Real-World Dispensing Patterns of Inhalation Medication in Young Adult Asthma: An Inception Cohort Study

• Published in: Clinical epidemiology Vol. 15; pp. 721 - 732
• Main Authors: Mommers, Irene, van Boven, Job F M, Schuiling-Veninga, Catharina C M, Bos, Jens H J, Koetsier, Marten, Hak, Eelko, Bijlsma, Maarten J
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2023; Dove; Dove Medical Press
• Subjects: Algorithms; Analysis; Asthma; asthma management; Ciclesonide; Drug therapy; Drugstores; inhaler medication; longitudinal; observational; Original Research; Patient compliance; personalized medicine; Pharmacy; respiratory disease; Teenagers; Terbutaline; Tiotropium; Youth; Netherlands; asthma management; observational; longitudinal; inhaler medication; respiratory disease; personalized medicine
• ISSN: 1179-1349; 1179-1349
• DOI: 10.2147/CLEP.S410036

The Global Initiative for Asthma (GINA) suggests a step-wise approach for pharmacological treatment of asthma. Valid study of real-world treatment patterns using dispensing databases includes proper measurement of medication adherence. We aim to explore such patterns by applying a time-varying proportion of days covered (tPDC)-based algorithm. We designed a retrospective inception cohort study using the University of Groningen IADB.nl community pharmacy dispensing database. Included were 19,184 young adults who initiated asthma medication anywhere between 1994 and 2021, in the Netherlands. Main treatment steps were defined as: 1 - SABA/ICS-formoterol as needed, 2 - low dose ICS, 3 - low dose ICS + LABA or tiotropium, or intermediate dose ICS, 4 - intermediate to high dose ICS + LABA or tiotropium, triple therapy, or high dose ICS, 5 - treatment prescribed by a specialist. Changes in treatment steps were determined using a time-varying proportion of days covered (tPDC)-based algorithm. Individual drug treatment trajectories were visualized over time using a lasagna plot. At initiation, of the 19,184 included individuals, 52%, 7%, 15%, 16%, and 10% started treatment in steps 1 to 5, respectively. The median (IQR) follow-up time was 3 (1-7) years. Median (IQR) number of switches was 1 (0-3). Comparing starting step to last observed step, 37% never switched between treatment steps, 20% of individuals stepped down and 22% stepped up. The low proportion of treatment switches between steps indicates that tailoring of treatment to patients' needs might be suboptimal. The tPDC-based algorithm functions well in translating dispensing data into continuous drug-utilization data, enabling a more granular assessment of treatment patterns among asthma patients.