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Objectives: Self‐efficacy is important for adherence to transmission‐reducing behaviours (e.g., physical distancing) as also shown in the CHARIS project. We aimed to show that a theory‐based short message can increase physical distancing self‐efficacy and intentions to keep physical distance. Design: Structured telephone surveys with a randomly selected nationally representative sample of adults in Scotland (N = 497). Methods: Participants were randomly assigned to one of two experimental conditions: message condition (short message to increase self‐efficacy via vicarious experiences, verbal persuasion and emotional arousal) or control condition (no message). Followed by measures for self‐efficacy and intention for physical distancing on 4‐point scales. Adherence to physical distancing was assessed on a 5‐point frequency scale (never – always). Results: Using mediation analyses with bootstrapping procedures, we first confirmed that self‐efficacy was associated indirectly with adherence, via higher intentions in a partial mediation (unstandardized indirect effect.21, 95% CI.18–.25). The message increased self‐efficacy; participants receiving the message reported higher self‐efficacy (M = 4.23, SD =.80) compared to participants in the control condition (M = 4.08, SD =.77; standardized regression coefficient =.19, p <.05) and self‐efficacy affected intention (.48, p <.001). There was a small significant indirect effect of the message on intention via self‐efficacy (unstandardized indirect effect.07, CI.01–.14). Conclusions: Increasing self‐efficacy for physical distancing with a short message can successfully increase intention to physical distance via increased self‐efficacy. As both self‐efficacy and intentions are important predictors of adherence to transmission‐reducing behaviours short messages have potential to limit the spread of COVID‐19. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to evaluate the efficacy of a behaviour change intervention to reduce patient delay with symptoms of acute coronary syndrome. Design: A 3‐arm web‐based, parallel randomized controlled trial. Methods: The intervention comprised 12 behaviour change techniques (BCTs) embedded in a text‐only or text+visual narrative (the techniques were systematically identified through systematic review and a consensus exercise). Between February and November 2017, n = 145 people who had recently experienced acute coronary syndrome were randomly allocated to intervention ('text+visual' or 'text‐only') or control. Intentions to phone an ambulance immediately for acute coronary syndrome symptoms were assessed before and after the intervention using symptom scenarios, and the change in intention was compared across the three groups. Results: Significant increases in intention to phone an ambulance immediately for ACS symptoms were seen following the 'text+visual' intervention but not following 'text‐only' or control. However, the study was underpowered to detect any significant changes in intention between the 3 groups. There were no unintended effects on intentions for non‐urgent symptoms. Conclusions: A 'text+visual' BCT‐based intervention may significantly increase intention to phone an ambulance with symptoms of ACS. Further testing of the effect of the intervention on actual behaviour is required. [ABSTRACT FROM AUTHOR]

Objective: This study sought to integrate the NIH Science of Behaviour Change (SOBC) measures repository comprising measures of putative mechanisms with mechanisms of action (MoA) identified by the Human Behaviour‐Change Project (HBCP). Design: Participants were 30 international experts recruited from professional networks and societies. In three anonymous virtual rounds, experts established consensus on hypothesized links between 26 MoAs and 44 self‐report measures. Methods: In Round 1, experts completed a survey rating agreement with 84 pre‐identified measure‐MoA links and suggested new links. In Round 2, experts discussed 10 links in an online forum, including pre‐identified links with <50% agreement and new links suggested by 20–50% of experts. In Round 3, experts completed a survey rating all links eligible for discussion in Round 2. Results: Twenty‐seven experts completed Round 1, 23 completed Round 2 and 18 completed Round 3. In Round 1, 82 of 84 pre‐identified links reached >50% agreement and 14 new links were suggested by >50% of experts. In Round 2, experts discussed measure‐MoA links and measurement quality. In Round 3, 71 of 96 links reached ≥50% agreement. A total of 167 links reached >50% expert agreement, 33 of which reached ≥90% agreement. Conclusion: By identifying putative mechanisms (HBCP) for the 44 self‐report measures (SOBC), this study advances the cumulation of scientific results and interoperability of resources to facilitate process research. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Purpose: Behaviour change techniques are fundamental to the development of any behaviour change intervention, but surprisingly little is known about their properties. Key questions include when, why, how, in which contexts, for which behaviours, in what combinations, compared with what, and for whom behaviour change techniques are typically effective. The aims of the present paper are to: (1) articulate the scope of the challenge in understanding the properties of behaviour change techniques, (2) propose means by which to tackle this problem, and (3) call scientists to action.Methods: Iterative consensus (O'Connor et al., 2020, Br. J. Psychol., e12468) was used to elicit and distil the judgements of experts on how best to tackle the problem of understanding the nature and operation of behaviour change techniques.Results: We propose a worldwide network of 'Centres for Understanding Behaviour Change' (CUBiC) simultaneously undertaking research to establish what are the single and combined properties of behaviour change techniques across multiple behaviours and populations. We additionally provide a first attempt to systematize an approach that CUBiC could use to understand behaviour change techniques and to begin to harness the efforts of researchers worldwide.Conclusion: Better understanding of behaviour change techniques is vital for improving behaviour change interventions to tackle global problems such as obesity and recovery from COVID-19. The CUBiC proposal is just one of many possible solutions to the problems that the world faces and is a call to action for scientists to work collaboratively to gain deeper understanding of the underpinnings of behaviour change interventions. [ABSTRACT FROM AUTHOR]

Objectives Karasek's job demand-control model postulates that demand, control, and distress are environmental rather than individual features although these levels are often confounded. The objective was to investigate whether job demand, control, and demand × control predict environmental and individual distress in primary care clinicians, and the mediating role of distress in the relationships between demand and control with intention to leave and absenteeism. Design Predictive national survey. Methods We invited 2,079 staff from 99 general practices in the United Kingdom (843 GPs and nurses, 1,236 administrators) to complete postal questionnaires assessing distress, intention to leave, absenteeism, job demand, and control. Random intercept multilevel models and bootstrapped mediation models were run to test the study hypotheses. Results One thousand five hundred and ninety staff completed questionnaires (77% staff-level response rate; complete responses by ≥80% of all workers in 68 work environments). There was evidence of environmental variation between practices in intention to leave, absenteeism, job demand, and control, but not distress. Job demand and control both significantly predicted distress, and control moderated the relationship between demand and distress with the effects of demand being reduced at low levels by high control. A small indirect effect via distress was observed for the relationship between job demand and absenteeism, and between job control and intention to leave. No support was found for environmental effects of work settings on distress, but there was evidence of individual-level effects. Conclusions There is a need for considering environmental and individual levels and a danger of generalizing conclusions from one level to the other. Statement of contribution What is already known on this subject? Karasek's job demand-control model shows consistent prediction of distress in health professionals., Environmental and individual features of distress, demand, and control are often confounded., What does this study add? Nationally representative UK survey of doctors, nurses, and admin primary care staff., Test individual and environment effect of demand and control on distress, absenteeism, leaving intention., Indirect effect of demand on absenteeism via distress and of control on intention to leave via distress. [ABSTRACT FROM AUTHOR]