Assessing the Role of Health Policy in Reducing Health Inequalities: Utilizing Behavioral Economics Techniques for Policy Design and Evaluation

Abstract

Disparities in health care are a major barrier to socio-economic development worldwide. Reducing these disparities is a central task of health care. This paper explores the feasibility of designing and measuring health policy that seeks to reduce health disparities using behavioral economics methods. This paper proposed, Multilevel Interventions with Evidence-Based Mental Health Strategy (MIE-MHA) is a flexible approach according to the findings. To better approach mental health disparities, this approach incorporates behavioral insights into targeted policy initiatives across socioeconomic levels The advantages of this paper stem from the understanding and use of human behavioral models to deliver equitable and effective health care delivery, which must be met Another challenge is the need for rigorous evaluation methods to evaluate the impact of policies. The application of MIE-MHA has been demonstrated in various healthcare settings using simulation studies. With the help of this research, policymakers working to reduce health disparities can gain insight into the potential success of these interventions in real-world settings with a helpful tool. Through the consideration of both the design and evaluation phases, this study makes a contribution to the formulation of health policies that are both more effective and more equitable.