Virtual Reality Portable Perimetry and Home Monitoring of Glaucoma: Retention and Compliance over a 2-year Period
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Notice bibliographique
Résumé
Purpose To evaluate long-term retention, compliance, and performance of glaucoma patients using a virtual reality portable perimeter to monitor visual fields (VFs) at home. Design Prospective, longitudinal, cohort study. Subjects Twenty-five glaucoma patients with stable and reliable VFs (average age 67.4 years) were recruited at Toronto Western Hospital, Ontario, Canada. Methods Participants were instructed to perform bilateral home VF tests fortnightly for 2 years using the Toronto Portable Perimeter (TPP). Based on empirical home monitoring data, simulation analyses were conducted to evaluate the progression detection performance of high-frequency TPP testing. Main Outcome Measures Retention rates were calculated as the percentage of participants who performed ≥1 home VF test. Compliance rates measured the percentage of participants adhering to the recommended test frequency of every 2-month period. Visual field indices, test reliability, intertest variability, and the precision of estimating progression rate with TPP were compared to those with the Humphrey Field Analyzer (HFA). After 6 months, participants completed a questionnaire to evaluate their experiences and preferences. The years required to detect progression were also compared between HFA and TPP tests. Results Eighteen of the 25 participants (72%) completed ≥1 unsupervised VF test at home, with an average test frequency of 1.6 tests/month. Compliance decreased as the monitoring duration progressed, dropping from 83% (initial 2 months) to 11% (final 2 months). Unfamiliarity with technology and time constraints were identified as the main barriers to regular testing. Visual field indices of TPP home tests were strongly correlated with clinical results ( r > 0.900). Home testing significantly reduced intertest variability ( P < 0.001) and improved the precision of progression rate estimates ( P < 0.010). Participants overwhelmingly preferred home testing over clinic VF follow-ups ( P < 0.001). Simulations showed that TPP tests can significantly shorten the time to detect progression for different progression rates compared with clinical VF follow-up, even with compromised compliance. Conclusions Despite the small sample size, our study demonstrated that glaucoma patients could reliably perform VF tests at home over a 2-year period. However, issues with retention rate and compliance with long-term VF monitoring were observed in some participants. Nevertheless, high-quality VF data from home tests can provide supplementary information to improve the timely detection of VF progression. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle