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Open Access

Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment

Nick Bansback, Logan Trenaman, Brendan J. Mulhern, Richard Norman, Rebecca Metcalfe, Richard Sawatzky, John E. Brazier, Donna Rowen and David G.T. Whitehurst
July 05, 2022 10 (3) E589-E598; DOI: https://doi.org/10.9778/cmajo.20210113
Nick Bansback
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Logan Trenaman
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Brendan J. Mulhern
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Richard Norman
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Rebecca Metcalfe
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Richard Sawatzky
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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John E. Brazier
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Donna Rowen
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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David G.T. Whitehurst
School of Population and Public Health (Bansback), University of British Columbia; Centre for Health Evaluation and Outcome Sciences (Bansback, Trenaman, Metcalfe, Sawatzky), Vancouver, BC; Centre for Health Economics Research and Evaluation (Mulhern), University of Technology Sydney, Sydney, New South Wales, Australia; School of Health and Related Research (Mulhern, Brazier, Rowen), University of Sheffield, Sheffield, UK; School of Public Health (Norman), Curtin University, Perth, Western Australia, Australia; School of Nursing (Sawatzky), Trinity Western University, Langley, BC; Faculty of Health Sciences (Whitehurst), Simon Fraser University, Burnaby, BC
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Data supplements

  • Online appendices

    • Appendix 1: Supplementary information about the development of the discrete choice experiment (DCE) task, pilot testing and methods of analysis
    • Appendix 2: VR-12 items and response options used in the classification system, and the corresponding attributes and levels used in the DCE
    • Appendix 3: Copy of English version of survey
    • Reviewer comments
    • Original submission
    • CHERRIES checklist

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CMAJ Open: 10 (3)
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Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment
Nick Bansback, Logan Trenaman, Brendan J. Mulhern, Richard Norman, Rebecca Metcalfe, Richard Sawatzky, John E. Brazier, Donna Rowen, David G.T. Whitehurst
Jul 2022, 10 (3) E589-E598; DOI: 10.9778/cmajo.20210113

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Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment
Nick Bansback, Logan Trenaman, Brendan J. Mulhern, Richard Norman, Rebecca Metcalfe, Richard Sawatzky, John E. Brazier, Donna Rowen, David G.T. Whitehurst
Jul 2022, 10 (3) E589-E598; DOI: 10.9778/cmajo.20210113
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