Literature DB >> 24566923

Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Mark Harrison1, Dan Rigby, Caroline Vass, Terry Flynn, Jordan Louviere, Katherine Payne.   

Abstract

BACKGROUND: Discrete choice experiments (DCEs) are used to elicit preferences of current and future patients and healthcare professionals about how they value different aspects of healthcare. Risk is an integral part of most healthcare decisions. Despite the use of risk attributes in DCEs consistently being highlighted as an area for further research, current methods of incorporating risk attributes in DCEs have not been reviewed explicitly.
OBJECTIVES: This study aimed to systematically identify published healthcare DCEs that incorporated a risk attribute, summarise and appraise methods used to present and analyse risk attributes, and recommend best practice regarding including, analysing and transparently reporting the methodology supporting risk attributes in future DCEs. DATA SOURCES: The Web of Science, MEDLINE, EMBASE, PsycINFO and Econlit databases were searched on 18 April 2013 for DCEs that included a risk attribute published since 1995, and on 23 April 2013 to identify studies assessing risk communication in the general (non-DCE) health literature. STUDY ELIGIBILITY CRITERIA: Healthcare-related DCEs with a risk attribute mentioned or suggested in the title/abstract were obtained and retained in the final review if a risk attribute meeting our definition was included. STUDY APPRAISAL AND SYNTHESIS
METHODS: Extracted data were tabulated and critically appraised to summarise the quality of reporting, and the format, presentation and interpretation of the risk attribute were summarised.
RESULTS: This review identified 117 healthcare DCEs that incorporated at least one risk attribute. Whilst there was some evidence of good practice incorporated into the presentation of risk attributes, little evidence was found that developing methods and recommendations from other disciplines about effective methods and validation of risk communication were systematically applied to DCEs. In general, the reviewed DCE studies did not thoroughly report the methodology supporting the explanation of risk in training materials, the impact of framing risk, or exploring the validity of risk communication. LIMITATIONS: The primary limitation of this review was that the methods underlying presentation, format and analysis of risk attributes could only be appraised to the extent that they were reported.
CONCLUSIONS: Improvements in reporting and transparency of risk presentation from conception to the analysis of DCEs are needed. To define best practice, further research is needed to test how the process of communicating risk affects the way in which people value risk attributes in DCEs.

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Year:  2014        PMID: 24566923     DOI: 10.1007/s40271-014-0048-1

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  171 in total

1.  Using plausible group sizes to communicate information about medical risks.

Authors:  Rocio Garcia-Retamero; Mirta Galesic
Journal:  Patient Educ Couns       Date:  2010-08-21

2.  Benefits, risk, and uncertainty: preferences of antiretroviral-naïve African Americans for HIV treatments.

Authors:  A Brett Hauber; Ateesha F Mohamed; Maria E Watson; F Reed Johnson; Jaime E Hernandez
Journal:  AIDS Patient Care STDS       Date:  2009-01       Impact factor: 5.078

3.  What determines individuals' preferences for colorectal cancer screening programmes? A discrete choice experiment.

Authors:  L van Dam; L Hol; E W de Bekker-Grob; E W Steyerberg; E J Kuipers; J D F Habbema; M L Essink-Bot; M E van Leerdam
Journal:  Eur J Cancer       Date:  2010-01       Impact factor: 9.162

4.  Influence of graphic format on comprehension of risk information among American Indians.

Authors:  Debra Sprague; Donna L LaVallie; Fredric M Wolf; Clemma Jacobsen; Kirsten Sayson; Dedra Buchwald
Journal:  Med Decis Making       Date:  2010-12-29       Impact factor: 2.583

5.  Health outcome priorities among competing cardiovascular, fall injury, and medication-related symptom outcomes.

Authors:  Mary E Tinetti; Gail J McAvay; Terri R Fried; Heather G Allore; Joanna C Salmon; Joanne M Foody; Luann Bianco; Sandra Ginter; Liana Fraenkel
Journal:  J Am Geriatr Soc       Date:  2008-07-24       Impact factor: 5.562

6.  Communicating treatment risk reduction to people with low numeracy skills: a cross-cultural comparison.

Authors:  Rocio Garcia-Retamero; Mirta Galesic
Journal:  Am J Public Health       Date:  2009-10-15       Impact factor: 9.308

7.  The effect of alternative summary statistics for communicating risk reduction on decisions about taking statins: a randomized trial.

