration into health-related behavior

BACKGROUND

The past few years have witnessed a notable rise in sedentary tendencies, unveiling a modern era of prolonged stillness and diminished physical engagement. This study sought to assess the feasibility of a digital health intervention (DHI) to reduce overall sedentary behavior among university students. The study also identifies distinct subgroups within Indian universities that exhibit a heightened propensity for engaging in unhealthy behaviors.

MATERIALS AND METHODS

The research design used was a quasi-experimental (pre-post) design. A total of 500 participants were selected using a simple randomized sampling method (250 belonging to the control group and 250 belonging to the experimental group). These participants actively engaged in the study for 2 weeks. The participants completed the Sedentary Behavior Questionnaire (SBQ) before the intervention to evaluate their level of sedentary behavior. To evaluate the impact of the intervention on subjectively measured sedentary behavior, statistical analyses were conducted using the paired-samples t-test and analysis of covariance (ANCOVA) with the post hoc Bonferroni test.

RESULTS

The findings demonstrated a significant t-value of sedentary behavior for the entire group, with t(249) = 4.88, P < .05. Furthermore, the F-value of 28.787 indicated a statistically significant difference in the sedentary behavior between the experimental and control groups. When considering female university students specifically, the t-value for sedentary behavior was significant at t(105) = 3.22, P < .05, and for male university students, the t-value for sedentary behavior was found to be significant at t(143) = 3.69, P < .05.

CONCLUSION

Smartphone-based health interventions targeting sedentary behavior reduction demonstrated promising outcomes in facilitating health behavior change among university students.

Care partners experience of an oral health intervention for individuals with mild cognitive impairment and mild dementia using behavior change technique: A qualitative study

Oral health declines in older adults with cognitive impairment. We aimed to improve oral hygiene outcomes for individuals with mild cognitive impairment (MCI) or mild dementia (MD) by fostering behavior changes among carepartners assisting them. We used qualitative data of verbatim transcripts of coaching sessions with carepartners (n = 17 dyads:10 dyads for MCI, 7 dyads for MD). Directed and emergent coding were used to understand behavior change techniques (BCTs). BCTs were compared with carepartners of participants with MCI and MD. Most frequently used BCTs in both groups: prompts and cues, instruction on how to perform the behavior, review behavioral goal, and problem solving. Different BCTs emerged in study: social support-unspecified of the MCI group and credible source for MD group. Findings clarified active intervention components, common BCTs used by carepartners, and different BCT approaches for both participants. Findings help to elucidate the mechanisms of changes in individuals' behaviors in these interventions.

Characteristics and Components of Self-Management Interventions for Improving Quality of Life in Cancer Survivors: A Systematic Review

Self-management can improve clinical and psychosocial outcomes in cancer survivors. Which intervention characteristics and components are beneficial is unclear, hindering implementation into practice. We systematically searched six databases from inception to 17 November 2021 for studies evaluating self-management interventions for adult cancer survivors post-treatment. Independent reviewers screened for eligibility. Data extraction included population and study characteristics, intervention characteristics (TIDieR) and components (PRISMS), (associations with) quality of life (QoL), self-efficacy, and economic outcomes. Study quality was appraised, and narrative synthesis was conducted. We identified 53 papers reporting 32 interventions. Studies had varying quality. They were most often randomised controlled trials (n = 20), targeted at survivors of breast (n = 10), prostate (n = 7), or mixed cancers (n = 11). Intervention characteristics (e.g., provider, location) varied considerably. On average, five (range 1-10) self-management components were delivered, mostly "Information about condition and its management" (n = 26). Twenty-two studies reported significant QoL improvements (6 also reported significant self-efficacy improvements); these were associated most consistently with combined individual and group delivery. Economic evaluations were limited and inconclusive. Self-management interventions showed promise for improving QoL, but study quality was variable, with substantial heterogeneity in intervention characteristics and components. By identifying what to adapt from existing interventions, these findings can inform development and implementation of self-management interventions in cancer.

Development of a physical activity counseling intervention for people with chronic respiratory disease based on the health action process approach

BACKGROUND

Physical activity (PA) counseling holds promise for increasing PA levels in people with chronic respiratory disease, though little long-term change has been shown to date. Here, we describe the development of a Health Action Process Approach-based PA counseling intervention that aims to promote PA and exercise in people with chronic respiratory disease who are enrolled in pulmonary rehabilitation.

