Occupational Strain and Care Quality: A Cross-Sectional Analysis of Workload, Overtime, and Work–Life Balance among Dialysis Nurses in Samar Island

Authors

Karen P. Salanguste

University of Perpetual Help System – DALTA, Alabang–Zapote Rd, Las Piñas, 1740 Metro Manila (Philippines)

Dr. Jon-Jon T. Martinez

Taif University, Al Mutamarat Rd, Al Mathnah, At Taif, 26521 (Saudi Arabia)

Article Information

DOI: 10.51584/IJRIAS.2026.11060042

Subject Category: Nursing Education

Volume/Issue: 11/6 | Page No: 429-443

Publication Timeline

Submitted: 2026-05-21

Accepted: 2026-05-26

Published: 2026-06-20

Abstract

This study examined the relationship among workload, overtime hours, work–life balance, occupational strain, and perceived quality of care among dialysis nurses in Samar Island. Anchored on the Job Demand–Resources (JD-R) Model, the study aimed to determine the demographic profile of the respondents, assess the levels of the major study variables, examine significant relationships among selected variables, identify predictors of occupational strain, and determine whether occupational strain significantly predicted perceived quality of care. A quantitative, non-experimental, cross-sectional correlational research design was employed. Data were gathered from 75 dialysis nurses working in dialysis hospitals, centers, and clinics in Samar Island using a structured self-developed questionnaire. Descriptive statistics such as frequency, percentage, mean, and standard deviation were used to describe the respondents’ profile and the levels of the variables. Pearson product-moment correlation and regression analysis were utilized to determine significant relationships and predictive influence among variables. The findings revealed that the respondents were predominantly 31–40 years old, female, married, had 2 to 5 years of dialysis experience, held a Bachelor of Science in Nursing degree, were regular employees, and were assigned in hospital-based dialysis units. The respondents generally agreed that they experienced workload, overtime hours, occupational strain, and perceived quality of care, while work–life balance was rated moderate. Significant positive relationships were found between workload and occupational strain, and between overtime hours and occupational strain. In contrast, work–life balance showed a significant negative relationship with occupational strain, indicating that better balance was associated with lower levels of strain. Regression analysis further revealed that workload, overtime hours, and work–life balance significantly predicted occupational strain, with work–life balance emerging as the strongest predictor. Occupational strain also significantly predicted perceived quality of care, suggesting that higher levels of strain were associated with lower perceived care quality among dialysis nurses. Based on the findings, an Occupational Strain Reduction and Care Quality Enhancement Program was proposed to support nurse well-being and improve care delivery. The study concluded that dialysis nurses in Samar Island work under demanding conditions, and that strengthening work–life balance while reducing excessive workload and overtime may help lessen occupational strain and support quality nursing care.

Keywords

workload, overtime hours, work–life balance, occupational strain

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References

1. Al-Sawad, A. A., Dardas, H. A., Al-Shawaf, L. H., Shammari, M. A., Emshamea, R. S., Al-Barbari, E. A., & Al-Hariri, M. (2026). Links between staffing and resource inadequacy and missed nursing care in an academic medical center (Eastern Province, Saudi Arabia): A cross-sectional study. Nursing Reports, 16(2), 69. https://doi.org/10.3390/nursrep16020069 [Google Scholar] [Crossref]

2. Bakker, A. B., & Demerouti, E. (2007). The Job Demands–Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115 [Google Scholar] [Crossref]

3. Bhandari, P. (2021). Correlational research: When and how to use it. Scribbr. https://www.scribbr.com/methodology/correlational-research/ [Google Scholar] [Crossref]

4. Butao, B. C., Cañete, A. M. C., & Quijada, M. T. A. (2021). Impact of burnout among dialysis nurses providing high-quality care in Butuan City, Philippines. Orapuh Journal, 2(1), e711. [Google Scholar] [Crossref]

5. Capili, B. (2021). Cross-sectional studies. American Journal of Nursing, 121(10), 59–62. https://doi.org/10.1097/01.NAJ.0000794280.73744.fe [Google Scholar] [Crossref]

6. Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The Job Demands–Resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499 [Google Scholar] [Crossref]

7. Li, L. Z., Yang, P., Singer, S. J., Pfeffer, J., Mathur, M. B., & Shanafelt, T. (2024). Nurse burnout and patient safety, satisfaction, and quality of care: A systematic review and meta-analysis. JAMA Network Open, 7(11), e2443059. https://doi.org/10.1001/jamanetworkopen.2024.43059 [Google Scholar] [Crossref]

8. Mauliddiyah, D., & Widyastuti, W. (2025). The relationship between work-life balance and workload with burnout in nurses. Proceeding of International Conference on Social Science and Humanity, 2(3), 630–641. https://doi.org/10.61796/icossh.v2i3.97 [Google Scholar] [Crossref]

9. Polit, D. F., & Beck, C. T. (2021). Nursing research: Generating and assessing evidence for nursing practice (11th ed.). Wolters Kluwer. [Google Scholar] [Crossref]

10. Seragon, F. M. C., & Cruz, D. H. M. (2025). Work-life balance, work performance and quality of care among staff nurses in Catarman Doctors Hospital. International Journal of Research and Innovation in Applied Science, 10(8), 1898–1907. https://doi.org/10.51584/IJRIAS.2025.100800166 [Google Scholar] [Crossref]

11. Simkus, J. (2023). Cross-sectional study: Definition, uses and examples. Simply Psychology. https://www.simplypsychology.org/cross-sectional-study.html [Google Scholar] [Crossref]

12. Taherdoost, H. (2022). Sampling methods in research methodology: How to choose a sampling technique for research. International Journal of Academic Research in Management, 5(2), 18–27. [Google Scholar] [Crossref]

13. U.S. Department of Health and Human Services. (2018). The Belmont Report: Ethical principles and guidelines for the protection of human subjects of research. Office for Human Research Protections. https://www.hhs.gov/ohrp/regulations-and-policy/belmont-report/ [Google Scholar] [Crossref]

14. World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053 [Google Scholar] [Crossref]

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