Adherence to Long-Acting Inhaler Use for Initial Treatment and Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study.
Hee-Sook SuhMin-Seok ChangIseul YuSunmin ParkJi-Ho LeeSeok Jeong LeeWon Yeon LeeSuk Joong YongSang Ha KimPublished in: Journal of personalized medicine (2022)
We aimed to determine the effect of long-acting inhaler use adherence on acute exacerbations in treatment-naïve patients with chronic obstructive pulmonary disease (COPD) using claims data from the Korean Health Insurance Review and Assessment Service from July 2015−December 2016. Patients with COPD aged ≥ 40 years who used long-acting inhalers were enrolled and observed for 6 months. Medication adherence was determined by the medication possession ratio (MPR); patients were categorized to adherence (MPR ≥ 80%) and non-adherence (MPR < 80%) groups. Ultimately, 3959 patients were enrolled: 60.4% and 39.6% in the adherence and non-adherence groups, respectively. The relative risk of acute exacerbation in the non-adherence group was 1.58 (95% confidence interval [CI] 1.25−1.99) compared with the adherence group. The adjusted logistic regression analysis revealed a relative risk of acute exacerbation in the non-adherence vs. adherence group of 1.68 (95% CI 1.32−2.14) regarding the number of inhalers used. Poor adherence to long-acting inhalers influenced increased acute exacerbation rates among patients with COPD. The acute exacerbation of COPD risk requiring hospitalization or ED visits was high in the non-adherence group, suggesting that efforts to improve medication adherence may help reduce COPD exacerbations even in the initial management of treatment-naïve patients.
Keyphrases
- chronic obstructive pulmonary disease
- respiratory failure
- liver failure
- end stage renal disease
- health insurance
- lung function
- chronic kidney disease
- newly diagnosed
- ejection fraction
- glycemic control
- healthcare
- drug induced
- emergency department
- prognostic factors
- aortic dissection
- type diabetes
- adipose tissue
- cystic fibrosis
- peritoneal dialysis
- intensive care unit
- machine learning
- metabolic syndrome
- air pollution
- patient reported outcomes
- quality improvement
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- combination therapy