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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Predicting asthma exacerbations employing remotely monitored adherence.

Isabelle Killane¹, Imran Sulaiman², Elaine MacHale²

¹Clinical Research Centre, Beaumont Hospital, Royal College of Surgeons in Ireland, Dublin, Ireland; Trinity Centre for Bioengineering, School of Engineering, Trinity College, University of Dublin, Dublin 2, Ireland.

Healthcare Technology Letters

|May 26, 2016

Summary

This summary is machine-generated.

This study evaluated a decision-support system for predicting asthma exacerbations using inhaler adherence data. Poor adherence showed a trend towards increased exacerbation risk, though not statistically significant.

Keywords:

Poisson distribution age asthma exacerbations body mass index decision support systems decision-support system diseases dose counter adherence gender inhaler medication multisite longitudinal randomised control trial multivariate modified Poisson regression patient monitoring pneumodynamics regression analysis remote monitoring adherence device respiratory medicine univariate modified Poisson regression

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Area of Science:

Respiratory Medicine
Digital Health
Clinical Trials

Background:

Asthma exacerbations pose a significant clinical burden.
Accurate prediction of exacerbations is crucial for timely intervention.
Inhaler adherence is a key factor influencing asthma control.

Purpose of the Study:

To assess the efficacy of a decision-support system in predicting asthma exacerbations.
To investigate the relationship between inhaler adherence and exacerbation risk.
To evaluate the utility of remote monitoring adherence data.

Main Methods:

A multi-site longitudinal randomized controlled trial was conducted.
Inhaler adherence was monitored over 3 months using dose counters and remote monitoring devices.
Asthma exacerbations were recorded at three clinical visits.
Modified Poisson regression was used to analyze the relative risk of exacerbations based on adherence levels, adjusting for covariates.

Main Results:

Dose counter adherence was significantly higher than remote monitoring adherence.
Patients with poor adherence exhibited a trend towards higher relative risk of asthma exacerbations, but this was not statistically significant.
Remote monitoring adherence data provided valuable clinical insights.

Conclusions:

While not statistically significant, poor adherence is associated with an increased risk of asthma exacerbations.
Remote monitoring adherence data holds clinical relevance for managing asthma.
Decision-support systems utilizing remote monitoring may improve patient-physician communication and reduce adverse events.