Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
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
_version_ 1784765408659636224
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
work_keys_str_mv AT mansfieldcarol thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT bullokkristin thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT fuhsjillianvenci thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT tockhornheidenreichantje thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT andrewsjscott thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT dibenedettidana thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT matthewsbrandyr thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT darlingjoshuac thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT sutphinjessie thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT hauberbrett thepatientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT mansfieldcarol patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT bullokkristin patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT fuhsjillianvenci patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT tockhornheidenreichantje patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT andrewsjscott patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT dibenedettidana patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT matthewsbrandyr patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT darlingjoshuac patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT sutphinjessie patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking
AT hauberbrett patientvoiceexploringtreatmentpreferencesinparticipantswithmildcognitiveconcernstoinformregulatorydecisionmaking