Juliet Michelle Foster

[This corrects the article DOI: 10.2196/25879.].

Background: Reliance on short-acting β-2 agonists and nonadherence to maintenance medication are associated with poor clinical outcomes in asthma. Digital health solutions could support optimal medication use and therefore disease control in patients with asthma; however, their use in community settings has not been determined. Objective: The primary objective of this study is to investigate community implementation of the Turbu+ program designed to support asthma self-management, including adherence to budesonide and formoterol (Symbicort) Turbuhaler, a combination inhaler for both maintenance therapy or maintenance and reliever therapy. The secondary objective is to provide health care professionals with insights into how patients were using their medication in real life. Methods: Patients with physician-diagnosed asthma were prescribed budesonide and formoterol as maintenance therapy, at a dose of either 1 inhalation twice daily (1-BID) or 2 inhalations twice daily (2-BID), or as maintenance and reliever therapy (1-BID and reliever or 2-BID and reliever in a single inhaler), and they received training on Turbu+ in secondary care centers across Italy. An electronic device attached to the patients’ inhaler for ≥90 days (data cutoff) securely uploaded medication use data to a smartphone app and provided reminders, visualized medication use, and motivational nudge messages. Average medication adherence was defined as the proportion of daily maintenance inhalations taken as prescribed (number of recorded maintenance actuations per day or maintenance inhalations prescribed per day) averaged over the monitoring period. The proportion of adherent days was defined as the proportion of days when all prescribed maintenance inhalations were taken on a given day. The Wilcoxon test was used to compare the proportion of adherent days between patients in the maintenance regimen and patients in the maintenance and reliever regimen of a given dose. Results: In 661 patients, the mean (SD) number of days monitored was 217.2 (SD 109.0) days. The average medication adherence (maintenance doses taken/doses prescribed) was 70.2% (108,040/153,820) overall and was similar across the groups (1-BID: 6332/9520, 66.5%; 1‑BID and reliever: 43,578/61,360, 71.0%; 2-BID: 10,088/14,960, 67.4%; 2-BID and reliever: 48,042/67,980, 70.7%). The proportion of adherent days (prescribed maintenance doses/doses taken in a given day) was 56.6% (31,812/56,175) overall and was higher with maintenance and reliever therapy (1-BID and reliever vs 1-BID: 18,413/30,680, 60.0% vs 2510/4760, 52.7%; P<.001; 2-BID and reliever vs 2-BID: 8995/16,995, 52.9% vs 1894/3740, 50.6%; P=.02). Rates of discontinuation from the Turbu+ program were significantly lower with maintenance and reliever therapy compared with maintenance therapy alone (P=.01). Conclusions: Overall, the high medication adherence observed during the study might be attributed to the electronic monitoring and feedback mechanism provided by the Turbu+ program.

Rationale: Poor adherence with asthma controller medication contributes to worse symptom control and increased exacerbation risk. Adherence is often expressed as the mean proportion of prescribed doses taken over a period of 6–12 months. New metrics may capture individual day-to-day variability patterns linked with distinct clinical outcomes. Objectives: To test the hypotheses that novel time- and dose-based adherence variability metrics offer independent value to mean adherence in identifying distinct adherence patterns that are associated with symptom control (Asthma Control Test [ACT] score) and exacerbation risk, using electronically recorded medication data from a 6-month cluster randomized trial examining the effect of inhaler reminders on adherence. Methods: Adherence metrics were calculated from the first 2 months (Months 0–2) of the study period. In addition to mean adherence (percentage prescribed puffs/day taken), we examined novel metrics, including time adherence area under the curve (T-AUC), reflecting cumulative gaps in adherence over time; entropy, reflecting disorder in the ways in which a patient changed their medication dose adherence from day to day; and standard deviation of the percentage prescribed puffs/day taken. Dominant metrics identified from factor analysis were included in hierarchical clustering analysis. We compared the resultant clusters in terms of outcomes over Months 2–6 and exacerbation risk over the entire study period. Results: Two factors explained >65% of the total variance in adherence, primarily driven by T-AUC and entropy. Two main patient clusters based on their adherence metrics were identified: cluster 1 (high time adherence, n = 75) had better T-AUC (i.e., fewer gaps between medication-taking days) than cluster 2 (low time adherence, n = 23). Though both clusters had similar symptom control at 2 months, cluster 1 showed less subsequent decline in ACT over Months 2–6 (median [interquartile range] change in ACT score: 1 [−1 to 4] vs. −2 [−3.75 to 0.75]; P = 0.012), and had better symptom control at 6 months (ACT score: 20 [17–23] vs. 17 [15–20]; P = 0.034). There were no significant differences between the clusters in terms of proportion of exacerbators or time to exacerbation. Conclusions: Novel metrics showed that low time adherence was associated with greater risk of decline in asthma symptom control. Adherence patterns may exhibit “memory” relevant to future clinical status, warranting validation in a larger dataset.

