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References (54)
-
G. Griffith (2008)
Patient preferences in the delivery of cancer genetic services. -
S. Malander, M. Ridderheim, A. Måsbäck, N. Loman, U. Kristoffersson, Hampus Olsson, M. Nilbert, Å. Borg (2004)
One in 10 ovarian cancer patients carry germ line BRCA1 or BRCA2 mutations: results of a prospective study in Southern Sweden.European journal of cancer, 40 3
-
LA Aaltonen, R Salovaara, P Kristo (1989)
Incidence of hereditary nonpolyposis cancer and the feasibility of molecular screening for the diseaseN Engl J Med, 338
-
(1991)
Clinical genetic services in 1990 and beyond -
N. Torrance, J. Mollison, S. Wordsworth, J. Gray, Z. Miedzybrodzka, N. Haites, A. Grant, M. Campbell, M. Watson, A. Clarke, Brenda Wilson (2006)
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 trialsBritish Journal of Cancer, 95
-
M. Bech, D. Gyrd-Hansen (2005)
Effects coding in discrete choice experiments.Health economics, 14 10
-
M. Ryan, E. McIntosh, P. Shackley (1998)
Using conjoint analysis to elicit the views of health service users: an application to the patient health cardHealth Expectations, 1
-
GL Griffith, RT Edwards, J Gray (2004)
Cancer genetics services: a review of the economic evidence and issuesBr J Cancer, 90
-
A. Clarke, E. Parsons, Allison Williams (1996)
Outcomes and process in genetic counsellingClinical Genetics, 50
-
R. Wooster, G. Bignell, J. Lancaster, S. Swift, S. Seal, J. Mangion, N. Collins, S. Gregory, C. Gumbs, G. Micklem, R. Barfoot, R. Hamoudi, Sandeep Patel, Catherine Rices, P. Biggs, Yasmin Hashim, Amanda Smith, F. Connor, A. Arason, J. Gudmundsson, David Flcenec, D. Kelsell, D. Ford, P. Tonin, P. Tonin, D. Bishop, N. Spurr, B. Ponder, R. Eeles, J. Peto, P. Devilee, C. Cornelisse, H. Lynch, S. Narod, S. Narod, G. Lenoir, V. Egilsson, Rosa Barkadottir, D. Easton, D. Bentley, P. Futreal, A. Ashworth, M. Stratton (1995)
Identification of the breast cancer susceptibility gene BRCA2Nature, 378
-
(2006)
The Nice guideline (41). Familial breast cancer: the classification and care of women at risk of familial breast cancer in primary, secondary and tertiary care -
Gethin Griffith, R Edwards, J. Gray (2004)
Cancer genetics services: a systematic review of the economic evidence and issuesBritish Journal of Cancer, 90
-
H. Lynch, W. Albano, B. Danes, M. Layton, W. Kimberling, J. Lynch, S. Cheng, K. Costello, G. Mulcahy, C. Wagner, Sylvia Tindall (1984)
Genetic predisposition to breast cancerCancer, 53
-
D. Rose, K. O’Reilly, J. Martin (1997)
The ESRC review of government social classifications.Population trends, 89
-
(1995)
A second report to the NHS Central Research and Development Committee on the new genetics -
D. Wonderling, Penny Hopwood, A. Cull, F. Douglas, M. Watson, J. Burn, K. Mcpherson (2001)
A descriptive study of UK cancer genetics services: an emerging clinical response to the new geneticsBritish Journal of Cancer, 85
-
N. Dubrawsky (1989)
Cancer statisticsCA: A Cancer Journal for Clinicians, 39
-
E. Lancsar, C. Donaldson (2005)
Discrete choice experiments in health economicsThe European Journal of Health Economics, 6
-
M. Delatycki, R. Williamson, S. Forrest (1999)
Review articles Friedreich ataxia: an overview -
M. Ryan (1996)
Using Consumer Preferences in Health Care Decision Making: The Application of Conjoint Analysis -
Jane Hall, P. Kenny, Madeleine King, J. Louviere, R. Viney, A. Yeoh (2002)
Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination.Health economics, 11 5
-
S. Bryan, M. Buxton, R. Sheldon, A. Grant (1998)
Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences.Health economics, 7 7
-
Sarah Landis, Taylor Murray, Sherry Bolden, P. Wingo (1999)
Cancer statistics, 1999CA: A Cancer Journal for Clinicians, 49
-
J. Ratcliffe, M. Buxton (1999)
PATIENTS' PREFERENCES REGARDING THE PROCESS AND OUTCOMES OF LIFE-SAVING TECHNOLOGYInternational Journal of Technology Assessment in Health Care, 15
-
R. Dawes, Bernard Corrigan (1974)
Linear models in decision making.Psychological Bulletin, 81
-
E. Lancsar, E. Savage (2004)
Deriving welfare measures from discrete choice experiments: a response to Ryan and Santos SilvaHealth Economics, 13
-
K. Monroe (1971)
Measuring Price Thresholds by Psychophysics and Latitudes of AcceptanceJournal of Marketing Research, 8
-
K. Monroe (1971)
“Psychophysics of Prices”: A ReappraisalJournal of Marketing Research, 8
-
(1998)
Magnetic resonance imaging for the investigation of knee injuries: a discrete choice conjoint analysis exercise -
(2002)
All Wales cancer genetics service: final report -
L. Aaltonen, R. Salovaara, P. Kristo, F. Canzian, A. Hemminki, P. Peltomäki, R. Chadwick, H. Kääriäinen, M. Eskelinen, H. Järvinen, J. Mecklin, A. Chapelle, A. Percesepe, H. Ahtola, N. Härkönen, R. Julkunen, Eero Kangas, S. Ojala, J. Tulikoura, E. Valkamo (1998)
