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Assessing the application of a novel algorithm for DOSE REduction and Adherence CosT-effectIVEness in adults with respiratory and other chronic conditions (DOSE-REACTIVE)

  • Full or part time
    Dr F Doyle
  • Application Deadline
    Monday, December 02, 2019
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Adherence to medications – the process by which patients take their medications as prescribed – is suboptimal, e.g., inhaler adherence is estimated to be as low as 23% in people with chronic obstructive pulmonary disease (COPD). Such non-adherence is associated with poorer health outcomes, but also unnecessary over-prescribing of add-on therapies and resource wastage. Modern technologies could help address these issues. We have developed a potentially ground-breaking novel algorithm that can calculate the optimal drug dose per patient for inhaled (or other) medications, depending on that individual’s current adherence rates and any outcome of interest (e.g. exacerbation rates, quality of life, etc.).

The algorithm can be applied to any medication where its use can be precisely timed. This suggests that in future, clinicians could prescribe medications and titrate dosages based on individual behaviour patterns, rather than relying on more global clinical guidelines. This PhD will therefore explore the feasibility of including this algorithm in clinical care and devices, integrating with current health data and the potential for use in research and health insurers.

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