Objectives As-needed low-dose combination budesonide-formoterol is recommended by asthma guidelines in many countries as an alternative to maintenance inhaled corticosteroids (ICS) for treatment of mild asthma, but there are few data on patient attitudes toward these regimens. This study explored the comparative implementation experiences and future treatment preferences of mild asthma patients who had experienced these two treatment regimens. Setting A subgroup of adults randomised to maintenance ICS or as-needed ICS-formoterol in a multinational, 52-week open-label randomised controlled trial (NovelSTART) in mild asthma patients were interviewed to explore their motivations for treatment use during the study and their preferences for future treatment. Participants Semistructured interviews were conducted with 74 participants (Maintenance group: n=39, As-needed group n=35, mean age 38 (range 19–69)) and thematically analysed from transcribed audiorecordings. Results Emergent themes from analysis comprised: ‘How much my asthma affects me’ (how their asthma’s impact affected their self-management motivation); ‘What I know about asthma’ (limited knowledge impeded appropriate self-management decision making); ‘How much effort this treatment regimen involves for me’ (treatment complexity and/or difficulty establishing a medication routine impeded implementation, particularly in the Maintenance group); and ‘My beliefs about the benefits and risks of this treatment’ (patients who considered their treatment as ineffective, eg, limited difference in symptoms relative to salbutamol (both groups) or slower onset of relief (As-needed group) had poor motivation to use the treatment). Due to the simplicity of the as-needed combination strategy, this was the preferred future regimen, even by patients who had not yet tried it. Conclusions Key patient perspectives on the implementation of preventer treatments for mild asthma included factors relating to perceived asthma burden, disease knowledge, treatment complexity and treatment usefulness or safety. The as-needed budesonide-formoterol regimen was preferred to maintenance ICS treatment in mild asthma though patient education is urgently needed to address implementation motivation. Trial registration number ACTRN12615000999538.

