Literature DB >> 18821034

Patient preferences and National Health Service costs: a cost-consequences analysis of cancer genetic services.

Gethin L Griffith1, Rhiannon Tudor Edwards, J Mark G Williams, Jonathon Gray, Val Morrison, Clare Wilkinson, Jim Turner, Barbara France, Paul Bennett.   

Abstract

The study has three aims; firstly to establish if, having been informed of their risk status and that gene testing is inappropriate for them, low and moderate risk patients have misunderstood or failed to grasp this and want a test that is inappropriate for them. Secondly, to elicit patients' willingness to pay for cancer genetic services. Thirdly, to ascertain the aspects of cancer genetics services that are important to high risk patients and present service configurations prioritised in terms of preferences accompanied by their costs (cost-consequences analysis). Patient preferences were gathered from 120 patients returning a self-administered discrete choice questionnaire issued post genetic risk assessment. Patients at low and moderate risk of developing breast cancer desired inappropriate testing. Patients at high, moderate and low risk of developing genetic cancer were willing to pay up to 3,000 pounds for genetic serviced, which exceeds the current estimated cost of providing testing and counselling. Counselling by a genetics associate accompanied by favourable levels of other attributes provided high utility and substantial cost savings.

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Year:  2008        PMID: 18821034     DOI: 10.1007/s10689-008-9217-5

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  26 in total

1.  'Irrational' stated preferences: a quantitative and qualitative investigation.

Authors:  Fernando San Miguel; Mandy Ryan; Mabelle Amaya-Amaya
Journal:  Health Econ       Date:  2005-03       Impact factor: 3.046

2.  Discrete choice experiments in health economics. For better or for worse?

Authors:  Stirling Bryan; Paul Dolan
Journal:  Eur J Health Econ       Date:  2004-10

3.  Preferences for hospital quality in Zambia: results from a discrete choice experiment.

Authors:  Kara Hanson; Barbara McPake; Pamela Nakamba; Luke Archard
Journal:  Health Econ       Date:  2005-07       Impact factor: 3.046

4.  Discrete choice experiments to measure consumer preferences for health and healthcare.

Authors:  Rosalie Viney; Emily Lancsar; Jordan Louviere
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2002-08       Impact factor: 2.217

5.  Patients' preferences regarding the process and outcomes of life-saving technology. An application of conjoint analysis to liver transplantation.

Authors:  J Ratcliffe; M Buxton
Journal:  Int J Technol Assess Health Care       Date:  1999       Impact factor: 2.188

6.  Cancer statistics, 1999.

Authors:  S H Landis; T Murray; S Bolden; P A Wingo
Journal:  CA Cancer J Clin       Date:  1999 Jan-Feb       Impact factor: 508.702

7.  Why do women attend familial breast cancer clinics?

Authors:  K Brain; J Gray; P Norman; E Parsons; A Clarke; C Rogers; R Mansel; P Harper
Journal:  J Med Genet       Date:  2000-03       Impact factor: 6.318

8.  Genetic predisposition to breast cancer.

Authors:  H T Lynch; W A Albano; B S Danes; M A Layton; W J Kimberling; J F Lynch; S C Cheng; K A Costello; G M Mulcahy; C A Wagner
Journal:  Cancer       Date:  1984-02-01       Impact factor: 6.860

9.  Genetic nurse counsellors can be an acceptable and cost-effective alternative to clinical geneticists for breast cancer risk genetic counselling. Evidence from two parallel randomised controlled equivalence trials.

Authors:  N Torrance; J Mollison; S Wordsworth; J Gray; Z Miedzybrodzka; N Haites; A Grant; M Campbell; M S Watson; A Clarke; B Wilson
Journal:  Br J Cancer       Date:  2006-07-11       Impact factor: 7.640

Review 10.  Ethical, social and economic issues in familial breast cancer: a compilation of views from the E.C. Biomed II Demonstration Project.

Authors:  M Steel; E Smyth; H Vasen; D Eccles; G Evans; P Møller; S Hodgson; D Stoppa-Lyonnet; J Chang-Claude; M Caligo; P Morrison; N Haites
Journal:  Dis Markers       Date:  1999-10       Impact factor: 3.434

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  5 in total

1.  The Department of Health-supported genetic counsellor training post scheme in England: a unique initiative?

Authors:  Chris Barnes; Lauren Kerzin-Storrar; Heather Skirton; Judy Tocher
Journal:  J Community Genet       Date:  2012-05-31

2.  Value of Genetic Testing for Hereditary Colorectal Cancer in a Probability-Based US Online Sample.

Authors:  Sara J Knight; Ateesha F Mohamed; Deborah A Marshall; Uri Ladabaum; Kathryn A Phillips; Judith M E Walsh
Journal:  Med Decis Making       Date:  2015-01-14       Impact factor: 2.583

3.  Genetic risk, perceived risk, and cancer worry in daughters of breast cancer patients.

Authors:  John M Quillin; Joann N Bodurtha; Donna McClish; Diane Baer Wilson
Journal:  J Genet Couns       Date:  2010-12-04       Impact factor: 2.537

4.  Genomic testing to determine drug response: measuring preferences of the public and patients using Discrete Choice Experiment (DCE).

Authors:  Mehdi Najafzadeh; Karissa M Johnston; Stuart J Peacock; Joseph M Connors; Marco A Marra; Larry D Lynd; Carlo A Marra
Journal:  BMC Health Serv Res       Date:  2013-10-31       Impact factor: 2.655

Review 5.  Stated Preference for Cancer Screening: A Systematic Review of the Literature, 1990-2013.

Authors:  Carol Mansfield; Florence K L Tangka; Donatus U Ekwueme; Judith Lee Smith; Gery P Guy; Chunyu Li; A Brett Hauber
Journal:  Prev Chronic Dis       Date:  2016-02-25       Impact factor: 2.830

  5 in total

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