medigraphic.com
ISSN 1028-9933 (Electronic)

2022, Number 1

<< Back Next >>

RIC 2022; 101 (1)

Influence of COVID-19 on the work environment of health workers in Ecuador

Carrión-Bósquez NG, Castelo-Rivas WP, Alcívar-Muñoz MM, Quiñonez-Cedeño LP, Llambo-Jami HS

Language: Spanish
References: 15
Page: 1-11
PDF size: 341.98 Kb.


ABSTRACT

Introduction: The quality of medical care is directly related to the appropriate work environment and the satisfaction of the health staff. With the appearance of COVID-19, the work environment in health institutions has worsened.
Objective: To identify the factors that influence the work environment of the public and private health institutions of Santo Domingo de los Tsáchilas, Ecuador, during the period June-August 2021.
Method: Implementation of a study with a quantitative approach of correlational scope and transectional design in 349 health workers, to whom a 25-questions questionnaire was applied, that measured factors such as: contagion risk, working hours, medical resources and job stability. The results of the study were statistically analyzed through SPPS 20 and AMOS 24, with the previous development of Cronbach's alpha.
Results: 94% of the participants considered the work environment of their institutions as inappropriate, while 6% said they did not. Females, and ages ranging between 22-35 years predominated. All the variables of the hypothesized model exceeded 0.70 and the total Cronbach's alpha reached 0.728; the hypothesized model met the convergent and discriminant validity of the variables. The risk of contagion yielded a value of β=0.148, while the working day resulted with β=0.010, medical resources β=0.006 and job stability β=0.007.
Conclusions: The findings determined that the risk of contagion is the most influential factor in the work environment of the institutions under study during the beginning of the COVID-19 pandemic.


REFERENCES

  1. Segredo A. Clima organizacional en la gestión del cambio para el desarrollo de la organización. Rev Cubana Salud Púb [Internet]. 2013 [citado 25/06/2021]; 39(2):383-393. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-34662013000200017

  2. Eisenhardt K, Graebner M, Sonenshein S. Grand challenges and inductive methods: Rigor without rigor mortis. Aca Manag J [Internet]. 2016 [citado 23/06/2021]; 59(1):1113-1123. DOI: https://doi.org/10.5465/amj.2016.4004

  3. George G, Howard-Grenville J, Joshi A, Tihanyi L. Understanding and tackling societal grand challenges through management research. Aca Manag J [Internet]. 2016 [citado 20/06/2021]; 59(6):1880-1995. DOI: https://doi.org/10.5465/amj.2016.4007

  4. Cavallo J, Forman H. The Economic Impact of the COVID-19 Pandemic on Radiology Practices. Radiology [Internet]. 2020 [citado 21/06/2021]; 17(1):1-13. DOI: https://doi.org/10.1148/radiol.2020201495

  5. Monterrosa A, Dávila R, Mejía A, Contreras J, Mercado M, Flores C. Estrés laboral, ansiedad y miedo al COVID-19 en médicos generales colombianos. Rev Fac Cien Salud [Internet]. 2020 [citado 19/06/2021]; 23(2):195-213. DOI: https://doi.org/10.29375/01237047.3890

  6. Chión S, Charles V. Analítica de Datos para la Modelación Estructural. 1ed. Perú: Pearson; 2016.

  7. Byrne B. Structural equation modeling with AMOS: basic concepts, applications, and programming. 2ed. New York: Routledge; 2006.

  8. Carrión NG, Arias LG. Factors influencing green purchasing inconsistency of Ecuadorian millennials. Brit Food J [Internet]. 2021 [citado 22/06/2021]:1-20. DOI: https://doi.org/10.1108/BFJ-05-2021-0558

  9. Chin W. The partial least squares approach for structural equation Modeling. In: Marcoulides GA. (Ed.). Modern Methods for Business Research. New Jersey: Lawrence Erlbaum Associates; 1998.

  10. Blanco L, Moreno J, Amutio A, Gallego L, Moreno B, Garrosa E. Stressors, Job Resources, Fear of Contagion, and Secondary Traumatic Stress Among Nursing Home Workers in Face of the COVID-19: The Case of Spain. J App Gerontol [Internet]. 2020 [citado 22/06/2021]; 40(3):244-256. DOI: https://doi.org/10.1177/0733464820964153

  11. Cai H, Tu B, Ma J, Chen L, Fu L, Jiang Y, Zhuang Q. Psychological impact and coping strategies of frontline medical staff in Hunan between January and March 2020 during the outbreak of coronavirus disease 2019 (COVID-19) in Hubei, China. Med Sci Monitor [Internet]. 2020 [citado 22/06/2021]; 26(1):1-16. DOI: https://doi.org/10.12659/MSM.924171

  12. Cheng V, Wong C, To K, Ho P, Yuen Y. Preparedness and proactive infection control measures against the emerging Wuhan coronavirus pneumonia in China. J Hosp Infec [Internet]. 2020 [citado 26/06/2021]; 104(1):254-255. DOI: https://doi.org/10.1016/j.jhin.2020.01.010

  13. Weller J. La pandemia del COVID-19 y su efecto en las tendencias de los mercados laborales [Tesis]. América Latina y El Caribe: CEPAL; 2020 Jul [citado 24/06/2021]. Disponible en: https://repositorio.cepal.org/bitstream/handle/11362/45759/1/S2000387_es.pdf

  14. García V, Viveros L, Carrión N, Román J. Comportamiento de los ecuatorianos frente al Covid 19. Horiz Enferm [Internet]. 2020 [citado 30/06/2021]; 10(1):44-54. DOI: https://doi.org/10.32645/13906984.992

  15. Hassan N, Abu-Elenin M, Elsallamy R, Kabbash I. Job stress among resident physicians in Tanta University Hospitals, Egypt. Env Sci Poll Res [Internet]. 2020 [citado 27/06/2021]; 27(1):1-8. DOI: https://doi.org/10.1007/s11356-020-08271-9




2020     |     www.medigraphic.com