Literature DB >> 15717037

Evidence from cost-effectiveness research.

Katia Noyes1, Robert G Holloway.   

Abstract

Economic evaluations are a set of outcomes and health services research methods to inform the debate about the rising cost of health care and include cost-of-illness studies and cost-effectiveness research. Cost-effectiveness research is the comparative analysis of two or more alternative interventions in terms of their health and economic consequences, whose results are expressed as an incremental cost-effectiveness ratio, the ratio of differences in cost between a pair of medical interventions to the differences in the corresponding health effects. These research methods are particularly important to neurological diseases with debilitating natural histories, long-term courses, and a growing number of exciting, yet costly, treatment options available. The results of economic evaluations of neurological conditions influence resource allocation decisions, help set reimbursement rates, estimate future healthcare expenses, and improve the quality and efficiency of delivering neurological care. For these research methods to achieve their potential, continued methodological advances within the field are needed, as well as a more systematic integration of these methods into mainstream research to address critical questions regarding the health and well-being of patients with neurological illness.

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Year:  2004        PMID: 15717037      PMCID: PMC534938          DOI: 10.1602/neurorx.1.3.348

Source DB:  PubMed          Journal:  NeuroRx        ISSN: 1545-5343


  33 in total

Review 1.  Design issues for conducting cost-effectiveness analyses alongside clinical trials.

Authors:  S D Ramsey; M McIntosh; S D Sullivan
Journal:  Annu Rev Public Health       Date:  2001       Impact factor: 21.981

2.  Bridging decision analytic modelling with a cross-sectional study. Application to Parkinson's disease.

Authors:  M J Nuijten
Journal:  Pharmacoeconomics       Date:  2000-03       Impact factor: 4.981

3.  Modeling for health care and other policy decisions: uses, roles, and validity.

Authors:  M C Weinstein; E L Toy; E A Sandberg; P J Neumann; J S Evans; K M Kuntz; J D Graham; J K Hammitt
Journal:  Value Health       Date:  2001 Sep-Oct       Impact factor: 5.725

4.  Representing uncertainty: the role of cost-effectiveness acceptability curves.

Authors:  E Fenwick; K Claxton; M Sculpher
Journal:  Health Econ       Date:  2001-12       Impact factor: 3.046

5.  Validity and interpretation of preference-based measures of health-related quality of life.

Authors:  L Lenert; R M Kaplan
Journal:  Med Care       Date:  2000-09       Impact factor: 2.983

Review 6.  Methods for analyzing health care utilization and costs.

Authors:  P Diehr; D Yanez; A Ash; M Hornbrook; D Y Lin
Journal:  Annu Rev Public Health       Date:  1999       Impact factor: 21.981

7.  Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost-effectiveness analysis.

Authors:  Jeffrey S Hoch; Andrew H Briggs; Andrew R Willan
Journal:  Health Econ       Date:  2002-07       Impact factor: 3.046

8.  Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices--Modeling Studies.

Authors:  Milton C Weinstein; Bernie O'Brien; John Hornberger; Joseph Jackson; Magnus Johannesson; Chris McCabe; Bryan R Luce
Journal:  Value Health       Date:  2003 Jan-Feb       Impact factor: 5.725

9.  A Bayesian approach to stochastic cost-effectiveness analysis. An illustration and application to blood pressure control in type 2 diabetes.

Authors:  A H Briggs
Journal:  Int J Technol Assess Health Care       Date:  2001       Impact factor: 2.188

10.  The cost diary: a method to measure direct and indirect costs in cost-effectiveness research.

Authors:  M E Goossens; M P Rutten-van Mölken; J W Vlaeyen; S M van der Linden
Journal:  J Clin Epidemiol       Date:  2000-07       Impact factor: 6.437

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  1 in total

1.  Joint distribution approaches to simultaneously quantifying benefit and risk.

Authors:  Michele L Shaffer; Kristi L Watterberg
Journal:  BMC Med Res Methodol       Date:  2006-10-12       Impact factor: 4.615

  1 in total

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