Abstract

Burnout remains a significant occupational threat to healthcare workers (HCWs). Existing instruments, e.g., the Maslach Burnout Inventory, have limited applicability in healthcare-specific contexts. This study aimed to develop and validate the Burnout Scale for Assessing Stress in Healthcare Workers (BSAS-HCW), designed to measure cognitive and emotional exhaustion. A cross-sectional survey was conducted among 245 Malaysian HCWs representing diverse roles, including staff nurses (57.7%), house officers (14.3%), medical officers (13.5%), specialists (5.7%), pharmacists (4.5%), and other HCWs. Exploratory factor analysis revealed a two-factor structure with strong internal consistency (Cronbach's alpha: cognitive = 0.95; emotional = 0.97), and all items loaded above 0.4. Rasch analysis supported unidimensionality, robust item fit, and minimal differential item functioning across sex and ethnicity. Person and item reliability exceeded 0.93, with Wright Maps indicating effective item-person targeting. The instrument explained over 70% of the total variance, demonstrating strong psychometric validity. The BSAS-HCW provided a culturally and occupationally relevant tool for assessing burnout among HCWs in high-stress clinical environments. Its dual-domain design addresses the cognitive and emotional toll of burnout more comprehensively than existing tools, enabling more effective detection, monitoring, and intervention strategies across diverse healthcare roles.

References

1. Mehta V, Ajmera P, Kalra S, et al. Human resource shortage in India’s health sector: A scoping review of the current landscape. BMC Public Health. 2024; 24: 1368. DOI: 10.1186/S12889-024-18850-X.

2. Vallasamy SK, Ismail R, Sundram BM. Effectiveness of Burnout Assessment Scales Among Healthcare Workers in Malaysia: A Systematic Review. J Health Res. 2024; 38 (4): 350–369. DOI: 10.56808/2586-940X.1089.

3. Jachmann A, Loser A, Mettler A, et al. Burnout, Depression, and Stress in Emergency Department Nurses and Physicians and the Impact on Private and Work Life: A Systematic Review. JACEP Open. 2025; 6 (2): 100046. DOI: 10.1016/J.ACEPJO.2025.100046.

4. Kabunga A, Kigongo E, Musinguzi M, et al. Level of burnout and associated factors among healthcare workers in central Uganda: A facility-based cross-sectional study. PLoS One. 2024; 19 (10): e0309701. DOI: 10.1371/JOURNAL.PONE.0309701.

5. Woo T, Ho R, Tang A, et al. Global prevalence of burnout symptoms among nurses: A systematic review and meta-analysis. J Psychiatr Res. 2020; 123: 9–20. DOI: 10.1016/J.JPSYCHIRES.2019.12.015.

6. Shen X, Xu H, Feng J, et al. The global prevalence of burnout among general practitioners: A systematic review and meta-analysis. Fam Pract. 2022; 39 (5): 943–950. DOI: 10.1093/FAMPRA/CMAB180.

7. Ong J, Ong AML, Ong S, et al. Burnout and work-related stressors in gastroenterology: A protocol for a multinational observational study in the ASEAN region. BMJ Open Gastroenterol. 2020; 7: ee000534. DOI: 10.1136/BMJGAST-2020-000534.

8. Abdul Aziz AF, Ong T. Prevalence and associated factors of burnout among working adults in Southeast Asia: Results from a public health assessment. Front Public Health. 2024; 12: 1326227. DOI: 10.3389/FPUBH.2024.1326227.

9. Chor WPD, Ng WM, Cheng L, et al. Burnout amongst emergency healthcare workers during the COVID-19 pandemic: A multi-center study. Am J Emerg Med. 2021; 46: 700–702. DOI: 10.1016/j.ajem.2020.10.040.

10. Hart D, Paetow G, Zarzar R. Does implementation of a corporate wellness initiative improve burnout? West J Emerg Med. 2019; 20: 138–144. DOI: 10.5811/WESTJEM.2018.10.39677.

11. Maslach C, Leiter MP. Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry. 2016; 15 (2): 103–111. DOI: 10.1002/WPS.20311.

12. Bianchi R, Swingler G, Schonfeld IS. The Maslach Burnout Inventory is not a measure of burnout. Work. 2024; 79 (3): 1525–1527. DOI: 10.3233/WOR-240095.

13. Bianchi R, Schonfeld IS, Laurent E. Burnout-depression overlap: A review. Clin Psychol Rev 2015; 36: 28–41. DOI: 10.1016/J.CPR.2015.01.004.

14. Hochberg CH, Eakin MN. Keys to Successful Survey Research in Health Professions Education. ATS Sch. 2024; 5 (1): 206–217. DOI: 10.34197/ATS-SCHOLAR.2023-0112RE

15. Brant JM, Haas-Haseman ML, Wei SH, et al. Understanding and Evaluating Survey Research. J Adv Pract Oncol. 2015; 6 (2): 168–171. DOI: 10.6004/jadpro.2015.6.2.9.

16. Yusoff MSB, Arifin WN, Hadie SNH. ABC of questionnaire development and validation for survey research. Educ Med J. 2021; 13 (1): 97–108; DOI: 10.21315/EIMJ2021.13.1.10.

17. Koo M, Yang S-W. Questionnaire Use and Development in Health Research. Encyclopedia. 2025; 5 (2): 65. DOI: 10.3390/ENCYCLOPEDIA5020065.

