Michael Paap

Graduate Trainee, University of California, San Diego

1 active project

Research Program for Vision Surveillance: Diabetes and Diabetic Retinopathy

How do data from the All of Us database compare against known data sources that are considered to be representative of the general population and have been traditionally used in vision health surveillance activities (such as NHANES, NHIS, etc.)? How…

Scientific Questions Being Studied

How do data from the All of Us database compare against known data sources that are considered to be representative of the general population and have been traditionally used in vision health surveillance activities (such as NHANES, NHIS, etc.)? How does All of Us compare to existing big-data sources such as IQVIA?

There is increasing interest in understanding how social factors impact health and vision outcomes. Social determinants of health are important considerations for disease management and prognosis, and our representative use case (diabetes and diabetic retinopathy) has huge implications for our health system as the leading cause of blindness and visual impairment among working-age adults in the United States. By answering the above questions, we can determine whether the All of Us database is representative and may be broadly generalizable for future studies.

Project Purpose(s)

  • Control Set

Scientific Approaches

- Develop standard cohort definition for diabetes
- Develop standard cohort definition for diabetic retinopathy
- Determine prevalence of diabetes and compare across different data sources – All of Us, NHANES, NHIS, IQVIA
o Numerator: Number of adults with diabetes
o Denominator: Total number of adults available in data source
- Determine prevalence of diabetic retinopathy and compare across different data sources – All of Us, NHANES, NHIS, IQVIA
o Numerator: Number of adults with diabetic retinopathy
o Denominator: Total number of adults available in data source vs. total number of adults with diabetes
- For prevalence calculations, will need to establish defined study periods and ensure consistency across data sources
- Potential analyses:
o Look at state/regional variations
o Examine demographics (age, gender, race, ethnicity) of cohorts across data sources
- Identify areas of similarity/alignment vs. differences

Anticipated Findings

If we are able to demonstrate that the All of Us database is representative and aligns with existing nationwide data sources, then findings regarding links between social determinants and vision health outcomes using All of Us would be felt to be more broadly generalizable. On the other hand, if there are major discrepancies between All of Us and previously established data sources, this would be important information for the vision research community to be aware of, and this could even inform future efforts to make the database more representative.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Geography
  • Access to Care

Research Team

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