Skip to main navigation menu Skip to main content Skip to site footer
##common.pageHeaderLogo.altText##

Social determinants of health

Vol. 28 No. 3 (2026)

Organizational climate as a risk factor for Burnout Syndrome among workers in a home healthcare institution in Colombia, 2023

DOI
https://doi.org/10.22267/rus.262803.9667
Submitted
July 24, 2025
Published
2026-09-01

Abstract

Introduction: Burnout syndrome is a growing risk in home healthcare services, where high emotional demands and limited institutional support foster professional burnout.

Objective: To analyze organizational climate as a risk factor for burnout syndrome among workers at a home healthcare institution in Colombia, 2023.

Methods: Quantitative, cross-sectional, correlational study with full census coverage (N = 143 workers). The MBI-HSS and the EDCO Organizational Climate Survey, both validated for Spanish-speaking contexts, were administered. Analysis included Spearman correlations and multiple linear regression with verification of model assumptions.

Results: 17,5% of workers met the strict three-dimensional criterion for full burnout syndrome; 37,8% showed elevated emotional exhaustion as an independent indicator. Organizational climate correlated significantly with all three burnout dimensions (rho between −0,376 and 0,347; p < 0,001). Regression models were globally significant (p < 0,001, R² between 0,20 and 0,21), with organizational climate as the only statistically significant predictor; sociodemographic variables were non-significant across all models.

Conclusion: Organizational climate operates as an independent protective factor against burnout in home healthcare workers. Improving perceived compensation, job stability, and managerial clarity is a priority strategy to reduce professional burnout and strengthen the quality of home-based care.

