While the value of social determinants of health is becoming clearer, defining what data provides insight and how to use it is far less so. Working alongside our data scientists here at LexisNexis®, we’ve identified some critical truths and myths regarding what socioeconomic data is and isn’t and how you can tell the difference.

  1. Myth or Truth? Socioeconomic data is more noise in a world where we’re already drowning in information.
  2. Myth or Truth? All data regarding a person’s lifestyle, environment and behaviors relate to their social determinants of health.
  3. Myth or Truth?  Examining only individual socioeconomic attributes about a person will allow you to make accurate predictions about a member’s overall health risk.
  4. Myth or Truth? You must conduct surveys or use demographic data to get socioeconomic data.
  5. Myth or Truth? Aggregated data at the zip code or census level can be used to personalize care for a member.
  6. Myth or Truth? Socioeconomic data is only useful when combined with clinical data.

Once the myths are carefully reviewed and discarded, the conclusion becomes obvious: socioeconomic data is a vital force for healthcare risk prediction. Social determinants of health data can be very powerful in the absence of medical data to more comprehensively understand a member’s risk level. Of all the data out there, LexisNexis® data offers the capability of deciphering what is truly relevant from a clinical perspective.

We’ve only just begun to explore the possibilities. Dispose of the myths and learn the truth by downloading our white paper, “Six myths about social determinants of health data that payers shouldn’t believe.