A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes: a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback.

BACKGROUND: Mobile health technologies have advanced to now allow monitoring of the acute physiological responses to lifestyle behaviours. Our aim was to explore how people engaged with real-time feedback on their physical activity and glucose levels over several weeks. METHODS: Semi-structured interviews with 26 participants (61.5% female, 56.6 years) at moderate-to-high risk of developing type 2 diabetes were conducted. Interviews were completed after participants took part in an intervention comprising a flash glucose monitor (Freestyle Libre) and a physical activity monitor (Fitbit Charge 2). Purposive sampling ensured representation of ages, genders and group allocations. RESULTS: Inductive thematic analysis revealed how individuals intuitively used, interpreted and acted on feedback from wearable technologies. Six key themes emerged: triggers of engagement with the technologies, links between behaviour and health, lack of confidence, changes to movement behaviours, changes to diet and barriers to lifestyle behaviour change. CONCLUSIONS: Our findings demonstrate that accessing behavioural and physiological feedback can increase self-awareness of how lifestyle impacts short-term health. Some participants noticed a link between the feedback presented by the two devices and changed their behaviour but many did not. Training and educational support, as well as efforts to optimize how feedback is presented to users, are needed to sustain engagement and behaviour change. Extensions of this work to involve people with diabetes are also warranted to explore whether behavioural and physiological feedback in parallel can encourage better diabetes self-management. TRIAL REGISTRATION: ISRCTN Registry, ISRCTN17545949 , 12/05/2017, prospectively registered.

The PRISMS taxonomy of self-management support: derivation of a novel taxonomy and initial testing of its utility.

BACKGROUND: Supporting self-management is a core response of health care systems globally to the increasing prevalence of long-term conditions. Lack of a comprehensive taxonomy (or classification) of self-management support components hinders characterization and, ultimately, understanding of these frequently complex, multi-component interventions. OBJECTIVE: To develop a comprehensive, descriptive taxonomy of self-management support components. METHODS: Components were derived from the 969 unique randomized controlled trials described in the 102 systematic reviews and 61 implementation trials, examining 14 diverse long-term conditions included in the Practical Reviews in Self-Management Support (PRISMS) project followed by discussion at an expert stakeholder workshop. The utility of the taxonomy was then tested using a self-management support intervention for cancer survivors. RESULTS: The PRISMS taxonomy comprises 14 components that might be used to support self-management (e.g. information about condition/management, provision of equipment, social support), when delivered to someone with a long-term condition or their carer. Overarching dimensions are delivery mode; personnel delivering the support; intervention targeting; and intensity, frequency and duration of the intervention. The taxonomy does not consider the effectiveness or otherwise of the different components or the overarching dimensions. CONCLUSIONS: The PRISMS taxonomy offers a framework to researchers describing self-management support interventions, to reviewers synthesizing evidence and to developers of health services for people with long-term conditions.