Factors associated with burnout syndrome in nursing assistants
DOI:
https://doi.org/10.22267/rus.212302.223Keywords:
Burnout, psychological, Nursing assistants, Case-control studies, Logistic modelsAbstract
Introduction: The Burnout syndrome is understood as a low resilience to face work stress. Objective: To identify factors and constructs associated with Burnout and its overall prevalence in nursing assistants in a reference hospital of medium and high complexity level from Colombia. Materials and methods: A case-control study was conducted on 183 nursing assistants from a hospital. The Maslach instrument and Log-Binomial regression were used to identify associated factors, determining their Odds Ratios (OR). Results: The factors found associated with Burnout that increase its probability of occurrence are: working more than 48 hours a week (OR=1.02 (1.01-1.05) 90% CI) and feeling negatively about the work being done (OR=3.87 (1.18-10.71)). However, sleeping 7 or more hours a day reduces such probability (OR=0.70 (0.53-0.91)). The total Burnout prevalence was 44.7%, the main causes being personal fatigue (11.8%), depersonalization (14.9%), and poor personal fulfillment (47.81%). Conclusions: Associated factors, such as not getting enough sleep and feeling negatively about the work being done, increase the probability to develop Burnout, while this probability decreases by sleeping 7 or more hours a day. These findings will facilitate the implementation of institutional control measures.
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Organizacion Internacional del Trabajo. Estres en el trabajo: Un reto colectivo. Servicio de administración del trabajo, Inspección del trabajo y seguridad y Salud en el trabajo. Ginebra: Organización Internacional del Trabajo (OIT); 2016. 62 p. ISBN 978-92-2-330641-0
Bailey DS. Burnout harms workers’ physical health through many pathways. [Internet]. American Psychological Association. 2006[cited 2018 Jul 3];37(7):11. Available from: http://www.apa.org/monitor/jun06/burnout
Nguyen NS, Métraux EL, Morris-Singer AF. Combating Clinician Burnout with Community-Building. NEJM Catal Innov Care Deliv. 2018. Available from: https://catalyst.nejm.org/doi/full/10.1056/CAT.18.0124
Adriaenssens J, De Gucht V, Maes S. Determinants and prevalence of burnout in emergency nurses: A systematic review of 25 years of research. Int J Nurs Stud. 2015;52(2):649–61. doi: 10.1016/j.ijnurstu.2014.11.004.
Cañadas-De la Fuente GA, Vargas C, San Luis C, García I, Cañadas GR, De la Fuente EI. Risk factors and prevalence of burnout syndrome in the nursing profession. Int J Nurs Stud. 2015;52(1):240–9. doi: 10.1016/j.ijnurstu.2014.07.001.
Vargas C, Cañadas GA, Aguayo R, Fernández R, De la Fuente EI. Which occupational risk factors are associated with burnout in nursing? A meta-analytic study. Int J Clin Heal Psychol [Internet]. 2014;14(1):28–38. Available from: http://dx.doi.org/10.1016/S1697-2600(14)70034-1
EU-OSHA. Calculating the cost of work-related stress and psychosocial risks [Internet]. Www.Healthy-Workplaces.Eu. 2014. 0–41 p. Available from: https://osha.europa.eu/en/publications/literature_reviews/calculating-the-cost-of-work-related-stress-and-psychosocial-risks/view
ICD-11 - Mortality and Morbidity Statistics [Internet]. [cited 2018 Jul 1]. Available from: https://icd.who.int/browse11/l-m/en
Schaufeli W, De Witte H, Desart S. Burnout Assessment Tool (BAT)—Development, Validity, and Reliability. Int. J. Environ. Res. Public Health. 2020;17(24):9495. doi:10.3390/ijerph17249495.
Lee H-F, Kuo H-T, Chang C-L, Hsu C-C, Chien T-W. Determining Cutting Points of the Maslach Burnout Inventory for Nurses to Measure Their Level of Burnout Online. Hist Res [Internet]. 2017;5(1):1–8. Available from: https://doi.org/10.11648/j.history.20170501.11.
Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav. 1981;2(2):99–113. doi: 10.1002/job.4030020205.
Córdoba L, Tamayo JA, González MA, Martínez MI, Rosales A, Barbato SH. Adaptation and validation of the Maslach Burnout Inventory-Human Services Survey in Cali, Colombia. Colomb Med. 2011;42(3):286–93. Available from: https://doi.org/10.25100/cm.v42i3.874
IBM Corp. IBM SPSS Statistics for Windows. Version 24.0. Armonk, NY: IBM Corp; 2016. Available from: https://www.ibm.com/support/pages/how-cite-ibm-spss-statistics-or-earlier-versions-spss
Hosmer D, Lemeshow S. Applied Logistic Regression. New York: John Wiley & Sons; 1989. ISBN 0-471-61553-6. Available from: http://resource.heartonline.cn/20150528/1_3kOQSTg.pdf
Kleinbaum DG. Logistic regression: A self-Learning Text. Statistics in the Health Sciences. New York: Springer; 1992. ISBN 0-387-941428
Rippstein-Leuenberger K, Mauthner O, Sexton JB, Schwendimann R. A qualitative analysis of the Three Good Things intervention in healthcare workers. BMJ Open. 2017;7(5):e015826. doi: 10.1136/bmjopen-2017-015826.
