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Record W4214873188 · doi:10.2147/ppa.s347713

Drivers of and Barriers to Adherence to Neovascular Age-Related Macular Degeneration and Diabetic Macular Edema Treatment Management Plans: A Multi-National Qualitative Study

2022· article· en· W4214873188 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePatient Preference and Adherence · 2022
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsnot available
FundersF. Hoffmann-La Roche
KeywordsTolerabilityDiabetic macular edemaMacular degenerationQualitative researchDiabetes mellitusDiabetic retinopathyMEDLINE

Abstract

fetched live from OpenAlex

Purpose: Neovascular age-related macular degeneration (nAMD) and diabetic macular edema (DME) patients treated with intravitreally injected anti-vascular endothelial growth factor (anti-VEGF) monotherapies achieve lower vision improvements compared with patients in clinical trials. This qualitative research study aimed to better understand the real-world anti-VEGF treatment experience from nAMD and DME patients', caregivers', and retina specialists' perspectives. Methods: One-time, semi-structured, individual interviews were conducted with adult patients with nAMD or DME treated with anti-VEGF injections for ≥12 months, their caregivers, and experienced retina specialists. Interview transcripts were analyzed qualitatively using a thematic analysis approach. Results: A total of 49 nAMD and 46 DME patients, 47 nAMD and 33 DME caregivers, and 62 retina specialists were interviewed in the USA, Canada, France, Germany, Italy and Spain. Most (79%) patients and caregivers reported disruptions to their routine on the day before, the day of, or the day after anti-VEGF injection. Seven nAMD patients (14%) and 14 DME patients (30%) reported having missed an injection visit. The most frequently reported driver for adherence for patients was the doctor-patient relationship (n=66, 70%), whereas for caregivers, it was the ease of booking an appointment (n=25, 32%). Retina specialists reported patient education on the treatment (n=28, 45%) as the most important driver. Treatment barriers could be grouped into four categories: tolerability, clinical factors, logistical parameters and human factors. The most frequently reported barrier to adherence for patients and caregivers was related to side effects (pain/discomfort/irritation: n=63, 67% of patients; n=52, 66% of caregivers), whereas for retina specialists it was logistical parameters (travel logistics: n=44, 71%). Conclusion: This study highlights the importance of the doctor-patient relationship and patient education as key drivers, and treatment tolerability and logistics as key barriers to treatment adherence. Improved doctor-patient relationship/communication and patient education together with new therapies offering convenience, long-acting effectiveness, and better tolerability may improve treatment adherence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.061
GPT teacher head0.333
Teacher spread0.272 · 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