BeCurious: Tailored Real-Time Behavioural and Emotional Support for People Living with Chronic Disease
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Abstract
Personalised planning of care, including a collaborative care approach, is required to facilitate meaningful management plans. Whilst many technologies support the collation of health and fitness information, and much has been done to understand how technology can be used to support behavioural change, less is understood about how to support personalised planning of care and subsequent day to day support with interventions supported by technology. In addition, a large component of care planning in chronic disease management relates to supporting the emotional well-being of the patient. At the level of general difficulties in coping, it is estimated, for example, that some 60 per cent of adults with diabetes report at least one troublesome concern or emotional difficulty related to diabetes, and some 40 per cent of adults with diabetes suffer from poor psychological wellbeing.
Our research focuses on exploring how technology could support the patient-clinician encounter in determining a care plan that identifies quantitative and qualitative goals, and support day to day personalised care and emotional well-being that extend beyond the encounter itself.
BeCurious is a mobile health application that helps patients to manage a chronic disease and its related symptoms by integrating a set of components that are configured for each patient with the help of the health worker. Components incorporate support for goal-setting, emotional well-being, and social support. With clinician expertise, we have developed a support framework comprising motivational goals for each stage of change for specific diseases, and developed a set of possible design solutions for each goal. Initial suggestions for the care plan, affirming reassurances and coping strategies, are based on the behavioural change model, The Transtheoretical Model, and the stage in the progression of the disease. Still at experimental stage, we are currently evaluating the perceived usefulness of the design solutions for diabetes with specialist nurses and exploring how they could be incorporated effectively in the patient-clinician encounter.
Other components in the mobile health application support patient data input and monitoring; they include disease specific feedback, such as pain level, and general feedback, such as mood assessment. Patient input helps to personalise the support given to the patient beyond the encounter with the clinician and enables tailored real-time interventions “in the momentâ€. Again, still at experimental stage, we are exploring patients’ reaction to such a design solution based on a prototype and evaluating whether we should take the application to a formal trial.
Whilst the support offered by the mobile application is intended to be complementary to the relationship between the health professional and the patient, it is expected to provide a level of support, including emotional support, tailored to the individual beyond the encounter itself to some patients.
Our research focuses on exploring how technology could support the patient-clinician encounter in determining a care plan that identifies quantitative and qualitative goals, and support day to day personalised care and emotional well-being that extend beyond the encounter itself.
BeCurious is a mobile health application that helps patients to manage a chronic disease and its related symptoms by integrating a set of components that are configured for each patient with the help of the health worker. Components incorporate support for goal-setting, emotional well-being, and social support. With clinician expertise, we have developed a support framework comprising motivational goals for each stage of change for specific diseases, and developed a set of possible design solutions for each goal. Initial suggestions for the care plan, affirming reassurances and coping strategies, are based on the behavioural change model, The Transtheoretical Model, and the stage in the progression of the disease. Still at experimental stage, we are currently evaluating the perceived usefulness of the design solutions for diabetes with specialist nurses and exploring how they could be incorporated effectively in the patient-clinician encounter.
Other components in the mobile health application support patient data input and monitoring; they include disease specific feedback, such as pain level, and general feedback, such as mood assessment. Patient input helps to personalise the support given to the patient beyond the encounter with the clinician and enables tailored real-time interventions “in the momentâ€. Again, still at experimental stage, we are exploring patients’ reaction to such a design solution based on a prototype and evaluating whether we should take the application to a formal trial.
Whilst the support offered by the mobile application is intended to be complementary to the relationship between the health professional and the patient, it is expected to provide a level of support, including emotional support, tailored to the individual beyond the encounter itself to some patients.
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