Abstract PO-005: Barriers to implementation of virtual collection of patient-reported data in the COVID-19 era
Notice bibliographique
Résumé
Abstract Introduction: A marked shift in ambulatory patient assessment was instituted by cancer centers in response to the COVID-19 crisis. At our center, non-urgent appointments were deferred, and essential assessments were conducted virtually whenever possible. Prior to COVID-19, all patients attending ambulatory clinic completed an Edmonton Symptom Assessment Scale (ESAS) form via touch pad, with assistance as needed by clinic volunteers. Our purpose here was to explore how virtual conduct of clinics impacted the collection of patient-reported outcomes and to address the unmet need for recognition and management of severe symptoms, particularly depression/anxiety. Methods: We performed a mixed methods cross-sectional study to test the feasibility of remote completion of the ESAS form by patients scheduled for appointments at a weekly surgical oncology clinic at a major Canadian cancer center. Over the course of the first 5 weeks of the study, patients were phoned after their appointment to request permission to email the ESAS form and asked to return the completed form electronically. Over the next 2 weeks, patients who attended in-person appointments were asked to complete a hard-copy ESAS form in clinic. Clinically significant distress was defined a priori as score >2 for depression and >3 for anxiety. We compared compliance with the two methods (virtual vs. hard-copy) of patient-reported data collection. Results: For the entire study cohort, median age was 64 (35-89) and 48% were female. For the virtual method of ESAS completion, 45 patients had telephone contact attempted: 30 agreed to study participation, 1 declined, and 14 could not be reached despite repeated attempts. For the hard-copy method, all 22 patients approached consented to participation. For the virtual method, 15 patients successfully completed and returned the ESAS form electronically, yielding an overall compliance rate of 33%. For the hard-copy method, the compliance rate was 95% (1 patient deferred after consenting, then did not return the form). There were no differences in patient age, gender, or tumor type between the two methods. For the patients who agreed to the virtual method but did not return a completed electronic form, the following barriers were identified: unable to open/complete PDF; technology phobia; lack of motivation; patient provided invalid email address. Of the completed forms, 28% revealed a depression score >2 and 31% an anxiety score >3; 22% reported both severe depression and anxiety. There was no difference in the degree of distress reported virtually or via hard copy. Conclusions: We have identified significant barriers to the virtual completion of ESAS forms, with a lack of predictive variables. The severe degree of psychological distress reported by over 25% of respondents during the COVID era demonstrates the need for ongoing regular collection and review of these data. Innovative solutions are urgently required to overcome barriers to virtual collection of patient-reported outcomes. Citation Format: Karineh Kazazian, Wendy Johnston, Jessica Bogach, Carol J. Swallow. Barriers to implementation of virtual collection of patient-reported data in the COVID-19 era [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2020 Jul 20-22. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(18_Suppl):Abstract nr PO-005.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,059 | 0,160 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».