Literature DB >> 21766893

Patient preferences for treatment of achilles tendon pain: results from a discrete-choice experiment.

Kent R Sweeting1, Jennifer A Whitty, Paul A Scuffham, Michael J Yelland.   

Abstract

BACKGROUND: Discrete-choice experiments are based on the premise that any good or service can be described by its characteristics (or attributes), and the extent to which an individual values a good or service depends on the levels of these characteristics. Little is known about patient preferences for treatment of chronic musculoskeletal pain such as Achilles tendinopathy.
METHODS: A discrete-choice experiment was conducted in 58 adults with a history of Achilles tendon pain at the conclusion of a three-arm randomized clinical trial. Participants were asked to complete a questionnaire consisting of ten hypothetical treatment scenarios and some sociodemographic questions. For each scenario, participants were asked to choose which option they would prefer if seeking treatment for their painful Achilles tendon. A mixed logit model was estimated to quantify subject preferences and marginal willingness to pay for the treatment attributes.
RESULTS: A response rate of 62% was achieved. A significant positive impact on utility was observed for chance of treatment success. A significant negative impact on utility was observed for cost, weeks before exercise can be completed free of pain, chance of side effects (p = 0.06), and injections as a stand-alone treatment. Respondents were willing to pay Australian dollars ($A)238 (95% CI -312, 788) for a 10% increase in the chance of treatment success.
CONCLUSIONS: Study participants with Achilles tendon pain who had either participated or expressed an interest in participating in a randomized trial prefer a treatment that costs less, has a greater chance of success, has a shorter duration before being able to exercise free of pain, and has less likelihood of side effects. On average, participants preferred exercises over injections as a stand-alone treatment. Further research is required to confirm the findings in patients outside of the trial setting. Nevertheless, this study contributes to an area that is deficient in research by identifying priorities and marginal willingness to pay for attributes related to Achilles tendinopathy.

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Year:  2011        PMID: 21766893     DOI: 10.2165/11532830-000000000-00000

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


  20 in total

1.  Measuring preferences for health care interventions using conjoint analysis: an application to HIV testing.

Authors:  Kathryn A Phillips; Tara Maddala; F Reed Johnson
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

Review 2.  Using discrete choice experiments to value health care programmes: current practice and future research reflections.

Authors:  Mandy Ryan; Karen Gerard
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3.  What influences participation in genetic carrier testing? Results from a discrete choice experiment.

Authors:  Jane Hall; Denzil G Fiebig; Madeleine T King; Ishrat Hossain; Jordan J Louviere
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4.  Using discrete choice experiments to go beyond clinical outcomes when evaluating clinical practice.

Authors:  Mandy Ryan; Kirsten Major; Diane Skåtun
Journal:  J Eval Clin Pract       Date:  2005-08       Impact factor: 2.431

5.  Ratio estimates, the delta method, and quantal response tests for increased carcinogenicity.

Authors:  G S Bieler; R L Williams
Journal:  Biometrics       Date:  1993-09       Impact factor: 2.571

6.  Modeling valuations for EuroQol health states.

Authors:  P Dolan
Journal:  Med Care       Date:  1997-11       Impact factor: 2.983

7.  Eccentric rehabilitation exercise increases peritendinous type I collagen synthesis in humans with Achilles tendinosis.

Authors:  H Langberg; H Ellingsgaard; T Madsen; J Jansson; S P Magnusson; P Aagaard; M Kjaer
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Review 8.  A treatment algorithm for managing Achilles tendinopathy: new treatment options.

Authors:  Håkan Alfredson; J Cook
Journal:  Br J Sports Med       Date:  2007-02-20       Impact factor: 13.800

9.  Patient preferences for managing asthma: results from a discrete choice experiment.

Authors:  Madeleine T King; Jane Hall; Emily Lancsar; Denzil Fiebig; Ishrat Hossain; Jordan Louviere; Helen K Reddel; Christine R Jenkins
Journal:  Health Econ       Date:  2007-07       Impact factor: 3.046

10.  Does attribute framing in discrete choice experiments influence willingness to pay? Results from a discrete choice experiment in screening for colorectal cancer.

Authors:  Kirsten Howard; Glenn Salkeld
Journal:  Value Health       Date:  2008-07-24       Impact factor: 5.725

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  6 in total

Review 1.  A descriptive review on methods to prioritize outcomes in a health care context.

Authors:  Inger M Janssen; Ansgar Gerhardus; Milly A Schröer-Günther; Fülöp Scheibler
Journal:  Health Expect       Date:  2014-08-25       Impact factor: 3.377

Review 2.  Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Authors:  Mark Harrison; Dan Rigby; Caroline Vass; Terry Flynn; Jordan Louviere; Katherine Payne
Journal:  Patient       Date:  2014       Impact factor: 3.883

3.  Patients' use of physical therapy for lower back pain: A qualitative study.

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Review 4.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Michael D Clark; Domino Determann; Stavros Petrou; Domenico Moro; Esther W de Bekker-Grob
Journal:  Pharmacoeconomics       Date:  2014-09       Impact factor: 4.981

5.  A Physical Therapy Mobility Checkup for Older Adults: Feasibility and Participant Preferences From a Discrete Choice Experiment.

Authors:  Dalerie Lieberz; Hannah Borgeson; Steven Dobson; Lindsey Ewings; Karen Johnson; Kori Klaysmat; Abby Schultz; Rachel Tasson; Alexandra L Borstad
Journal:  J Patient Cent Res Rev       Date:  2022-01-17

6.  Acupuncture or low frequency infrared treatment for low back pain in Chinese patients: a discrete choice experiment.

Authors:  Li-Chia Chen; Li-Jen Cheng; Yan Zhang; Xin He; Roger D Knaggs
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

  6 in total

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