Data quality and social determinants of health: Methods for health equity research Public Deposited

Interest among clinicians and researchers in social determinants of health has increased in recent years, driven by a recognition of its role as a major contributor to health outcomes and by interest in improving health equity. However, little is known about the quality of social determinants of health data sourced from real-world data sources such as the electronic health record. Garbage In, Garbage Out, or GIGO, has long been a tenet of information science. This cautionary adage has been used since the 1950s to warn data users that poor quality data leads to correspondingly poor-quality results. Without attention to the quality of social determinants of health data, therefore, it cannot be guaranteed that any analysis performed with it is providing valid or useful insights. The overall objective of this work is to improve the quality of the social determinants of health data used in health equity research. Better data quality will increase the reliability and validity of the resulting research product – a necessary step towards understanding how to improve the health of both individuals and the population.

  • Cook.Lily.2022.pdf
Publication Date
  • 2022
Document type