Personal de enfermería contagiado por COVID-19: condiciones de trabajo y sus factores asociados en tres hospitales de Lima-Perú
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".