METHODS

To collaborate in defining and refining the intervention, we convened a varied team of authors that included a panel of five stakeholder partners: three patients, one clinician, and one health behavior change researcher. We completed three steps in the intervention development process: (1) initial intervention creation, (2) iterative intervention refinement, and (3) assessment of intervention acceptability. In step 1, we created an initial draft of the PA counseling intervention based on the HAPA theoretical framework, previous evidence in people with chronic respiratory disease, and clinical experience. In step 2, we used qualitative methods of focus groups and interviews to further develop and refine the intervention. Fifteen meetings occurred with the five-member stakeholder partner panel (six focus groups with the three patient partners, four interviews with the clinician partner, and five interviews with the researcher partner) over 5 months to systematically elicit input and incorporate it into the intervention. In step 3, we measured the intervention acceptability using five-point Likert scale ratings.

RESULTS

Intervention materials included the eligibility screen, participant workbook, and leader guide. We identified key themes in the input from the stakeholder partners and incorporated this input into the intervention content and methods. Ratings of the intervention by the stakeholder partners (n=5) were high with mean ratings ranging 4.0-5.0 on a five-point scale.

CONCLUSIONS

This development process successfully engaged an intervention development team with diverse perspectives and resulted in a PA counseling intervention for people with chronic respiratory disease. The intervention's strong theoretical underpinning, person-centeredness, and the contributions from varied perspectives during intervention development position it well for future evaluations of feasibility, efficacy, and effectiveness.

Effectiveness of Multicomponent Interventions in Office-Based Workers to Mitigate Occupational Sedentary Behavior: Systematic Review and Meta-Analysis

BACKGROUND

Sedentary time in workplaces has been linked to increased risks of chronic occupational diseases, obesity, and overall mortality. Currently, there is a burgeoning research interest in the implementation of multicomponent interventions aimed at decreasing sedentary time among office workers, which encompass a comprehensive amalgamation of individual, organizational, and environmental strategies.

OBJECTIVE

This meta-analysis aims at evaluating the effectiveness of multicomponent interventions to mitigate occupational sedentary behavior at work compared with no intervention.

METHODS

PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from database inception until March 2023 to obtain randomized controlled trials (RCTs) assessing the efficacy of multicomponent interventions on occupational sedentary behavior among office-based workers. Two reviewers independently extracted the data and assessed the risk of bias by using the Cochrane Collaboration's risk of bias tool. The average intervention effect on sedentary time was calculated using Stata 15.1. Mean differences (MDs) with 95% CIs were used to calculate the continuous variables. Subgroup analyses were performed to determine whether sit-stand workstation, feedback, and prompt elements played an important role in multicomponent interventions. Further, the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system was used to evaluate the certainty of evidence.

RESULTS

A total of 11 RCTs involving 1894 patients were included in the analysis. Five studies were rated as low risk of bias, 2 as unclear risk of bias, and 4 as high risk. The meta-analysis results showed that compared with no intervention, multicomponent interventions significantly reduced occupational sitting time (MD=-52.25 min/8-h workday, 95% CI -73.06 to -31.44; P<.001) and occupational prolonged sitting time (MD=-32.63 min/8-h workday, 95% CI -51.93 to -13.33; P=.001) and increased occupational standing time (MD=44.30 min/8-h workday, 95% CI 23.11-65.48; P<.001), whereas no significant differences were found in occupational stepping time (P=.06). The results of subgroup analysis showed that compared with multicomponent interventions without installment of sit-stand workstations, multicomponent interventions with sit-stand workstation installment showed better effects for reducing occupational sitting time (MD=-71.95 min/8-h workday, 95% CI -92.94 to -51.15), increasing occupational standing time (MD=66.56 min/8-h workday, 95% CI 43.45-89.67), and reducing occupational prolonged sitting time (MD=-47.05 min/8-h workday, 95% CI -73.66 to -20.43). The GRADE evidence summary showed that all 4 outcomes were rated as moderate certainty.

CONCLUSIONS

Multicomponent interventions, particularly those incorporating sit-stand workstations for all participants, are effective at reducing workplace sedentary time. However, given their cost, further research is needed to understand the effectiveness of low-cost/no-cost multicomponent interventions.

Aligning intuition and theory: a novel approach to identifying the determinants of behaviours necessary to support implementation of evidence into practice

BACKGROUND

Disentangling the interplay between experience-based intuition and theory-informed implementation is crucial for identifying the direct contribution theory can make for generating behaviour changes needed for successful evidence translation. In the context of 'clinicogenomics', a complex and rapidly evolving field demanding swift practice change, we aimed to (a) describe a combined clinician intuition- and theory-driven method for identifying determinants of and strategies for implementing clinicogenomics, and (b) articulate a structured approach to standardise hypothesised behavioural pathways and make potential underlying theory explicit.

