ABSTRACT
Frameworks to support the application of behaviour change theory to the choice of behaviour change techniques (BCTs) in designing digital behaviour change interventions (DBCIs) are becoming well established, and have been employed by the authors in the development of StopApp. However, guidance on the next stage—effective operationalisation (translation) of these BCTs to a digital context, including the precise delivery and design of “behavioural intervention technology” (BIT) elements, is still in its infancy. This is despite growing recognition of the need to optimise engagement and usability, alongside a theoretical basis, for intervention effectiveness. The aim of this study was to explore methods to translate BCTs into digital content in an accurate and systematic manner. We describe the process of using co-creation (user-led) rather than expert-driven methods in the development of user-facing features and design in StopApp, including the iterative “bottom-up” and “top-down processes” necessary for accurate BCT translation. We found a small disparity between the intended and actual BCT content, reflecting the difficulties of translating BCTs into digital intervention content and the need for better guidance and methodical approaches to enhance this under-researched process. The involvement of our Patient and Public Involvement (PPI) group throughout these processes is described.
ABSTRACT
Smokers who attend NHS Stop Smoking Services (SSS) are four times more likely to stop smoking; however, uptake has been in decline. We report the development of an intervention designed to increase uptake of SSS, from a more motivated self-selected sample of smokers. In Phase 1 we collected data to explore the barriers and facilitators to people using SSS. In Phase 2, data from extant literature and Phase 1 were subject to behavioural analysis, as outlined by the Behaviour Change Wheel (BCW) framework. Relevant Behaviour Change Techniques (BCTs) were identified in order to address these, informing the content of the StopApp intervention. In Phase 3 we assessed the acceptability of the StopApp. Smokers and ex-smokers identified a number of barriers to attending SSS, including a lack of knowledge about what happens at SSS (Capability); the belief that SSS is not easy to access (Opportunity); that there would be 'scare tactics' or 'nagging'; and not knowing anyone who had been and successfully quit (Motivation). The 'StopApp' is in development and will link in with the commissioned SSS booking system. Examples of the content and functionality of the app are outlined. The next phase will involve a full trial to test effectiveness.
ABSTRACT
BACKGROUND: Psychiatric symptoms are a common feature of Huntington's disease (HD) and often precede the onset of motor and cognitive impairments. However, it remains unclear whether psychiatric changes in the preclinical period result from structural change, are a reaction to being at risk or simply a coincidental occurrence. Few studies have investigated the temporal course of psychiatric disorder across the preclinical period. OBJECTIVES: To compare lifetime and current prevalence of psychiatric disorder in presymptomatic gene carriers and non-carriers and to examine the relationship of psychiatric prevalence in gene carriers to temporal proximity of clinical onset. METHODS: Lifetime and current psychiatric histories of 204 at risk individuals (89 gene carriers and 115 non-carriers) were obtained using a structured clinical interview, the Composite International Diagnostic Interview. Psychiatric disorders were classified using both standardised diagnostic criteria and a more subtle symptom based approach. Follow-up of gene carriers (n = 51) enabled analysis of the role of temporal proximity to clinical onset. RESULTS: Gene carriers and non-carriers did not differ in terms of the lifetime frequency of clinical psychiatric disorders or subclinical symptoms. However, gene carriers reported a significantly higher rate of current depressive symptoms. Moreover, the rate of depression increased as a function of proximity to clinical onset. CONCLUSIONS: Affective disorder is an important feature of the prodromal stages of HD. The findings indicate that depression cannot be accounted for by natural concerns of being at risk. There is evidence of a window of several years in which preclinical symptoms are apparent.
