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     2026:7/1

Journal of Frontiers in Multidisciplinary Research

ISSN: 3050-9718 (Print) | 3050-9726 (Online) | Impact Factor: 8.10 | Open Access

Framework for Using Behavioral Science and Public Health Data to Address Healthcare Inequality and Vaccine Hesitancy

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Abstract

This paper presents a conceptual framework for integrating behavioral science into public health interventions to reduce healthcare inequality and address vaccine hesitancy. Healthcare inequality persists as a significant barrier to equitable health outcomes, disproportionately affecting underserved populations. Vaccine hesitancy, driven by sociocultural, economic, and psychological factors, further exacerbates these disparities. Behavioral science offers valuable insights into how health behaviors are shaped and how targeted interventions can influence public attitudes. By leveraging public health data, this framework outlines how to design and implement effective strategies to improve healthcare access and increase vaccine uptake, particularly among marginalized groups. The paper explores various behavioral theories and evidence-based interventions that can be applied to public health campaigns, emphasizing the importance of culturally sensitive messaging, strategic healthcare access improvements, and stakeholder collaboration. Finally, it discusses methods for evaluating the effectiveness of these interventions and proposes long-term strategies to sustain improvements in healthcare equity. The paper concludes by identifying future research directions to enhance the integration of behavioral science and public health data in addressing healthcare disparities.

How to Cite This Article

Ernest Chinonso Chianumba, Nura Ikhalea, Ashiata Yetunde Mustapha, Adelaide Yeboah Forkuo, Damilola Osamika (2023). Framework for Using Behavioral Science and Public Health Data to Address Healthcare Inequality and Vaccine Hesitancy . Journal of Frontiers in Multidisciplinary Research (JFMR), 4(1), 183-187. DOI: https://doi.org/10.54660/.IJFMR.2023.4.1.183-187

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