Addressing Health Disparities in Public Health Through the Application of Data Science Software in the Last 5 Years: A Preferred Reporting Items for Structured Review and Meta-Analyses Structured Review.

Abstract

The application of data science resources can enhance our ability to reduce health disparities affecting communities across the country. In this paper, we use the Preferred Reporting Items for Structured Review and Meta-Analyses methodology to conduct a thematic analysis of selected studies and identify micro and macro themes within the literature. The authors of this analysis reviewed articles that included data science software applications and their role in focusing efforts to address health disparities affecting the health of citizens in specific communities across the country. Abstracts were reviewed for research relevance after duplicates were removed, and documents were eliminated from consideration during the screening based on the exclusion criteria. At the conclusion of the structured literature review, the results emphasized the strong utility of geographically directed assessment. This highlights the need for the integration of geo- and statistical methodologies in the use of data science software for healthcare applications, which can be a useful means to identify locations where health disparities are present and can focus efforts to resolve these health disparities. Nurses, physicians, and health educators can be dispatched to the geographical areas where health disparities are most prevalent.