Literature DB >> 9889438

Taking a count: the evaluation of genetic testing.

J Hall1, R Viney, M Haas.   

Abstract

While some forms of genetic testing have been available for decades, the progress of the Human Genome Project will expand the possibilities for testing. Evaluation of genetic testing is warranted because health care services have an opportunity cost and thus the benefits of testing must be assessed against the costs. However, genetic testing raises new methodological difficulties in taking into account the full range of costs, benefits and risks. The conventional approach to evaluating new technologies is to assess their benefits in terms of health outcomes only, and to consider the effects on the individuals being tested. Like any test, the product of genetic testing is information. Any subsequent health outcome gain depends on the effectiveness of any intervention which results from the information. Assessing the benefits in terms of health outcomes only excludes consideration of any value, both positive and negative, attached to information. The special feature of genetic testing is that the information obtained has implications for family members. This information may have value to relatives individually and may affect family interactions. Information also has value at a social level; it may affect social relationships and interactions. As the possibilities for genetic testing expand, it is likely that testing programs will be subject to economic evaluation. Until the methods and measures used can validly take this range of effects into account (and into a count of benefits), then the results of evaluation studies will be, at best, incomplete and, at worst, misleading.

Entities:  

Keywords:  Genetics and Reproduction

Mesh:

Year:  1998        PMID: 9889438     DOI: 10.1111/j.1467-842x.1998.tb01488.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  5 in total

Review 1.  Genetics and public health--evolution, or revolution?

Authors:  Jane L Halliday; Veronica R Collins; Mary Anne Aitken; Martin P M Richards; Craig A Olsson
Journal:  J Epidemiol Community Health       Date:  2004-11       Impact factor: 3.710

Review 2.  HIV-1 drug resistance genotyping. A review of clinical and economic issues.

Authors:  C Chaix-Couturier; C Holtzer; K A Phillips; I Durand-Zaleski; J Stansell
Journal:  Pharmacoeconomics       Date:  2000-11       Impact factor: 4.981

3.  Genetic testing: predictive value of genotyping for diagnosis and management of disease.

Authors:  Meral Ozgüç
Journal:  EPMA J       Date:  2011-05-06       Impact factor: 6.543

Review 4.  Cancer genetics services: a systematic review of the economic evidence and issues.

Authors:  G L Griffith; R T Edwards; J Gray
Journal:  Br J Cancer       Date:  2004-05-04       Impact factor: 7.640

5.  Plasma 24-metabolite Panel Predicts Preclinical Transition to Clinical Stages of Alzheimer's Disease.

Authors:  Massimo S Fiandaca; Xiaogang Zhong; Amrita K Cheema; Michael H Orquiza; Swathi Chidambaram; Ming T Tan; Carole Roan Gresenz; Kevin T FitzGerald; Mike A Nalls; Andrew B Singleton; Mark Mapstone; Howard J Federoff
Journal:  Front Neurol       Date:  2015-11-12       Impact factor: 4.003

  5 in total

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