MAP: A mnemonic for mapping BCTs to three routes to behaviour change

The power of animation: encouraging doctors to access support for psychological wellbeing

The COVID-19 pandemic has exacerbated already high rates of poor psychological wellbeing in doctors. Many doctors perceive a stigma associated with acknowledging psychological wellbeing concerns, resulting in a reluctance to seek support for those concerns. The aim of this study was to develop a theoretically-informed and evidence-based composite narrative animation (CNA) to encourage doctors to access support for psychological wellbeing, and to evaluate the acceptability of the CNA.A composite narrative was developed from an evidence-base of interviews with 27 GP participants across Scotland (May-July 2020). The Behaviour Change Wheel was used to identify behaviour change techniques (BCTs) to be embedded within the CNA. The narrative was turned into a script in collaboration with an animation company. A brief animation 'Jane the GP' was developed reflecting specific BCTs.Scottish doctors (n = 83) were asked for their views on acceptability of the CNA concept, and subsequently asked to provide views on the acceptability of the CNA after viewing it. Participants thought the concept of a CNA was novel but may not appeal to all. After viewing the CNA, the widespread view was that it portrayed an authentic experience, could reduce stigma around seeking support for psychological wellbeing, and highlighted formal routes to access such support.CNAs are a novel and acceptable intervention method for encouraging doctors to access support for psychological wellbeing. The use of a theory driven intervention development framework to create the CNA facilitates the link between theory and practice.

Piloting co-developed behaviour change interventions to reduce exposure to air pollution and improve self-reported asthma-related health

BACKGROUND

Exposure to air pollution can exacerbate asthma with immediate and long-term health consequences. Behaviour changes can reduce exposure to air pollution, yet its 'invisible' nature often leaves individuals unaware of their exposure, complicating the identification of appropriate behaviour modifications. Moreover, making health behaviour changes can be challenging, necessitating additional support from healthcare professionals.

OBJECTIVE

This pilot study used personal exposure monitoring, data feedback, and co-developed behaviour change interventions with individuals with asthma, with the goal of reducing personal exposure to PM2.5 and subsequently improving asthma-related health.

METHODS

Twenty-eight participants conducted baseline exposure monitoring for one-week, simultaneously keeping asthma symptom and medication diaries (previously published in McCarron et al., 2023). Participants were then randomised into control (n = 8) or intervention (n = 9) groups. Intervention participants received PM2.5 exposure feedback and worked with researchers to co-develop behaviour change interventions based on a health behaviour change programme which they implemented during the follow-up monitoring week. Control group participants received no feedback or intervention during the study.

RESULTS

All interventions focused on the home environment. Intervention group participants reduced their at-home exposure by an average of 5.7 µg/m³ over the monitoring week (-23.0 to +3.2 µg/m³), whereas the control group had a reduction of 4.7 µg/m³ (-15.6 to +0.4 µg/m³). Furthermore, intervention group participants experienced a 4.6% decrease in participant-hours with reported asthma symptoms, while the control group saw a 0.5% increase. Similarly, the intervention group's asthma-related quality of life improved compared to the control group.

IMPACT STATEMENT

This pilot study investigated a novel behaviour change intervention, utilising personal exposure monitoring, data feedback, and co-developed interventions guided by a health behaviour change programme. The study aimed to reduce personal exposure to fine particulate matter (PM2.5) and improve self-reported asthma-related health. Conducting a randomised controlled trial with 28 participants, co-developed intervention successfully targeted exposure peaks within participants' home microenvironments, resulting in a reduction in at-home personal exposure to PM2.5 and improving self-reported asthma-related health. The study contributes valuable insights into the environmental exposure-health relationship and highlights the potential of the intervention for individual-level decision-making to protect human health.

Habits and Reflective Processes in COVID-19 Transmission-reducing Behaviors: Examining Theoretical Predictions in a Representative Sample of the Population of Scotland

BACKGROUND

Based on theory, COVID-19 transmission-reducing behaviors (TRBs) should become habitual because of their frequent performance. Habits have been hypothesized to develop through reflective processes and, to act in conjunction with them.

