Patient, family and professional suggestions for pandemic-related surgical backlog recovery: a qualitative study
Notice bibliographique
Résumé
BACKGROUND: Surgical shutdowns related to the COVID-19 pandemic have resulted in prolonged wait times for nonemergency surgery. We aimed to understand informational needs and generate suggestions on management of the surgical backlog in the context of the ongoing COVID-19 pandemic through focus groups with key stakeholders. METHODS: We performed a qualitative study with focus groups held between Sept. 29 and Nov. 30, 2021, in Ontario, with patients who underwent or were awaiting surgery during the pandemic and their family members, and health care leaders with experience or influence overseeing the delivery of surgical services. We conducted the focus groups virtually; focus groups for patients and family members were conducted separately from health care leaders to ensure participants could speak freely about their experiences. Our goal was to elicit information on the impact of communication about the surgical backlog, how this communication may be improved, and to generate and prioritize suggestions to address the backlog. Data were mapped onto 2 complementary frameworks that categorized approaches to reduction in wait times and strategies to improve health care delivery. RESULTS: A total of 11 patients and family members and 20 health care leaders (7 nursing surgical directors, 10 surgeons and 3 administrators) participated in 7 focus groups (2 patient and family, and 5 health care leader). Participants reported receiving conflicting information about the surgical backlog. Suggestions for communication about the backlog included unified messaging from a single source with clear language to educate the public. Participants prioritized the following suggestions for surgical recovery: increase supply through focusing on system efficiencies and maintaining or increasing health care personnel; incorporate patient-centred outcomes into triage definitions; and refine strategies for performance management to understand and measure inequities between surgeons and centres, and consider the impact of funding incentives on "nonpriority" procedures. INTERPRETATION: Patients and their families and health care leaders experienced a lack of communication about the surgical backlog and suggested this information should come from a single source; key suggestions to manage the surgical backlog included a focus on system efficiencies, incorporation of patient-centred outcomes into triage definitions, and improving the measurement of wait times to monitor health system performance. The suggestions generated in this study that may be used to address surgical backlog recovery in the Canadian setting.
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 | 0,024 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,013 | 0,009 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».