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Burnout in Global Healthcare Systems

Arpit JainKoneru Lakshmaiah Education Foundation, IndiaAbhishek SinghGL Bajaj Institute of Technology and Management, IndiaMyasar Mohammed Al-FarouniThe Islamic University, IraqZarifa MamadievaTermez University of Economics and Service, UzbekistanTogonova ShoxidaUrgench State Pedagogical Institute, UzbekistanUrazbaeva Yulduz
2026ng

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ABI

Annotatsiya

The given research article examines this important question which influences the result of health based on the psycho-social determinants and develops a system of behavioral optimization. It highlights how psychological, which are stress, resilience, and self-efficacy, and social determinants, including socioeconomic status, social support, and environmental conditions interact. It presents an innovative approach to single-phase methodology with standardized data normalization, composite psychosocial indexing, temporal simulation, and multi-level modeling techniques to overcome the limitations of current methods. The model uses both simulated and subjective information on behavior to increase the accuracy of predictions and bias minimization. When comparing the methods with traditional methods, the analysis reveals a better performance in the form of predictive accuracy, robustness of behavior changes as well as sustainability in behavior change.

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