METHODS

Interview data from 16 non-genetic medical specialists using genomics in practice identified three target behaviour areas across the testing process: (1) identifying patients, (2) test ordering and reporting, (3) communicating results. The Theoretical Domains Framework (TDF) was used to group barriers and facilitators to performing these actions. Barriers were grouped by distinct TDF domains, with 'overarching' TDF themes identified for overlapping barriers. Clinician intuitively-derived implementation strategies were matched with corresponding barriers, and retrospectively coded against behaviour change techniques (BCTs). Where no intuitive strategies were provided, theory-driven strategies were generated. An algorithm was developed and applied to articulate how implementation strategies address barriers to influence behaviour change.

RESULTS

Across all target behaviour areas, 32 identified barriers were coded across seven distinct TDF domains and eight overarching TDF themes. Within the 29 intuitive strategies, 21 BCTs were represented and used on 49 occasions to address 23 barriers. On 10 (20%) of these occasions, existing empirical links were found between BCTs and corresponding distinct TDF-coded barriers. Twenty additional theory-driven implementation strategies (using 19 BCTs on 31 occasions) were developed to address nine remaining barriers.

CONCLUSION

Clinicians naturally generate their own solutions when implementing clinical interventions, and in this clinicogenomics example these intuitive strategies aligned with theoretical recommendations 20% of the time. We have matched intuitive strategies with theory-driven BCTs to make potential underlying theory explicit through proposed structured hypothesised causal pathways. Transparency and efficiency are enhanced, providing a novel method to identify determinants of implementation. Operationalising this approach to support the design of implementation strategies may optimise practice change in response to rapidly evolving scientific advances requiring swift translation into healthcare.

Changing Hearts and Minds in the Equestrian World One Behaviour at a Time

Equestrianism is currently facing a range of pressing challenges. These challenges, which are largely based on evolving attitudes to ethics and equine wellbeing, have consequences for the sport's social licence to operate. The factors that may have contributed to the current situation include overarching societal trends, specific aspects of the equestrian sector, and factors rooted in human nature. If equestrianism is to flourish, it is evident that much needs to change, not the least, human behaviour. To this end, using established behaviour change frameworks that have been scientifically validated and are rooted in practice-most notably, Michie et al.'s COM-B model and Behaviour Change Wheel-could be of practical value for developing and implementing equine welfare strategies. This review summarises the theoretical underpinnings of some behaviour change frameworks and provides a practical, step-by-step approach to designing an effective behaviour change intervention. A real-world example is provided through the retrospective analysis of an intervention strategy that aimed to increase the use of learning theory in (educational) veterinary practice. We contend that the incorporation of effective behaviour change interventions into any equine welfare improvement strategy may help to safeguard the future of equestrianism.

The Effectiveness of Internet-Guided Self-help Interventions to Promote Physical Activity Among Individuals With Depression: Systematic Review

BACKGROUND

Depression is a prevalent and debilitating mental disorder and a leading cause of disability worldwide. Physical activity (PA) interventions have been shown to alleviate depressive symptoms. However, not all patients have access to PA programing tailored for depression. Internet-guided self-help (IGSH) interventions may be an effective option for increasing PA among people with depression who cannot or prefer not to access supervised exercise treatment.

OBJECTIVE

We aimed to evaluate the effectiveness of IGSH interventions in increasing PA and alleviating depressive symptoms in people with depression.

METHODS

A systematic literature search was conducted for randomized controlled trials and quasiexperimental studies using 9 electronic databases. The review was registered in PROSPERO (2020 CRD42020221713).

RESULTS

A total of 4 randomized controlled trials (430 participants) met the inclusion criteria. Of these, 3 were web-based and 1 was app-based. Three studies found IGSH interventions to have medium to large effects on decreasing depressive symptoms but not on increasing PA compared with waitlist or usual care. One study showed increased self-reported PA but no significant difference in depressive symptoms in the intervention group compared with the control group. Goal setting was the most common behavior change technique used in the interventions. Dropout rates within the intervention groups were relatively low (0%-19%).

CONCLUSIONS

Our findings suggested that IGSH PA interventions are feasible and have the potential to reduce depressive symptoms in people with depression. More well-designed and tailored interventions with different combinations of behavior change techniques, particularly those targeting the emotion domain, are needed to assess the overall effectiveness and feasibility of using IGSH interventions to increase PA among people with depression.

TRIAL REGISTRATION

PROSPERO CRD42020221713; https://tinyurl.com/ysaua5bu.

