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Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors

IMPORTANCE: The possibility of widespread use of a novel effective therapy for Alzheimer disease (AD) will present important clinical, policy, and financial challenges. OBJECTIVE: To describe how including different patient, caregiver, and societal treatment-related factors affects estimates of the...

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Autores principales: Ito, Kouta, Chapman, Rick, Pearson, Steven D., Tafazzoli, Ali, Yaffe, Kristine, Gurwitz, Jerry H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536950/
https://www.ncbi.nlm.nih.gov/pubmed/34677596
http://dx.doi.org/10.1001/jamanetworkopen.2021.29392
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author Ito, Kouta
Chapman, Rick
Pearson, Steven D.
Tafazzoli, Ali
Yaffe, Kristine
Gurwitz, Jerry H.
author_facet Ito, Kouta
Chapman, Rick
Pearson, Steven D.
Tafazzoli, Ali
Yaffe, Kristine
Gurwitz, Jerry H.
author_sort Ito, Kouta
collection PubMed
description IMPORTANCE: The possibility of widespread use of a novel effective therapy for Alzheimer disease (AD) will present important clinical, policy, and financial challenges. OBJECTIVE: To describe how including different patient, caregiver, and societal treatment-related factors affects estimates of the cost-effectiveness of a hypothetical disease-modifying AD treatment. DESIGN, SETTING, AND PARTICIPANTS: In this economic evaluation, the Alzheimer Disease Archimedes Condition Event Simulator was used to simulate the prognosis of a hypothetical cohort of patients selected from the Alzheimer Disease Neuroimaging Initiative database who received the diagnosis of mild cognitive impairment (MCI). Scenario analyses that varied costs and quality of life inputs relevant to patients and caregivers were conducted. The analysis was designed and conducted from June 15, 2019, to September 30, 2020. EXPOSURES: A hypothetical drug that would delay progression to dementia in individuals with MCI compared with usual care. MAIN OUTCOMES AND MEASURES: Incremental cost-effectiveness ratio (ICER), measured by cost per quality-adjusted life-year (QALY) gained. RESULTS: The model included a simulated cohort of patients who scored between 24 and 30 on the Mini-Mental State Examination and had a global Clinical Dementia Rating scale of 0.5, with a required memory box score of 0.5 or higher, at baseline. Using a health care sector perspective, which included only individual patient health care costs, the ICER for the hypothetical treatment was $192 000 per QALY gained. The result decreased to $183 000 per QALY gained in a traditional societal perspective analysis with the inclusion of patient non–health care costs. The inclusion of estimated caregiver health care costs produced almost no change in the ICER, but the inclusion of QALYs gained by caregivers led to a substantial reduction in the ICER for the hypothetical treatment, to $107 000 per QALY gained in the health sector perspective. In the societal perspective scenario, with the broadest inclusion of patient and caregiver factors, the ICER decreased to $74 000 per added QALY. CONCLUSIONS AND RELEVANCE: The findings of this economic evaluation suggest that policy makers should be aware that efforts to estimate and include the effects of AD treatments outside those on patients themselves can affect the results of the cost-effectiveness analyses that often underpin assessments of the value of new treatments. Further research and debate on including these factors in assessments that will inform discussions on fair pricing for new treatments are needed.
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spelling pubmed-85369502021-11-04 Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors Ito, Kouta Chapman, Rick Pearson, Steven D. Tafazzoli, Ali Yaffe, Kristine Gurwitz, Jerry H. JAMA Netw Open Original Investigation IMPORTANCE: The possibility of widespread use of a novel effective therapy for Alzheimer disease (AD) will present important clinical, policy, and financial challenges. OBJECTIVE: To describe how including different patient, caregiver, and societal treatment-related factors affects estimates of the cost-effectiveness of a hypothetical disease-modifying AD treatment. DESIGN, SETTING, AND PARTICIPANTS: In this economic evaluation, the Alzheimer Disease Archimedes Condition Event Simulator was used to simulate the prognosis of a hypothetical cohort of patients selected from the Alzheimer Disease Neuroimaging Initiative database who received the diagnosis of mild cognitive impairment (MCI). Scenario analyses that varied costs and quality of life inputs relevant to patients and caregivers were conducted. The analysis was designed and conducted from June 15, 2019, to September 30, 2020. EXPOSURES: A hypothetical drug that would delay progression to dementia in individuals with MCI compared with usual care. MAIN OUTCOMES AND MEASURES: Incremental cost-effectiveness ratio (ICER), measured by cost per quality-adjusted life-year (QALY) gained. RESULTS: The model included a simulated cohort of patients who scored between 24 and 30 on the Mini-Mental State Examination and had a global Clinical Dementia Rating scale of 0.5, with a required memory box score of 0.5 or higher, at baseline. Using a health care sector perspective, which included only individual patient health care costs, the ICER for the hypothetical treatment was $192 000 per QALY gained. The result decreased to $183 000 per QALY gained in a traditional societal perspective analysis with the inclusion of patient non–health care costs. The inclusion of estimated caregiver health care costs produced almost no change in the ICER, but the inclusion of QALYs gained by caregivers led to a substantial reduction in the ICER for the hypothetical treatment, to $107 000 per QALY gained in the health sector perspective. In the societal perspective scenario, with the broadest inclusion of patient and caregiver factors, the ICER decreased to $74 000 per added QALY. CONCLUSIONS AND RELEVANCE: The findings of this economic evaluation suggest that policy makers should be aware that efforts to estimate and include the effects of AD treatments outside those on patients themselves can affect the results of the cost-effectiveness analyses that often underpin assessments of the value of new treatments. Further research and debate on including these factors in assessments that will inform discussions on fair pricing for new treatments are needed. American Medical Association 2021-10-22 /pmc/articles/PMC8536950/ /pubmed/34677596 http://dx.doi.org/10.1001/jamanetworkopen.2021.29392 Text en Copyright 2021 Ito K et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Ito, Kouta
Chapman, Rick
Pearson, Steven D.
Tafazzoli, Ali
Yaffe, Kristine
Gurwitz, Jerry H.
Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title_full Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title_fullStr Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title_full_unstemmed Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title_short Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors
title_sort evaluation of the cost-effectiveness of drug treatment for alzheimer disease in a simulation model that includes caregiver and societal factors
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536950/
https://www.ncbi.nlm.nih.gov/pubmed/34677596
http://dx.doi.org/10.1001/jamanetworkopen.2021.29392
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