The Effect of COVID-19 on the Mental Health of Breast Cancer Patients Undergoing Treatment: A Scoping Review
Notice bibliographique
Résumé
Introduction: Patients with breast cancer experienced difficulties making appointments, treatment delays, and delayed screening during the COVID-19 pandemic. As a result of these challenges for individuals with breast cancer diagnoses, it is believed that the COVID-19 pandemic had a detrimental effect on these patients’ mental health. The purpose of this review was to examine the effect of COVID-19 on the mental health of breast cancer patients undergoing treatment through a scoping review. Methods: The methods were guided by the Arksey and O’Malley framework, described in the Joanna Briggs Institute guidelines, and the reporting is compliant with PRISMA-ScR Checklist. Searches were conducted in the databases Medline via OVID and CINAHL from February 2023 to March 2023, with studies being published only from January 2020 to present. Inclusion criteria were breast cancer patients receiving breast cancer treatment such as surgery or chemotherapy, observational studies such as cross-sectional, and studies that measured the impact on mental health during the COVID-19 pandemic. Data were then extracted using a charting form. Results: A total of 21 studies were included. Either depression, anxiety or stress or a combination of them were examined in all the studies that were included. Thirteen of the studies included used the Hospital Anxiety Depression Scale (HADS) and/or the Generalized Anxiety Disorder (GAD-7) for their measures. Seventeen studies showed that while undergoing active treatment during COVID-19, there were increased levels of depression, anxiety, and stress. Four studies that were included did not see a difference in these mental health outcomes during the pandemic. Discussion: Many studies stated the importance of how mental health interventions can be key to preventing higher rates of depression and anxiety. As such, the mental health of breast cancer patients must be prioritized by introducing changes to health care distribution and through providing psychological interventions to these patients. Conclusion: This scoping review demonstrated that breast cancer patients had increased rates of depression, anxiety, stress, and other mental health outcomes during the pandemic. Future research should be conducted to examine the effects on psychological interventions that focus on improving mental health in breast cancer patients.
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 | 0,090 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,007 |
| Bibliométrie | 0,016 | 0,020 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».