Long-Term Cost-Effectiveness of Digital Inhaler Adherence Technologies in Difficult-to-Treat Asthma.

Background: Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management, and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.

Objective: We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.

Methods: A model-based cost-utility analysis was performed.

The effectiveness of continuous respiratory rate monitoring in predicting hypoxic and pyrexic events: a retrospective cohort study.

Respiratory rate (RR) is routinely used to monitor patients with infectious, cardiac and respiratory diseases and is a component of early warning scores used to predict patient deterioration. However, it is often measured visually with considerable bias and inaccuracy..

Patient-Selected Treatment Goals in Severe Asthma.

Background: Goal-orientated health care accounts for patient preferences and values, not just physician treatment aims. The Global Initiative for Asthma (GINA) management strategy states that clinicians should elicit patients' own treatment goals as a central part of care. Despite this recommendation, data on patients' treatment goals are sparse among patients with severe asthma.

Personalized Biofeedback on Inhaler Adherence and Technique by Community Pharmacists: A Cluster Randomized Clinical Trial.

Background: Guidelines recommend that patients treated with inhalers receive adherence counseling and device training. Digital technologies that assess both inhaler adherence and technique have been developed. Using these technologies community pharmacists, who have regular contact with patients, are well placed to deliver personalized inhaler education.

Inadequate assessment of adherence to maintenance medication leads to loss of power and increased costs in trials of severe asthma therapy: results from a systematic literature review and modelling study.

Adherence to inhaled maintenance therapy in severe asthma is rarely adequately assessed, and its influence on trial outcomes is unknown. We systematically determined how adherence to maintenance therapy is assessed in clinical trials of "add-on" therapy for severe asthma. We model the improvement in trial power that could be achieved by accurately assessing adherence.