Purpose: To evaluate the effectiveness of a pilot community pharmacy care model for patients with chronic obstructive pulmonary disease (COPD) to improve: 1) inhaler technique; 2) medication adherence; and 3) uptake of non-pharmacological treatment and prevention activities. Patients and Methods: Forty “host” pharmacies in Sydney were invited to recruit eligible patients and to provide a counselling room/area in their pharmacy for service provision. Eligible patients were referred to two “consultant” pharmacists, specifically trained to deliver a specialized pharmacy COPD service which involved 3 in-pharmacy visits and 2 follow-up phone calls over a 6-month period. The service consisted of 1) inhaler technique assessment; 2) medication adherence assessment; and 3) referrals to the patient’s general practitioner (GP) to facilitate the uptake of non-pharmacological resources as well as to review COPD medications/devices, as required. Pre-post analyses were conducted using paired Student’s t-test and Wilcoxon Signed Rank Test for independent variables and chi-squared tests for proportional data. Results: Nine “host” pharmacies recruited 40 patients, of whom 37 completed the baseline Visit and 27 completed all Visits. A total of 270 interventions were provided by the “consultant” pharmacists with most provided at Visit 1 (176). The most common interventions were addressing patient gaps in COPD knowledge and inhaler technique. A total of 119 referrals were made to GPs for various reasons, the most common being for a COPD action plan, pulmonary rehabilitation, or pneumonia vaccination. There were significant improvements pre-post intervention in inhaler use competence, COPD knowledge, immunization rate for pneumonia, exacerbation rate and COPD plan ownership. Conclusion: In this pilot study, the specialized pharmacy-based COPD care model delivered by “consultant” pharmacists in community pharmacies provided significant health benefits for patients. Further research is needed to assess the model’s effectiveness in a larger population as well as when measured against standard care.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Reliance on short-acting β-2 agonists and nonadherence to maintenance medication are associated with poor clinical outcomes in asthma. Digital health solutions could support optimal medication use and therefore disease control in patients with asthma; however, their use in community settings has not been determined. Objective: The primary objective of this study is to investigate community implementation of the Turbu+ program designed to support asthma self-management, including adherence to budesonide and formoterol (Symbicort) Turbuhaler, a combination inhaler for both maintenance therapy or maintenance and reliever therapy. The secondary objective is to provide health care professionals with insights into how patients were using their medication in real life. Methods: Patients with physician-diagnosed asthma were prescribed budesonide and formoterol as maintenance therapy, at a dose of either 1 inhalation twice daily (1-BID) or 2 inhalations twice daily (2-BID), or as maintenance and reliever therapy (1-BID and reliever or 2-BID and reliever in a single inhaler), and they received training on Turbu+ in secondary care centers across Italy. An electronic device attached to the patients’ inhaler for ≥90 days (data cutoff) securely uploaded medication use data to a smartphone app and provided reminders, visualized medication use, and motivational nudge messages. Average medication adherence was defined as the proportion of daily maintenance inhalations taken as prescribed (number of recorded maintenance actuations per day or maintenance inhalations prescribed per day) averaged over the monitoring period. The proportion of adherent days was defined as the proportion of days when all prescribed maintenance inhalations were taken on a given day. The Wilcoxon test was used to compare the proportion of adherent days between patients in the maintenance regimen and patients in the maintenance and reliever regimen of a given dose. Results: In 661 patients, the mean (SD) number of days monitored was 217.2 (SD 109.0) days. The average medication adherence (maintenance doses taken/doses prescribed) was 70.2% (108,040/153,820) overall and was similar across the groups (1-BID: 6332/9520, 66.5%; 1‑BID and reliever: 43,578/61,360, 71.0%; 2-BID: 10,088/14,960, 67.4%; 2-BID and reliever: 48,042/67,980, 70.7%). The proportion of adherent days (prescribed maintenance doses/doses taken in a given day) was 56.6% (31,812/56,175) overall and was higher with maintenance and reliever therapy (1-BID and reliever vs 1-BID: 18,413/30,680, 60.0% vs 2510/4760, 52.7%; P<.001; 2-BID and reliever vs 2-BID: 8995/16,995, 52.9% vs 1894/3740, 50.6%; P=.02). Rates of discontinuation from the Turbu+ program were significantly lower with maintenance and reliever therapy compared with maintenance therapy alone (P=.01). Conclusions: Overall, the high medication adherence observed during the study might be attributed to the electronic monitoring and feedback mechanism provided by the Turbu+ program.

The TSANZ develops position statements where insufficient data exist to write formal clinical guidelines. In 2018, the TSANZ addressed the question of potential benefits and health impacts of electronic cigarettes (EC). The working party included groups focused on health impacts, smoking cessation, youth issues and priority populations. The 2018 report on the Public Health Consequences of E‐Cigarettes from the United States NASEM was accepted as reflective of evidence to mid‐2017. A search for papers subsequently published in peer‐reviewed journals was conducted in August 2018. A small number of robust and important papers published until March 2019 were also identified and included. Groups identified studies that extended, modified or contradicted the NASEM report. A total of 3793 papers were identified and reviewed, with summaries and draft position statements developed and presented to TSANZ membership in April 2019. After feedback from members and external reviewers, a collection of position statements was finalized in December 2019. EC have adverse lung effects and harmful effects of long‐term use are unknown. EC are unsuitable consumer products for recreational use, part‐substitution for smoking or long‐term exclusive use by former smokers. Smokers who require support to quit smoking should be directed towards approved medication in conjunction with behavioural support as having the strongest evidence for efficacy and safety. No specific EC product can be recommended as effective and safe for smoking cessation. Smoking cessation claims in relation to EC should be assessed by established regulators.

