Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records

Holly Tibble, Holly Tibble, Aziz Sheikh, Aziz Sheikh, Aziz Sheikh, Athanasios Tsanas, Athanasios Tsanas, Athanasios Tsanas

2022

Abstract

Asthma is a common chronic lung disease which can be effectively managed for most people through regular use of inhaled controller therapy. Short-acting Beta-2 Agonists (symptom relievers; SABA) may also be prescribed to be used as needed, however over-reliance may indicate poor symptom control. SABA usage can be estimated from refill rate observed in prescribing records. This study was a secondary analysis of a Scottish longitudinal dataset of linked primary and secondary care data. The aims of this study were to estimate the mean inhaled SABA dose per day for people diagnosed with asthma in a large EHR database, and to examine variation by demographic factors such as age, sex, and social deprivation. The prescriptions dataset contained over 40 million prescriptions between 2009 and 2017. 1,987,119 asthma reliever prescription records were identified (5% of all prescriptions), of which 97% were inhaled formulations. The Spearman correlation coefficient between subsequent years of aggregated (median) daily estimated SABA from one person-year to the next was 0.67. Higher median daily inhaled SABA amounts were statistically significantly associated (Wilcoxon Rank-Sum test p-value<0.05) with being older, male, living in an area of higher deprivation, and any non-inhaled SABA prescription.

Paper Citation

in Harvard Style

Tibble H., Sheikh A. and Tsanas A. (2022). Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: SERPICO, ISBN 978-989-758-552-4, pages 311-318. DOI: 10.5220/0010954700003123

in Bibtex Style

@conference{serpico22,
author={Holly Tibble and Aziz Sheikh and Athanasios Tsanas},
title={Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: SERPICO,},
year={2022},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010954700003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: SERPICO,
TI - Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records
SN - 978-989-758-552-4
AU - Tibble H.
AU - Sheikh A.
AU - Tsanas A.
PY - 2022
SP - 311
EP - 318
DO - 10.5220/0010954700003123