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- W3095636622 abstract "Aim: The Internet-of-Thing (IoT) can support self-management with a broad range of applications. We explored the ‘connected’ features that patients and clinicians want in order to support asthma self-management. Methods: We interviewed a maximum variation sample of patients and clinicians recruited via social media and professional contacts and explored opinions about preferred IoT features. Thematic analysis used the Practical Reviews in Self-Management Support (PRISMS) taxonomy. Descriptive analysis of an online questionnaire enabled triangulation of findings. Results: We interviewed 12 patients, 12 (primary/secondary/tertiary care) clinicians. 140 patients completed questionnaires online. Patients preferred ‘passive’ observation of their status, and wanted real-time advice to support their self-management decisions. Peak flows (24%), pollen, humidity, air temperature (24%), and asthma symptoms(18%) were the data that patients most wanted the system to capture. Detecting incorrect inhaler technique, monitoring medication stock and advice on medication adjustment were the self-management advice wanted by most patients. Clinicians and patients wanted a shift to more flexible consultations and responsive step up/down strategies to maintain control and avoid unnecessary side-effects. Conclusion: We identified a number of features to inform future IoT development to support asthma self-management. We propose a paradigm shift in digitised self-management–from standardised monitoring to a personalised, more fluid approach to support individuals over time." @default.
- W3095636622 created "2020-11-09" @default.
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- W3095636622 date "2020-09-07" @default.
- W3095636622 modified "2023-10-16" @default.
- W3095636622 title "What features do patients and clinicians ‘want’ in the future Internet-Of-Things (IoT) systems for asthma: a mixed method study" @default.
- W3095636622 doi "https://doi.org/10.1183/13993003.congress-2020.1352" @default.
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