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Discrete choice experiments identifying attributes influencing treatment preference in mild asthma

Christina Baggott, Jo Hardy, Helen Reddel, Jenny Sparks, Doñah Sabbagh, Saras Mane, Mark Holliday, Robert J Hancox, Paul Hansen, Richard Beasley, James Fingleton
European Respiratory Journal 2019 54: PA4189; DOI: 10.1183/13993003.congress-2019.PA4189
Christina Baggott
1Medical Research Institute of New Zealand, Wellington, New Zealand
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  • For correspondence: christina.baggott@mrinz.ac.nz
Jo Hardy
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Helen Reddel
2Woolcock Institute of Medical Research, Sydney, Australia
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Jenny Sparks
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Doñah Sabbagh
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Saras Mane
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Mark Holliday
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Robert J Hancox
3Department of Preventative and Social Medicine, University of Otago, Dunedin, New Zealand
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Paul Hansen
4Department of Economics, University of Otago, Dunedin, New Zealand
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Richard Beasley
1Medical Research Institute of New Zealand, Wellington, New Zealand
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James Fingleton
1Medical Research Institute of New Zealand, Wellington, New Zealand
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Abstract

Introduction: Knowledge of patient priorities is important to select appropriate treatment. Discrete choice experiment (DCE) methodology involves making trade-offs which indicate patients’ preferences.

Aim: To determine the relative importance to participants in the PRACTICAL study, a 12-month open-label RCT of symptom-driven budesonide-formoterol versus regular budesonide plus as-needed terbutaline, of attributes distinguishing these regimens.

Methods: Regimen attributes were identified using focus groups. Participants finishing the PRACTICAL study after 26 March 2018 at 6/14 sites completed one of two DCEs based on their stated preference for as-needed combined preventer/reliever therapy or regular preventer and as needed reliever. 1000minds software and the PAPRIKA method were used for the DCEs.

Results: The DCEs were completed by 296 of 407 (73%) eligible participants. Figure 1 shows preference weights representing the relative importance of the attributes in the DCEs. Frequency of breathlessness had a stronger influence on choice than risk of flare up, type of regimen or steroid dose. Within each DCE, attribute weights were not affected by the patient’s randomisation group.

Conclusions: In these DCEs, participant’s preferences were influenced by several attributes in addition to as-needed versus regular treatment. The relative importance of such attributes should be considered during shared decision-making with patients.

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  • Asthma - management
  • Personalised medicine
  • RCT (Randomized Controlled Trial)

Footnotes

Cite this article as: European Respiratory Journal 2019; 54: Suppl. 63, PA4189.

This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).

  • Copyright ©the authors 2019
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Discrete choice experiments identifying attributes influencing treatment preference in mild asthma
Christina Baggott, Jo Hardy, Helen Reddel, Jenny Sparks, Doñah Sabbagh, Saras Mane, Mark Holliday, Robert J Hancox, Paul Hansen, Richard Beasley, James Fingleton
European Respiratory Journal Sep 2019, 54 (suppl 63) PA4189; DOI: 10.1183/13993003.congress-2019.PA4189

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Discrete choice experiments identifying attributes influencing treatment preference in mild asthma
Christina Baggott, Jo Hardy, Helen Reddel, Jenny Sparks, Doñah Sabbagh, Saras Mane, Mark Holliday, Robert J Hancox, Paul Hansen, Richard Beasley, James Fingleton
European Respiratory Journal Sep 2019, 54 (suppl 63) PA4189; DOI: 10.1183/13993003.congress-2019.PA4189
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