Literature DB >> 25618790

The Predictive Value of Discrete Choice Experiments in Public Health: An Exploratory Application.

Benjamin H Salampessy1, Jorien Veldwijk2,3, A Jantine Schuit1,4, Karolien van den Brekel-Dijkstra5, Rabin E J Neslo6, G Ardine de Wit1,6, Mattijs S Lambooij1.   

Abstract

OBJECTIVE: The objective of this study was to assess the predictive value of a discrete choice experiment (DCE) in public health by comparing stated preferences to actual behavior.
METHODS: 780 Type 2 diabetes mellitus (T2DM) patients received a questionnaire, containing a DCE with five attributes related to T2DM patients' willingness to participate in a combined lifestyle intervention. Panel mixed-multinomial-logit models were used to estimate the stated preferences based on 206 completed DCE questionnaires. Actual participation status was retrieved for 54 respondents based on patients' medical records and a second questionnaire. Predicted and actual behavior data were compared at population level and at individual level.
RESULTS: Based on the estimated utility function, 81.8% of all answers that individual respondents provided on the choice tasks were predicted correctly. The actual participation rate at the aggregated population level was minimally underestimated (70.1 vs. 75.9%). Of all individual choices, 74.1% were predicted correctly with a positive predictive value of 0.80 and a negative predictive value of 0.44.
CONCLUSION: Stated preferences derived from a DCE can adequately predict actual behavior in a public health setting.

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Year:  2015        PMID: 25618790      PMCID: PMC4662963          DOI: 10.1007/s40271-015-0115-2

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


  17 in total

Review 1.  Using discrete choice experiments to value health care programmes: current practice and future research reflections.

Authors:  Mandy Ryan; Karen Gerard
Journal:  Appl Health Econ Health Policy       Date:  2003       Impact factor: 2.561

2.  Effects coding in discrete choice experiments.

Authors:  Mickael Bech; Dorte Gyrd-Hansen
Journal:  Health Econ       Date:  2005-10       Impact factor: 3.046

3.  High agreement but low kappa: II. Resolving the paradoxes.

Authors:  D V Cicchetti; A R Feinstein
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

4.  High agreement but low kappa: I. The problems of two paradoxes.

Authors:  A R Feinstein; D V Cicchetti
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

5.  Diagnostic tests 2: Predictive values.

Authors:  D G Altman; J M Bland
Journal:  BMJ       Date:  1994-07-09

6.  Predicting the physical activity intention-behavior profiles of adopters and maintainers using three social cognition models.

Authors:  Ryan E Rhodes; Ronald C Plotnikoff; Kerry S Courneya
Journal:  Ann Behav Med       Date:  2008-12-05

7.  Conducting discrete choice experiments to inform healthcare decision making: a user's guide.

Authors:  Emily Lancsar; Jordan Louviere
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

8.  Barriers to physical activity in patients with diabetes.

Authors:  N Thomas; E Alder; G P Leese
Journal:  Postgrad Med J       Date:  2004-05       Impact factor: 2.401

9.  10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study.

Authors:  William C Knowler; Sarah E Fowler; Richard F Hamman; Costas A Christophi; Heather J Hoffman; Anne T Brenneman; Janet O Brown-Friday; Ronald Goldberg; Elizabeth Venditti; David M Nathan
Journal:  Lancet       Date:  2009-10-29       Impact factor: 79.321

10.  Factors associated with physical activity referral uptake and participation.

Authors:  David V B James; Lynne H Johnston; Diane Crone; Adrienne H Sidford; Chris Gidlow; Clare Morris; Charlie Foster
Journal:  J Sports Sci       Date:  2008-01-15       Impact factor: 3.337

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  24 in total

1.  Accounting for Scale Heterogeneity in Healthcare-Related Discrete Choice Experiments when Comparing Stated Preferences: A Systematic Review.

Authors:  Stuart J Wright; Caroline M Vass; Gene Sim; Michael Burton; Denzil G Fiebig; Katherine Payne
Journal:  Patient       Date:  2018-10       Impact factor: 3.883

2.  Preferences for Health Interventions: Improving Uptake, Adherence, and Efficiency.

Authors:  Jan Ostermann; Derek S Brown; Esther W de Bekker-Grob; Axel C Mühlbacher; Shelby D Reed
Journal:  Patient       Date:  2017-08       Impact factor: 3.883

3.  Women's Preferences for Birthing Hospital in Denmark: A Discrete Choice Experiment.

Authors:  Nasrin Tayyari Dehbarez; Morten Raun Mørkbak; Dorte Gyrd-Hansen; Niels Uldbjerg; Rikke Søgaard
Journal:  Patient       Date:  2018-12       Impact factor: 3.883

4.  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

5.  Preferences for ARV-based HIV prevention methods among men and women, adolescent girls and female sex workers in Gauteng Province, South Africa: a protocol for a discrete choice experiment.

Authors:  Matthew Quaife; Robyn Eakle; Maria Cabrera; Peter Vickerman; Motlalepule Tsepe; Fiona Cianci; Sinead Delany-Moretlwe; Fern Terris-Prestholt
Journal:  BMJ Open       Date:  2016-06-27       Impact factor: 2.692

6.  Who Wants Long-Term Care Insurance? A Stated Preference Survey of Attitudes, Beliefs, and Characteristics.

Authors:  Benjamin T Allaire; Derek S Brown; Joshua M Wiener
Journal:  Inquiry       Date:  2016-08-16       Impact factor: 1.730

Review 7.  Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review.

Authors:  Kabindra Regmi; Dinesh Kaphle; Sabina Timilsina; Nik Annie Afiqah Tuha
Journal:  Pharmacoecon Open       Date:  2018-03

8.  Quantified patient preferences for lifestyle intervention programs for diabetes prevention-a protocol for a systematic review.

Authors:  Charalabos-Markos Dintsios; Nadja Chernyak; Benjamin Grehl; Andrea Icks
Journal:  Syst Rev       Date:  2018-11-29

9.  Parameterising User Uptake in Economic Evaluations: The role of discrete choice experiments.

Authors:  Fern Terris-Prestholt; Matthew Quaife; Peter Vickerman
Journal:  Health Econ       Date:  2016-01-15       Impact factor: 3.046

10.  Financial incentives to discontinue long-term benzodiazepine use: a discrete choice experiment investigating patient preferences and willingness to participate.

Authors:  Joachim Marti; Marcus Bachhuber; Jordyn Feingold; David Meads; Michael Richards; Sean Hennessy
Journal:  BMJ Open       Date:  2017-10-06       Impact factor: 2.692

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