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The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making
OBJECTIVE: We aimed to assess the feasibility of developing a discrete-choice experiment survey to elicit preferences for a treatment to delay cognitive decline among people with a clinical syndrome consistent with early Alzheimer’s disease, including the development of self-reported screening crite...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365745/ https://www.ncbi.nlm.nih.gov/pubmed/35435572 http://dx.doi.org/10.1007/s40271-022-00576-w |
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author | Mansfield, Carol Bullok, Kristin Fuhs, Jillian Venci Tockhorn-Heidenreich, Antje Andrews, J. Scott DiBenedetti, Dana Matthews, Brandy R. Darling, Joshua C. Sutphin, Jessie Hauber, Brett |
author_facet | Mansfield, Carol Bullok, Kristin Fuhs, Jillian Venci Tockhorn-Heidenreich, Antje Andrews, J. Scott DiBenedetti, Dana Matthews, Brandy R. Darling, Joshua C. Sutphin, Jessie Hauber, Brett |
author_sort | Mansfield, Carol |
collection | PubMed |
description | OBJECTIVE: We aimed to assess the feasibility of developing a discrete-choice experiment survey to elicit preferences for a treatment to delay cognitive decline among people with a clinical syndrome consistent with early Alzheimer’s disease, including the development of self-reported screening criteria to recruit the sample. METHODS: Using input from qualitative interviews, we developed a discrete-choice experiment survey containing a multifaceted beneficial treatment attribute related to slowing cognitive decline for respondents with self-reported cognitive concerns. In two rounds of in-person pretest interviews, we tested and revised the survey text and discrete-choice experiment questions, including examples, language, and levels associated with the Alzheimer’s Disease Assessment Scale-Cognitive Subscale, along with a set of de novo self-reported questions for identifying respondents who had neither too mild nor too advanced cognitive decline. Self-reported memory and thinking problems were compared with symptoms from studies of patients with early Alzheimer’s disease (e.g., mild cognitive impairment, mild Alzheimer’s disease) to determine whether those studies’ recruited patients were similar to our anticipated target population. Round 1 pretest interviews resulted in significant simplifications in the survey instrument, revisions to the inclusion and exclusion criteria, and revisions to the screening process. In round 2 of the pretest interviews, the ability of participants to provide consistent responses to the self-reported screening questions was further assessed. In addition, to evaluate participants’ ability to understand and independently complete the discrete-choice experiment survey, two interviewers independently evaluated each participant’s ability to make trade-offs in the discrete-choice experiment questions and to understand the content of the survey. RESULTS: Round 1 (15 pretest interviews) identified challenges with the survey instrument related to the complexity of the choice questions. The screening process did not screen out seven respondents with more advanced cognitive decline, as determined qualitatively by the interviewers and by these participants’ inability to complete the survey. The survey instrument and screening criteria were revised, and an initial online screener was added to the screening process before round 2 pretests. In round 2 pretests, 12 participants reported cognitive problems similar to the target population for the survey but were judged able to understand and independently complete the discrete-choice experiment survey. CONCLUSIONS: We developed self-reported screening criteria that identified a sample of individuals with memory and thinking concerns who were similar to individuals with clinical symptoms of early Alzheimer’s disease and who were able to independently complete a simplified discrete-choice experiment survey. Quantitative patient preference studies provide important information on patients’ willingness to trade off treatment benefits/risks. Adapting the technique for patients with cognitive decline requires careful testing and adjustments to survey instruments. This work suggests it is the severity of cognitive impairment, rather than its presence, that determines the ability to complete a simplified discrete-choice experiment survey. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00576-w. |
format | Online Article Text |
id | pubmed-9365745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93657452022-08-12 The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making Mansfield, Carol Bullok, Kristin Fuhs, Jillian Venci Tockhorn-Heidenreich, Antje Andrews, J. Scott DiBenedetti, Dana Matthews, Brandy R. Darling, Joshua C. Sutphin, Jessie Hauber, Brett Patient Original Research Article OBJECTIVE: We aimed to assess the feasibility of developing a discrete-choice experiment survey to elicit preferences for a treatment to delay cognitive decline among people with a clinical syndrome consistent with early Alzheimer’s disease, including the development of self-reported screening criteria to recruit the sample. METHODS: Using input from qualitative interviews, we developed a discrete-choice experiment survey containing a multifaceted beneficial treatment attribute related to slowing cognitive decline for respondents with self-reported cognitive concerns. In two rounds of in-person pretest interviews, we tested and revised the survey text and discrete-choice experiment questions, including examples, language, and levels associated with the Alzheimer’s Disease Assessment Scale-Cognitive Subscale, along with a set of de novo self-reported questions for identifying respondents who had neither too mild nor too advanced cognitive decline. Self-reported memory and thinking problems were compared with symptoms from studies of patients with early Alzheimer’s disease (e.g., mild cognitive impairment, mild Alzheimer’s disease) to determine whether those studies’ recruited patients were similar to our anticipated target population. Round 1 pretest interviews resulted in significant simplifications in the survey instrument, revisions to the inclusion and exclusion criteria, and revisions to the screening process. In round 2 of the pretest interviews, the ability of participants to provide consistent responses to the self-reported screening questions was further assessed. In addition, to evaluate participants’ ability to understand and independently complete the discrete-choice experiment survey, two interviewers independently evaluated each participant’s ability to make trade-offs in the discrete-choice experiment questions and to understand the content of the survey. RESULTS: Round 1 (15 pretest interviews) identified challenges with the survey instrument related to the complexity of the choice questions. The screening process did not screen out seven respondents with more advanced cognitive decline, as determined qualitatively by the interviewers and by these participants’ inability to complete the survey. The survey instrument and screening criteria were revised, and an initial online screener was added to the screening process before round 2 pretests. In round 2 pretests, 12 participants reported cognitive problems similar to the target population for the survey but were judged able to understand and independently complete the discrete-choice experiment survey. CONCLUSIONS: We developed self-reported screening criteria that identified a sample of individuals with memory and thinking concerns who were similar to individuals with clinical symptoms of early Alzheimer’s disease and who were able to independently complete a simplified discrete-choice experiment survey. Quantitative patient preference studies provide important information on patients’ willingness to trade off treatment benefits/risks. Adapting the technique for patients with cognitive decline requires careful testing and adjustments to survey instruments. This work suggests it is the severity of cognitive impairment, rather than its presence, that determines the ability to complete a simplified discrete-choice experiment survey. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00576-w. Springer International Publishing 2022-04-18 2022 /pmc/articles/PMC9365745/ /pubmed/35435572 http://dx.doi.org/10.1007/s40271-022-00576-w Text en © Eli Lilly 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 Article Mansfield, Carol Bullok, Kristin Fuhs, Jillian Venci Tockhorn-Heidenreich, Antje Andrews, J. Scott DiBenedetti, Dana Matthews, Brandy R. Darling, Joshua C. Sutphin, Jessie Hauber, Brett The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title | The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title_full | The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title_fullStr | The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title_full_unstemmed | The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title_short | The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making |
title_sort | patient voice: exploring treatment preferences in participants with mild cognitive concerns to inform regulatory decision making |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365745/ https://www.ncbi.nlm.nih.gov/pubmed/35435572 http://dx.doi.org/10.1007/s40271-022-00576-w |
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