Study on the impact of the DRG model on human resource allocation at public hospitals

Jianhua Cheng, Ye Zhao

Article ID: 8172
Vol 8, Issue 14, 2024

VIEWS - 5 (Abstract) 3 (PDF)

Abstract


Diagnosis-related groups (DRGs) are gaining prominence in healthcare systems worldwide to standardize potential payments to hospitals. This study, conducted across public hospitals, investigates the impact of DRG implementation on human resource allocation and management practices. The research findings reveal significant changes in job roles and skill requirements based on a mixed-methods approach involving 70 healthcare professionals across various roles. 50% of respondents reported changes in daily responsibilities, and 42% noted the creation of new roles in their organizations. Significant challenges include inadequate training (46%), and coding complexity (38%). Factor analysis revealed a complex relationship between DRG familiarity, job satisfaction, and staff morale. The study also found a moderate negative correlation between the impact on morale and years of service in the current hospital, suggesting that longer-tenured staff may require additional support in adapting to DRG systems. This study addresses a knowledge gap in the human resource aspects of DRG implementation. It provides healthcare administrators and policymakers with evidence to inform strategies for effective DRG adoption and workforce management in public hospitals.


Keywords


diagnosis-related groups (DRGs); human resource management; skill requirements; job roles; training; job satisfaction; workforce planning; healthcare administration

Full Text:

PDF


References


Annear, P. L., Kwon, S., Lorenzoni, L., et al. (2018). Pathways to DRG-based hospital payment systems in Japan, Korea, and Thailand. Health Policy, 122(7), 707-713.

Bredenkamp, C., Bales, S., & Kahur, K. (2019). Transition to diagnosis-related group (DRG) payments for health: Lessons from case studies. World Bank Publications.

Calderón, V. G., Huante, I. A. F., Martínez, M. C., et al. (2019). The impact of improving the coding quality in the utilities of Diagnosis Related Groups system in a private healthcare institution. 14-year experience. International journal of medical informatics, 129, 248-252.

Dong, F. (2020). Application of the DRGs and the Fuzzy Demand in the Medical Service Resource Allocation Based on the Data Mining Algorithm. Intelligent Automation & Soft Computing, 26(3).

Fahlevi, H., Irsyadillah, I., Indriani, M., et al. (2022). DRG-based payment system and management accounting changes in an Indonesian public hospital: exploring potential roles of big data analytics. Journal of Accounting & Organizational Change, 18(2), 325-345.

Feng, L., Tian, Y., He, M., et al. (2020). Impact of DRGs based inpatient service management on the performance of regional inpatient services in Shanghai, China: an interrupted time series study, 2013–2019. BMC Health Services Research, 20, 1-9.

Gluckman, T. J., Spinelli, K. J., Wang, M., et al. (2020). Trends in diagnosis related groups for inpatient admissions and associated changes in payment from 2012 to 2016. JAMA Network Open, 3(12), e2028470-e2028470.

Graban, M. (2018). Lean hospitals: improving quality, patient safety, and employee engagement. Productivity Press.

Healthcare Service Provision. Sheffield Hallam University.

Jiang, G., & Peng, Q. (2019). Medical payment series: The rise of the DRG payment model. Milliman White Paper, 1-8.

Ma, Y., & Wang, W. (2021). The impact of diagnosis related group payment on the performance of public hospitals. American journal of translational research, 13(6), 6796.

Olsen, J. A. (2017). Principles in health economics and policy. Oxford University Press.

Partridge, R. A. (2018). The Value of a Research Through Design approach to explore

Persson, M. H., Mogensen, C. B., Søndergaard, J., et al. (2021). Healthcare professionals’ practice and interactions in older peoples’ cross-sectoral clinical care trajectories when acutely hospitalized-a qualitative observation study. BMC health services research, 21, 1-18.

Singh, N., Bamel, U., & Vohra, V. (2021). The mediating effect of meaningful work between human resource practices and innovative work behavior: a study of emerging market. Employee Relations: The International Journal, 43(2), 459-478.

Trost, A. (2020). Human resources strategies. Cham: Springer International Publishing.

Wager, K. A., Lee, F. W., & Glaser, J. P. (2021). Health care information systems: a practical approach for health care management. John Wiley & Sons.

Wang, Y., & Hajli, N. (2017). Exploring the path to big data analytics success in healthcare. Journal of Business Research, 70, 287-299.




DOI: https://doi.org/10.24294/jipd8172

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Jianhua Cheng, Ye Zhao

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.