Promoting Physical Activity among Workers: A Review of Literature and Future Directions on Developing Theory-Based Interventions

Insufficient physical activity (PA) has been identified as a leading risk factor for premature and all-cause death, as well as non-communicable diseases. Employees, especially those with low occupational PA, are more vulnerable to physical inactivity, and studies in this population are scarce. However, employees may receive benefits for both health and work productivity from PA. Therefore, well-designed behavior change studies to promote PA in employees are urgently needed, especially during the COVID-19 pandemic. Literature was searched before 30 July 2022, and updated evidence was summarized. This review elaborates on the evidence related to insufficient PA and further provides an overview of theory-based interventions for promoting PA. Evidence indicates that intervention mapping (IM) was a useful tool to develop, implement, and evaluate behavior change interventions. Based on the IM framework, reviewing the theory- and evidence-based change methods and delivery modes, and further identifying the research gaps and limitations of existing interventions could provide promising suggestions and directions for development of well-founded interventions promoting PA among employees. The updated knowledge base for developing future interventions may boost efficacy and provide firm conclusions for researchers in this area.

Web-Based Interventions to Promote Healthy Lifestyles for Older Adults: Scoping Review

Background

With the aging of the population and rising rates of chronic diseases, web-based interventions could be considered to support older adults in adopting healthy lifestyles. To date, published knowledge syntheses have focused on quantitative studies among older adults aged ≥50 years. However, those aged ≥65 years may have different needs to be met by these interventions because of the biological and physiological changes associated with aging, and qualitative studies could help advance knowledge in this field.

Objective

The objective of this scoping review is to explore the extent of the literature on web-based interventions aimed at promoting healthy lifestyles among people aged ≥65 years.

Methods

A scoping review was conducted based on the framework proposed by Levac et al. Six databases (ie, MEDLINE, CINAHL, PsycINFO, Web of Science, the Cochrane Database of Systematic Reviews, and the Joanna Briggs Library) and gray literature (ie, Google Scholar and OpenGrey) were searched. The final search was conducted on June 23, 2021. The studies were selected by 2 persons (AL and ML) independently. The included studies were systematic reviews and qualitative and quantitative studies focusing on web-based interventions to promote healthy lifestyles in people aged ≥65 years that were published in French or English between 1990 and 2021. Data were extracted in a table and synthesized based on the conceptualization of web-based interventions (ie, according to the use parameters, behavior change techniques, delivery modes, and theories). A thematic analysis was performed.

Results

In total, 20 articles were included in this review, which represents studies focused on 11 distinct interventions. All of the interventions (11/11, 100%) aimed to promote physical activity among older adults. The number of intervention sessions varied from 5 to 16, with a frequency from daily to once every 2 weeks. Diverse delivery modes such as electronic diary, video, and phone call were found. The most used behavior change techniques were instruction, feedback, and self-monitoring. Few interventions (6/11, 55%) were based on a theory. A favorable trend was observed in increasing physical activity, and 5 themes emerged that appeared to be central to behavior change among older adults: motivation, support, tailoring, barriers, and perceptions.

Conclusions

This scoping review provides a better understanding of the components of web-based interventions and their outcomes on the healthy lifestyles of people aged ≥65 years. These findings could provide important guidance for the design and development of future web-based interventions in this field. Further research is needed to continue the development and evaluation of innovative and accessible interventions to promote healthy lifestyles among older adults.

International Registered Report Identifier (IRRID)

RR2-10.2196/23207

Healthcare professional behaviour: health impact, prevalence of evidence-based behaviours, correlates and interventions

Healthcare professional (HCP) behaviours are actions performed by individuals and teams for varying and often complex patient needs. However, gaps exist between evidence-informed care behaviours and the care provided. Implementation science seeks to develop generalizable principles and approaches to investigate and address care gaps, supporting HCP behaviour change while building a cumulative science. We highlight theory-informed approaches for defining HCP behaviour and investigating the prevalence of evidence-based care and known correlates and interventions to change professional practice. Behavioural sciences can be applied to develop implementation strategies to support HCP behaviour change and provide valid, reliable tools to evaluate these strategies. There are thousands of different behaviours performed by different HCPs across many contexts, requiring different implementation approaches. HCP behaviours can include activities related to promoting health and preventing illness, assessing and diagnosing illnesses, providing treatments, managing health conditions, managing the healthcare system and building therapeutic alliances. The key challenge is optimising behaviour change interventions that address barriers to and enablers of recommended practice. HCP behaviours may be determined by, but not limited to, Knowledge, Social influences, Intention, Emotions and Goals. Understanding HCP behaviour change is a critical to ensuring advances in health psychology are applied to maximize population health.

