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Objective: During the COVID-19 outbreak, the medical sector services to the public were reportedly not appropriate. Due to the novelty of the disease, the patients were not aware of the right treatment and what health facilities were required. Method: The current research is designed to determine the relationship between prognosis markers and patient health behavior in treatment of COVID-19 patients in Turkey. The sample was identified through cluster sampling method. A smart PLS statistical tool was utilized for structural equation model findings. Result: The findings show that patient treatment performance can be improved with adequate treatment strategies, patient health behavior, prognosis markers and performance status. This research is significant by its nature because it adopted a novel research model which established new relationships between the variables of the study. Practically, this research deliberated the importance of prognosis markers, patient health behavior, adequate treatment strategies, and performance status on patient treatment performance. Conclusion: This research faced several limitations that are reported in the end with the future directions for scholars to contribute further to the knowledge of patients' treatment performance. |