PURPOSE

We investigated the existence, development, and consequences of TRB habits, for physical distancing, handwashing, and wearing face coverings.

METHODS

A representative sample of the Scottish population (N = 1,003) was interviewed by a commercial polling company in August-October 2020 and half were re-interviewed later. Measures included adherence, habit, personal routine tendency, reflective processes, and action control for three TRBs. Data were analyzed using general linear modeling, regression, and mediation analyses.

RESULTS

Handwashing was most habitual; only face covering became more habitual over time. Routine tendencies predicted TRB habits, and adherence to handwashing and physical distancing. Those reporting greater habits reported better adherence, for physical distancing and handwashing, and this remained true after controlling for previous adherence. Reflective and habit processes independently predicted adherence for physical distancing and handwashing; only reflective processes were independently predictive for face covering. The relationship between planning and forgetting and adherence was partly direct, and partly mediated by habit.

CONCLUSIONS

The results confirm hypotheses from habit theory including the role of repetition and of personal routine tendency in developing habits. They are consistent with dual processing theory in finding that both reflective and habit processes predict adherence to TRBs. Action planning partly mediated the relation between reflective processes and adherence. The COVID-19 pandemic has enabled the testing and confirmation of several theoretical hypotheses about habit processes in the enactment of TRBs.

Using behaviour change science to deliver oral health practice: A commentary

The aims of this commentary are threefold; firstly, we summarize changes in oral health behaviour change research and practice; secondly, we identify key barriers and challenges proposing practical ways to overcome them; and finally, we showcase key developments on the global and local stage outlining key opportunities for the future of oral health behaviour change. Not applicable. Advancements, including the Capability-Opportunity-Motivation (COM-B), Motivation, Action regulation-Prompts (MAP) and the Goal setting, Planning and Self-Monitoring (GPS) models have showcased a range of evidence-based opportunities to deliver oral health behaviour change. Despite their merits, oral health behaviour change still faces barriers and challenges that limit its scope, applicability and practicability for oral health professionals. Recent developments on the global and local stage have highlighted the important role oral health behaviour change has to play for the future of oral health. We provide practical examples to show how these advancements can be delivered in practice, noting that learnings from other disciplines can help shape the future of oral health behaviour change. A combination of encouraging signs and recent, positive developments have resulted in an unprecedented focus on oral health behaviour change. Through ongoing and future research, meaningful changes to the oral health of the population through applied behavioural science are in sight.

The integrated common-sense model of illness self-regulation: predicting healthy eating, exercise behaviors, and health among individuals at risk of metabolic syndrome

BACKGROUND

Little is known about the potential mechanisms of healthy eating and exercise change, and design interventions which aim to promote healthy eating and exercise change among individuals at risk of metabolic syndrome. This study aimed to identify key determinants of healthy eating, exercise behaviors, and health among individuals at risk of metabolic syndrome using the integrated common-sense model of illness self-regulation.

METHOD

A cross-sectional study with a multi-wave data collection strategy. A total of 275 participants at risk of metabolic syndrome based on the clinical prediction model were included in the final analysis. Path analysis was employed to explore the pattern of relationships between key variables using AMOS.

RESULTS

The mediation analysis suggested that personal and treatment control, and coherence can positively affect self-reported health via intentions and health behaviors (exercise and healthy eating). Additionally, relationships between self-efficacy (exercise and healthy eating) and health outcomes can be mediated by health behaviors, and both intentions and health behaviors.

CONCLUSIONS

This current research used the integrated common-sense model of illness self-regulation to predict healthy eating, exercise behaviors, and self-reported health among individuals at risk of metabolic syndrome. The results suggested that self-efficacy, intention, consequences, personal control, treatment control, and coherence were the key determinants of behavior and health, which can help design interventions to encourage healthy eating and exercise changes among individuals with a high risk of MetS.

