Application of machine learning to support self-management of asthma with mHealth

While there have been several efforts to use mHealth technologies to support asthma management, none so far offer personalised algorithms that can provide real-time feedback and tailored advice to patients based on their monitoring. This work employed a publicly available mHealth dataset, the Asthma Mobile Health Study (AMHS), and applied machine learning techniques to develop early warning algorithms to enhance asthma self-management. The AMHS consisted of longitudinal data from 5,875 patients, including 13,614 weekly surveys and 75,795 daily surveys. We applied several well-known supervised learning algorithms (classification) to differentiate stable and unstable periods and found that both logistic regression and naïve Bayes-based classifiers provided high accuracy (AUC > 0.87). We found features related to the use of quick-relief puffs, night symptoms, frequency of data entry, and day symptoms (in descending order of importance) as the most useful features to detect early evidence of loss of control. We found no additional value of using peak flow readings to improve population level early warning algorithms

Developing theory-based asthma self-management interventions for South Asians and African Americans:A systematic review

PURPOSE: Intervention development guidelines suggest that behavioural interventions benefit from being theory-based. Minority populations typically benefit less from asthma self-management interventions, and the extent to which appropriate theory has been used for culturally tailored interventions has not been addressed. We aimed to determine theory use and theoretical domains targeted in asthma self-management interventions for South Asian and Black populations. METHODS: We systematically searched electronic databases, research registers, manually searched relevant journals and reference lists of reviews for randomised controlled trials of asthma self-management for South Asian and Black populations, and extracted data using the Theory Coding Scheme to inform if/how theory was used and explore its associations with asthma outcomes, and the Theoretical Domains Framework was used to identify targeted theoretical domains and its relationship to effectiveness of asthma outcomes. RESULTS: 20 papers (19 trials) were identified; theory was not extensively used in interventions. It was unclear whether theory use or theoretical domains targeted in interventions improved asthma outcomes. South Asian interventions included 'behavioural regulation', while 'reinforcement' was mostly used in African American interventions. 'Knowledge' was central for all populations, though there were differences related to 'environmental context and resources' e.g., language adaptations for South Asians; asthma resources provided for African Americans. Author descriptions of interventions targeting providers were limited. CONCLUSIONS: There was little evidence of theory-based approaches used in cultural interventions for asthma self-management. Demystifying theoretical concepts (and cultural interpretations of constructs) may provide clarity for 'non-experts', enabling mainstream use of theory-driven approaches in intervention development

General practitioners with a special interest in respiratory medicine:national survey of UK primary care organisations

Non peer reviewedPublisher PD

A woman with asthma: a whole systems approach to supporting self-management

A 35-year-old lady attends for review of her asthma following an acute exacerbation. There is an extensive evidence base for supported self-management for people living with asthma, and international and national guidelines emphasise the importance of providing a written asthma action plan. Effective implementation of this recommendation for the lady in this case study is considered from the perspective of a patient, healthcare professional, and the organisation. The patient emphasises the importance of developing a partnership based on honesty and trust, the need for adherence to monitoring and regular treatment, and involvement of family support. The professional considers the provision of asthma self-management in the context of a structured review, with a focus on a self-management discussion which elicits the patient’s goals and preferences. The organisation has a crucial role in promoting, enabling and providing resources to support professionals to provide self-management. The patient’s asthma control was assessed and management optimised in two structured reviews. Her goal was to avoid disruption to her work and her personalised action plan focused on achieving that goalCase Stud

Implementation of digital health interventions in respiratory medicine:a call to action by the European Respiratory Society m-Health/e-Health Group

An action plan prepared by @EuroRespSoc Group 01.04 (m-health/e-health) concerning the implementation of digital health interventions in respiratory medicine http://bit.ly/2JeEuox

Delivery of supported self-management in remote asthma reviews:a systematic rapid realist review

Abstract Background The COVID‐19 pandemic forced health care systems globally to adapt quickly to remote modes of health care delivery, including for routine asthma reviews. A core component of asthma care is supporting self‐management, a guideline‐recommended intervention that reduces the risk of acute attacks, and improves asthma control and quality of life. Objective We aimed to explore context and mechanisms for the outcomes of clinical effectiveness, acceptability and safety of supported self‐management delivery within remote asthma consultations. Design The review followed standard methodology for rapid realist reviews. An External Reference Group (ERG) provided expert advice and guidance throughout the study. We systematically searched four electronic databases and, with ERG advice, selected 18 papers that explored self‐management delivery during routine asthma reviews. Setting, Participants and Intervention Health care professional delivery of supported self‐management for asthma patients during remote (specifically including telephone and video) consultations. Main Outcome Measures Data were extracted using Context‐Mechanism‐Outcome (C‐M‐O) configurations and synthesised into overarching themes using the PRISMS taxonomy of supported self‐management as a framework to structure the findings. Results The review findings identified how support for self‐management delivered remotely was acceptable (often more acceptable than in‐person consultations), and was a safe and effective alternative to face‐to‐face reviews. In addition, remote delivery of supported self‐management was associated with; increased patient convenience, improved access to and attendance at remote reviews, and offered continuity of care. Discussion Remote delivery of supported self‐management for asthma was generally found to be clinically effective, acceptable, and safe with the added advantage of increasing accessibility. Remote reviews could provide the core content of an asthma review, including remote completion of asthma action plans. Conclusion Our findings support the option of remote delivery of routine asthma care for those who have this preference, and offer healthcare professionals guidance on embedding supported self‐management into remote asthma reviews. Patient and Public Contribution Patient and public contribution was provided by a representative of the Asthma UK Centre for Applied Research (AUKCAR) patient and public involvement (PPI) group. The PPI representative reviewed the findings, and feedback and comments were considered. This lead to further interpretations of the data which were included in the final manuscript