Interventions Preventing Osteoporosis in Primary Care: A Systematic Review

Objective: The aim of this study was to conduct a systematic review to find interventions in primary health care that would increase osteoporosis prevention behaviors. Methods: Systematic searches of CINAHL, Eric, Medline complete, PsycInfo, Ovid, Web of Science, Cochrane Library (N=1270). A total of 17 published articles met our inclusion criteria. English-language articles published between January 2000-May 2019, in primary care settings, participants with healthy or risk of osteoporosis, investigated osteoporosis preventing behaviors. The data extracted included population characteristics, diagnosis, mean age and setting, intervention and control groups, and outcomes of significance to the review question and specific objectives. In this review, a meta-analysis could not be performed due to the heterogeneity of the data. Results: The majority of studies have been found to use multiple strategies to prevent osteoporosis. Eight studies focused only on the female gender and seven studies focused only on older adults. Compared to the control groups, it was found that the participants’ osteoporosis knowledge increased significantly (p

Effectiveness of a Parent-Focused Intervention Targeting 24-H Movement Behaviors in Preschool-Aged Children: Study Protocol for a Randomized Controlled Trial

Background

Interventions targeting single behaviors of preschool-aged children have been mainstream for some time, but integrated interventions targeting all three 24-h movement behaviors (physical activity [PA], sedentary behavior [SB], and sleep hygiene) are less studied. The aims of this study will be to test the feasibility, acceptability, and effectiveness of a parent-focused intervention for preschool-aged children targeting multiple 24-h movement behaviors.

Methods

This three-arm randomized controlled trial will comprise a 12-week intervention and a 12-week follow-up. A total of 150 parent-child dyads will be recruited and randomly allocated to one of three arms: (1) a PA + SB group (dyadic approach), (2) a PA + SB + sleep group (integrated approach), and (3) a wait-list control group. The theory of planned behavior and behavioral change techniques will guide the development of the intervention via workshops, education materials, interactive questionnaires, and reminders. The intervention strategies for the integrated group will be the same as for the dyadic approach except that the intervention will also target sleep hygiene in addition to PA and SB. The primary outcomes will be preschoolers' 24-h movement behaviors (e.g., activity sleep index, compositional data of PA, SB, screen time, and sleep duration). The secondary outcomes will be preschoolers' sleep quality, weight status, cognitive function, and parents' movement behaviors. The feasibility and acceptability of the intervention will also be evaluated.

Discussion

The proposed study will be a theory-based, parent-focused intervention designed to improve all three 24-h movement behaviors among preschoolers. The trial is expected to improve preschoolers' movement behaviors and health outcomes, as well as their parents' movement behaviors. Given the urgent need to promote active lifestyles, our findings will help to determine best practices for movement behavior change among young children.

Trial Registration

The study is prospectively registered at the Chinese Clinical Trial Registry (ChiCTR2200055958).

Iowa Implementation for Sustainability Framework

Background

An application-oriented implementation framework designed for clinicians and based on the Diffusion of Innovations theory included 81 implementation strategies with suggested timing for use within four implementation phases. The purpose of this research was to evaluate and strengthen the framework for clinician use and propose its usefulness in implementation research.

Methods

A multi-step, iterative approach guided framework revisions. Individuals requesting the use of the framework over the previous 7 years were sent an electronic questionnaire. Evaluation captured framework usability, generalizability, accuracy, and implementation phases for each strategy. Next, nurse leaders who use the framework pile sorted strategies for cultural domain analysis. Last, a panel of five EBP/implementation experts used these data and built consensus to strengthen the framework.

Results

Participants (n = 127/1578; 8% response) were predominately nurses (94%), highly educated (94% Master’s or higher), and from across healthcare (52% hospital/system, 31% academia, and 7% community) in the USA (84%). Most (96%) reported at least some experience using the framework and 88% would use the framework again. A 4-point scale (1 = not/disagree to 4 = very/agree) was used. The framework was deemed useful (92%, rating 3–4), easy to use (72%), intuitive (67%), generalizable (100%), flexible and adaptive (100%), with accurate phases (96%), and accurate targets (100%). Participants (n = 51) identified implementation strategy timing within four phases (Cochran’s Q); 54 of 81 strategies (66.7%, p < 0.05) were significantly linked to a specific phase; of these, 30 (55.6%) matched the original framework. Next, nurse leaders (n = 23) completed a pile sorting activity. Anthropac software was used to analyze the data and visualize it as a domain map and hierarchical clusters with 10 domains. Lastly, experts used these data and implementation science to refine and specify each of the 75 strategies, identifying phase, domain, actors, and function. Strategy usability, timing, and groupings were used to refine the framework.

Conclusion

The Iowa Implementation for Sustainability Framework offers a typology to guide implementation for evidence-based healthcare. This study specifies 75 implementation strategies within four phases and 10 domains and begins to validate the framework. Standard use of strategy names is foundational to compare and understand when implementation strategies are effective, in what dose, for which topics, by whom, and in what context.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13012-021-01157-5.

