Literature DB >> 19126254

Constructive Technology Assessment (CTA) as a tool in coverage with evidence development: the case of the 70-gene prognosis signature for breast cancer diagnostics.

Valesca P Retèl1, Jolien M Bueno-de-Mesquita, Marjan J M Hummel, Marc J van de Vijver, Kirsten F L Douma, Kim Karsenberg, Frits S A M van Dam, Cees van Krimpen, Frank E Bellot, Rudi M H Roumen, Sabine C Linn, Wim H van Harten.   

Abstract

OBJECTIVES: Constructive Technology Assessment (CTA) is a means to guide early implementation of new developments in society, and can be used as an evaluation tool for Coverage with Evidence Development (CED). We used CTA for the introduction of a new diagnostic test in the Netherlands, the 70-gene prognosis signature (MammaPrint) for node-negative breast cancer patients.
METHODS: Studied aspects were (organizational) efficiency, patient-centeredness and diffusion scenarios. Pre-post structured surveys were conducted in fifteen community hospitals concerning changes in logistics and teamwork as a consequence of the introduction of the 70-gene signature. Patient-centeredness was measured by questionnaires and interviews regarding knowledge and psychological impact of the test. Diffusion scenarios, which are commonly applied in industry to anticipate on future development and diffusion of their products, have been applied in this study.
RESULTS: Median implementation-time of the 70-gene signature was 1.2 months. Most changes were seen in pathology processes and adjuvant treatment decisions. Physicians valued the addition of the 70-gene signature information as beneficial for patient management. Patient-centeredness (n = 77, response 78 percent): patients receiving a concordant high-risk and discordant clinical low/high risk-signature showed significantly more negative emotions with respect to receiving both test-results compared with concordant low-risk and discordant clinical high/low risk-signature patients. The first scenario was written in 2004 before the introduction of the 70-gene signature and identified hypothetical developments that could influence diffusion; especially the "what-if" deviation describing a discussion on validity among physicians proved to be realistic.
CONCLUSIONS: Differences in speed of implementation and influenced treatment decisions were seen. Impact on patients seems especially related to discordance and its successive communication. In the future, scenario drafting will lead to input for model-based cost-effectiveness analysis. Finally, CTA can be useful as a tool to guide CED by adding monitoring and anticipation on possible developments during early implementation, to the assessment of promising new technologies.

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Year:  2009        PMID: 19126254     DOI: 10.1017/S0266462309090102

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


  10 in total

Review 1.  Review on early technology assessments of nanotechnologies in oncology.

Authors:  Valesca P Retèl; Marjan J M Hummel; Wim H van Harten
Journal:  Mol Oncol       Date:  2009-05-20       Impact factor: 6.603

2.  Early economic evaluation of emerging health technologies: protocol of a systematic review.

Authors:  Ba' Pham; Hong Anh Thi Tu; Dolly Han; Petros Pechlivanoglou; Fiona Miller; Valeria Rac; Warren Chin; Andrea C Tricco; Mike Paulden; Joanna Bielecki; Murray Krahn
Journal:  Syst Rev       Date:  2014-07-23

3.  Scenario drafting to anticipate future developments in technology assessment.

Authors:  Valesca P Retèl; Manuela A Joore; Sabine C Linn; Emiel J T Rutgers; Wim H van Harten
Journal:  BMC Res Notes       Date:  2012-08-16

4.  Scenario drafting for early technology assessment of next generation sequencing in clinical oncology.

Authors:  S E P Joosten; V P Retèl; V M H Coupé; M M van den Heuvel; W H van Harten
Journal:  BMC Cancer       Date:  2016-02-06       Impact factor: 4.430

5.  Innovations that reach the patient: early health technology assessment and improving the chances of coverage and implementation.

Authors:  W H van Harten; V P Retèl
Journal:  Ecancermedicalscience       Date:  2016-10-28

6.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06

7.  Public health in the genomic era: will Public Health Genomics contribute to major changes in the prevention of common diseases?

Authors:  Evy Cleeren; Johan Van der Heyden; Angela Brand; Herman Van Oyen
Journal:  Arch Public Health       Date:  2011-12-05

8.  Association between genomic recurrence risk and well-being among breast cancer patients.

Authors:  Valesca P Retèl; Catharina G M Groothuis-Oudshoorn; Neil K Aaronson; Noel T Brewer; Emiel J T Rutgers; Wim H van Harten
Journal:  BMC Cancer       Date:  2013-06-18       Impact factor: 4.430

9.  Assessment of the added value of the Twente Photoacoustic Mammoscope in breast cancer diagnosis.

Authors:  Marjolein P Hilgerink; Marjan Jm Hummel; Srirang Manohar; Simon R Vaartjes; Maarten J Ijzerman
Journal:  Med Devices (Auckl)       Date:  2011-07-28

Review 10.  Assessing excellence in translational cancer research: a consensus based framework.

Authors:  Abinaya Rajan; Carlos Caldas; Henri van Luenen; Mahasti Saghatchian; Wim H van Harten
Journal:  J Transl Med       Date:  2013-10-29       Impact factor: 5.531

  10 in total

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