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Record W7019891347

Investigation of pain and discomfort associated with anti-VEGF injections

2022· dissertation· en· W7019891347 on OpenAlexaboutno aff

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2022
Typedissertation
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyThematic analysisPatient experiencePopulationPatient satisfactionQualitative researchQuality of life (healthcare)Macular degeneration
DOInot available

Abstract

fetched live from OpenAlex

Intravitreal injection of anti-vascular endothelial growth factors (VEGF) is the only current treatment for neovascular age-related macular Degeneration (AMD) but necessitates ongoing patient adherence with recuring injections to be effective. Furthermore, AMD itself poses a significant social and economic burden, as the population ages. Patient experience is one of the central pillars of the patient journey. Ocular pain is arguably one of the most common outcomes that affects the patient experience during intravitreal injections, with post-injection experiences and patient adherence to treatment remaining relatively underexplored. Thus, improving the understanding of factors associated with pain and using this to inform pain management strategies in ophthalmic care can drive quality improvement to enhance the patient experience. 
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\nThe aim of the work presented in this thesis was to describe the experiences of patients undergoing anti-VEGF injections associated with pain and the impact on patient adherence and wellbeing, and to explore the factors that contribute to pain.
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\nAn exploratory sequential mixed methods study was undertaken involving semi-structured face-to-face interviews (n=14 individuals with neovascular AMD, n=7 healthcare practitioners), followed by a quantitative phase utilising questionnaires and measurement of electrodermal activity (n=65 individuals with neovascular AMD). The findings from initially exploring the patient experiences associated with the intravitreal treatment using thematic analysis, were apprehension, a dull-aching and sharp pain during injection, and prolonged soreness and irritation of up to 36 hours post-injection affecting their sleep and recovery. Building on the qualitative outcomes, questionnaires were then used to assess pain (Short-Form McGill Pain Questionnaire, SF-MPQ; Visual Analogue Scale, VAS), anxiety (State-Trait Anxiety Inventory) and wellbeing (Warwick-Edinburgh Mental Wellbeing Scale) at baseline, and at 1-2 hours and 24 hours post-treatment. A physiological measure, EDA (electrodermal activity) was used as one of the primary outcomes to objectively examine patients’ level of arousal during the intravitreal injection procedure.
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\nThis study employed multiple linear regression models to explain the predictor variables associated with pain at 1-2 hours and 24 hours post-treatment for VAS and MPQ (main component of SF-MPQ). The optimum multiple regression model identified significant predictor variables, the injection SCR (Skin Conductance Response) amplitude, baseline state anxiety, type of anti-VEGF (aflibercept) and bilateral injections, explained 38% of the variance in VAS scores. The injection SCR amplitude was the most significant predictor of pain at both 1-2 hours and 24 hours post-treatment. Also, questionnaire data reported that at 24 hours post-treatment, 4.7% of participants continued to experience severe sharp, aching or tender pain, and 15.6% reported feeling a moderate tiring-exhausting pain.
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\nA qualitative study exploring the impact of COVID-19 on patient experience was undertaken involving semi-structured telephone interviews (n=17 individuals with neovascular AMD). Nearly half of the participants reported perceived vision deterioration, with some losing their ability to drive. Most participants felt anxious of losing their eyesight due to lack of timely care and absence of communication with the practice. Isolation and fear of losing eyesight impacted participants’ wellbeing with some reporting feeling lonely and depressed. Integrating these findings with individual perspectives captured a comprehensive understanding of the emotional and physical qualities of pain. Adherence to treatment was a key priority for patients over pain and COVID-19 health risks.
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\nAn understanding of pain during and following intravitreal injections may inform clinical practice on implementing pain assessment tools, providing consistent verbal instructions to patients on avoiding contact with the injected eye and advising them on specific pain relief techniques, including topical ice application to self-manage their pain at home. High injection SCR amplitudes and baseline state anxiety may also inform clinical practice on assessing patients’ anxiety at regulated intervals and advising on nurturing self-talk and relaxation techniques to manage their apprehension. Engaging communications to reassure and strengthen patient confidence in their treatment course are meaningful and valuable qualities to patients receiving intravitreal injections.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.326
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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