Burnout, depresión y horas de sueño en personal de enfermería y medicina de Perú: un análisis de redes.

Andy Rick Sánchez-Villena

doi:10.18050/psiquemag.v14i1.3280

Authors

Andy Rick Sánchez-Villena Universidad Tecnológica del Perú https://orcid.org/0000-0001-7828-5884

DOI:

https://doi.org/10.18050/psiquemag.v14i1.3280

Keywords:

Burnout, Depression, Sleeping hour, Nursing, Medicine

Abstract

Healthcare professionals are one of the most vulnerable groups to suffer from burnout due to situations of high work pressure, working schedules, rotating schedules, etc. This can increase the probability of suffering depression and sleep problems. However, to date, no analysis has been implemented to evaluate the interaction between burnout, depression and sleep hours in physicians and nurses in Peru. Therefore, the aim of the study was to examine the relationship between the components of burnout, depression and hours of sleep in nursing and medical professionals in Peru. Information was obtained from 2216 physicians (M_age = 45.55, SD = 11.50) and 2882 nurses (M_age = 44.63, SD = 11.09) who were administered the Maslach Burnout Inventory- Human Service Survey and the Patient Health Questionnaire-2. Network analysis was performed in R software and network invariance was calculated. The results indicated that emotional exhaustion was the central node, which correlates with depression and hours of sleep. It was concluded that hours of sleep are associated to a greater extent with emotional exhaustion, and the network was invariant according to profession.

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References

Adriaenssens, J., De Gucht, V., & Maes, S. (2015). Determinants and prevalence of burnout in emergency nurses: A systematic review of 25 years of research. International Journal of Nursing Studies, 52(2), 649-661. https://doi.org/10.1016/j.ijnurstu.2014.11.004

Aryankhesal, A., Mohammadibakhsh, R., Hamidi, Y., Alidoost, S., Behzadifar, M., Sohrabi, R., & Farhadi, Z. (2019). Interventions on reducing burnout in physicians and nurses: A systematic review. Medical Journal of the Islamic Republic of Iran, 33, 77. https://doi.org/10.34171/mjiri.33.77

Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. https://doi.org/10.6018/analesps.29.3.178511

Calderón-de la Cruz, G. A., Merino-Soto, C., Juárez-García, A., Dominguez-Lara, S., & Fernández-Arata, M. (2020a). ¿Es replicable la estructura factorial del Maslach Burnout Inventory Human Service Survey (MBI-HSS) en la profesión de enfermera del Perú?: Un estudio nacional. Enfermería Clínica, 30(5), 340-348. https://doi.org/10.1016/j.enfcli.2019.12.013

Calderón-De la Cruz G. A., & Merino-Soto, C. (2020b). Análisis de la estructura interna del Maslach Burnout Inventory (Human Service Survey) en médicos peruanos. Revista Ciencias de la Salud, 18(2), 1–17. https://doi.org/10.12804/revistas.urosario.edu.co/revsalud/a.9275

Carrillo-Esper, R., Hernández, K. G., & Estrada, I. E. de los M. (2012). Síndrome de burnout en la práctica médica. Medicina Interna de México, 28(6), 579-584.

Chen, C., & Meier, S. T. (2021). Burnout and depression in nurses: A systematic review and meta-analysis. International Journal of Nursing Studies, 124, 104099. https://doi.org/10.1016/j.ijnurstu.2021.104099

Clark, I., & Landolt, H. P. (2017). Coffee, caffeine, and sleep: A systematic review of epidemiological studies and randomized controlled trials. Sleep Medicine Reviews, 31, 70-78. https://doi.org/10.1016/j.smrv.2016.01.006

Cobo, N., Álvarez, J., Parra, L., Gómez, L., & Acosta, M. (2019). Prevalencia del síndrome de Burnout en médicos iberoamericanos entre 2012 y 2018: Una revisión sistemática. Diálogos de saberes, 50, 39-60. https://doi.org/10.18041/0124-0021/dialogos.50.2019.5551

Edward, K., Ousey, K., Warelow, P., & Lui, S. (2014). Nursing and aggression in the workplace: A systematic review. British Journal of Nursing, 23(12), 653-659. https://doi.org/10.12968/bjon.2014.23.12.653

Epskamp, S. (2020). bootnet: Bootstrap methods for various network estimation routines. [Software]. https://cran.r-project.org/package=bootnet

Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195-212. https://doi.org/10.3758/s13428-017-0862-1

Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617-634. https://doi.org/10.1037/met0000167

Fischer, R., Mattos, P., Teixeira, C., Ganzerla, D. S., Rosa, R. G., & Bozza, F. A. (2020). Association of Burnout With Depression and Anxiety in Critical Care Clinicians in Brazil. JAMA Network Open, 3(12), e2030898. https://doi.org/10.1001/jamanetworkopen.2020.30898

Fonseca-Pedrero, E. (2017). Network analysis: A new way of understanding psychopathology? Revista de Psiquiatría y Salud Mental (English Edition), 10(4), 206-215. https://doi.org/10.1016/j.rpsmen.2017.10.005

García-Iglesias, J. J., Salgado, J. G., Rivera, J. F., Martín, M. R., Tablino, L., & Abal, Y. N. (2021). Factores predictores de los niveles de burnout y work engagement en médicos y enfermeras: Una revisión sistemática. Revista española de salud pública, 95, 188.

Instituto Nacional de Estadística e Informática. (2016). Encuesta Nacional de Satisfacción de Usuarios en Salud 2016. http://portal.susalud.gob.pe/wp-content/uploads/archivo/encuesta-sat-nac/2016/INFORME_FINAL_ENSUSALUD_2016.pdf

Isvoranu, A.-M., Abdin, E., Chong, S. A., Vaingankar, J., Borsboom, D., & Subramaniam, M. (2021). Extended network analysis: From psychopathology to chronic illness. BMC Psychiatry, 21(1), 119. https://doi.org/10.1186/s12888-021-03128-y

Isvoranu, A.-M., & Epskamp, S. (2021). Which Estimation Method to Choose in Network Psychometrics? Deriving Guidelines for Applied Researchers [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mbycn

Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2003). The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener. Medical Care, 41(11), 1284-1292.

López‐López, I. M., Gómez‐Urquiza, J. L., Cañadas, G. R., De la Fuente, E. I., Albendín‐García, L., & Cañadas‐De la Fuente, G. A. (2019). Prevalence of burnout in mental health nurses and related factors: A systematic review and meta‐analysis. International Journal of Mental Health Nursing, 28(5), 1035-1044. https://doi.org/10.1111/inm.12606

Maslach, C., Leiter, M. P., & Schaufeli, W. (2008). Measuring Burnout. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199211913.003.0005

Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job Burnout. Annual Review of Psychology, 52(1), 397-422. https://doi.org/10.1146/annurev.psych.52.1.397

Melnyk, B. M. (2020). Burnout, Depression and Suicide in Nurses/Clinicians and Learners: An Urgent Call for Action to Enhance Professional Well‐being and Healthcare Safety. Worldviews on Evidence-Based Nursing, 17(1), 2-5. https://doi.org/10.1111/wvn.12416

Monsalve-Reyes, C. S., San Luis-Costas, C., Gómez-Urquiza, J. L., Albendín-García, L., Aguayo, R., & Cañadas-De la Fuente, G. A. (2018). Burnout syndrome and its prevalence in primary care nursing: A systematic review and meta-analysis. BMC Family Practice, 19(1), 59. https://doi.org/10.1186/s12875-018-0748-z

Nezkusilova, J., Chylova, M., & Seilerova, M. (2020). Stress, Exhaustion And Depression: The Central Variables In High-Risk Professions And The Role Of Personal Resources. En C. Pracana & M. Wang (Eds.), Psychology Applications & Developments VI. In Science Press.

Nutt, D., Wilson, S., & Paterson, L. (2008). Sleep disorders as core symptoms of depression. Dialogues in Clinical Neuroscience, 10(3), 329-336. https://doi.org/10.31887/DCNS.2008.10.3/dnutt

Organización Internacional del Trabajo (2016). Estrés en el trabajo, un reto colectivo. Organización Internacional del Trabajo.

