Literature DB >> 24652475

Assessing stated preferences for colorectal cancer screening: a critical systematic review of discrete choice experiments.

S Wortley1, G Wong, A Kieu, K Howard.   

Abstract

BACKGROUND: It is well established that screening is effective in reducing the incidence and mortality associated with colorectal cancer (CRC). National screening programs have been implemented in many countries; however, uptake remains an issue. Understanding patient preferences may assist in shaping screening programs and tailoring information about screening tests.
OBJECTIVE: Our objective was to undertake a systematic review of discrete choice experiments (DCEs) of CRC screening.
METHODS: A systematic review of DCEs of CRC screening was undertaken in an average-risk general population. The methodological qualities of the studies were assessed using a standard checklist outlining best practice for conjoint studies.
RESULTS: Nine studies met the selection criteria. Meta-analysis was not possible due to the heterogeneity of the data and methods. However, in eight studies, attributes describing accuracy and/or clinical effectiveness were reported to be statistically significant. We also found that individuals were willing to trade-off other attributes such as an increased risk of complications to gain greater clinical benefits. Screening was also preferred to non-screening by the majority of respondents, regardless of the test used.
CONCLUSIONS: Understanding and incorporating individuals' preferences in decision making is increasingly considered essential in the health field. Data from DCEs can provide valuable insights into the trade-offs individuals are willing to undertake in respect to CRC screening. Such insights can be used by decision makers to identify screening tests that could maximize informed uptake. It is likely that, with better reporting and evolving methodology, the contribution that DCEs can make to such debates will increase.

Entities:  

Mesh:

Year:  2014        PMID: 24652475     DOI: 10.1007/s40271-014-0054-3

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


  49 in total

1.  Analysing public preferences for cancer screening programmes.

Authors:  D Gyrd-Hansen; J Søgaard
Journal:  Health Econ       Date:  2001-10       Impact factor: 3.046

2.  Investigating the structural reliability of a discrete choice experiment within health technology assessment.

Authors:  Julie Ratcliffe; Louise Longworth
Journal:  Int J Technol Assess Health Care       Date:  2002       Impact factor: 2.188

3.  The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; David Moher; Drummond Rennie; Henrica C W de Vet; Jeroen G Lijmer
Journal:  Ann Intern Med       Date:  2003-01-07       Impact factor: 25.391

4.  Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008.

Authors:  Deborah Marshall; John F P Bridges; Brett Hauber; Ruthanne Cameron; Lauren Donnalley; Ken Fyie; F Reed Johnson
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

5.  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

Review 6.  Colorectal cancer: CT colonography and colonoscopy for detection--systematic review and meta-analysis.

Authors:  Perry J Pickhardt; Cesare Hassan; Steve Halligan; Riccardo Marmo
Journal:  Radiology       Date:  2011-03-17       Impact factor: 11.105

7.  Labeled versus unlabeled discrete choice experiments in health economics: an application to colorectal cancer screening.

Authors:  Esther W de Bekker-Grob; Lieke Hol; Bas Donkers; Leonie van Dam; J Dik F Habbema; Monique E van Leerdam; Ernst J Kuipers; Marie-Louise Essink-Bot; Ewout W Steyerberg
Journal:  Value Health       Date:  2009-11-12       Impact factor: 5.725

Review 8.  Public preferences for colorectal cancer screening tests: a review of conjoint analysis studies.

Authors:  Alex Ghanouni; Samuel G Smith; Steve Halligan; Andrew Plumb; Darren Boone; Guiqing Lily Yao; Shihua Zhu; Richard Lilford; Jane Wardle; Christian von Wagner
Journal:  Expert Rev Med Devices       Date:  2013-07       Impact factor: 3.166

9.  An empirical comparison of methods for analyzing correlated data from a discrete choice survey to elicit patient preference for colorectal cancer screening.

Authors:  Ji Cheng; Eleanor Pullenayegum; Deborah A Marshall; John K Marshall; Lehana Thabane
Journal:  BMC Med Res Methodol       Date:  2012-02-20       Impact factor: 4.615

Review 10.  Colorectal cancer screening: why immunochemical fecal occult blood tests may be the best option.

Authors:  Kathy L Flitcroft; Les M Irwig; Stacy M Carter; Glenn P Salkeld; James A Gillespie
Journal:  BMC Gastroenterol       Date:  2012-12-29       Impact factor: 3.067

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  21 in total

1.  Preferences for Surveillance of Barrett's Oesophagus: a Discrete Choice Experiment.

Authors:  Norma B Bulamu; Gang Chen; Tim Bright; Julie Ratcliffe; Adrian Chung; Robert J L Fraser; Björn Törnqvist; David I Watson
Journal:  J Gastrointest Surg       Date:  2018-11-26       Impact factor: 3.452

2.  Attributes Used for Cancer Screening Discrete Choice Experiments: A Systematic Review.

Authors:  Rebekah Hall; Antonieta Medina-Lara; Willie Hamilton; Anne E Spencer
Journal:  Patient       Date:  2021-10-21       Impact factor: 3.883

Review 3.  Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review.

Authors:  Daksh Choudhary; Megan Thomas; Kevin Pacheco-Barrios; Yuan Zhang; Pablo Alonso-Coello; Holger Schünemann; Glen Hazlewood
Journal:  Patient       Date:  2022-07-13       Impact factor: 3.481

Review 4.  Patient Preference Studies for Advanced Prostate Cancer Treatment Along the Medical Product Life Cycle: Systematic Literature Review.

Authors:  Dominik Menges; Michela C Piatti; Thomas Cerny; Milo A Puhan
Journal:  Patient Prefer Adherence       Date:  2022-06-28       Impact factor: 2.314

5.  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

6.  Older adults' preferences for colorectal cancer-screening test attributes and test choice.

Authors:  Christine E Kistler; Thomas M Hess; Kirsten Howard; Michael P Pignone; Trisha M Crutchfield; Sarah T Hawley; Alison T Brenner; Kimberly T Ward; Carmen L Lewis
Journal:  Patient Prefer Adherence       Date:  2015-07-15       Impact factor: 2.711

7.  Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina.

Authors:  Michael P Pignone; Trisha M Crutchfield; Paul M Brown; Sarah T Hawley; Jane L Laping; Carmen L Lewis; Kristen Hassmiller Lich; Lisa C Richardson; Florence Kl Tangka; Stephanie B Wheeler
Journal:  BMC Health Serv Res       Date:  2014-11-30       Impact factor: 2.655

Review 8.  What matters to patients? A systematic review of preferences for medication-associated outcomes in mental disorders.

Authors:  Øystein Eiring; Brynjar Fowels Landmark; Endre Aas; Glenn Salkeld; Magne Nylenna; Kari Nytrøen
Journal:  BMJ Open       Date:  2015-04-08       Impact factor: 2.692

9.  Methods to perform systematic reviews of patient preferences: a literature survey.

Authors:  Tsung Yu; Nomin Enkh-Amgalan; Ganchimeg Zorigt
Journal:  BMC Med Res Methodol       Date:  2017-12-11       Impact factor: 4.615

10.  Evaluating preferences for colorectal cancer screening in individuals under age 50 using the Analytic Hierarchy Process.

Authors:  Travis Hyams; Bruce Golden; John Sammarco; Shahnaz Sultan; Evelyn King-Marshall; Min Qi Wang; Barbara Curbow
Journal:  BMC Health Serv Res       Date:  2021-07-29       Impact factor: 2.655

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