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A discrete-choice experiment to assess patients’ preferences for osteoarthritis treatment: an ESCEO working group

A discrete-choice experiment to assess patients’ preferences for osteoarthritis treatment: an ESCEO working group
A discrete-choice experiment to assess patients’ preferences for osteoarthritis treatment: an ESCEO working group
Objective: to evaluate the preferences of patients with osteoarthritis for treatment.

Methods: a discrete-choice experiment was conducted among adult OA patients who were presented with 12 choice sets of two treatment options and asked in each to select the treatment they would prefer. Based on literature reviews, expert consultation, patient survey and expert meeting, treatment options were characterized by seven attributes: improvement in pain, improvement in walking, ability to manage domestic activities, ability to manage social activities, improvement in overall energy and well-being, risk of moderate/severe side effects and impact on disease progression. Random parameters logit model was used to estimate patients’ preferences and a latent class model was conducted to explore preferences classes.

Results: 253 OA patients from seven European countries were included (74% women; mean age 71.3 years). For all seven treatment attributes, significant differences were observed between levels. Given the range of levels of each attribute, the most important treatment attribute in this group was impact on disease progression (29.5%) followed by walking improvement (17.1%) and pain improvement (16.3%). The latent class model identified two preference classes. In the first class (probability of 56%), patients valued impact of disease progression the most (39%). In the second class, walking improvement and improvement in overall energy and well-being were the most important (23%).

Conclusion: this study suggests that all seven treatment attributes were important for OA patients. Overall, given the range of levels, the most important outcomes were impact on disease progression and improvement in pain and walking.
Discrete-choice experiment, Osteoarthritis, Outcomes, Patient preferences
0049-0172
859-866
Hiligsmann, Mickaël
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Dennison, Elaine
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Beaudart, Charlotte
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Herrero-Beaumont, Gabriel
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Branco, Jaime
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Bruyère, Olivier
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Conaghan, P. G.
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Cooper, Cyrus
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Al-Daghri, Nasser M.
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Jiwa, Famida
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Lems, Willem
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Pinto, Daniel
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Rizzoli, Rene
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Thomas, Thierry
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Uebelhart, Daniel
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Veronese, Nicola
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Reginster, Jean-Yves
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Hiligsmann, Mickaël
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Dennison, Elaine
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Beaudart, Charlotte
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Herrero-Beaumont, Gabriel
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Branco, Jaime
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Bruyère, Olivier
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Conaghan, P. G.
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Cooper, Cyrus
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Al-Daghri, Nasser M.
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Jiwa, Famida
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Lems, Willem
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Pinto, Daniel
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Rizzoli, Rene
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Thomas, Thierry
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Uebelhart, Daniel
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Veronese, Nicola
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Reginster, Jean-Yves
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Hiligsmann, Mickaël, Dennison, Elaine, Beaudart, Charlotte, Herrero-Beaumont, Gabriel, Branco, Jaime, Bruyère, Olivier, Conaghan, P. G., Cooper, Cyrus, Al-Daghri, Nasser M., Jiwa, Famida, Lems, Willem, Pinto, Daniel, Rizzoli, Rene, Thomas, Thierry, Uebelhart, Daniel, Veronese, Nicola and Reginster, Jean-Yves (2020) A discrete-choice experiment to assess patients’ preferences for osteoarthritis treatment: an ESCEO working group. Seminars in Arthritis and Rheumatism, 50 (5), 859-866. (doi:10.1016/j.semarthrit.2020.08.005). (In Press)

Record type: Article

Abstract

Objective: to evaluate the preferences of patients with osteoarthritis for treatment.

Methods: a discrete-choice experiment was conducted among adult OA patients who were presented with 12 choice sets of two treatment options and asked in each to select the treatment they would prefer. Based on literature reviews, expert consultation, patient survey and expert meeting, treatment options were characterized by seven attributes: improvement in pain, improvement in walking, ability to manage domestic activities, ability to manage social activities, improvement in overall energy and well-being, risk of moderate/severe side effects and impact on disease progression. Random parameters logit model was used to estimate patients’ preferences and a latent class model was conducted to explore preferences classes.

Results: 253 OA patients from seven European countries were included (74% women; mean age 71.3 years). For all seven treatment attributes, significant differences were observed between levels. Given the range of levels of each attribute, the most important treatment attribute in this group was impact on disease progression (29.5%) followed by walking improvement (17.1%) and pain improvement (16.3%). The latent class model identified two preference classes. In the first class (probability of 56%), patients valued impact of disease progression the most (39%). In the second class, walking improvement and improvement in overall energy and well-being were the most important (23%).

Conclusion: this study suggests that all seven treatment attributes were important for OA patients. Overall, given the range of levels, the most important outcomes were impact on disease progression and improvement in pain and walking.

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Accepted/In Press date: 1 August 2020
Keywords: Discrete-choice experiment, Osteoarthritis, Outcomes, Patient preferences

Identifiers

Local EPrints ID: 443939
URI: http://eprints.soton.ac.uk/id/eprint/443939
ISSN: 0049-0172
PURE UUID: 9098a797-4ad0-45f6-8a92-8b1b5f6484d2
ORCID for Elaine Dennison: ORCID iD orcid.org/0000-0002-3048-4961
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709

Catalogue record

Date deposited: 17 Sep 2020 16:34
Last modified: 18 Feb 2021 16:48

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Contributors

Author: Mickaël Hiligsmann
Author: Elaine Dennison ORCID iD
Author: Charlotte Beaudart
Author: Gabriel Herrero-Beaumont
Author: Jaime Branco
Author: Olivier Bruyère
Author: P. G. Conaghan
Author: Cyrus Cooper ORCID iD
Author: Nasser M. Al-Daghri
Author: Famida Jiwa
Author: Willem Lems
Author: Daniel Pinto
Author: Rene Rizzoli
Author: Thierry Thomas
Author: Daniel Uebelhart
Author: Nicola Veronese
Author: Jean-Yves Reginster

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