Improving medication adherence in asthma

In little over a generation, the ingenuity of scientists and clinician researchers has developed inhaled medications and pathway-specific biological agents that control the inflammation and physiology of asthma. Unfortunately, whether it is because of cost or difficulty understanding why or how to use inhaled medications, patients often do not take these medications. The consequences of poor treatment adherence, loss of control and exacerbations, are the same as if the condition remained untreated. Furthermore, poor adherence is difficult to detect without direct measurement. Together this means that poor treatment adherence is easily overlooked and, instead of addressing the cause of poor adherence, additional medicines may be prescribed. In other words, poor treatment adherence is a risk for the patient and adds cost to healthcare systems. In this article, we discuss the rationale for and the delivery of successful interventions to improve medication adherence in asthma. We contextualize these interventions by describing the causes of poor treatment adherence and how adherence is assessed. Finally, future perspectives on the design of new interventions are described

The impact of biofeedback on self-efficacy in adults with asthma: a cross-sectional descriptive survey

Purpose: Educating patients to self-manage chronic diseases such as asthma is a key role for nurses. The success of this education is often limited by low patient self-efficacy. In this study, we hypothesized that the self-efficacy of patients could be enhanced if their education was based on biofeedback of their own self-management, following a nurse led educational intervention. Patients and methods: Patients with severe and uncontrolled asthma from one centre who participated in an eight-month, nurse-led asthma education and dose adjustment Randomised Control Trial (RCT) were studied (NCT02307669). Inhaler adherence and technique of use were objectively assessed using a validated digital device. The data recorded on this device was used as the basis for the individualised biofeedback. The Asthma Self-efficacy Questionnaire was used to assess self-efficacy. Results: A total of 88 participants (44 in each group) completed the asthma self-efficacy questionnaire at the end of the study. The mean overall level of self-efficacy was high across both groups; 91 (8.7), with both biofeedback and standard care groups having similarly high levels of self-efficacy, biofeedback group: 89 (10) and standard care group 93 (6). Self-efficacy was not related to objective measures of adherence at either the start of the study, 68 (26), p=0.23, or the end of the study, 58 (32), p=0.62. It was also not related to peak expiratory flow (PEF) at the end of the study in either group (r2= 0.0245, p=0.14). Self-efficacy was related to asthma control test (ACT), 18 (5.5), p=0.0014 and quality-of-life measures; EuroQol (EQ5D3L) 6.4 (1.5) p=0.02. Conclusion: Repeated nurse-delivered education results in high levels of self-efficacy among patients with severe asthma. A high level of perceived self-efficacy should not be assumed to result in higher inhaler adherence.</p

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. A systematic search of six major databases identified randomised trials of add-on therapy for severe asthma. The relationship between measuring adherence and study outcomes was assessed. An estimate of potential improvements in statistical power and sample size was derived using digitally recorded adherence trial data. 87 randomised controlled trials enrolling 22173 participants were included. Adherence assessment was not reported in 67 trials (n=13931, 63%). Studies that reported adherence used a range of self-report and subjective methods. None of the studies employed an objective assessment of adherence. Studies that reported adherence had a significantly reduced pooled variance in forced expiratory volume in 1 s (FEV1) compared to those that did not assess adherence: s2=0.144 L2 versus s2=0.168 L2, p<0.0001. Power to detect clinically relevant changes in FEV1 was significantly higher in trials that reported adherence assessment (mean power achieved 59% versus 49%). Modelling suggests that up to 50% of variance in FEV1 outcomes is attributable to undetected variations in adherence. Controlling for such variations could potentially halve the required sample size. Few trials of add-on therapy monitor adherence to maintenance inhaled therapy, resulting in a greater variance in trial outcomes and inadequate power for determining efficacy

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.Objectives. Firstly, to compare distribution and accuracy of electronically measured RR (EMRR) and visually measured RR (VMRR). Secondly, to determine whether, and how far in advance, continuous electronic RR monitoring can predict oncoming hypoxic and pyrexic episodes in infectious respiratory disease.Approach.A retrospective cohort study analysing the difference between EMRR and VMRR was conducted using patient data from a large tertiary hospital. Cox proportional hazards models were used to determine whether continuous, EMRR measurements could predict oncoming hypoxic (SpO2 38 °C) episodes.Main results.Data were gathered from 34 COVID-19 patients, from which a total of 3445 observations of VMRR (independent of Hawthorne effect), peripheral oxygen saturation and temperature and 729 117 observations of EMRR were collected. VMRR had peaks in distribution at 18 and 20 breaths per minute. 70.9% of patients would have had a change of treatment during their admission based on the UK's National Early Warning System if EMRR was used in place of VMRR. An elevated EMRR was predictive of hypoxic (hazard ratio: 1.8 (1.05-3.07)) and pyrexic (hazard ratio: 9.7 (3.8-25)) episodes over the following 12 h.Significance.Continuous EMRR values are systematically different to VMRR values, and results suggest it is a better indicator of true RR as it has lower kurtosis, higher variance, a lack of peaks at expected values (18 and 20) and it measures a physiological component of breathing directly (abdominal movement). Results suggest EMRR is a strong marker of oncoming hypoxia and is highly predictive of oncoming pyrexic events in the following 12 h. In many diseases, this could provide an early window to escalate care prior to deterioration, potentially preventing morbidity and mortality. </p