Organización Internacional del Trabajo. (2022, septiembre). La OMS y la OIT piden nuevas medidas para abordar los problemas de salud mental en el trabajo. https://www.ilo.org/es/resource/news/la-oms-y-la-oit-piden-nuevas-medidas-para-abordar-los-problemas-de-salud

Pradas-Hernández, L., Ariza, T., Gómez-Urquiza, J. L., Albendín-García, L., De la Fuente, E. I., & Cañadas-De la Fuente, G. A. (2018). Prevalence of burnout in paediatric nurses: A systematic review and meta-analysis. PLOS ONE, 13(4), e0195039. https://doi.org/10.1371/journal.pone.0195039

Rezaei, S., Karami Matin, B., Hajizadeh, M., Soroush, A., & Nouri, B. (2018). Prevalence of burnout among nurses in Iran: A systematic review and meta-analysis. International Nursing Review, 65(3), 361-369. https://doi.org/10.1111/inr.12426

Robinaugh, D. J., Millner, A. J., & McNally, R. J. (2016). Identifying highly influential nodes in the complicated grief network. Journal of Abnormal Psychology, 125(6), 747-757. https://doi.org/10.1037/abn0000181

Rotenstein, L. S., Torre, M., Ramos, M. A., Rosales, R. C., Guille, C., Sen, S., & Mata, D. A. (2018). Prevalence of Burnout Among Physicians: A Systematic Review. JAMA, 320(11), 1131. https://doi.org/10.1001/jama.2018.12777

Steiger, A., & Pawlowski, M. (2019). Depression and Sleep. International Journal of Molecular Sciences, 20(3), Article 3. https://doi.org/10.3390/ijms20030607

Stewart, N. H., & Arora, V. M. (2019). The Impact of Sleep and Circadian Disorders on Physician Burnout. Chest, 156(5), 1022-1030. https://doi.org/10.1016/j.chest.2019.07.008

Tabachnick, B. G. & Fidell, L. S. (2013) Using multivariate statistics (6th ed.) Pearson

Tokac, U., & Razon, S. (2021). Nursing professionals’ mental well‐being and workplace impairment during the COVID‐19 crisis: A Network analysis. Journal of Nursing Management, 29(6), 1653-1659. https://doi.org/10.1111/jonm.13285

Trujillo, D. P., López, L. P., & Buitrago, N. J. (2020). Síndrome de Burnout en médicos de Latinoamérica: Una revisión de alcance de la literatura, 2010 – 2020 [Universidad del Rosario]. https://doi.org/10.48713/10336_30735

Van Borkulo. (2015). Network comparison test: Permutation-based test of differences in strength of networks [Software]. https://github.com/cvborkulo/NetworkComparisonTest

Vásquez-Navas, S., & Gea-Izquierdo, E. (2023). Sociodemographic factors in the development of Burnout Syndrome in South and Central American physicians. Revista de Salud Pública, 25(2), 1-9. https://doi.org/10.15446/rsap.v25n2.105798

Verkuilen, J., Bianchi, R., Schonfeld, I. S., & Laurent, E. (2021). Burnout–Depression Overlap: Exploratory Structural Equation Modeling Bifactor Analysis and Network Analysis. Assessment, 28(6), 1583-1600. https://doi.org/10.1177/1073191120911095

Weaver, M. D., Robbins, R., Quan, S. F., O’Brien, C. S., Viyaran, N. C., Czeisler, C. A., & Barger, L. K. (2020). Association of Sleep Disorders With Physician Burnout. JAMA Network Open, 3(10), e2023256. https://doi.org/10.1001/jamanetworkopen.2020.23256

World Health Organization. (2019, mayo). Burn-out an "occupational phenomenon": International Classification of Diseases. https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases

Yslado, R. M., Sánchez-Broncano, J., De La Cruz-Valdiviano, C., Quiñones-Anaya, I., & Reynosa Navarro, E. (2024a). Psychometric properties of the Maslach Burnout Inventory in healthcare professionals, Ancash Region, Peru. F1000 Research, 12, Article 1253. https://doi.org/10.12688/f1000research.139258.1

Yslado, R.M., Sanchez-Broncano, J., Ramirez, G. D., & Villarreal-Zegarra, D. (2024b). Prevalence and factors associated with burnout syndrome in Peruvian health professionals before the COVID-19 pandemic: A systematic review. Heliyon, 10(9), Article e30125. https://doi.org/10.1016/j.heliyon.2024.e30125

Zhang, Z., Chen, H., Li, X., Chen, S., Wang, Z., Yang, J., Zengyu, C., Wang, X., & Zhou, J. (2024). Differences in the depression and burnout networks between doctors and nurses: evidence from a network analysis. BMC public health, 24(1), 1668.