Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting
Background: Advanced treatment options for non-small cell lung cancer (NSCLC) consist of immunotherapy, chemotherapy, or a combination of both. Decisions surrounding NSCLC can be considered as preference-sensitive because multiple treatments exist that vary in terms of mode of administration, treatm...
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Frontiers Media S.A.
2021-08-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2021.689114/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dario Monzani Dario Monzani Serena Petrocchi Serena Oliveri Jorien Veldwijk Jorien Veldwijk Jorien Veldwijk Rosanne Janssens Luca Bailo Meredith Y. Smith Meredith Y. Smith Ian Smith Elise Schoefs Kristiaan Nackaerts Marie Vandevelde Evelyne Louis Herbert Decaluwé Paul De Leyn Hanne Declerck Eva G. Katz Francesco Petrella Monica Casiraghi Ilaria Durosini Giulia Galli Marina Chiara Garassino G. Ardine de Wit Gabriella Pravettoni Gabriella Pravettoni Isabelle Huys |
spellingShingle |
Dario Monzani Dario Monzani Serena Petrocchi Serena Oliveri Jorien Veldwijk Jorien Veldwijk Jorien Veldwijk Rosanne Janssens Luca Bailo Meredith Y. Smith Meredith Y. Smith Ian Smith Elise Schoefs Kristiaan Nackaerts Marie Vandevelde Evelyne Louis Herbert Decaluwé Paul De Leyn Hanne Declerck Eva G. Katz Francesco Petrella Monica Casiraghi Ilaria Durosini Giulia Galli Marina Chiara Garassino G. Ardine de Wit Gabriella Pravettoni Gabriella Pravettoni Isabelle Huys Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting Frontiers in Medicine non-small cell lung cancer patient preference discrete choice experiment swing weighting educational tool health literacy |
author_facet |
Dario Monzani Dario Monzani Serena Petrocchi Serena Oliveri Jorien Veldwijk Jorien Veldwijk Jorien Veldwijk Rosanne Janssens Luca Bailo Meredith Y. Smith Meredith Y. Smith Ian Smith Elise Schoefs Kristiaan Nackaerts Marie Vandevelde Evelyne Louis Herbert Decaluwé Paul De Leyn Hanne Declerck Eva G. Katz Francesco Petrella Monica Casiraghi Ilaria Durosini Giulia Galli Marina Chiara Garassino G. Ardine de Wit Gabriella Pravettoni Gabriella Pravettoni Isabelle Huys |
author_sort |
Dario Monzani |
title |
Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting |
title_short |
Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting |
title_full |
Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting |
title_fullStr |
Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting |
title_full_unstemmed |
Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting |
title_sort |
patient preferences for lung cancer treatments: a study protocol for a preference survey using discrete choice experiment and swing weighting |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Medicine |
issn |
2296-858X |
publishDate |
2021-08-01 |
description |
Background: Advanced treatment options for non-small cell lung cancer (NSCLC) consist of immunotherapy, chemotherapy, or a combination of both. Decisions surrounding NSCLC can be considered as preference-sensitive because multiple treatments exist that vary in terms of mode of administration, treatment schedules, and benefit–risk profiles. As part of the IMI PREFER project, we developed a protocol for an online preference survey for NSCLC patients exploring differences in preferences according to patient characteristics (preference heterogeneity). Moreover, this study will evaluate and compare the use of two different preference elicitation methods, the discrete choice experiment (DCE) and the swing weighting (SW) task. Finally, the study explores how demographic (i.e., age, gender, and educational level) and clinical (i.e., cancer stage and line of treatment) information, health literacy, health locus of control, and quality of life may influence or explain patient preferences and the usefulness of a digital interactive tool in providing information on preference elicitation tasks according to patients.Methods: An online survey will be implemented with the aim to recruit 510 NSCLC patients in Belgium and Italy. Participants will be randomized 50:50 to first receive either the DCE or the SW. The survey will also collect information on participants' disease-related status, health locus of control, health literacy, quality of life, and perception of the educational tool.Discussion: This protocol outlines methodological and practical steps to quantitatively elicit and study patient preferences for NSCLC treatment alternatives. Results from this study will increase the understanding of which treatment aspects are most valued by NSCLC patients to inform decision-making in drug development, regulatory approval, and reimbursement. Methodologically, the comparison between the DCE and the SW task will be valuable to gain information on how these preference methods perform against each other in eliciting patient preferences. Overall, this protocol may assist researchers, drug developers, and decision-makers in designing quantitative patient preferences into decision-making along the medical product life cycle. |
topic |