Authors:  Cheryl L L Carling; Doris Tove Kristoffersen; Victor M Montori; Jeph Herrin; Holger J Schünemann; Shaun Treweek; Elie A Akl; Andrew D Oxman
Journal:  PLoS Med       Date:  2009-08-25       Impact factor: 11.069

8.  Using comparison scenarios to improve prenatal risk communication.

Authors:  Stefania Pighin; Lucia Savadori; Elisa Barilli; Rino Rumiati; Sara Bonalumi; Maurizio Ferrari; Laura Cremonesi
Journal:  Med Decis Making       Date:  2012-10-24       Impact factor: 2.583

9.  Use of conjoint analysis to assess HIV vaccine acceptability: feasibility of an innovation in the assessment of consumer health-care preferences.

Authors:  S J Lee; P A Newman; W S Comulada; W E Cunningham; N Duan
Journal:  Int J STD AIDS       Date:  2012-04       Impact factor: 1.359

10.  Risk communication and prostate cancer: identifying which summary statistics are best understood by men.

Authors:  Dragan Ilic; Kerry Murphy; Sally Green
Journal:  Am J Mens Health       Date:  2012-07-12
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  38 in total

1.  A Systematic Review of Discrete-Choice Experiments and Conjoint Analysis Studies in People with Multiple Sclerosis.

Authors:  Edward J D Webb; David Meads; Ieva Eskyte; Natalie King; Naila Dracup; Jeremy Chataway; Helen L Ford; Joachim Marti; Sue H Pavitt; Klaus Schmierer; Ana Manzano
Journal:  Patient       Date:  2018-08       Impact factor: 3.883

Review 2.  How important is mode of administration in treatments for rheumatic diseases and related conditions?

Authors:  Nick Bansback; Logan Trenaman; Mark Harrison
Journal:  Curr Rheumatol Rep       Date:  2015-06       Impact factor: 4.592

3.  Choosing a Doctor: Does Presentation Format Affect the Way Consumers Use Health Care Performance Information?

Authors:  Patricia Kenny; Stephen Goodall; Deborah J Street; Jessica Greene
Journal:  Patient       Date:  2017-12       Impact factor: 3.883

4.  Personalizing Second-Line Type 2 Diabetes Treatment Selection: Combining Network Meta-analysis, Individualized Risk, and Patient Preferences for Unified Decision Support.

Authors:  Sung Eun Choi; Seth A Berkowitz; John S Yudkin; Huseyin Naci; Sanjay Basu
Journal:  Med Decis Making       Date:  2019-02-15       Impact factor: 2.583

5.  "I Was Trying to Do the Maths": Exploring the Impact of Risk Communication in Discrete Choice Experiments.

Authors:  Caroline Vass; Dan Rigby; Katherine Payne
Journal:  Patient       Date:  2019-02       Impact factor: 3.883

6.  Older People's Preferences for Side Effects Associated with Antimuscarinic Treatments of Overactive Bladder: A Discrete-Choice Experiment.

Authors:  Veerle H Decalf; Anja M J Huion; Dries F Benoit; Marie-Astrid Denys; Mirko Petrovic; Karel C M M Everaert
Journal:  Drugs Aging       Date:  2017-08       Impact factor: 3.923

7.  A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes.

Authors:  Ellen M Janssen; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

8.  How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity.

Authors:  Matthew Quaife; Fern Terris-Prestholt; Gian Luca Di Tanna; Peter Vickerman
Journal:  Eur J Health Econ       Date:  2018-01-29

9.  How Do Members of the Duchenne and Becker Muscular Dystrophy Community Perceive a Discrete-Choice Experiment Incorporating Uncertain Treatment Benefit? An Application of Research as an Event.

Authors:  John F P Bridges; Jui-Hua Tsai; Ellen Janssen; Norah L Crossnohere; Ryan Fischer; Holly Peay
Journal:  Patient       Date:  2019-04       Impact factor: 3.883

10.  Preferences for physical activity: a conjoint analysis involving people with chronic knee pain.

Authors:  D Pinto; U Bockenholt; J Lee; R W Chang; L Sharma; D J Finn; A W Heinemann; J L Holl; P Hansen
Journal:  Osteoarthritis Cartilage       Date:  2018-10-15       Impact factor: 6.576

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