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- Title
Assessing Inhaler Techniques of Asthma Patients Using Aerosol Inhalation Monitors (AIM): A Cross-Sectional Study.
- Authors
Alotaibi, Mansour M.; Hughes, Louise; Ford, William R.
- Abstract
A high percentage of asthma patients have symptoms that are not well controlled, despite effective drugs being available. One potential reason for this may be that poor inhaler technique limits the dose delivered to the lungs, thereby reducing the therapeutic efficacy. The aim of this study was to assess the prevalence of poor inhaler technique in an asthma patient population and to probe the impact of various demographic parameters on technique quality. This study was conducted at community pharmacies across Wales, UK. Patients diagnosed with asthma and 12 years or older were invited to participate. An aerosol inhalation monitor (AIM, Vitalograph®) was used to measure the quality of patient inhaler technique. A total of 295 AIM assessments were carried out. There were significant differences in the quality of inhaler technique across the different inhaler types (p < 0.001, Chi squared). The best technique was associated with dry-powder inhalers (DPI devices, 58% of 72 having good technique), compared with pressurized metered-dose inhalers (pMDI) or pMDIs with a spacer device (18% of 174 and 47% of 49 AIM assessments, respectively). There were some significant associations between gender, age, and quality of inhaler technique, as determined with adjusted odds ratios. It seems that the majority of asthmatic patients were not using their inhalers appropriately. We recommend that healthcare professionals place more emphasis on assessing and correcting inhaler technique, as poor inhaler technique might be responsible for the observed lack of symptom control in the asthma patient population.
- Subjects
WALES; SPIROMETRY equipment; ASTHMA; CONFIDENCE intervals; CROSS-sectional method; DRUGSTORES; NEBULIZERS &; vaporizers; DESCRIPTIVE statistics; RESEARCH funding; DISEASE prevalence; CHI-squared test; INHALATION administration; SOCIODEMOGRAPHIC factors; DATA analysis software; ODDS ratio
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 8, p1125
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11081125