Heterogeneity in asthma medication adherence measurement

Holly Tibble; Amy Chan; Edwin A. Mitchell; Rob Horne; Mehrdad A. Mizani; Aziz Sheikh; Athanasios Tsanas

doi:10.1109/BIBE.2019.00168

Heterogeneity in asthma medication adherence measurement

Holly Tibble, Amy Chan, Edwin A. Mitchell, Rob Horne, Mehrdad A. Mizani, Aziz Sheikh, Athanasios Tsanas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Medication non-adherence is strongly associated with poor asthma control and outcomes. Many studies use an aggregate measure of adherence, such as the percentage of prescribed doses that were taken, however this conceals variation between patients' medication-taking routines. Electronic monitoring devices, which precisely record the date and time of a dose being actuated from an inhaler, provide the means to objectively and remotely monitor adherence behavior patterns. This secondary analysis of a New Zealand audio-visual medication reminder intervention study visually explored the relationships, variation, and heterogeneity between multiple measures of adherence, in 211 children aged 6-15 years old who presented to an emergency department with an asthma attack. Our findings highlight the weakness of statistical relationships between measures of adherence, and the irregularity in patient medication-taking behavior. This demonstrates that a single aggregate adherence measure fails to detect asthma patients for whom their day-to-day medication taking (implementation) is inconsistent with their longitudinal medication taking (persistence).

Original language	English
Title of host publication	Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Publisher	Institute of Electrical and Electronics Engineers
Pages	899-903
Number of pages	5
ISBN (Electronic)	9781728146171
DOIs	https://doi.org/10.1109/BIBE.2019.00168
Publication status	Published - 28 Oct 2019
Event	19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece Duration: 28 Oct 2019 → 30 Oct 2019

Publication series

Name	Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

Conference

Conference	19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Country/Territory	Greece
City	Athens
Period	28/10/19 → 30/10/19

Keywords / Materials (for Non-textual outputs)

Adherence
Asthma
Electronic monitoring
Medication
Pediatric

Access to Document

10.1109/BIBE.2019.00168

https://ieeexplore.ieee.org/document/8941639

Cite this

Tibble, H., Chan, A., Mitchell, E. A., Horne, R., Mizani, M. A., Sheikh, A., & Tsanas, A. (2019). Heterogeneity in asthma medication adherence measurement. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 (pp. 899-903). Article 8941639 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BIBE.2019.00168

Tibble, Holly ; Chan, Amy ; Mitchell, Edwin A. et al. / Heterogeneity in asthma medication adherence measurement. Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers, 2019. pp. 899-903 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

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title = "Heterogeneity in asthma medication adherence measurement",

abstract = "Medication non-adherence is strongly associated with poor asthma control and outcomes. Many studies use an aggregate measure of adherence, such as the percentage of prescribed doses that were taken, however this conceals variation between patients' medication-taking routines. Electronic monitoring devices, which precisely record the date and time of a dose being actuated from an inhaler, provide the means to objectively and remotely monitor adherence behavior patterns. This secondary analysis of a New Zealand audio-visual medication reminder intervention study visually explored the relationships, variation, and heterogeneity between multiple measures of adherence, in 211 children aged 6-15 years old who presented to an emergency department with an asthma attack. Our findings highlight the weakness of statistical relationships between measures of adherence, and the irregularity in patient medication-taking behavior. This demonstrates that a single aggregate adherence measure fails to detect asthma patients for whom their day-to-day medication taking (implementation) is inconsistent with their longitudinal medication taking (persistence).",

keywords = "Adherence, Asthma, Electronic monitoring, Medication, Pediatric",

author = "Holly Tibble and Amy Chan and Mitchell, {Edwin A.} and Rob Horne and Mizani, {Mehrdad A.} and Aziz Sheikh and Athanasios Tsanas",

year = "2019",

month = oct,

day = "28",

doi = "10.1109/BIBE.2019.00168",

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publisher = "Institute of Electrical and Electronics Engineers",

pages = "899--903",

booktitle = "Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019",

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Tibble, H, Chan, A, Mitchell, EA, Horne, R, Mizani, MA, Sheikh, A & Tsanas, A 2019, Heterogeneity in asthma medication adherence measurement. in Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019., 8941639, Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, Institute of Electrical and Electronics Engineers, pp. 899-903, 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, Athens, Greece, 28/10/19. https://doi.org/10.1109/BIBE.2019.00168

Heterogeneity in asthma medication adherence measurement. / Tibble, Holly; Chan, Amy; Mitchell, Edwin A. et al.
Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers, 2019. p. 899-903 8941639 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Tibble, Holly

AU - Chan, Amy

AU - Mitchell, Edwin A.

AU - Horne, Rob

AU - Mizani, Mehrdad A.

AU - Sheikh, Aziz

AU - Tsanas, Athanasios

PY - 2019/10/28

Y1 - 2019/10/28

N2 - Medication non-adherence is strongly associated with poor asthma control and outcomes. Many studies use an aggregate measure of adherence, such as the percentage of prescribed doses that were taken, however this conceals variation between patients' medication-taking routines. Electronic monitoring devices, which precisely record the date and time of a dose being actuated from an inhaler, provide the means to objectively and remotely monitor adherence behavior patterns. This secondary analysis of a New Zealand audio-visual medication reminder intervention study visually explored the relationships, variation, and heterogeneity between multiple measures of adherence, in 211 children aged 6-15 years old who presented to an emergency department with an asthma attack. Our findings highlight the weakness of statistical relationships between measures of adherence, and the irregularity in patient medication-taking behavior. This demonstrates that a single aggregate adherence measure fails to detect asthma patients for whom their day-to-day medication taking (implementation) is inconsistent with their longitudinal medication taking (persistence).

AB - Medication non-adherence is strongly associated with poor asthma control and outcomes. Many studies use an aggregate measure of adherence, such as the percentage of prescribed doses that were taken, however this conceals variation between patients' medication-taking routines. Electronic monitoring devices, which precisely record the date and time of a dose being actuated from an inhaler, provide the means to objectively and remotely monitor adherence behavior patterns. This secondary analysis of a New Zealand audio-visual medication reminder intervention study visually explored the relationships, variation, and heterogeneity between multiple measures of adherence, in 211 children aged 6-15 years old who presented to an emergency department with an asthma attack. Our findings highlight the weakness of statistical relationships between measures of adherence, and the irregularity in patient medication-taking behavior. This demonstrates that a single aggregate adherence measure fails to detect asthma patients for whom their day-to-day medication taking (implementation) is inconsistent with their longitudinal medication taking (persistence).

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KW - Asthma

KW - Electronic monitoring

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M3 - Conference contribution

AN - SCOPUS:85078575278

T3 - Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

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BT - Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

PB - Institute of Electrical and Electronics Engineers

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Y2 - 28 October 2019 through 30 October 2019

ER -

Tibble H, Chan A, Mitchell EA, Horne R, Mizani MA, Sheikh A et al. Heterogeneity in asthma medication adherence measurement. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers. 2019. p. 899-903. 8941639. (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019). doi: 10.1109/BIBE.2019.00168

Heterogeneity in asthma medication adherence measurement

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