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

Authors :
Mommers I
van Boven JFM
Schuiling-Veninga CCM
Bos JHJ
Koetsier M
Hak E
Bijlsma MJ
Source :
Clinical epidemiology [Clin Epidemiol] 2023 Jun 14; Vol. 15, pp. 721-732. Date of Electronic Publication: 2023 Jun 14 (Print Publication: 2023).
Publication Year :
2023

Abstract

Purpose: 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.<br />Patients and Methods: 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.<br />Results: 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.<br />Conclusion: 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.<br />Competing Interests: Dr Job FM van Boven reports grants and/or personal fees from AstraZeneca, Chiesi, GSK, Novartis, Teva, and Trudell Medical, outside the submitted work. The authors report no other conflicts of interest in this work.<br /> (© 2023 Mommers et al.)

Details

Language :
English
ISSN :
1179-1349
Volume :
15
Database :
MEDLINE
Journal :
Clinical epidemiology
Publication Type :
Academic Journal
Accession number :
37337562
Full Text :
https://doi.org/10.2147/CLEP.S410036