Implementation of virtual mentoring to optimize collection of patient-reported data in the COVID-19 era: A prospective cohort study with adaptive design.
Notice bibliographique
Résumé
e24091 Background: Prior to the COVID-19 pandemic, all patients attending ambulatory clinic at cancer centers in Ontario, Canada completed the Edmonton Symptom Assessment Scale (ESAS), as per governmental cancer agency mandate. At our center, completion was via touch pad, with assistance by clinic volunteers. As of mid-March 2020, clinic appointments were conducted virtually whenever possible, and touch pads removed from clinic. Our purpose here was to explore how these changes impacted the collection of patient-reported outcomes, in particular the recognition of severe symptoms. Methods: We performed a prospective cross-sectional cohort study to test the feasibility of remote completion of the ESAS by patients scheduled for appointments at a weekly surgical oncology clinic at a major cancer center. Patients were identified serially based on date of clinic appointment. Patients in the initial study cohort were asked to complete and return the ESAS virtually (V). Given low completion rates, the ensuing study cohort was asked to complete a hard-copy (HC) ESAS. For the final cohort, we used an adaptive approach, providing remote, personal mentoring by a member of the health care team to support virtual ESAS completion (virtual-mentored, VM). Results: Between May-July 2020, a total of 174 patients were included in the study: 53% were female, and median age was 62 (19-90) yrs. Age, gender and tumor site did not differ between the three cohorts. For the V cohort, 20/43 patients successfully completed and returned the ESAS electronically (completion rate 44%). For the HC cohort, 49/50 completed the form (98%). For the VM cohort (n=78), the completion rate was 74%. Questionnaire completion was not predicted by age, gender or tumor site, although patients who completed the ESAS were more likely to be under active investigation/treatment vs. surveillance (p=.04). Of the 127 ESAS forms completed in all patient cohorts, 117 reported at least 1 symptom score ≥1. There were no significant differences in individual symptom scores (e.g. tiredness, wellbeing-see Table) reported between cohorts. Of all completed forms, 42% had a depression score ≥2 and 27% an anxiety score ≥4, indicating significant psychosocial distress. Conclusions: We have identified significant barriers to the virtual completion of ESAS forms, with lack of predictive variables. The severe degree of psychological distress reported by ̃50% of respondents demonstrates the need for ongoing regular collection and review of these data.[Table: see text]
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 | 0,015 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».