Construct validity and reliability of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) in Peruvian physicians
Keywords:
Burnout syndrome, validation, reliability, Maslach inventoryAbstract
Introduction: Burnout syndrome has an impressive list of negative consequences for physicians. Objective: Determine the validation and reliability of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) in Peruvian physicians. Methods: Instrumental study of the MBI-HSS based on a secondary analysis from the National Survey of User Satisfaction in Health 2016, in a sample of 2216 physicians. Reliability was assessed with Cronbach's alpha coefficient and construct validation through Pearson's Rho correlation coefficient. Results: Cronbach's alpha coefficient for the total scale was 0.908 (95% CI:.902-.913). Moderate but significant positive correlations were observed between the scale results and little interest or pleasure in doing things (Rho=.399; p=.000); as well as with the perception of being discouraged, sad, depressed or hopeless (Rho=.322; p=.000) in the last weeks. Conclusion: The factorial structure of the MBI-HSS follows the original Maslach model with satisfactory psychometric properties, making it a valid and reliable instrument for Peruvian physicians screening.
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19. Ng L, Lian C. Burnout in primary care physicians and interventions - An evidence-based review. Singap Fam Physic [Internet]. 2016 Jan 1 [cited 2023 Feb 12];42(1):6–12. Available from: https://www.cfps.org.sg/publications/the-singapore-family-physician/article/983
20. Forné C, Yuguero O. Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study. BMC Med Educ [Internet]. 2022 Dec 1 [cited 2023 Feb 12];22(1). Available from: https://pubmed.ncbi.nlm.nih.gov/35962362/
2. Koutsimani P, Montgomery A, Georganta K. The relationship between burnout, depression, and anxiety: A systematic review and meta-analysis. Front Psychol. 2019 Mar 13;10(MAR):284.
3. Patel RS, Sekhri S, Bhimanadham NN, Imran S, Hossain S. A review on strategies to manage physician burnout. Cureus [Internet]. 2019 Jun 3 [cited 2023 Feb 12];11(6):e4805. Available from: https://pubmed.ncbi.nlm.nih.gov/31404361/
4. Guseva Canu I, Marca SC, Dell’Oro F, Balázs Á, Bergamaschi E, Besse C, et al. Harmonized definition of occupational burnout: A systematic review, semantic analysis, and Delphi consensus in 29 countries. Scand J Work Environ Health [Internet]. 2021 [cited 2023 Feb 12];47(2):95–107. Available from: https://pubmed.ncbi.nlm.nih.gov/33258478/
5. Shoman Y, Marca SC, Bianchi R, Godderis L, van der Molen HF, Guseva Canu I. Psychometric properties of burnout measures: a systematic review. Epidemiol Psychiatr Sci [Internet]. 2021 [cited 2023 Feb 13];30:e8. Available from: /pmc/articles/PMC8057391/
6. Hederich-Martínez C, Caballero-Domínguez CC. Validación del cuestionario Maslach Burnout Inventory-Student Survey (MBI-SS) en contexto académico colombiano. CES Psicología [Internet]. 2016 [cited 2023 Feb 12];9(1):1–15. Available from: https://www.redalyc.org/articulo.oa?id=423545768002
7. Kulakova O, Jiménez BM, Garrosa E, Hernández MOS, Aragón A. Universalidad del constructo del Maslach Burnout Inventory en un contexto latinoamericano. Acta Investig Psicol [Internet]. 2017 Aug [cited 2023 Feb 12];7(2):2680–90. Available from: https://www.revista-psicologia.unam.mx/revista_aip/index.php/aip/article/view/52
8. Merino-Soto C, Calderón-De La Cruz GA. Validez de estudios peruanos sobre estrés y burnout. Rev Peru Med Exp Salud Publica [Internet]. 2018 Apr 1 [cited 2023 Feb 12];35(2):353–4. Available from: http://www.scielo.org.pe/scielo.php?script=sci_arttext&pid=S1726-46342018000200031&lng=es&nrm=iso&tlng=es
9. Yslado-Martínez RM, Ramírez-Asís EH, García-Figueroa ME. Propiedades psicométricas del cuestionario burnout para profesores universitarios en una muestra peruana. Arch de Med (Col) [Internet]. 2021 Jun 20 [cited 2023 Feb 12];21(2):425–35. Available from:
https://www.redalyc.org/journal/2738/273868435010/html/
10. Calderón-De la Cruz GA, Merino-Soto C. Analysis of the internal structure of the maslach burnout inventory (Human service survey) in peruvian physicians. Rev Cienc de la Sal. 2020;18(2):1–17.
