PENGARUH NURSE BURNOUT TERHADAP QUALITY OF PATIENT CARE DAN KEJADIAN ADVERSE EVENTS YANG DIMEDIASI OLEH WORK ENGAGEMENT (STUDI PADA TIGA RUMAH SAKIT SWASTA)
DOI:
https://doi.org/10.35794/jmbi.v11i3.59165Abstract
Burnout is a condition of exhaustion that includes physical, emotional, and mental aspects due to prolonged stress in the nursing profession. High workload, significant emotional distress, and lack of institutional support can trigger this condition. Study aims to evaluate the effect of nurse burnout on the quality of patient care and adverse events in a hospital, by considering the role of work engagement as a mediator. Background of this study is based on the increase in patient safety incidents as well as the high turnover rate of nurses over the period 2022 to 2024, which reflects significant challenges in the healthcare system and its potential impact on quality of care. A quantitative approach with a cross-sectional research design and sample data in this study was taken using non-probability sampling method, by purposive sampling obtained from nurses in three private hospitals using a questionnaire. There were 282 eligible samples and analyzed with PLS-SEM. Results show the model explained 21.6% of the variation in adverse event occurrence (R² = 0.216), 39.3% of quality of patient care (R² = 0.393), and 2.6% of work engagement (R² = 0.026). A moderate predictive ability was found for adverse events (Q² = 0.168), while quality of patient care (Q² = 0.022) and work engagement (Q² = 0.016) were moderately predictive. CVPAT of this study shows that the PLS-SEM model has better predictive ability compared to the indicator average (IA) and linear model (LM) (negative ALD value and p-value ≤ 0.05) which indicates adequate predictive ability.
References
Aiken, L. H., Clarke, S. P., & Sloane, D. M. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987–1993.
Bakker, A. B., & Demerouti, E. (2008). Towards a model of work engagement. Career Development International, 13(3), 209–223.
Bakker, A. B., & Albrecht, S. (2018). "Work engagement: Current trends." Career Development International, 23(1), 4–11. https://doi.org/10.1108/CDI-11-2017-0207
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2023). Job demands-resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10, 25–53. https://doi.org/10.1146/annurev-orgpsych-012820-115321
Denning, M., Goh, E. T., Tan, B., Kanneganti, A., Almonte, M., Scott, A., & et al. (2021). Determinants of burnout and other aspects of psychological well-being in healthcare workers during the COVID-19 pandemic: A multinational cross-sectional study. PLoS ONE, 16(4), e0238666. https://doi.org/10.1371/journal.pone.0238666
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743–1748.
Garcia, C. L., Abreu, L. C. D., Ramos, J. L. S., Castro, C. P. D. R., Smiderle, F. R. N., Santos, J. A. D., & Bezerra, I. M. P. (2019). Influence of burnout on patient safety: Systematic review and meta-analysis. Medicina, 55(5), 553. https://doi.org/10.3390/medicina55050153
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (8th ed.). Cengage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Henseler, J. (2021). Composite-based structural equation modeling: Analyzing latent and emergent variables. Guilford Press. https://doi.org/10.58784/9781462545605
Kakemam, E., Chegini, Z., Rouhi, A., Ahmadi, F., & Majidi, S. (2021). Burnout and its relationship to self-reported quality of patient care and adverse events during COVID-19: A cross-sectional online survey among nurses. Journal of Nursing Management, 29(8), 1974–1982. https://doi.org/10.1111/jonm.13359
Kementerian Kesehatan Republik Indonesia. (2020). Panduan Akreditasi Rumah Sakit. https://mutu.fasyankes.kemkes.go.id
Kementerian Kesehatan Republik Indonesia. (2022). Peraturan Menteri Kesehatan Republik Indonesia Nomor 30 Tahun 2022 tentang Pelaporan Insiden Keselamatan Pasien (IKP). https://peraturan.go.id
Kementerian Kesehatan Republik Indonesia. (2024). Mutu Fasyankes: Sistem Informasi Mutu Fasilitas Pelayanan Kesehatan. https://mutu.fasyankes.kemkes.go.id
Kristiana, I. F., Fajrianthi, & Purwono, U. (2018). Analisis Rasch dalam Utrecht Work Engagement Scale-9 (UWES-9) versi bahasa Indonesia. Jurnal Psikologi, 17(2), 204-217.