References

  1. Li LZ, Yang P, Singer SJ, Pfeffer J, Mathur MB, Shanafelt T. Nurse Burnout and patient safety, satisfaction, and quality of care: A systematic review and meta-analysis. JAMA Netw Open [Internet]. 2024; 7(11):e2443059. DOI: 10.1001/jamanetworkopen.2024.43059
  2. Gil-Monte PR, Unda-Rojas S, Sandoval-Ocaña JI. Validez factorial del Cuestionario para la Evaluación del Síndrome de Quemarse por el Trabajo (CESQT) en una muestra de maestros mexicanos. Salud Ment [Internet]. 2009; 32(3):205-214. Disponible en: https://www.redalyc.org/pdf/582/58212279004.pdf
  3. Quiceno JM, Alpi SV. Burnout: Síndrome de quemarse en el trabajo (SQT). Acta Colomb Psicol [Internet]. 2007; 10(2):117-125. Disponible en: https://actacolombianapsicologia.ucatolica.edu.co/article/view/218
  4. Romani M, Ashkar K. Burnout among physicians. Libyan J Med [Internet]. 2014; 9(1):23556. DOI: 10.3402/ljm.v9.23556
  5. Korczak D, Huber B, Kister C. Differential diagnostic of the burnout syndrome. GMS Health Technol Assess [Internet]. 2010; 6:Doc09. DOI: 10.3205/hta000087
  6. Echeburúa E, Salaberría K, Cruz-Sáez M. Aportaciones y limitaciones del DSM-5 desde la psicología clínica. Ter Psicol [Internet]. 2014; 32(1):65-74. DOI: 10.4067/S0718-48082014000100007
  7. Gutiérrez-Aceves GA, Celis-López MÁ, Moreno-Jiménez S, Farias-Serratos F, Suárez-Camps JJ. Síndrome de Burnout. Arch Neurocienc [Internet]. 2006; 11(4):305-309. Disponible en: https://www.medigraphic.com/pdfs/arcneu/ane-2006/ane064m.pdf
  8. Rodríguez-Ramírez J. Propuesta: Programa integral de autocuidado. Enferm Costa Rica [Intenet]. 2010; 31(1):2-7. Disponible en: https://www.binasss.sa.cr/revistas/enfermeria/v31n1/art2.pdf
  9. Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav [Internet]. 1981; 2(2):99-113. DOI: 10.1002/job.4030020205
  10. Castillo-Parra KT, Cestagalli-Vargas N, Vernaza-Sánchez JS, Riveros-Munévar F, Quiñonez-Moreno AP. Variables asociadas al síndrome de burnout en el área de la salud de una clínica de Villavicencio, Colombia. Psicol Salud [Internet]. 2019; 9(1):51-62. DOI: 10.25009/pys.v29i1.2568
  11. Lauracio C, Lauracio T. Síndrome de Burnout y desempeño laboral en el personal de salud. Rev Innova Educ [Internet]. 2020; 2(1):543-554. DOI: 10.35622/j.rie.2020.04.003
  12. Maslach C, Leiter MP. Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry [Internet]. 2016; 15(2):103-111. DOI: 10.1002/wps.20311
  13. Aranda Beltrán C, Pando Moreno M, Salazar Estrada JG, Torres López TM, Aldrete Rodríguez MG, Pérez Reyes MB. Factores psicosociales y síndrome de Burnout en médicos del primer nivel de atención. Investig Salud [Internet]. 2004; 1(1). Disponible en: https://www.redalyc.org/pdf/142/14260106.pdf
  14. Thomae MN, Ayala EA, Sphan MS, Stortti MA. Etiología y prevención del síndrome de Burnout. Rev Posgrado VIa Cátedra Med [Internet]. 2006; 158:18-21. Disponible en: https://redbiblio.unne.edu.ar/pergamo/documento.php?ui=8&recno=8993&id=MEDICINA.8.8993
  15. Cruz DM, Puentes-Suárez A. Relación entre las diferentes dimensiones del síndrome de Burnout y las estrategias de afrontamiento empleadas por los guardas de seguridad de una empresa privada de la ciudad de Tunja. Psicogente [Internet]. 2017; 20(38):268-281. DOI: 10.17081/psico.20.38.2548
  16. Ishak WW, Lederer S, Mandili C, Nikravesh R, Seligman L, Vasa M, et al. Burnout during residency training: A literature review. J Grad Med Educ [Internet]. 2009; 1(2):236-242. DOI: 10.4300/JGME-D-09-00054.1
  17. Wu Y, Wu M, Wang C, Lin J, Liu J, Liu S. Evaluating the prevalence of Burnout among health care professionals related to electronic health record use: Systematic review and meta-analysis. JMIR Med Inform [Internet]. 2024; 12:e54811. DOI: 10.2196/54811
  18. Gil-Monte PR, Moreno-Jiménez B. El síndrome de quemarse por el trabajo (Burnout): Una enfermedad laboral en la sociedad del bienestar. Madrid (ESP): Pirámide; 2005. DOI: 10.13140/2.1.4614.8806
  19. Agudelo-Cardona CA, Castaño-Castrillón JJ, Arango CA, Durango-Rodríguez LA, Muñoz-Gallego V, Ospina-González A, et al. Prevalencia y factores psicosociales asociados al Síndrome de Burnout en médicos que laboran en instituciones de las ciudades de Manizales y La Virginia (Colombia) 2011. Arch Med [Internet]. 2011; 11(2):91-100. Disponible en: https://www.redalyc.org/pdf/2738/273821489002.pdf
  20. Bojórquez Y, Martínez R, Sansores G. Dimensiones del clima organizacional en docentes de escuelas telesecundarias. En: Zapata A, Canto PJ, Cisneros EJ, eds. Memorias del Congreso de Docencia, Investigación e Innovación Educativa 2021. Mérida (MEX): Universidad Autónoma de Yucatán; 2021. p. 587-96.
  21. Nunn K, Isaacs D. Burnout. J Paediatr Child Health [Internet]. 2019; 55(1):5-6. DOI: 10.1111/jpc.14331
  22. Rothenberger DA. Physician Burnout and well-being: A systematic review and framework for action. Dis Colon Rectum [Internet]. 2017; 60(6):567-576. DOI: 10.1097/DCR.0000000000000844
  23. Shanafelt TD, Balch CM. Burnout and career satisfaction among American surgeons. Ann Surg [Internet]. 2009; 250(3):463-470. DOI: 10.1097/SLA.0b013e3181ac4dfd
  24. Borda-Pérez, Navarro-Lechuga M, Aun-Aun E, Berdejo-Pacheco H, Racedo-Rolón K, Ruiz-Sará J. Síndrome de Burnout en estudiantes de internado del Hospital Universidad del Norte. Salud Uninorte [Internet]. 2007; 23(1):43-51. Disponible en: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-55522007000100006
  25. González-Rodríguez R, López-Castedo A, Pastor-Seller E, Verde-Diego C. Síndrome de Burnout en el sistema de salud: El caso de las trabajadoras sociales sanitarias. Enferm Glob [Internet]. 2020; 19(58):141-161. DOI: 10.6018/eglobal.382631