Innstrand ST, Christensen M. The Workplace as a setting: Health Promotion in the Workplace: Siw Tone Innstrand. Eur J Public Health [Internet]. 2015;25(Suppl 3). Available from: https://doi.org/10.1093/eurpub/ckv169.067
Ladher N. Shining a light on burnout. BMJ. 2017;358:3609. Available from: https://doi.org/10.1136/bmj.j3609
Saborío Morales L, Hidalgo Murillo LF. Síndrome de Burnout. Medicina Legal de Costa Rica. 2015;32(1):119–24. On-line version ISSN 2215-5287Print version ISSN 1409-0015. Available from: http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-00152015000100014&lng=en
Dall’Ora C, Griffiths P, Ball J, Simon M, Aiken LH. Association of 12 h shifts and nurses’ job satisfaction, burnout and intention to leave: Findings from a cross-sectional study of 12 European countries. BMJ Open. 2015;5(9):e008331. Available from: https://doi.org/10.1136/bmjopen-2015-008331
Fajardo Zapata ÁL. Síndrome de burnout en auxiliares de enfermería. Inclusión Y Desarrollo. 2015;2(2):62–8. ISSN-2389-7341. Available from: https://doi.org/10.26620/uniminuto.inclusion.2.2.2015.62-68
Alba Martín R. Burnout en enfermería: prevalencia y factores relacionados en el medio hospitalario. Rev Científica la Soc Española Enfermería Neurológica [Internet]. 2015;41(1):9–14. Available from: http://www.sciencedirect.com/science/article/pii/S2013524615000045
Gomez-Garcia T, Ruzafa-Martinez M, Fuentelsaz-Gallego C, Madrid JA, Rol MA, Martinez-Madrid MJ, et al. Nurses’ sleep quality, work environment and quality of care in the Spanish National Health System: Observational study among different shifts. BMJ Open. 2016;6(8):e012073. doi: 10.1136/bmjopen-2016-012073.
Metlaine A, Sauvet F, Gomez-Merino D, Elbaz M, Delafosse JY, Leger D, et al. Association between insomnia symptoms, job strain and burnout syndrome: A cross-sectional survey of 1300 financial workers. BMJ Open. 2017;7(1):e012816. Available from: https://doi.org/10.1136/bmjopen-2016-012816
Gómez-García T, Ruzafa-Martínez M, Fuentelsaz-Gallego C, et al. Nurses’ sleep quality, work environment, and quality of care in the Spanish National Health System: observational study among different shifts. BMJ Open 2016;6:e012073. doi: 10.1136/bmjopen-2016-012073
Lu Y, Hu XM, Huang XL, Zhuang XD, Guo P, Feng LF, et al. The relationship between job satisfaction, work stress, work-family conflict, and turnover intention among physicians in Guangdong, China: A cross-sectional study. BMJ Open. 2017;7(5):e014894. doi:10.1136/bmjopen-2016-014894.
Chou LP, Li CY, Hu SC. Job stress and burnout in hospital employees: Comparisons of different medical professions in a regional hospital in Taiwan. BMJ Open. 2014;4(2):e004185. doi: 10.1136/bmjopen-2013-004185.
Hinnenthal IM, Anselmo R, Delfino E, Messina G, Ricciardi W, Vaccaro D, et al. Burn-out and correlated factors of nurses and health care workers in 23 nursing homes in Liguria (Italy): Ina Maria Hinnenthal. Eur J Public Health. 2014;24(Suppl 2). doi:10.1093/eurpub/cku166.114.
National Academies of Sciences, Engineering, and Medicine. Taking Action Against Clinician Burnout: A Systems Approach to Professional Well-Being [Internet]. Washington, DC: The National Academies Press; 2019. Available from: https://www.nap.edu/catalog/25521/taking-action-against-clinician-burnout-a-systems-approach-to-professional
Bergonzoli G. Epidemiologia y Estadistica: 1001 preguntas. lo que no se atrevio preguntar, pero siempre quiso saber. Cimpretics. Santiago de Calli, 2019. ISBN 978-958-48-6059-0
Kleinbaum DG, Kupper LL, Muller KE, Nizam A. Applied Regression Analysis and Other Multivariable Methods. 1988. Wadsworth Publishing Company. ISBN 0-97150-123-6
Rencher AC. Methods of Multivariate Analysis. Second Edition. John Willey & Sons, editor. New York: Inc. Publication; 2002. ISBN: 978-0-471-46172-2. Available from: https://www.ipen.br/biblioteca/slr/cel/0241
