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Potential national and state medical care savings from primary disease prevention

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  • Ormond, B.A.
  • Spillman, B.C.
  • Waidmann, T.A.
  • Caswell, K.J.
  • Tereshchenko, B.

Abstract

Objectives: We estimated national and state-level potential medical care cost savings achievable through modest reductions in the prevalence of several diseases associated with the same lifestyle-related risk factors. Methods: Using Medical Expenditure Panel Survey Household Component data (2003-2005), we estimated the effects on medical spending over time of reductions in the prevalence of diabetes, hypertension, and related conditions amenable to primary prevention by comparing simulated counterfactual morbidity and medical care expenditures to actual disease and expenditure patterns. We produced state-level estimates of spending by using multivariate reweighting techniques. Results. Nationally, we estimated that reducing diabetes and hypertension prevalence by 5% would save approximately $9 billion annually in the near term. With resulting reductions in comorbidities and selected related conditions, savings could rise to approximately $24.7 billion annually in the medium term. Returns were greatest in absolute terms for private payers, but greatest in percentage terms for public payers. State savings varied with demographic makeup and prevailing morbidity. Conclusions. Well-designed interventions that achieve improvements in lifestyle-related risk factors could result in sufficient savings in the short and medium term to substantially offset intervention costs.

Suggested Citation

  • Ormond, B.A. & Spillman, B.C. & Waidmann, T.A. & Caswell, K.J. & Tereshchenko, B., 2011. "Potential national and state medical care savings from primary disease prevention," American Journal of Public Health, American Public Health Association, vol. 101(1), pages 157-164.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.182287_5
    DOI: 10.2105/AJPH.2009.182287
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    Cited by:

    1. Davari, Soheil & Kilic, Kemal & Naderi, Siamak, 2016. "A heuristic approach to solve the preventive health care problem with budget and congestion constraints," Applied Mathematics and Computation, Elsevier, vol. 276(C), pages 442-453.
    2. Allison B. Rosen & Kaushik Ghosh & Emily S. Pape & Marcelo Coca Perraillon & Irina Bondarenko & Kassandra L. Messer & Trivellore Raghunathan & Susan T. Stewart & David M. Cutler, 2017. "Strengthening National Data to Better Measure What We Are Buying in Health Care: Reconciling National Health Expenditures with Detailed Survey Data," NBER Working Papers 23290, National Bureau of Economic Research, Inc.
    3. Michele Cecchini & Franco Sassi, 2015. "Preventing Obesity in the USA: Impact on Health Service Utilization and Costs," PharmacoEconomics, Springer, vol. 33(7), pages 765-776, July.

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