Incidence of hereditary nonpolyposis colorectal cancer and the feasibility of molecular screening for the disease.The New England journal of medicine, 338 21
-
Michael Minton (1998)
Palliative Care Ethics: A Good CompanionBMJ, 316
-
PS Harper, AJ Clarke (1997)
Genetics and society in clinical practice -
E. McIntosh, M. Ryan (2002)
Using discrete choice experiments to derive welfare estimates for the provision of elective surgery: Implications of discontinuous preferencesJournal of Economic Psychology, 23
-
(1999)
Assessing user preferences for, and costs of, genetic counselling for familial cancer risk in Scotland: a cost-utility analysis using conjoint analysis -
Y. Miki, J. Swensen, D. Shattuck-Eidens, P. Futreal, K. Harshman, S. Tavtigian, Qingyun Liu, C. Cochran, L. Bennett, W. Ding, R. Bell, J. Rosenthal, C. Hussey, Thanh Tran, M. Mcclure, C. Frye, T. Hattier, R. Phelps, A. Haugen-Strano, H. Katcher, Kazuko Yakumo, Z. Gholami, Daniel Shaffer, S. Stone, Steven Bayer, Christian Wray, R. Bogden, P. Dayananth, J. Ward, P. Tonin, S. Narod, Pamela Bristow, F. Norris, L. Helvering, P. Morrison, P. Rosteck, Mei Lai, J. Barrett, C. Lewis, S. Neuhausen, L. Cannon-Albright, D. Goldgar, R. Wiseman, A. Kamb, M. Skolnick (1994)
A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1.Science, 266 5182
-
K. Pedersen, T. Christiansen, M. Bech (2005)
The Danish health care system: evolution--not revolution--in a decentralized system.Health economics, 14 Suppl 1
-
K. Hanson, B. McPake, P. Nakamba, L. Archard (2005)
Preferences for hospital quality in Zambia: results from a discrete choice experiment.Health economics, 14 7
-
V. Hundley, M. Ryan (2004)
Are women's expectations and preferences for intrapartum care affected by the model of care on offer?BJOG: An International Journal of Obstetrics & Gynaecology, 111
-
B. Parker, V. Srinivasan (1976)
A Consumer Preference Approach to the Planning of Rural Primary Health-Care FacilitiesOper. Res., 24
-
C. Soravia, B. Bapat, Z. Cohen (1997)
Familial adenomatous polyposis (FAP) and hereditary nonpolyposis colorectal cancer (HNPCC): a review of clinical, genetic and therapeutic aspects.Schweizerische medizinische Wochenschrift, 127 16
-
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 (2002)
Ethical, Social and Economic Issues in Familial Breast Cancer: A Compilation of Views from the E.C. Biomed II Demonstration ProjectDisease Markers, 15
-
(1991)
Users manual for the speed version 2.1 stated preference experiment editor and designer -
(1998)
Genetic testing for late onset disorders (Harper report) -
(1998)
Limdep version 7.0 -
G. Griffith, R. Tudor-Edwards, J. Gray, R. Butler, C. Wilkinson, J. Turner, B. France, P. Bennett (2004)
A micro costing of NHS cancer genetic servicesBritish Journal of Cancer, 92
-
Anthony Scott (2001)
Eliciting GPs' preferences for pecuniary and non-pecuniary job characteristics.Journal of health economics, 20 3
-
(1997)
Prioritisation of clinical service developments in a teaching hospital: an application of conjoint analysis -
H. Risch, J. McLaughlin, D. Cole, B. Rosen, L. Bradley, E. Kwan, E. Jack, D. Vesprini, G. Kuperstein, J. Abrahamson, I. Fan, B. Wong, S. Narod (2001)
Prevalence and penetrance of germline BRCA1 and BRCA2 mutations in a population series of 649 women with ovarian cancer.American journal of human genetics, 68 3
-
J. Louviere, D. Hensher, J. Swait (2000)
Stated Choice Methods: Analysis and Applications -
C. Verhoef, A. Maas, L. Stalpers, A. Verbeek, T. Wobbes, W. Daal (1991)
The feasibility of additive conjoint measurement in measuring utilities in breast cancer patientsHealth Policy, 17
-
K. Brain, J. Gray, P. Norman, E. Parsons, A. Clarke, C. Rogers, R. Mansel, Peter Harper (2000)
Why do women attend familial breast cancer clinics?Journal of Medical Genetics, 37
-
R. Viney, E. Lancsar, J. Louviere (2002)
Discrete choice experiments to measure consumer preferences for health and healthcareExpert Review of Pharmacoeconomics & Outcomes Research, 2
-
F. Miguel, M. Ryan, Mabelle Amaya-Amaya (2005)
'Irrational' stated preferences: a quantitative and qualitative investigation.Health economics, 14 3
- Publisher
- Springer Journals
- Copyright
- Copyright © 2008 by Springer Science+Business Media B.V.
- Subject
- Biomedicine; Biomedicine general; Epidemiology; Human Genetics ; Cancer Research
- ISSN
- 1389-9600
- eISSN
- 1573-7292
- DOI
- 10.1007/s10689-008-9217-5
- pmid
- 18821034
- Publisher site
- See Article on Publisher Site
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 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.
Journal
Familial Cancer – Springer Journals
Published: Sep 27, 2008