Literature DB >> 2517499

Selecting technologies for assessment.

D M Eddy.   

Abstract

This article describes criteria used by several organizations to select technologies for assessment and the factors that are common to most lists of criteria. It presents a framework or model (called TAPSS) that relates the most important factors. The model can be used to estimate the expected impact of an assessment on health and economic outcomes for a population. It incorporates information on such factors as the health and economic importance of the disease addressed by the technology, the expected impact of the technology on health and economic outcomes, variations in the technology's current use, and factors affecting the production and reception of an assessment. The article includes an example of an application of the method--screening for maple syrup urine disease.

Entities:  

Mesh:

Year:  1989        PMID: 2517499     DOI: 10.1017/s0266462300008424

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  6 in total

1.  STA distinguished lecture. Can technology education during medical school make better doctors?

Authors:  R J Kitz
Journal:  J Clin Monit       Date:  1992-07

2.  Keeping pace with new technologies: systems needed to identify and evaluate them.

Authors:  A Stevens; R Milne; R Lilford; J Gabbay
Journal:  BMJ       Date:  1999-11-13

Review 3.  Computer Rx: more harm than good?

Authors:  R Wall
Journal:  J Med Syst       Date:  1991-12       Impact factor: 4.460

Review 4.  On being a good listener: setting priorities for applied health services research.

Authors:  Jonathan Lomas; Naomi Fulop; Diane Gagnon; Pauline Allen
Journal:  Milbank Q       Date:  2003       Impact factor: 4.911

5.  Setting priorities and selecting topics for clinical practice guidelines.

Authors:  R N Battista; M J Hodge
Journal:  CMAJ       Date:  1995-11-01       Impact factor: 8.262

6.  Prioritisation criteria for the selection of new diagnostic technologies for evaluation.

Authors:  Annette Plüddemann; Carl Heneghan; Matthew Thompson; Nia Roberts; Nicholas Summerton; Luan Linden-Phillips; Claire Packer; Christopher P Price
Journal:  BMC Health Serv Res       Date:  2010-05-05       Impact factor: 2.655

  6 in total

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