Theoretical and methodological approaches in designing, developing, and delivering interventions for oral health behaviour change

Oral health behaviour change interventions are gaining momentum on a global scale. After lagging behind other disciplines, oral health behaviour change is becoming an area of fast and important development. Theories used in medicine and healthcare more generally are now being applied to oral health behaviour change with varying results. Despite the importance of using theories when designing and developing interventions, the variety and variation of theories available to choose from create a series of dilemmas and potential hazards. Some theories, like the COM-B (Capability, Opportunity, Motivation-Behaviour) model, and frameworks, like the Behaviour Change Wheel might represent areas of opportunity for oral health behaviour change interventions with careful consideration vital. Different methodological approaches to intervention development are actively utilized in oral health with a wide host of potential opportunities. The issue of co-designing and co-developing interventions with intended users and stakeholders from the start is an important component for successful and effective interventions, one that oral health behaviour change interventions need to consistently implement. Oral health behaviour change interventions are utilizing technology-based approaches as a major vehicle for intervention delivery and, innovative solutions are implemented across a wide host of oral health behaviour change interventions. With multiple options for designing, developing, and delivering interventions, careful selection of appropriate, user-inclusive, and adaptable approaches is essential. With a lot of available information and evidence from other disciplines, oral health behaviour change interventions need to reflect on lessons learned in other fields whilst also maximizing the potential of the wide variety of theories, frameworks, methodologies, and techniques available at present.

Using behavioural theory to understand adherence to behaviours that reduce transmission of COVID-19; evidence from the CHARIS representative national study

OBJECTIVES

To examine the ability of four models of behaviour, namely, Protection Motivation Theory (PMT), the Common Sense Self-Regulation Model (CS-SRM), and Social Cognitive Theory and the Reasoned Action Approach (SCT and RAA) to understand adherence to transmission-reducing behaviours (TRBs) advised by national governments for suppression of SARS-CoV2.

DESIGN

A series of six cross-sectional telephone surveys of a random representative sample of adults living in Scotland.

METHODS

Self-reported adherence to three TRBs (physical distancing, wearing a face covering and handwashing), PMT, CS-SRM, and SCT/RAA constructs, and sociodemographic variables were measured each week for 6 weeks (n = ~500 p/w; third June-15th July) via a 15 min telephone survey.

RESULTS

Adherence was high ('Always' or 'Most times') throughout for physical distancing and handwashing, and, when mandated, for wearing a face covering. Older people were more adherent to all TRBs. Constructs from all three models predicted all three TRBs. Intention and self-efficacy (SCT/RAA) were the only beliefs to predict to all three TRBs each week and for all groups equally; intention was the strongest predictor. The predictive utility of PMT and CS-SRM varied by TRB and by group. Of note was the observation that several illness beliefs were associated with adherence only for those who believed they had not had COVID-19.

CONCLUSIONS

The CHARIS project has identified beliefs about specific behaviours, the illness and the risks associated with lower adherence rates that might be addressed in national interventions. It confirms previous findings that some groups show lower levels of adherence and might be specially targeted.

Behavior change in diabetes practitioners: An intervention using motivation, action planning and prompts

OBJECTIVES

It is important for health professionals to have behavior change skills to empower people to manage long-term-conditions. Theoretically derived, competency-based training can be particularly effective where it considers reflective and automatic routes to behavior change. The aim of this study was to develop, deliver and evaluate a motivational, action and prompting behavior change skills intervention for diabetes health practitioners in Scotland, UK.

METHODS

This was a longitudinal intervention study. A 2-day intervention was delivered to 99 health professionals. Participants set behavioral goals to change practice, completing action and coping plans post-training. Motivation and plan quality were evaluated in relation to goal achievement at 6-week follow-up.

RESULTS

Post-training, practitioners could develop high quality work-related action and coping plans, which they were motivated to enact. Although under half responded at follow-up, most reported successful goal achievement. There was no difference in plan quality for goal achievers, non-achievers and non-responders. Barriers and facilitators of behavior change included institutional, service-user and individual factors.

CONCLUSIONS

The intervention successfully used planning to implement participants' behaviour change goals.

PRACTICE IMPLICATIONS

Planning interventions are helpful to support clinicians to change their practice to help people self-manage diabetes care but may not fit demands of day-to-day clinical practice.