11. Superintendencia Nacional de Salud. ENSUSALUD - Base De Datos - 2016 [Internet]. Encuestas de Satisfacción a nivel nacional. 2016 [cited 2023 Feb 12]. Available from: http://portal.susalud.gob.pe/blog/base-de-datos-2016/
12. Williamson K, Lank PM, Cheema N, Hartman N, Lovell EO. Comparing the Maslach Burnout Inventory to other well-being instruments in Emergency Medicine residents. J Grad Med Educ [Internet]. 2018 Oct 1 [cited 2023 Feb 13];10(5):536. Available from: /pmc/articles/PMC6194874/
13. O’Connor K, Muller Neff D, Pitman S. Burnout in mental health professionals: A systematic review and meta-analysis of prevalence and determinants. Europ Psych [Internet]. 2018 Sep 1 [cited 2023 Feb 13];53:74–99. Available from: https://www.cambridge.org/core/journals/european-psychiatry/article/burnout-in-mental-health-professionals-a-systematic-review-and-metaanalysis-of-prevalence-and-determinants/8DE6B29F7AD65E2442726CA8D1F7F876
14. Maticorena-Quevedo J, Beas R, Anduaga-Beramendi A, Mayta-Tristán P. Prevalencia del síndrome de burnout en médicos y enfermeras del Perú, ENSUSALUD 2014. Rev Peru Med Exp Salud Pública [Internet]. 2014 [cited 2022 Jan 23];33(2):241–8. Available from: http://www.scielo.org.pe/pdf/rins/v33n2/a07v33n2.pdf
15. Boateng GO, Neilands TB, Frongillo EA, Melgar-Quiñonez HR, Young SL. Best practices for developing and validating scales for health, social, and behavioral research: A primer. Front Public Health. 2018 Jun 11;6:149.
16. Rojas-Torres L. Robustez de los índices de ajuste del análisis factorial confirmatorio a los valores extremos. Rev de Mat Teor y Aplic [Internet]. 2020 Jun 25 [cited 2023 Feb 13];27(2):383–404. Available from: http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332020000200383&lng=en&nrm=iso&tlng=es
17. Jun J, Ojemeni MM, Kalamani R, Tong J, Crecelius ML. Relationship between nurse burnout, patient and organizational outcomes: Systematic review. Int J Nurs Stud [Internet]. 2021 Jul 1 [cited 2023 Feb 12];119. Available from: https://pubmed.ncbi.nlm.nih.gov/33901940/
18. De Hert S. Burnout in healthcare workers: Prevalence, impact and preventative strategies. Local Reg Anesth [Internet]. 2020 [cited 2023 Feb 12];13:183. Available from: /pmc/articles/PMC7604257/
19. Ng L, Lian C. Burnout in primary care physicians and interventions - An evidence-based review. Singap Fam Physic [Internet]. 2016 Jan 1 [cited 2023 Feb 12];42(1):6–12. Available from: https://www.cfps.org.sg/publications/the-singapore-family-physician/article/983
20. Forné C, Yuguero O. Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study. BMC Med Educ [Internet]. 2022 Dec 1 [cited 2023 Feb 12];22(1). Available from: https://pubmed.ncbi.nlm.nih.gov/35962362/
Published
2023-07-18
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Oyola García AE, Zagaceta-Guevara Z, Quispe-Ilanzo MP. Construct validity and reliability of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) in Peruvian physicians. Rev. Hosp. Psiq. Hab. [Internet]. 2023 Jul. 18 [cited 2025 Nov. 24];20(2). Available from: https://revhph.sld.cu/index.php/hph/article/view/339
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Copyright (c) 2023 ALFREDO ENRIQUE OYOLA GARCÍA, ZAIDA ZAGACETA-GUEVARA, MELISA PAMELA QUISPE-ILANZO
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