Literature DB >> 8799253

Cost-effectiveness analysis in diagnosis of cardiac disease: overview of its rationale and method.

R E Patterson1.   

Abstract

This article reviews selected literature that can be useful for analysis of cost-effectiveness (CE) of diagnostic procedures in patients with known or suspected coronary artery disease. First, a clinical example illustrates some of the issues involved. Four questions are used to organize the material: (1) What is CE analysis? (2) Why should we use CE analysis? (3) Who should perform CE analysis? and (4) How should CE analysis be performed? (1) What is CE analysis? CE analysis differs from cost-reduction or cost-benefit analysis but may encompass cost-utility analysis. Marginal CE emphasizes differences in CE between different strategies. (2) Why should we use CE analysis? Nuclear cardiology depends on the fruits of medical technology, and many policy makers blame technology for escalating costs of health care. This situation requires us to reduce the absolute cost or the increment in cost, as well as to assess the true value of the technology we use. (3) Who should perform CE analysis? A team approach is the best answer to combine the expertise from clinicians and economists. A team approach and detailed definitions of assumptions can help minimize potential bias. (4) How should CE analysis be performed? CE analysis requires formulating important questions, designing alternative scenarios or strategies, selecting values for the numeric variables and including the probability that an event will occur, calculating cost per outcome, and sensitivity analysis of the model. The appropriate goal of CE analysis of the clinical use of cardiac imaging procedures is, first, to help improve patient outcome and, second, to limit costs.

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Year:  1996        PMID: 8799253     DOI: 10.1016/s1071-3581(96)90094-x

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  41 in total

1.  Measures of clinical efficacy. Cost-effectiveness calculations in the diagnosis and treatment of hypertensive renovascular disease.

Authors:  B J McNeil; P D Varady; B A Burrows; S J Adelstein
Journal:  N Engl J Med       Date:  1975-07-31       Impact factor: 91.245

Review 2.  A clinician's guide to cost-effectiveness analysis.

Authors:  A S Detsky; I G Naglie
Journal:  Ann Intern Med       Date:  1990-07-15       Impact factor: 25.391

3.  Economics is everybody's business.

Authors:  D Riesenberg
Journal:  JAMA       Date:  1989-11-24       Impact factor: 56.272

4.  Economic analysis of health care technology. A report on principles. Task Force on Principles for Economic Analysis of Health Care Technology.

Authors: 
Journal:  Ann Intern Med       Date:  1995-07-01       Impact factor: 25.391

Review 5.  Cost-effectiveness analysis in heart disease, Part I: General principles.

Authors:  J Kupersmith; M Holmes-Rovner; A Hogan; D Rovner; J Gardiner
Journal:  Prog Cardiovasc Dis       Date:  1994 Nov-Dec       Impact factor: 8.194

6.  A critical appraisal of the Bayesian approach to diagnose coronary artery disease.

Authors:  F I Marcus
Journal:  J Am Coll Cardiol       Date:  1984-08       Impact factor: 24.094

7.  Bayes' theorem and conditional nonindependence of data in medical diagnosis.

Authors:  D G Fryback
Journal:  Comput Biomed Res       Date:  1978-10-05

8.  Bayesian comparison of cost-effectiveness of different clinical approaches to diagnose coronary artery disease.

Authors:  R E Patterson; C Eng; S F Horowitz; R Gorlin; S R Goldstein
Journal:  J Am Coll Cardiol       Date:  1984-08       Impact factor: 24.094

9.  Comparison of cost-effectiveness and utility of exercise ECG, single photon emission computed tomography, positron emission tomography, and coronary angiography for diagnosis of coronary artery disease.

Authors:  R E Patterson; R L Eisner; S F Horowitz
Journal:  Circulation       Date:  1995-01-01       Impact factor: 29.690

10.  Estimating the likelihood of significant coronary artery disease.

Authors:  D B Pryor; F E Harrell; K L Lee; R M Califf; R A Rosati
Journal:  Am J Med       Date:  1983-11       Impact factor: 4.965

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  2 in total

1.  Cardiac risk defined by stress myocardial perfusion imaging: Impact on physician decision making and cost savings.

Authors:  Kenneth A Brown
Journal:  J Nucl Cardiol       Date:  2002 Jan-Feb       Impact factor: 5.952

2.  Cost-effectiveness of intracoronary flow velocity measurements and myocardial perfusion scintigraphy for management of intermediate coronary lesions.

Authors:  S A J Chamuleau; M G W Dijkgraaf; B L F van Eck-Smit; J G P Tijssen; J J Piek
Journal:  Neth Heart J       Date:  2005-06       Impact factor: 2.380

  2 in total

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