Pragya Singh

Pragya Singh

Senior Researcher

Pragya Singh is a health researcher with expertise in program evaluation and causal inference. Her research work focuses on primary care redesign, payment and delivery system reforms, population health, and disability policy.

Since joining Mathematica in 2016, Singh has worked on a range of projects focused on primary care redesign and evaluation of payment and delivery system reforms. Singh has played a critical role in designing and implementing the evaluation of the Comprehensive Primary Care Plus (CPC+) initiative, which is the largest and most ambitious primary care payment and delivery reform effort tested to date in the US. She provides leadership on all components of the evaluation of CPC+ and leads the team responsible for analyzing and reporting the effects of CPC+ on claims-based patient outcomes. Prior to CPC+, Singh led the analysis to assess the impact of CPC on patient outcomes. CPC was a four-year multi-payer initiative (and the predecessor program to CPC+) designed to strengthen primary care.

Singh is also directing a project aimed at increasing the evidence-base for effectiveness of a health IT tool that allows primary care providers to seek specialist input for their patients electronically in reducing costs and utilization and improving quality of care.

Her research in the disability area has focused on evaluation of proposals to reform the disability insurance program and the role of Supplemental Security Income (SSI) program in serving children in low-income families.

She is also experienced in producing quality measures for performance assessment in value-based purchasing programs. She led the production of the 30-day All Cause Readmission measure for the Value-Based Payment Modifier program and the independent verification and validation of the Merit-Based Incentive Payment System production contractor’s calculations for this measure.

Singh’s work has been published in peer-reviewed journals including Health Affairs, Annals of Family Medicine, Journal of General Internal Medicine, Journal of Disability Policy Studies, and the Social Security Bulletin. She has also presented her research at conferences organized by Academy Health, American Society of Health Economists, and the Southern Economic Association. Before joining Mathematica, Singh held positions at the University of North Carolina at Chapel Hill and the Indian Statistical Institute. She has a Ph.D. in economics from the University of North Carolina at Chapel Hill.

  • Program and policy evaluation
  • Quasi-experimental research designs
  • Causal Inference
  • Primary care redesign and transformation
Focus Area Topics
  • Health
  • Delivery System Reforms
  • Payment Reform
  • Medicare
  • Disability

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