Late Breaking Abstract - Increased adherence to Easyhaler DPI controller treatment with electronic sensor monitoring and mobile patient feedback in adult patients with asthma
<bold>Background:</bold> Controller treatment, foremost inhaled corticosteroids, is the cornerstone of asthma treatment. Yet, adherence to it often remains low. <bold>Objectives:</bold> We studied whether adherence to controller medication can be improved by using Easyhaler DPI (EH) with electronic sensor monitoring and mobile patient feedback (Propeller Health) vs usual care. <bold>Methods:</bold> A randomized, open, phase 4 study in patients with suboptimal asthma control (ACT≤19) was conducted in Germany. In 4-week run-in controller inhaler was switched to EH+sensor with no change in the drug substance. Salbutamol EH+sensor was used as reliever. Patients in intervention group (IG) received reminders on controller medication use, whereas those in usual care group (UCG) didn’t. Primary end point was controller adherence during last 6 weeks of the 6-month study. <bold>Results:</bold> Patients in IG (N=78) had a significantly higher mean weekly adherence to controller treatment (79.7 %) vs CG (N=80) (58.9%) (p<0.001) with 73% of those in IG vs 40% in UCG having adherence of > 80% (p<0.001). Difference emerged in the first month and remained for the rest of the study (Figure 1). Mean weekly reliever use was less in IG vs UCG (0.87 vs 1.93 inhalations, p<0.05). <bold>Conclusions:</bold> Inhaler treatment adherence among patients with asthma may be enhanced by Easyhaler DPI with sensor monitoring and mobile patient feedback. <fig><object-id>erj;64/suppl_68/PA796/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>
Authors
- Thomas Schultz
- Margret Jandl (ORCID: https://orcid.org/0000-0001-5964-0211)
- Sabina Wehgartner-Winkler
- Mikko Vahteristo (ORCID: https://orcid.org/0000-0001-9388-3997)
- Athanasios Xanthopoulos (ORCID: https://orcid.org/0000-0003-2554-8630)
- Satu Lähelmä (ORCID: https://orcid.org/0000-0002-3189-8584)
- Michael Sebert
Institutions
- Weizenbaum Institute (DE)
- KUKA (Germany) (DE)
- Keskuslaboratorio (FI)
- Hamburg Institute for Therapy Research (DE)
- IFT Institut für Therapieforschung (DE)
- Gauss Centre for Supercomputing (DE)
- Praxis (EE)
Publication Details
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1183/13993003.congress-2024.pa796
- Primary Topic
- Asthma and respiratory diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00