Behavior Change Techniques and Delivery Modes in Interventions Targeting Adolescent Gambling: A Systematic Review

BACKGROUND

Adolescent gambling can lead to significant harms, yet participation rates continue to rise. Interventions targeting gambling reduction have been implemented in this population. However, it is not clear which behavior change techniques (BCTs) and modes of delivery (MOD) are most effective at reducing gambling.

OBJECTIVE

The objective of the study was to identify 'promising' BCTs and MODs by systematically reviewing interventions targeting adolescent gambling behavior. 'Promising' was defined as those present in at least 25% of all interventions and in at least two effective interventions.

METHODS

Three databases were searched (PsycINFO, Medline, and Scopus) from database inception to May 2021. Interventions were eligible if they were randomized controlled trials; targeting adolescents (aged 10-25 years); and assessing gambling behavior post-intervention. BCTs were identified using the Behavior Change Technique Taxonomy v1.

RESULTS

From the initial 3,315 studies, the removal of duplicates and ineligible articles resulted in sixteen studies included in the review. Eleven of these reported successfully reducing gambling behavior. Eighteen BCTs and six MODs were used across the interventions. The BCTs identified as promising were '4.2. Information about antecedents', '4.4. Behavioral experiments', '5.3. Information about social and environmental consequences', and '5.6. Information about emotional consequences'. Promising MODs were 'face-to-face', 'computer', and 'playable electronic storage'.

CONCLUSIONS

The study reviewed the content of interventions targeting adolescent gambling behavior. Four BCTs were identified as promising and should therefore be adopted in future interventions. To facilitate the delivery of these techniques, the study also identified three promising MODs. Interventions developed using these BCTs and MODs may successfully reduce adolescent gambling behavior.

Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus

Researchers, practitioners, and policymakers develop interventions to change behavior based on their understanding of how behavior change techniques (BCTs) impact the determinants of behavior. A transparent, systematic, and accessible method of linking BCTs with the processes through which they change behavior (i.e., their mechanisms of action [MoAs]) would advance the understanding of intervention effects and improve theory and intervention development. The purpose of this study is to triangulate evidence for hypothesized BCT–MoA links obtained in two previous studies and present the results in an interactive, online tool. Two previous studies generated evidence on links between 56 BCTs and 26 MoAs based on their frequency in literature synthesis and on expert consensus. Concordance between the findings of the two studies was examined using multilevel modeling. Uncertainties and differences between the two studies were reconciled by 16 behavior change experts using consensus development methods. The resulting evidence was used to generate an online tool. The two studies showed concordance for 25 of the 26 MoAs and agreement for 37 links and for 460 “nonlinks.” A further 55 links were resolved by consensus (total of 92 [37 + 55] hypothesized BCT–MoA links). Full data on 1,456 possible links was incorporated into the online interactive Theory and Technique Tool (https://theoryandtechniquetool.humanbehaviourchange.org/). This triangulation of two distinct sources of evidence provides guidance on how BCTs may affect the mechanisms that change behavior and is available as a resource for behavior change intervention designers, researchers and theorists, supporting intervention design, research synthesis, and collaborative research.

Reducing drug-use harms among higher education students: MyUSE contextual-behaviour change digital intervention development using the Behaviour Change Wheel

BACKGROUND

Digital harm-reduction interventions typically focus on people with severe drug-use problems, yet these interventions have moderate effectiveness on drug-users with lower levels of risk of harm. The difference in effectiveness may be explained by differences in behavioural patterns between the two groupings. Harnessing behavioural theories to understand what is at the core of drug-use behaviours and mapping the content of new interventions, may improve upon the effectiveness of interventions for lower-risk drug-users. To the best of our knowledge, this is the first study to systematically apply the Behaviour Change Wheel (BCW) approach to understand the components, influencing capabilities, opportunities, and motivations (COM-B) of higher education students to change their drug-use behaviors. It is also the first study which identifies specific patterns of behaviours that are more responsive to harm reduction practices through the use of the Theoretical Domain Framework (TDF).

METHODS

We employed an explanatory sequential mix-method design. We first conducted an on-line survey and a Delphi exercise to understand the factors influencing COM-B components of higher education students to change their drug-use. Subsequently, we mapped all evidence onto the COM-B components and the TDF domains to identify clusters of behaviours to target for change, using a pattern-based discourse analysis. Finally, a series of multidisciplinary group meetings identified the intervention functions-the means by which the intervention change targeted behaviours and the Behavioural Change Techniques (BCTs) involved using the behaviour change technique taxonomy (v.1).

