A Qualitative Analysis of the Functions of Primary Care Nurses in <scp>COVID</scp> ‐19 Vaccination
Notice bibliographique
Résumé
AIM: To describe vaccination roles of primary care nurses during the COVID-19 pandemic in Canada. DESIGN: This analysis was part of a larger mixed-methods case study. METHODS: We conducted semi-structured qualitative interviews from May 2022 to January 2023 with primary care nurses across four provinces: British Columbia, Ontario, Newfoundland and Labrador, and Nova Scotia. We asked participants to describe their roles during various stages of the pandemic, facilitators and challenges encountered and possible roles that nurses could have played. We used thematic analysis and analysed codes relevant to vaccination. RESULTS: We interviewed a total of 76 nurses and identified four key functions of primary care nurses' roles in COVID-19 vaccination: (1) education, (2) vaccine administration, (3) outreach and (4) advocacy. Themes outlined nurses' roles with respect to patient education, addressing vaccine hesitancy, partaking in vaccination roles outside of regular primary care practice and supporting accessibility in COVID-19 vaccination. Specific tasks varied by nursing professions. CONCLUSION: Primary care nurses fostered trust through existing patient-provider relationships to enhance roles and activities related to education, outreach and advocacy in COVID-19 vaccination. Some COVID-19 vaccine-related roles were more easily integrated into primary care, whereas others competed with routine primary care roles. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Findings highlight the vital contributions of primary care nurses towards COVID-19 vaccination efforts in Canada. Leveraging nursing expertise can enhance future pandemic response efforts and improve patient care by addressing barriers to vaccination and promoting equitable access to vaccination services. IMPACT: This study addresses a knowledge gap by describing the vaccination-related roles of primary care nurses during the pandemic. Findings illustrate that nurses demonstrated adaptability through their engagement in vaccine education, administration, outreach and advocacy. This research informs resource allocation, policy development and workforce planning for future vaccination efforts during a pandemic response. REPORTING METHOD: The authors have adhered to the Standards for Reporting Qualitative Research (SRQR) guidelines included in the Empirical Research Qualitative reporting method. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: Provides insight into the pivotal roles of primary care nurses during the COVID-19 vaccination efforts in Canada, highlighting their diverse contributions towards education, vaccine administration, outreach and advocacy. Offers implications for future pandemic planning by informing resource allocation, policy development and workforce planning for vaccination efforts.
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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 | 0,011 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,010 | 0,007 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».