Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Determinants of medication adherence in UK glaucoma patients: An interview study
Author Affiliations & Notes
  • Deborah Bott
    Optometry and Visual Sciences, City University of London, London, United Kingdom
  • Ahalya Subramanian
    Optometry and Visual Sciences, City University of London, London, United Kingdom
  • David Edgar
    Optometry and Visual Sciences, City University of London, London, United Kingdom
  • Pouya Alaghband
    Ophthalmology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, United Kingdom
  • John Lawrenson
    Optometry and Visual Sciences, City University of London, London, United Kingdom
  • Peter Campbell
    Optometry and Visual Sciences, City University of London, London, United Kingdom
  • Footnotes
    Commercial Relationships   Deborah Bott None; Ahalya Subramanian None; David Edgar None; Pouya Alaghband None; John Lawrenson None; Peter Campbell None
  • Footnotes
    Support  Research forms part of my PhD, which is funded by a College of Optometrists postgraduate scholarship
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 1886. doi:
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      Deborah Bott, Ahalya Subramanian, David Edgar, Pouya Alaghband, John Lawrenson, Peter Campbell; Determinants of medication adherence in UK glaucoma patients: An interview study. Invest. Ophthalmol. Vis. Sci. 2024;65(7):1886.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Adherence to long-term glaucoma medication is often poor. Current interventions to improve adherence have had limited success due to lack of robust theoretical underpinning.
The study aim was to explore factors influencing patients’ medication adherence using qualitative interviews and applying the Theoretical Domains Framework (TDF) of behaviour change.

Methods : Participants from UK glaucoma clinics, prescribed one or more IOP-lowering eyedrop, were purposively sampled, to aim for a representative sample. One-to-one semi-structured interviews were conducted via Zoom, audio recorded and transcribed verbatim. Data were organised using NVivo 12 and analysed using the TDF to investigate personal, sociocultural and environmental factors influencing patient adherence to glaucoma medication. Interview transcripts were analysed using deductive and inductive thematic analysis. Key barriers to adherence were mapped to evidence-based Behaviour Change Techniques (BCTs) to identify potential strategies to improve medication adherence.

Results : Thirteen participants were interviewed (Table 1). Nine TDF domains were particularly salient regarding medication adherence (Table 2). Key barriers to adherence fall within three TDF domains: Memory, Attention and decision processes (forgetfulness), Skills (lack of physical ability/poor vision), and Environmental Context and Resources (lifestyle changes, unavailability of eyedrops, issues with healthcare system). Enablers included: Knowledge (sufficient understanding of glaucoma and treatment), Behavioural Regulation (developing a routine), Skills (ability to order ongoing eyedrop supplies), Beliefs about capabilities (confidence in ability to use eyedrops), Beliefs about consequences (believe eyedrops necessary), Goals (not wanting to lose sight) and Social Influences (positive influences). Potential BCTs to improve medication adherence included Instruction on how to perform behaviour, Information about health consequences, Behavioural practice/rehearsal, Prompts/cues, Social support, Restructuring the physical environment and Adding objects to the environment.

Conclusions : Adherence to glaucoma medication is complex and affected by multiple factors. The theory-driven determinants identified can inform development of behaviour change interventions that seek to improve adherence behaviour and prevent avoidable sight loss.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Table 1 Participant characteristics

Table 1 Participant characteristics

 

Table 2 TDF domain importance

Table 2 TDF domain importance

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