A data-driven typology of asthma medication adherence using cluster analysis.

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Title

A data-driven typology of asthma medication adherence using cluster analysis.

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

Asthma preventer medication non-adherence is strongly associated with poor asthma control. One-dimensional measures of adherence may ignore clinically important patterns of medication-taking behavior. We sought to construct a data-driven multi-dimensional typology of medication non-adherence in children with asthma. We analyzed data from an intervention study of electronic inhaler monitoring devices, comprising 211 patients yielding 35,161 person-days of data. Five adherence measures were ext...

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Format

Research paper

Research format

Journal article

Date created

2020-09

Creator

Tibble, Holly / Chan, Amy / Mitchell, Edwin A / Horne, Elsie / Doudesis, Dimitrios / Horne, Rob / Mizani, Mehrdad A / Sheikh, Aziz / Tsanas, Athanasios

URL

https://hdl.handle.net/2292/63187

Related subjects

Humans / Asthma / Anti-Asthmatic Agents / Monitoring, Ambulatory / Administration, Inhalation / Cluster Analysis / Nebulizers and Vaporizers / Adolescent / Child / Female / Male / Medication Adherence / Pediatric Research Initiative / Lung / Pediatric / Clinical Research / 7.1 Individual care needs / 7 Management of diseases and conditions / Respiratory / Science & Technology / Multidisciplinary Sciences / Science & Technology - Other Topics / AUDIOVISUAL REMINDER FUNCTION / INHALED CORTICOSTEROIDS / CONTROLLER MEDICATIONS / LONGITUDINAL PATTERNS / PATIENT COMPLIANCE / IMPROVE ADHERENCE / CHILDHOOD ASTHMA / RATE THRESHOLD / CHILDREN / MANAGEMENT / 1102 Cardiorespiratory Medicine and Haematology / Clinical / Clinical Medicine and Science

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