Investigating the effects of the COVID-19 lockdown on cancer patient self-reported symptom intensity in a Southwestern Ontario Cancer Center
Notice bibliographique
Résumé
Background: The longitudinal impact of the COVID-19 pandemic on patient-reported outcomes (PRO) in the cancer patient population is an important and under-investigated issue that can inform comprehensive care. Reduced access to medical care was problematic for cancer patients, as they require frequent treatments and appointments. Hypotheses: PROs of cancer patients measured through the Edmonton Symptom Assessment Scale Revised (ESAS-r) would be negatively impacted during the lockdown, followed by recovery to baseline once measures lifted. Methods: To trend PROs in cancer patients, we anonymized ESAS-r data collected at a southwestern regional Cancer Program from January 2019 to December 2023 (n=45,896). Results: Contrary to our hypothesis patients reported less severe symptoms (mIQR=13(22)) during the pandemic compared to before (mIQR=15(24), P<0.001) or once the lockdown was lifted (mIQR=16(24), p<0.001). Upon subsetting the data to surveys completed at home (n=4,820) versus in-clinic (n=29,858), individuals’ scores gathered during lockdown in-clinic were comparable to baseline (p=0.64). Implications: These results suggest that patients perceived less severe symptoms at home during the lockdown, which could be due to feeling safer, not having to go out, and being more physically comfortable. Whereas more ill patients needed to visit the clinic to receive care. Although this study was limited to a single setting, it demonstrated the unpredictable effects COVID-19 had, highlighting the importance of further exploring the lasting impact of the global crisis on cancer patientsHypotheses: PROs of cancer patients measured through the Edmonton Symptom Assessment Scale Revised (ESAS-r) would be negatively impacted during the lockdown, followed by recovery to baseline once measures lifted. Methods: To trend PROs in cancer patients, we anonymized ESAS-r data collected at a southwestern regional Cancer Program from January 2019 to December 2023 (n=45,896). Results: Contrary to our hypothesis patients reported less severe symptoms (mIQR=13(22)) during the pandemic compared to before (mIQR=15(24), P<0.001) or once the lockdown was lifted (mIQR=16(24), p<0.001). Upon subsetting the data to surveys completed at home (n=4,820) versus in-clinic (n=29,858), individuals’ scores gathered during lockdown in-clinic were comparable to baseline (p=0.64). Implications: These results suggest that patients perceived less severe symptoms at home during the lockdown, which could be due to feeling safer, not having to go out, and being more physically comfortable. Whereas more ill patients needed to visit the clinic to receive care. Although this study was limited to a single setting, it demonstrated the unpredictable effects COVID-19 had, highlighting the importance of further exploring the lasting impact of the global crisis on cancer patients.
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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 | 0,002 | 0,005 |
| 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 | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 ».