18. Tavakol M, Wetzel A. Factor Analysis: A means for theory and instrument development in support of construct validity. Int J Med Educ. 2020; 11: 245–247. DOI: 10.5116/IJME.5F96.0F4A.

19. Shrestha N. Factor Analysis as a Tool for Survey Analysis. Am J Appl Math Stat. 2021; 9 (1): 4–11. DOI: 10.12691/AJAMS-9-1-2.

20. Vakili MM. Assessment of construct validity questionnaires in psychological, educational and Health research: Applications, Methods, and Interpretation of Exploratory factor analysis. J Med Educ Dev. 2018; 11 (30): 4–21. DOI: 10.29252/EDCJ.11.30.4.

21. Yasin RM, Yunus FAN, Rus RC, et al. Validity and Reliability Learning Transfer Item Using Rasch Measurement Model. Procedia Soc Behav Sci. 2015; 204: 212–217. DOI: 10.1016/J.SBSPRO.2015.08.143.

22. Lalot F, Räikkönen J, Ahvenharju S. An item response theory approach to measurement in environmental psychology: A practical example with environmental risk perception. J Environ Psychol. 2025; 101: 102520. DOI: 10.1016/J.JENVP.2025.102520.

23. Davis DR, Boone W. Using Rasch analysis to evaluate the psychometric functioning of the other-directed, lighthearted, intellectual, and whimsical (OLIW) adult playfulness scale. Int J Educ Res Open. 2021; 2: 100054. DOI: 10.1016/J.IJEDRO.2021.100054.

24. Avinç E, Doğan F. Digital literacy scale: Validity and reliability study with the rasch model. Educ Inf Technol (Dordr). 2024; 29 (17): 22895–22941. DOI: 10.1007/S10639-024-12662-7.

25. Boateng GO, Neilands TB, Frongillo EA, et al. Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Front Public Health. 2018; 6: 366616. DOI: 10.3389/FPUBH.2018.00149.

26. Teng ZS, Ser GTZ, Hong WH, et al. Malaysian Medical Students’ Career Intention (MMSCI): A cross-sectional study. Hum Resour Health. 2024; 22: 59. DOI: 10.1186/S12960-024-00939-4.

27. Karlsson N, Atkinson MJ, Müllerová H, et al. Validation of a diagnosis-agnostic symptom questionnaire for asthma and/or COPD. ERJ Open Res. 2021; 7 (1): 00828-2020. DOI: 10.1183/23120541.00828-2020.

28. Józefczyk A. The Effects of Stability of Uncontrollability Experiences on Cognitive Exhaustion. Soc Psychol Bull. 2018; 13 (1): e2421. DOI: 10.5964/SPB.V13I1.25498.

29. Tafet GE, Ortiz Alonso T. Learned helplessness and learned controllability: From neurobiology to cognitive, emotional and behavioral neurosciences. Front Psychiatry. 2025; 16: 1600165. DOI: 10.3389/FPSYT.2025.1600165.

30. Machado S, Coelho DB, Englert C, et al. Shared Demands Between Cognitive and Physical Tasks May Drive Negative Effects of Fatigue: A Focused Review. Front Sports Act Living. 2019; 1: 45. DOI: 10.3389/FSPOR.2019.00045.

31. Jin MJ, Kim JS, Lee HS, et al. The Impact of Emotional Exhaustion on Psychological Factors in Workers with Secondary Traumatic Experiences: A Multi-Group Path Analysis. Psychiatry Investig. 2020; 17 (11): 1064–1072. DOI: 10.30773/PI.2019.0313.

32. Boone WJ. Rasch Analysis for Instrument Development: Why, When, and How? CBE Life Sci Educ. 2016; 15 (4): rm4. DOI: 10.1187/CBE.16-04-0148.

33. Sürücü L, YIKILMAZ İ, MASLAKÇI A. Exploratory Factor Analysis (EFA) in Quantitative Researches and Practical Considerations. OSF Preprints. 2024; 13 (2): 947–965. DOI: 10.31219/OSF.IO/FGD4E.

34. Tsai SF, Wu CL, Ho YY, et al. Medical malpractice in hospitals-how healthcare staff feel. Front Public Health. 2023; 11: 1080525. DOI: 10.3389/FPUBH.2023.1080525.

35. AlBalushi AA, Al-Asmi A, Al-Shekaili W, et al. Medical malpractice in Oman: A 12-year retrospective record review. PLoS One. 2023; 18 (8): e0290349. DOI: 10.1371/JOURNAL.PONE.0290349.

36. Roslan NS, Yusoff MSB, Asrenee AR, et al. Burnout Prevalence and Its Associated Factors among Malaysian Healthcare Workers during COVID-19 Pandemic: An Embedded Mixed-Method Study. Healthcare. 2021; 9 (1): 90. DOI: 10.3390/HEALTHCARE9010090.

37. Razu SR, Yasmin T, Arif TB, et al. Challenges Faced by Healthcare Professionals During the COVID-19 Pandemic: A Qualitative Inquiry From Bangladesh. Front Public Health. 2021; 9: 647315. DOI: 10.3389/FPUBH.2021.647315.

38. Maslach C, Jackson SE. The Measurement of Experienced Burnout Maslach Burnout. J Org Behav. 1981; 2 (2): 99–113. DOI: 10.1002/job.4030020205.

39. Huang TW, Wu PC, Mok MMC. Examination of Gender-Related Differential Item Functioning Through Poly-BW Indices. Front Psychol. 2022; 13: 821459. DOI: 10.3389/FPSYG.2022.821459.

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