Personal de enfermería contagiado por COVID-19: condiciones de trabajo y sus factores asociados en tres hospitales de Lima-Perú
Why this work is in the frame
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Bibliographic record
Abstract
Objective: To determinate the prevalence of COVID-19 in the nursing personnel, working conditions, and their associated factors in three hospitals in Lima-Peru.Method: A quantitative, descriptive cross-sectional study of the web survey was carried out between November 2020 and February 2021 with 495 nursing personnel members from the three public hospitals in Lima. Results: 63% of the participants were from the Guillermo Almenara Irigoyen National Hospital, 20% from the San Isidro Labrador Hospital, and 17% from the II Vitarte Hospital. The prevalence of COVID-19 in the nursing personnel was 47.3%. When analyzing the demographic characteristics of the participants, a significant association of the education variable with the disease was evidenced (OR=1.50, p =0.04), showing that those with higher education are 1.5 times more likely to develop COVID-19 compared to those with postgraduate studies; the variables related to working conditions and risk factors did not show a significant association (p>0.05) with the disease.Conclusions: Except for education, there is insufficient evidence to affirm a significant association of COVID-19 with demographic characteristics, work-related variables, and those considered a risk. This research makes significant contributions to nursing practice, research, and teaching. Objetivo: Determinar la prevalencia de la COVID-19 en el personal de enfermería, las condiciones de trabajo y sus factores asociados en tres hospitales de Lima-Perú.Método: Estudio cuantitativo, descriptivo de corte transversal del tipo web-survey realizado entre los meses de noviembre 2020 a febrero de 2021 con la participación de 495 integrantes del personal de enfermería de tres hospitales públicos de la ciudad de Lima. Resultados: El 63% de los participantes fueron del Hospital Nacional Guillermo Almenara Irigoyen, 20% del Hospital San Isidro Labrador, y 17% del Hospital II Vitarte. La prevalencia de la COVID-19 en el personal de enfermería fue de 47.3%. Al analizar las características demográficas de los participantes se evidenció asociación significativa de la variable escolaridad con la enfermedad (OR=1.50, p=0.04), mostrando que los que cuentan con estudios superiores tienen 1.5 veces mayor probabilidad de desarrollar la COVID-19 frente a los que poseen estudios de posgrado; las variables relacionadas con las condiciones de trabajo y factores de riesgo no evidenciaron asociación significativa (p>0.05) con la enfermedad.Conclusiones: A excepción de la escolaridad no existe evidencia suficiente para afirmar asociación significativa de la COVID-19 con las características demográficas, las variables relacionadas al trabajo y las consideradas como riesgo. La investigación aporta contribuciones importantes a la práctica, la investigación y la docencia en enfermería.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it