Social Determinants of Health Shared Resource (SHARE)

graphic that says SDOH social determinants of health with icons for a house, car, dollar sign and heart with a heart beat line through the middle

Social determinants of health (SDOH) are conditions in the places where people live, learn, work, and play that broadly affect health and quality of life outcomes. Data on social determinants can be used by health care systems to increase understanding about the populations and communities they serve.

The mission of the Social Determinants of Health Shared Resource (SHARE) is to execute and maintain a multi-level infrastructure for integrating specialized and patient-reported SDOH data with existing data sources to develop and support new translational research and clinical care at MUSC Hollings Cancer Center.

SHARE Services

  • Provide consultation services for users to obtain customized SDOH-related research data sets and analyses for various needs including obtaining preliminary data and secondary analyses for research proposals and publications.
  • Guidance on integrating SDOH data with EHR, biospecimen, and other data types.
  • Guidance on feasibility determination and enabled access to a full research dataset with appropriate oversight and governance of data release, by working with dedicated SHARE data analysts (serving as honest broker).
  • Collect routine patient-reported SDOH data to enrich SDOH data acquired through the electronic health record to better understand how multi-level factors (i.e., socioenvironmental, economic, perceived behavioral) are important to disease risk and health care outcomes.
  • Provide additional/specialized SDOH data that is not being acquired through the standardized assessment tool.
  • Provide specialized geographic analyses (i.e., mapping spatial distributions, proximity analysis).
  • Spatial linkage to contextual data (i.e., population demographics, social vulnerability and area deprivation).
  • Assess geographic determinants related to health care and health outcomes (e.g., neighborhood SDOH).
  • Expand SDOH domain variables by applying advanced text extraction approaches, including well established NLP pipelines to extract specific terms, and deep learning (artificial intelligence) methods, which allow researchers to access SDOH data present in unstructured clinical notes.
  • A brief discussion to better determine the user's needs and how they align with SHARE services for developing a broader project.

Meet the team

Dr. Jihad Obeid 

Jihad Obeid, M.D.

Director

Dr. Melanie Jefferson 

Melanie Jefferson, Ph.D., MPH

Associate Director

Dr. Paul Heider 

Paul Heider, Ph.D.

Natural Language
Processing Expert

Dr. John Pearce 

John Pearce, Ph.D.

Environmental Health
Geographer

Consult with us

If you are interested in using our services for your research or other project, please submit a request at the link below.