Kwon, K., & Kim, T. (2019). An integrative literature review of employee engagement and innovative behavior: Revisiting the JD-R model. Human Resource Management Review, 29(4), 100704. https://doi.org/10.1016/j.hrmr.2019.100704
Liengaard, B., Brodersen, J., & Gierisch, J. M. (2021). Patient perspectives on diagnostic information and healthcare decision-making: A qualitative study. Health Expectations, 24(3), 865-874.
Mahmoudi, S., Atashzadeh-Shoorideh, F., Rassouli, M., & Majd, H. A. (2020). Relationship between ethical climate in the organization and nurses' burnout and job satisfaction. Nursing Ethics, 27(6), 1408-1419.
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
McKinsey & Company. (2020). The future of work in healthcare: Redesigning healthcare for better outcomes. McKinsey & Company. https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-future-of-work-in-healthcare.
Pitoy, R. R., Saerang, I. S., & Tulung, J. E. (2022). Reaksi Pasar Modal Terhadap Disahkannya RUU Cipta Kerja Menjadi Undang-Undang Pada Emiten Perbankan. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi)., 9(1)
Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886. https://doi.org/10.1108/IMDS-10-2015-0449
Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2022). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Springer.
Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J. M., & Ringle, C. M. (2023). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer.
Salanova, M., Schaufeli, W. B., Xanthopoulou, D., & Bakker, A. B. (2005). Job resources predict burnout and engagement, and vice versa. Journal of Vocational Behavior, 67(2), 233-247.
Salanova, M., Agut, S., & Peiró, J. M. (2010). Linking organizational resources and work engagement to employee performance and customer loyalty: The mediation of service climate. Journal of Applied Psychology, 90(6), 1217–1227.
Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.1002/job.248
Shmueli, G., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2019). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 104, 389-404.
Sharma, P. N., Liengaard, B. D., Hair, J. F., Sarstedt, M., & Ringle, C. M. (2023). Predictive model assessment and selection in composite-based modeling using PLS-SEM: Extensions and guidelines for using CVPAT. European Journal of Marketing, 57(6), 1662–1677. https://doi.org/10.1108/EJM-08-2020-0636
Shuck, B., Rocco, T. S., & Albornoz, C. A. (2017). Human resource development and employee engagement. In N. E. Chalofsky, T. S. Rocco, & M. L. Morris (Eds.), Handbook of human resource development (pp. 261–280). John Wiley & Sons.
Sila, I. K., & Martini, I. A. (2020). Transformation and revitalization of service quality in the digital era of revolutionary disruption 4.0. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi)., 7(1).
Wei, H., Horsley, L., Cao, Y., Haddad, L. M., Hall, K. C., Robinson, R., Powers, M., & Anderson, D. G. (2023). The associations among nurse work engagement, job satisfaction, quality of care, and intent to leave: A national survey in the United States. International Journal of Nursing Sciences, 10, 476–484. https://doi.org/10.1016/j.ijnss.2023.09.010
Widhianingtanti, L. T., & van Luijtelaar, G. (2022). The Maslach-Trisni Burnout Inventory: Adaptation for Indonesia. JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia), 11(1), 1-21. https://doi.org/10.15408/jp3i.v11i1.24400
World Health Organization. (2024). Global patient safety report 2024. World Health Organization. https://www.who.int/publications
World Health Organization. (2006). Quality of care: A process for making strategic choices in health systems. World Health Organization. https://apps.who.int/iris/handle/10665/43470
World Health Organization. (2020). Global patient safety action plan 2021–2030. World Health Organization. https://www.who.int/publications/i/item/9789240032705