  26. Zis P, Anagnostopoulos F, Sykioti P. Burnout in medical residents: A study based on the job demands-resources model. Sci World J [Internet]. 2014; 2014:673279. DOI: 10.1155/2014/673279
  27. World Health Organization. International classification of diseases for mortality and morbidity statistics. 11th rev. Geneva (CHE): WHO; 2019. Disponible en: https://icdcdn.who.int/icd11referenceguide/en/refguide.pdf
  28. Lockley SW, Cronin JW, Evans EE, Cade BE, Lee CJ, Landrigan CP, et al. Effect of reducing interns’ weekly work hours on sleep and attentional failures. N Engl J Med [Internet]. 2004; 351(18):1829-1837. DOI: 10.1056/NEJMoa041404
  29. Canchila García JC, Díaz Urrutia A, Henao NV, Rentería Panesso J. Prevalencia y caracterización sociodemográfica del Síndrome de Burnout en los colaboradores de la Nueva E.S.E Hospital Departamental San Francisco de Asís de Chocó - Colombia durante el primer semestre de 2021. Ciencia Lat [Internet]. 2022; 6(4):4574-4593. DOI: 10.37811/cl_rcm.v6i4.2957
  30. Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol. 2001; 52:397-422. DOI: 10.1146/annurev.psych.52.1.397
  31. Maslach C, Jackson SE, Leiter MP. Maslach Burnout Inventory manual. 3ra ed. Consulting Psychologists Press; 1996. Disponible en: https://books.google.com.co/books/about/Maslach_Burnout_Inventory_Manual.html?id=hhgvNQAACAAJ
  32. Gil-Monte PR. Factorial validity of the Maslach Burnout Inventory (MBI-HSS) among Spanish professionals. Rev Saude Publica [Internet]. 2005; 39(1):1-8. DOI: 10.1590/s0034-89102005000100001
  33. 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 [Internet]. 2024; 42(3):286-293. DOI: 10.25100/cm.v42i3.874
  34. García-Pérez L, Pino YM, Ansoleaga E. Prevalence of occupational stress-related syndromes among health care workers in Latin America from 2019 to 2023. Rev Bras Med Trab [Internet]. 2025; 23(1):e20241329. DOI: 10.47626/1679-4435-2024-1329
  35. Lin CY, Alimoradi Z, Griffiths MD, Pakpour AH. Psychometric properties of the Maslach Burnout Inventory for Medical Personnel (MBI-HSS-MP). Heliyon [Internet]. 2022; 8(2):e08868. DOI: 10.1016/j.heliyon.2022.e08868
  36. Noriega V, Pría M. Instrumento para evaluar el clima organizacional en los grupos de control de vectores. Rev Cubana Salud Pública [Internet]. 2011; 37(2):116–122. Disponible en: https://www.redalyc.org/pdf/214/21418849004.pdf
  37. McNeish D. Thanks coefficient alpha, we'll take it from here. Psychol Methods [Internet]. 2018; 23(3):412-433. DOI: 10.1037/met0000144
  38. Revelle W, Zinbarg RE. Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika [Internet]. 2009; 74(1):145-154. DOI: 10.1007/s11336-008-9102-z
  39. World Medical Association. Declaration of Helsinki: Ethical principles for medical research involving human participants [Internet]. 2024 [cited 2026 Mar 19]. Disponible en: https://www.wma.net/policies-post/wma-declaration-of-helsinki
  40. Ministerio de Salud y Protección Social de Colombia. Resolución 8430 de 1993 por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud [Internet]. Bogotá (COL): MinSalud; 1993 [citado 2026 Mar 19]. Disponible en: https://www.minsalud.gov.co/sites/rid/lists/bibliotecadigital/ride/de/dij/resolucion-8430-de-1993.pdf
  41. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 8th ed. Cengage Learning; 2019. Disponible en: https://www.cengage.uk/c/multivariate-data-analysis-8e-hair-babin-anderson-black/9781473756540/?searchIsbn=9781473756540
  42. McKinney W. Data structures for statistical computing in Python. En: van der Walt S, Millman J, editores. Proceedings of the 9th Python Science Conference [Internet]. 2010; 56-61. DOI: 10.25080/Majora-92bf1922-00a
  43. Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods [Internet]. 2020; 17(3):261-272. DOI: 10.1038/s41592-019-0686-2
  44. Seabold S, Perktold J. Statsmodels: econometric and statistical modeling with Python. Proceedings of the 9th Python in Science Conference [Internet]. 2010; 92-96. DOI: 10.25080/Majora-92bf1922-011
  45. Ramirez-Rios JL, Pardo-Báez JF, Fuentes-Estepa CJ, Toledo-Arenas JD. Prevalencia del síndrome de burnout en médicos familiares que laboran en Colombia y factores asociados. Rev Salud Publica [Internet]. 2023; 25(5):100694. DOI: 10.15446/rsap.V25n5.100694
  46. Cohen J. Statistical power analysis for the behavioral sciences. 2th ed. New York (USA): Routledge; 1988. DOI: 10.4324/9780203771587
  47. Almeida MCS, Barros VG, Silva SM, Silva FJ, Yamassake RT, Telles ACM, et al. Organizational climate, job satisfaction, and burnout in nursing workers. Rev Bras Med Trab [Internet]. 2023; 21(2):e2022867. DOI: 10.47626/1679-4435-2022-867
  48. Demerouti E, Bakker AB. Job demands-resources theory in times of crises: New propositions. Organ Psychol Rev [Internet]. 2023; 13(3):209-236. DOI: 10.1177/20413866221135022
  49. Dorneles AJA, Dalmolin GL, Barlem ELD, Silveira RS, Andolhe R, Camponogara S, et al. Burnout, ethical climate and work organization in covid-19 intensive care units: mixed method study. Rev Bras Enferm [Internet]. 2023; 76(6):e20220684. DOI: 10.1590/0034-7167-2022-0684
  50. Wei Z, Xia B, Jiang L, Zhu H, Li L, Wang L, et al. Factors affecting occupational burnout in medical staff: a path analysis based on the job demands-resources perspective. Front Psychiatry [Internet]. 2024; 15:1490171. DOI: 10.3389/fpsyt.2024.1490171
  51. Yang L, Lei Y, Chu D, Jiang J, Li Z, Tang Y, et al. Exploring antecedents and outcomes of burnout among emergency department staff using the job demands-resources model: A scoping review protocol. PLoS ONE [Internet]. 2024; 19(3):e0300040. DOI: 10.1371/journal.pone.0300040

Downloads

Download data is not yet available.
//