Objective: This pilot aimed to test the engagement, acceptability, and usefulness of a goal-setting smartphone app, Kiss myAsthma, in young people with asthma. Methods: Young people aged 15–24 years old were invited to trial a smartphone app for asthma management. A mixed-methods approach combined quantitative analysis of self-report questionnaires and app usage log data with qualitative thematic analysis of open-ended questions at baseline and six weeks after downloading the app. App log data (pages visited, frequency of use and content of participants interaction, e.g.goals set, symptoms recorded) were analyzed. Results: Nine of 12 participants completed both baseline and six-week questionnaires. Participants reported high satisfaction with app content and usability (median score 5 out of 6 [range 4–6]) and rated the app highly on “having easier discussions with my doctor about asthma” and “feeling confident in my ability to manage my asthma.” At six weeks there was a clinically significant change in asthma quality of life (e.g. Emotional Function domain score baseline: 4.7 [2.7–6.3], follow-up: 5.7 [4.7–6.7]; p = 0.043). Participants logged information about asthma severity, flare-ups and mood and tracked their symptoms with the app’s History functionality. Five participants (42%) nominated goals and strategies and 3 participants (25%) entered data in the Inspiration section, a tool to support intrinsic motivation to manage asthma. Qualitative data aligned with quantitative results. Conclusions: This six-week pilot of the Kiss myAsthma app showed its potential to support self-management, quality of life and health behavior change in young people with asthma.

Objectives: Inappropriate medication prescribing is a recognized clinical problem in nursing home residents of whom many have polypharmacy. However, results about the effectiveness of medication reviews targeted at improving prescribing and deprescribing have been equivocal. We therefore examined barriers and facilitators of conducting medication reviews. Method: We purposively sampled medication reviews to capture salient barriers and facilitators of conducting medication reviews both in nursing home care units for dementia and disabling conditions. We held semi-structured interviews about consecutive steps of medication reviews. Interviews were transcribed verbatim and analyzed with the ‘method of constant comparison’. Results: Six nursing home residents/relatives of nursing home residents, 8 elder care physicians, 5 pharmacists, and 10 nurses took part in the semi-structured interviews. We observed 4 overarching themes of barriers and facilitators: ‘Realizing fidelity of the patient perspective (theme 1)’, ‘Level of comprehensiveness of medication reviews (theme 2)’, ‘Inclinations of healthcare providers (theme 3)’, and ‘Inter-professional collaboration and alliances’ (theme 4)’. Theme 1 ‘Realizing fidelity of the patient perspective’ referred to the observation that assessing the patient perspective was a delicate balance between the value and the impediments of a proper assessment of the patient perspective. Theme 2 ‘Level of comprehensiveness of medication reviews’ reflected the struggle of practitioners to find an optimum between medication reviews being both comprehensive and feasible. Theme 3 ‘Inclinations of healthcare providers’ concerned setting intervention targets that were complementary to the practices of physicians and keeping the pharmacist blind to the patient perspective as a countermeasure to physicians’ inclinations. Finally, theme 4 ‘Inter-professional collaboration and alliances’ highlighted mutual support and inter-professional collaboration to strengthen healthcare practitioners’ contributions. Discussion: These themes of barriers and facilitators emphasize the need to improve meta-communication during the medication review process. This pertains to the need for healthcare providers to appraise the fidelity of the patient perspective in a dialogue with residents/relatives. Furthermore, discourse between healthcare practitioners is needed beforehand about the comprehensiveness, intervention targets and inter-professional collaboration.