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Implementation of Intrahospital Transfer Strategy During COVID-19 and Identification of Success Factors Based on
Bahareh Ahmadinejad1, Alireza Jalali, Fatemeh Bahramian
1Author Affiliations: Sport Medicine and Knee Research Center, Milad Hospital, Tehran, Iran (Ms Ahmadinejad); Health Systems Engineering Research Center, Milad Hospital, Tehran, Iran (Ms Ahmadinejad and Dr Jalali); Griffith Centre of Biomedical and Rehabilitation Engineering, School of Allied Health Sciences, Griffith University, Gold Coast, Queensland, Australia (Ms Bahramian); Department of Industrial Engineering, Faculty of Engineering, University of Qom, Qom, Iran (Mr Shabani); and Department of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran (Mr Sherafati).
Background And Objectives:
The COVID-19 pandemic caused a significant strain on world health care systems. The lack of trained and experienced staff was a complicated issue during the pandemic. To overcome insufficient staffing problems, the intrahospital transfer (IHT) strategy was implemented at Milad Hospital in Tehran during COVID-19. We evaluated the effectiveness of the IHT strategy in order to determine whether the strategy should be continued post-COVID.
Methods:
Six supervisors with experience in COVID-19 wards and the IHT strategy were consulted to identify the advantages of continuing the IHT strategy and to evaluate the success and continuation of IHT factors. Then, the decision-making trial and evaluation laboratory (DEMATEL) method was used to establish a network of influence relationships among IHT strategy factors' success.
Results:
The result showed that all criteria except increasing patient satisfaction (C1) and reducing waste of time (C8) are cause-and-effect criteria that affected other criteria.
Conclusion:
The research findings have implications for improving the day-to-day experience of staff navigating transfers of patients between wards and paraclinic units. This study also highlights the theoretical value of the cross-disciplinary integration of medical decision issues and multiple-attribute decision-making methodologies.
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