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Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors

INTRODUCTION: Alzheimer’s disease (AD) is a chronic neurodegenerative disorder associated with a high burden of illness. New therapies under development include agents that target amyloid-beta (Aβ), a key component in AD pathogenesis. Understanding the decision-making process for new AD drugs would...

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Autores principales: Dranitsaris, George, Zhang, Quanwu, Quill, Alex, Mu, Lin, Weyrer, Christopher, Dysdale, Erik, Neumann, Peter, Tahami Monfared, Amir Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837350/
https://www.ncbi.nlm.nih.gov/pubmed/36422822
http://dx.doi.org/10.1007/s40120-022-00423-y
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author Dranitsaris, George
Zhang, Quanwu
Quill, Alex
Mu, Lin
Weyrer, Christopher
Dysdale, Erik
Neumann, Peter
Tahami Monfared, Amir Abbas
author_facet Dranitsaris, George
Zhang, Quanwu
Quill, Alex
Mu, Lin
Weyrer, Christopher
Dysdale, Erik
Neumann, Peter
Tahami Monfared, Amir Abbas
author_sort Dranitsaris, George
collection PubMed
description INTRODUCTION: Alzheimer’s disease (AD) is a chronic neurodegenerative disorder associated with a high burden of illness. New therapies under development include agents that target amyloid-beta (Aβ), a key component in AD pathogenesis. Understanding the decision-making process for new AD drugs would help determine if such therapies should be adopted by society. Multicriteria decision analysis (MCDA) was applied to three key stakeholder groups to assess treatment alternatives for AD based on a multitude of decision trade-offs covering main components of care. METHODS: AD caregivers (n = 117), neurologists (n = 90), and payors (n = 90) from the USA received an online survey. The decision problem was broken down into four decision criterion and 12 subcriteria for two treatment scenarios: an Aβ-targeted therapy vs. the standard of care (SOC). Respondents were asked to indicate how much they preferred one option over another on a scale from 1 (equal preference) to 9 (high preference) based on each criterion and subcriterion. The decision criteria and subcriteria were weighted and presented as partial utility scores (pUS), with higher scores suggesting an increased preference for that decision-making component. RESULTS: Caregivers and payors applied the highest value to need for intervention (mean pUS = 0.303 and 0.259) and clinical outcomes (mean pUS = 0.286 and 0.377). In contrast, neurologists placed the highest value on clinical outcomes and types of benefits (mean pUS = 0.436 and 0.248). When decision subcriteria were examined, efficacy (mean pUS = 0.115, 0.219, and 0.166) and the type of patient benefits (mean pUS = 0.135, 0.178, and 0.126) were among the most valued by caregivers, neurologists, and payors. CONCLUSION: All groups placed the highest value on drug efficacy and types of benefit derived by patients. In contrast, cost implications were among the least important aspects in their decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-022-00423-y.
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spelling pubmed-98373502023-02-08 Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors Dranitsaris, George Zhang, Quanwu Quill, Alex Mu, Lin Weyrer, Christopher Dysdale, Erik Neumann, Peter Tahami Monfared, Amir Abbas Neurol Ther Original Research INTRODUCTION: Alzheimer’s disease (AD) is a chronic neurodegenerative disorder associated with a high burden of illness. New therapies under development include agents that target amyloid-beta (Aβ), a key component in AD pathogenesis. Understanding the decision-making process for new AD drugs would help determine if such therapies should be adopted by society. Multicriteria decision analysis (MCDA) was applied to three key stakeholder groups to assess treatment alternatives for AD based on a multitude of decision trade-offs covering main components of care. METHODS: AD caregivers (n = 117), neurologists (n = 90), and payors (n = 90) from the USA received an online survey. The decision problem was broken down into four decision criterion and 12 subcriteria for two treatment scenarios: an Aβ-targeted therapy vs. the standard of care (SOC). Respondents were asked to indicate how much they preferred one option over another on a scale from 1 (equal preference) to 9 (high preference) based on each criterion and subcriterion. The decision criteria and subcriteria were weighted and presented as partial utility scores (pUS), with higher scores suggesting an increased preference for that decision-making component. RESULTS: Caregivers and payors applied the highest value to need for intervention (mean pUS = 0.303 and 0.259) and clinical outcomes (mean pUS = 0.286 and 0.377). In contrast, neurologists placed the highest value on clinical outcomes and types of benefits (mean pUS = 0.436 and 0.248). When decision subcriteria were examined, efficacy (mean pUS = 0.115, 0.219, and 0.166) and the type of patient benefits (mean pUS = 0.135, 0.178, and 0.126) were among the most valued by caregivers, neurologists, and payors. CONCLUSION: All groups placed the highest value on drug efficacy and types of benefit derived by patients. In contrast, cost implications were among the least important aspects in their decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-022-00423-y. Springer Healthcare 2022-11-23 /pmc/articles/PMC9837350/ /pubmed/36422822 http://dx.doi.org/10.1007/s40120-022-00423-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Dranitsaris, George
Zhang, Quanwu
Quill, Alex
Mu, Lin
Weyrer, Christopher
Dysdale, Erik
Neumann, Peter
Tahami Monfared, Amir Abbas
Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title_full Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title_fullStr Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title_full_unstemmed Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title_short Treatment Preference for Alzheimer’s Disease: A Multicriteria Decision Analysis with Caregivers, Neurologists, and Payors
title_sort treatment preference for alzheimer’s disease: a multicriteria decision analysis with caregivers, neurologists, and payors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837350/
https://www.ncbi.nlm.nih.gov/pubmed/36422822
http://dx.doi.org/10.1007/s40120-022-00423-y
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