Literature DB >> 19723699

Using clinical information to project federal health care spending.

Elbert S Huang1, Anirban Basu, Michael J O'Grady, James C Capretta.   

Abstract

Complications from chronic illnesses often do not emerge for many years. Current federal cost projection methods are constrained by ten-year cost estimates, which capture increases in near-term intervention costs but not changes in long-term costs. Current methods also cannot easily capture the cost implications of changes in disease progression. Type 2 diabetes is a prime example of a chronic illness with long-term health and cost consequences. We present results from an epidemiologically based model that projects federal costs for diabetes under alternative policies, and we discuss the potential changes in the federal budget process needed to capture the full impact of these interventions.

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Year:  2009        PMID: 19723699     DOI: 10.1377/hlthaff.28.5.w978

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  6 in total

1.  Analyzing national health reform strategies with a dynamic simulation model.

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Journal:  Am J Public Health       Date:  2010-03-18       Impact factor: 9.308

2.  Value of health interventions underestimated by governments.

Authors:  Nayanah Siva
Journal:  Nat Med       Date:  2009-10       Impact factor: 53.440

3.  Tradeoffs in cardiovascular disease prevention, treatment, and research.

Authors:  George Miller; Matthew Daly; Charles Roehrig
Journal:  Health Care Manag Sci       Date:  2012-10-23

Review 4.  Chronic disease, prevention policy, and the future of public health and primary care.

Authors:  Rick Mayes; Blair Armistead
Journal:  Med Health Care Philos       Date:  2013-11

5.  Medical Expenditures Associated With Diabetes Among Adult Medicaid Enrollees in Eight States.

Authors:  Boon Peng Ng; Sundar S Shrestha; Andrew Lanza; Bryce Smith; Ping Zhang
Journal:  Prev Chronic Dis       Date:  2018-09-27       Impact factor: 2.830

6.  Projecting the future diabetes population size and related costs for the U.S.

Authors:  Elbert S Huang; Anirban Basu; Michael O'Grady; James C Capretta
Journal:  Diabetes Care       Date:  2009-12       Impact factor: 19.112

  6 in total

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