Literature DB >> 12674416

Spending and service use among people with the fifteen most costly medical conditions, 1997.

Joel W Cohen1, Nancy A Krauss.   

Abstract

This study addresses the Institute of Medicine's recommendation that AHRQ use MEPS data to identify a set of priority conditions to inform efforts at improving quality of care. Using MEPS data we identify the fifteen most expensive conditions in the U.S. in 1997: chronic diseases such as heart disease, cancer, and diabetes, and acute conditions such as trauma, pneumonia, and infectious disease. Comorbidities were also associated with increased expenses. Type-of-service and source-of-payment distributions varied considerably across this set of conditions. Our findings highlight some of the challenges likely to be encountered in efforts to reform the current system.

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Year:  2003        PMID: 12674416     DOI: 10.1377/hlthaff.22.2.129

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


  32 in total

1.  BALANCE (Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement): developing new technology for monitoring energy balance in real time.

Authors:  Deonna C Hughes; Adrienne Andrew; Tamara Denning; Philip Hurvitz; Jonathan Lester; Shirley Beresford; Gaetano Borriello; Barbara Bruemmer; Anne Vernez Moudon; Glen E Duncan
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

2.  Potential national and state medical care savings from primary disease prevention.

Authors:  Barbara A Ormond; Brenda C Spillman; Timothy A Waidmann; Kyle J Caswell; Bogdan Tereshchenko
Journal:  Am J Public Health       Date:  2010-11-18       Impact factor: 9.308

3.  The influence of coagulation and inflammation research on the improvement of polytrauma care.

Authors:  M Perl; M Huber-Lang; F Gebhard
Journal:  Eur J Trauma Emerg Surg       Date:  2011-11-09       Impact factor: 3.693

4.  How do doctors in different countries manage the same patient? Results of a factorial experiment.

Authors:  John McKinlay; Carol Link; Lisa Marceau; Amy O'Donnell; Sara Arber; Ann Adams; Karen Lutfey
Journal:  Health Serv Res       Date:  2006-12       Impact factor: 3.402

5.  Measuring the public's health.

Authors:  Stephen B Thacker; Donna F Stroup; Vilma Carande-Kulis; James S Marks; Kakoli Roy; Julie L Gerberding
Journal:  Public Health Rep       Date:  2006 Jan-Feb       Impact factor: 2.792

6.  Using information on clinical conditions to predict high-cost patients.

Authors:  John A Fleishman; Joel W Cohen
Journal:  Health Serv Res       Date:  2010-01-27       Impact factor: 3.402

7.  Physician styles of patient management as a potential source of disparities: cluster analysis from a factorial experiment.

Authors:  Karen E Lutfey; Eric Gerstenberger; John B McKinlay
Journal:  Health Serv Res       Date:  2012-10-22       Impact factor: 3.402

8.  Stroke centers and regional networks: A blueprint for improving outcomes.

Authors:  Marilyn M Rymer
Journal:  Mo Med       Date:  2010 Mar-Apr

9.  Mental health and high-cost health care utilization: new evidence from Axis II disorders.

Authors:  Johanna Catherine Maclean; Haiyong Xu; Michael T French; Susan L Ettner
Journal:  Health Serv Res       Date:  2013-10-03       Impact factor: 3.402

Review 10.  Clinical Outcomes of Metabolic Surgery: Microvascular and Macrovascular Complications.

Authors:  Ted D Adams; David E Arterburn; David M Nathan; Robert H Eckel
Journal:  Diabetes Care       Date:  2016-06       Impact factor: 19.112

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