RESULTS

Twenty-nine BCTs relevant to harm-reduction practices were identified and mapped across five intervention functions (education, modelling, persuasion, incentivization, and training) and five policy categories (communication/marketing, guidelines, regulation, service provision, and environmental/social planning). These BCTs were distributed across eight identified saturated clusters of behaviours MyUSE intervention attempts to change.

CONCLUSIONS

The BCTs, identified, will inform the development of a digitally delivered behaviour change intervention that focuses on increasing mindful decision-making with respect to drug-use and promotes alternatives to drug-use activities. The findings can also inform implementation scientists in applying context-specific harm-reduction practices in higher education. We present examples of how the eight identified clusters of target behaviours are mapped across the COM-B components and the TDF, along with suggestions of implementation practices for harm reduction at student population level.

A latent profile analysis using the theory of planned behavior to predict alcohol use

OBJECTIVE

The current study sought to identify subgroups of adult drinkers who differ in their level of association between alcohol-related Theory of Planned Behavior (TPB) constructs (attitudes, perceived norms, self-efficacy, and intentions), and explore if distinct subgroup profiles relate to alcohol use two weeks later.

DESIGN

Participants (N = 121) were recruited to participate in a two-week study about daily experiences with exercise and alcohol (M_age = 30.93; SD_age = 9.88; 59.2% female; 71.1% Caucasian).

MAIN OUTCOME MEASURES

Alcohol attitudes, subjective norms, alcohol refusal self-efficacy, and intentions were used to create class membership. Behavioral outcomes included (1) drinking frequency, (2) drinking quantity, and (3) drinking to get drunk.

RESULTS

Two classes of drinkers were determined - Class 1 was categorized by moderate scores on all constructs, whereas Class 2 was categorized by moderate scores on attitudes and high scores on norms, alcohol refusal self-efficacy, and intentions. Class designation was associated with frequency, but not quantity of use.

CONCLUSION

The current study suggests that a minority of individuals who score moderately across all constructs should receive intervention efforts that focus on just those included in the TPB, while the vast majority may require additional constructs to be addressed.

Changing behaviour, 'more or less': do implementation and de-implementation interventions include different behaviour change techniques?

BACKGROUND

Decreasing ineffective or harmful healthcare practices (de-implementation) may require different approaches than those used to promote uptake of effective practices (implementation). Few psychological theories differentiate between processes involved in decreasing, versus increasing, behaviour. However, it is unknown whether implementation and de-implementation interventions already use different approaches. We used the behaviour change technique (BCT) taxonomy (version 1) (which includes 93 BCTs organised into 12 groupings) to investigate whether implementation and de-implementation interventions for clinician behaviour change use different BCTs.

METHODS

Intervention descriptions in 181 articles from three systematic reviews in the Cochrane Library were coded for (a) implementation versus de-implementation and (b) intervention content (BCTs) using the BCT taxonomy (v1). BCT frequencies were calculated and compared using Pearson's chi-squared (χ²), Yates' continuity correction and Fisher's exact test, where appropriate. Identified BCTs were ranked according to frequency and rankings for de-implementation versus implementation interventions were compared and described.

RESULTS

Twenty-nine and 25 BCTs were identified in implementation and de-implementation interventions respectively. Feedback on behaviour was identified more frequently in implementation than de-implementation (Χ²(2, n=178) = 15.693, p = .000057). Three BCTs were identified more frequently in de-implementation than implementation: Behaviour substitution (Χ²(2, n=178) = 14.561, p = .0001; Yates' continuity correction); Monitoring of behaviour by others without feedback (Χ²(2, n=178) = 16.187, p = .000057; Yates' continuity correction); and Restructuring social environment (p = .000273; Fisher's 2-sided exact test).

CONCLUSIONS

There were some significant differences between BCTs reported in implementation and de-implementation interventions suggesting that researchers may have implicit theories about different BCTs required for de-implementation and implementation. These findings do not imply that the BCTs identified as targeting implementation or de-implementation are effective, rather simply that they were more frequently used. These findings require replication for a wider range of clinical behaviours. The continued accumulation of additional knowledge and evidence into whether implementation and de-implementation is different will serve to better inform researchers and, subsequently, improve methods for intervention design.

Self-Management Group Education to Reduce Fear of Hypoglycemia as a Barrier to Physical Activity in Adults Living With Type 1 Diabetes: A Pilot Randomized Controlled Trial

OBJECTIVES

The aim of this study was to evaluate the feasibility, acceptability and preliminary efficacy of a theory-driven group education intervention designed to reduce fear of hypoglycemia (FoH) as a barrier to physical activity (PA) in adults with type 1 diabetes (T1D).

