CIHE is tasked with promoting and conducting health disparities and health equity research. To do so, it has prioritized the following aims:

1. Promote data disaggregation and data analytics using secondary data analyses and the use of big data to explore inequalities in health outcomes and the causes and pathways associated with inequalities.
2. Promote research that encompasses the continuum of research activities, from basic through applied research, including but not limited to health services research, population-health, and intervention sciences to improve the health of priority populations and/or reduce health disparities.
3. Promote the understanding of the causes of health disparities related to structural inequalities to reduce or eliminate health differences to inform decision-makers and impact policy change.
4. Develop approaches to reduce the gap between science and practice by promoting the dissemination of evidence-based interventions into communities experiencing health disparities as well as translating research findings into diverse types of formats and audiences.

Ongoing Projects:

1. Bronx County Health Outcomes and Social Determinants Data Review
   PIs: Maria Isabel Roldos, John Orazem, Talita Fortunato Tavares
   In this project we seek to identify and characterize the health disparities of the Bronx in comparison to other NYC boroughs by exploring data from the County Health Rankings & Roadmaps project. Through data disaggregation and statistical methods, we will characterize the county’s health burden and the influence of socio-economic context on racial and ethnic minorities, age-adjusted premature mortality, and in Years of Potential Life Loss (YPLL). The unit of analyses for this research is at the county level.

1. Advancing the Science of Health Disparities and Policy Decision Making via Data Analytics
   This is a CIHE-wide initiative to promote secondary data analyses of publicly available data sources. It is widely believed that health disparities are the outcome of multiple causes operating at multiple levels in multiple domains that play out over a long period of time. Therefore, we encourage the use of multiple data sources and a social determinants of health research approach.
   We will promote the development of research protocols, provide peer-review input, and innovative data analytics to characterize the health and well-being of priority populations and identify health disparities and its causes.