non-small cell lung cancer patient preference discrete choice experiment swing weighting educational tool health literacy |
url |
https://www.frontiersin.org/articles/10.3389/fmed.2021.689114/full |
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doaj-8a8f09921cf348e78d9ac348bbe99cf92021-08-02T06:34:21ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-08-01810.3389/fmed.2021.689114689114Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing WeightingDario Monzani0Dario Monzani1Serena Petrocchi2Serena Oliveri3Jorien Veldwijk4Jorien Veldwijk5Jorien Veldwijk6Rosanne Janssens7Luca Bailo8Meredith Y. Smith9Meredith Y. Smith10Ian Smith11Elise Schoefs12Kristiaan Nackaerts13Marie Vandevelde14Evelyne Louis15Herbert Decaluwé16Paul De Leyn17Hanne Declerck18Eva G. Katz19Francesco Petrella20Monica Casiraghi21Ilaria Durosini22Giulia Galli23Marina Chiara Garassino24G. Ardine de Wit25Gabriella Pravettoni26Gabriella Pravettoni27Isabelle Huys28Applied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, ItalyDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, ItalyApplied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, ItalyApplied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, ItalyErasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, NetherlandsErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, NetherlandsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, BelgiumApplied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, ItalyAlexion Pharmaceuticals, Inc., Boston, MA, United StatesUniversity of Southern California School of Pharmacy, Los Angeles, CA, United StatesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, BelgiumDepartment of Respiratory Oncology, University Hospital Leuven, Leuven, BelgiumDepartment of Respiratory Oncology, University Hospital Leuven, Leuven, BelgiumDepartment of Respiratory Oncology, University Hospital Leuven, Leuven, Belgium0Department of Thoracic Surgery, KU Leuven, Leuven, Belgium0Department of Thoracic Surgery, KU Leuven, Leuven, Belgium0Department of Thoracic Surgery, KU Leuven, Leuven, Belgium1Janssen Research and Development, LLC, Raritan, NJ, United States2Thoracic Surgery Division, IEO, European Institute of Oncology IRCCS, Milan, Italy2Thoracic Surgery Division, IEO, European Institute of Oncology IRCCS, Milan, ItalyApplied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, Italy3Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy4University of Chicago Department of Medicine Section Hematology/Oncology, Chicago, IL, United StatesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsApplied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, ItalyDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, ItalyDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, BelgiumBackground: Advanced treatment options for non-small cell lung cancer (NSCLC) consist of immunotherapy, chemotherapy, or a combination of both. Decisions surrounding NSCLC can be considered as preference-sensitive because multiple treatments exist that vary in terms of mode of administration, treatment schedules, and benefit–risk profiles. As part of the IMI PREFER project, we developed a protocol for an online preference survey for NSCLC patients exploring differences in preferences according to patient characteristics (preference heterogeneity). Moreover, this study will evaluate and compare the use of two different preference elicitation methods, the discrete choice experiment (DCE) and the swing weighting (SW) task. Finally, the study explores how demographic (i.e., age, gender, and educational level) and clinical (i.e., cancer stage and line of treatment) information, health literacy, health locus of control, and quality of life may influence or explain patient preferences and the usefulness of a digital interactive tool in providing information on preference elicitation tasks according to patients.Methods: An online survey will be implemented with the aim to recruit 510 NSCLC patients in Belgium and Italy. Participants will be randomized 50:50 to first receive either the DCE or the SW. The survey will also collect information on participants' disease-related status, health locus of control, health literacy, quality of life, and perception of the educational tool.Discussion: This protocol outlines methodological and practical steps to quantitatively elicit and study patient preferences for NSCLC treatment alternatives. Results from this study will increase the understanding of which treatment aspects are most valued by NSCLC patients to inform decision-making in drug development, regulatory approval, and reimbursement. Methodologically, the comparison between the DCE and the SW task will be valuable to gain information on how these preference methods perform against each other in eliciting patient preferences. Overall, this protocol may assist researchers, drug developers, and decision-makers in designing quantitative patient preferences into decision-making along the medical product life cycle.https://www.frontiersin.org/articles/10.3389/fmed.2021.689114/fullnon-small cell lung cancerpatient preferencediscrete choice experimentswing weightingeducational toolhealth literacy |