Literature DB >> 27455122

For Diabetes Shared Savings Programs, 1 Year of Data Is Not Enough.

Lynne VanArsdale1, Douglas Curran-Everett2, Heather Haugen3, Nancy Smith4, Adam Atherly5.   

Abstract

Fee-for-service payment models are moving toward pay-for-performance designs, many of which rely on shared savings for financial sustainability. Shared savings programs divide the cost savings between health care purchaser and provider based on provider performance. Often, these programs measure provider performance as the delivery of agreed-upon clinical practice guidelines that usually are represented as evidence-based medicine (EBM). Multiyear studies show a negative relationship between total cost and EBM, indicating that long-term shared savings can be substantial. This study explores expectations for the rewards in the first year of a shared savings program. It also indicates the effectiveness of using 1 year of claims to assess cost savings from evidence-based care, especially in a patient population with high turnover. This study analyzed 1956 adults with diabetes insured through Medicaid. Results of linear regression showed that the relationship between total cost of care and each element of evidence-based medical care during a 1-year period was positive (higher cost) or insignificant. The results indicate that diabetes EBM programs cannot expect to see significant cost savings if the evaluation lasts only 1 year or less. The study concludes that improvements in EBM incentive programs could come from investigating the length of time needed to realize cost savings from each element of diabetes EBM. Investigating other factors that could affect the expected amount of cost savings also would benefit these programs, especially factors derived from sources external to insurance program information such as the medical record and care management data.

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Year:  2016        PMID: 27455122      PMCID: PMC6436027          DOI: 10.1089/pop.2016.0015

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  26 in total

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2.  Cost-effectiveness analysis of collaborative care management of major depression among low-income, predominantly Hispanics with diabetes.

Authors:  Joel W Hay; Wayne J Katon; Kathleen Ell; Pey-Jiuan Lee; Jeffrey J Guterman
Journal:  Value Health       Date:  2011-12-15       Impact factor: 5.725

3.  Electronic health records vs Medicaid claims: completeness of diabetes preventive care data in community health centers.

Authors:  Jennifer E Devoe; Rachel Gold; Patti McIntire; Jon Puro; Susan Chauvie; Charles A Gallia
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

4.  Stratifying healthcare costs using the Diabetes Complication Severity Index.

Authors:  C X Wu; W S Tan; M P H S Toh; B H Heng
Journal:  J Diabetes Complications       Date:  2012-03-31       Impact factor: 2.852

5.  Common comorbidity scales were similar in their ability to predict health care costs and mortality.

Authors:  Anthony J Perkins; Kurt Kroenke; Jürgen Unützer; Wayne Katon; John W Williams; Carol Hope; Christopher M Callahan
Journal:  J Clin Epidemiol       Date:  2004-10       Impact factor: 6.437

6.  Excess health care costs of obesity in adults with diabetes mellitus: a claims data analysis.

Authors:  T von Lengerke; E-G Hagenmeyer; H Gothe; G Schiffhorst; M Happich; B Häussler
Journal:  Exp Clin Endocrinol Diabetes       Date:  2010-05-21       Impact factor: 2.949

Review 7.  The relationship between age and healthcare expenditure among persons with diabetes mellitus.

Authors:  Ping Zhang; Kumiko Imai
Journal:  Expert Opin Pharmacother       Date:  2007-01       Impact factor: 3.889

8.  The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients.

Authors:  Mary E Charlson; Robert E Charlson; Janey C Peterson; Spyridon S Marinopoulos; William M Briggs; James P Hollenberg
Journal:  J Clin Epidemiol       Date:  2008-07-10       Impact factor: 6.437

9.  Prevalence of other diabetes-associated complications and comorbidities and its impact on health care charges among patients with diabetic neuropathy.

Authors:  Yang Zhao; Wenyu Ye; Kristina S Boye; John H Holcombe; Jerry A Hall; Ralph Swindle
Journal:  J Diabetes Complications       Date:  2008-10-18       Impact factor: 2.852

10.  Depression and costs of health care.

Authors:  Charles A Welch; David Czerwinski; Bijay Ghimire; Dimitris Bertsimas
Journal:  Psychosomatics       Date:  2009 Jul-Aug       Impact factor: 2.386

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