The age and recovery capacity of health personnel who care for patients with Covid-19. Case of the city of Ambato.

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Paulina del Roció Gordón Villalba
Manolo Alexander Córdova Suárez
Edison Patricio Villacres Cevallos
Enrique Mauricio Barreno Avila

Abstract

Introduction. Introduction. The COVID-19 pandemic can generate stressful events and an aggressive work environment that can influence the ability to successfully adapt to adversity or resilience of hospital health personnel who care for coronavirus patients on the front line. Objective. The psychometric properties in the health personnel of the hospitals of the city of Ambato who work directly with patients infected by COVID-19 were evaluated using the Connor-Davidson resilience scale (CD-RISC) at different ages. Methodology. The level of: Strength, Optimism, Objectives and Resources was determined by applying a digital questionnaire of 22 questions on a scale of 5 levels of affectation: a) very low, b) low, c) medium, d) high and e) very high a sample of 70 health workers using the CD-RISC method. Finally, the incidence of age in the final value of the resilience scale by gender was verified. Results. It was determined that the highest resilience level value is for female health personnel with a value of 632 at the age of 32, on the other hand, the highest resilience level was found for the male gender with a value from 327 to an age of 26. Likewise, the highest levels of Strength, Optimism, Objectives and Resources were determined with values ​​of: 225, 223, 186 and 217 respectively at 32 years of age. Conclusion. The highest level of resilience for health personnel in the city of Ambato is found in the female population at the age of 32, surpassing male personnel by 51.57%.

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How to Cite
Gordón Villalba, P. del R., Córdova Suárez, M. A., Villacres Cevallos, E. P., & Barreno Avila, E. M. (2021). The age and recovery capacity of health personnel who care for patients with Covid-19. Case of the city of Ambato. Anatomía Digital, 4(2), 122-131. https://doi.org/10.33262/anatomiadigital.v4i2.1669
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