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Record 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 on 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

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessPandemicMedicineInfection controlFamily medicineHealth carePersonal protective equipmentCoronavirus disease 2019 (COVID-19)OutbreakEnvironmental healthNursingDiseaseInfectious disease (medical specialty)Surgery

Abstract

fetched live from 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.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.374
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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