METHODS

This study was a single-blinded, pilot randomized controlled trial of adults aged 18 to 65 years and living with T1D in Western Australia. Participants were randomized (1:1) to standard care or intervention with self-management education. Primary outcomes were feasibility and acceptability of the study procedures, and change to barriers to PA and FoH. Secondary outcomes were change to attitudes and intentions toward PA, self-reported participation in PA, self-efficacy, diabetes distress and well-being. To calculate effect sizes, we used a Bayesian comparison of the between-group difference scores (i.e. [score_t2 - score_t1]_TREATMENT vs [score_t2 - score_t1]_CONTROL).

RESULTS

We randomized 117 participants with T1D, 86 (74%) of whom provided baseline data and attended initial workshops. Of these participants, 81% attended the booster workshop 4 weeks later. They were 45±12 years of age, reported high levels of activity and had been living with T1D for 20±14 years. Small-to-moderate effect sizes [ESs] in favour of the intervention were observed at 12 weeks for overall barriers to PA (ES, -0.38; highest density interval, -0.92 to 0.17]), self-efficacy for blood glucose management after PA (ES, 0.45; highest density interval, 0 to 0.91]), diabetes distress (ES, -0.29; highest density interval, -0.77 to 0.15) and well-being (ES, 0.36; highest density interval, -0.12 to 0.8).

CONCLUSIONS

Quantitative findings indicate study procedures were acceptable to participants and feasible to deliver. A future definitive trial is justified to replicate preliminary efficacy and to determine the utility of the intervention for improving PA participation.

Developing an evidence-based online method of linking behaviour change techniques and theoretical mechanisms of action: a multiple methods study

Background

Many global health challenges may be targeted by changing people’s behaviour. Behaviours including cigarette smoking, physical inactivity and alcohol misuse, as well as certain dietary behaviours, contribute to deaths and disability by increasing the risk of cancers, cardiovascular diseases and diabetes. Interventions have been designed to change these health behaviours with a view to reducing these health risks. However, the effectiveness of these interventions has been quite variable and further information is needed to enhance their success. More information is needed about the specific processes that underlie the effectiveness of intervention strategies.

Aim

Researchers have developed a taxonomy of 93 behaviour change techniques (i.e. the active components of an intervention that bring about behavioural change), but little is known regarding their potential mechanisms of action (i.e. the processes through which a behaviour change technique affects behaviour). We therefore aimed to examine links between behaviour change techniques and mechanisms of action.

Method

First, we conducted a literature synthesis study of 277 behaviour change intervention studies, from which we extracted information on links, described by authors, between behaviour change techniques and mechanisms of action, and identified an average of 10 links per intervention report. Second, behaviour change experts (n = 105) were engaged in a three-round consensus study in which they discussed and rated their confidence in the presence/absence of ‘links’ and ‘non-links’ between commonly used behaviour change techniques (n = 61) and a set of mechanisms of action (n = 26). Ninety links and 460 ‘non-links’ reached the pre-set threshold of 80% agreement. To enhance the validity of these results, a third study was conducted that triangulated the findings of the first two studies. Discrepancies and uncertainties between the studies were included in a reconciliation consensus study with a new group of experts (n = 25). The final results identified 92 definite behaviour change technique–mechanism of action links and 465 definite non-links. In a fourth study, we examined whether or not groups of behaviour change techniques used together frequently across interventions revealed shared theoretical underpinnings. We found that experts agreed on the underlying theory for three groups of behaviour change techniques.

Results

Our results are potentially useful to policy-makers and practitioners in selecting behaviour change techniques to include in behaviour change interventions. However, our data do not demonstrate that the behaviour change techniques are effective in targeting the mechanism of action; rather, the links identified may be the ‘best bets’ for interventions that are effective in changing mechanisms of action, and the non-links are unlikely to be effective. Researchers examining effectiveness of interventions in either primary studies or evidence syntheses may consider these links for further investigation.

Conclusion

To make our results usable by researchers, practitioners and policy-makers, they are available in an online interactive tool, which enables discussion and collaboration (https://theoryandtechniquetool.humanbehaviourchange.org/); accessed 1 March 2020. This work, building on previous work to develop the behaviour change technique taxonomy, is part of an ongoing programme of work: the Human Behaviour Change Project (www.humanbehaviourchange.org/; accessed 1 March 2020).

Funding

This project was funded by the Medical Research Council via its Methodology Panel: ‘Developing methodology for designing and evaluating theory-based complex interventions: an ontology for linking behaviour change techniques to theory’ (reference MR/L011115/1).