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Enregistrement W4206162386 · doi:10.2196/36493

Preparedness, Risk Perception, Concerns, and Risk Acceptance Among Hospital Health Care Workers in Facing the Emerging COVID-19 Outbreak in Najran Hospitals, Saudi Arabia, at the Early Phase of the Pandemic

2022· article· en· W4206162386 sur OpenAlexvenueno aff
Hassan Kasim Haridi, Ali Dhafer Al-Swedan, Mashhour Hussein Al Qannas, Fahad H. Balharith, Sayed Abdelsabour Kinawy, Abdelaziz Abdelfattah Aman, Abbas Almakrami, Ahlam Mshabab Alqahtani

Notice bibliographique

RevueIproceedings · 2022
Typearticle
Langueen
DomainePsychology
ThématiqueCOVID-19 and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPreparednessPandemicMedicineInfection controlFamily medicineHealth carePersonal protective equipmentCoronavirus disease 2019 (COVID-19)OutbreakEnvironmental healthNursingDiseaseInfectious disease (medical specialty)Surgery

Résumé

récupéré en direct d'OpenAlex

Background The COVID-19 pandemic extended to reach most countries in the world during a few months. The preparedness of health care institutions and health care workers (HCWs) is crucial for applying effective prevention and control measures. Objective This study aims to assess HCWs’ and institutional preparedness in facing the new emerging COVID-19 infection at the early phase of the pandemic and to explore HCWs’ risk perception, concerns, and risk acceptance. Methods A cross-sectional survey was conducted among hospital HCWs in King Khalid and New Najran hospitals, Saudi Arabia, at the early phase of the pandemic, during March and April 2020. Results Overall, 563 completed questionnaires were received (n=382, 67.9% from King Khalid and n=181, 32.1% from New Najran). The majority were female participants (78.6%); nurses constituted 74.7% of the sample. The age range of the participants was 20-63 years, with the mean age of physicians and nurses being 36.5 (SD 9.15) years and 31.8 (SD 7.48) years, respectively. Among participants, 65.8% attended training programs for COVID-19 infection, of whom 69.9% were satisfied with this training. Almost all (97.4%) of the participants reported reading the official circulars assigned for guidelines, case definition, and infection control measures regarding COVID-19 infection; 97.1% received basic infection control training; 98.9% checked for the best-fitted size of an N95 mask; and 89.4% were influenza vaccinated. Of the participants, 82.6% reported that they have sufficient knowledge about the COVID-19 pandemic, 82.0% reported being confident that they can protect themselves and their patients when dealing with COVID-19 cases, 92.9% reported that they understand the risk of COVID-19 infection for patients and health care staff, and 83.2% reported agreement of accepting the risk of getting the infection being a part of their job. The study participants attained a mean 20.26 (SD 2.60) knowledge score on a scale of 26 maximum points (77.9%); of them, 74.5% attained 20 points or more (>75%), indicating good working knowledge about the COVID-19 pandemic. Exploring the participants’ perception about the preparedness of their institutions toward the COVID-19 pandemic, 70.8% agreed that institutional precautionary measures to COVID-19 in the workplace are sufficient, 71.6% agreed that all personal protective equipment is provided and always available in the workplace, and 90.6% mentioned that the staff in their institutions have had adequate training. Exploring risk perception and the affective aspect of the pandemic on HCWs, 79.0%, 35.2%, and 64.2% of the participants felt that they, their families, and the Najran community are at high risk of getting an infection of COVID-19, respectively, and 54.7% and 55.1% were concerned about their personal and family health, respectively. Conclusions The findings revealed good knowledge about the COVID-19 pandemic among HCWs in Najran hospitals, Saudi Arabia. Concerns and worries were expressed regarding working with the highly infectious patients with COVID-19. Participants appreciated important aspects of institutional preparedness. Experience gained from the previous Middle East respiratory syndrome–related coronavirus outbreak may explain good knowledge, risk acceptance, self-efficacy, and good and rapid institutional preparedness at the early stage of the pandemic.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,095
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,029
Tête enseignante GPT0,374
Écart entre enseignants0,345 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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