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June 12, 2026Health Affairs ScholarOpen Access

Using Prescription Drug Data for Timely Assessments of State Insurance Coverage Rates: A Validation Study

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Authors

BRBenjamin N. RomeAMAdrianna McIntyreJKJinwoo Kim

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Overview

Validation study demonstrates prescription data's potential to predict state insurance coverage changes, suggesting new assessment methods.

Key Points

  • This research aims to evaluate real-time prescription data as a reliable indicator of state insurance coverage rates.
  • Analyzed correlations between insurance coverage types and filled prescriptions per capita from 2013-2024.
  • Utilized regression models to assess the predictive power of prescription counts on state-level coverage changes.
  • Medicaid prescriptions were strongly correlated with Medicaid coverage (⍴=0.62).
  • Cash-pay prescriptions showed moderate correlation with uninsured rates (⍴=0.49).
  • A 10% increase in Medicaid prescriptions predicted a 7.5% increase in Medicaid coverage among adults.

Cite This Study

Rome et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba2f68101cf8926f01d01https://doi.org/10.1093/haschl/qxag149
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