Evidence map›Paper›PMID 35435572›Full record

ArticleThe patient2022

The Patient Voice: Exploring Treatment Preferences in Participants with Mild Cognitive Concerns to Inform Regulatory Decision Making.

Carol Mansfield, Kristin Bullok, Jillian Venci Fuhs, Antje Tockhorn-Heidenreich, J Scott Andrews, Dana DiBenedetti, Brandy R Matthews, Joshua C Darling, Jessie Sutphin, Brett Hauber

Open access · hybridAbstract read
In one paragraph

Article in The patient, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
30.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Expectations and clinical meaningfulness of randomized controlled trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Carol MansfieldDepartment of Health Preference Assessment, RTI Health Solutions, 3040 East Cornwallis Road, Research Triangle Park, NC, 27709, USA. carolm@rti.org.ORCID 0000-0002-3144-8938
Kristin BullokEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
Jillian Venci FuhsEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
Antje Tockhorn-HeidenreichEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
J Scott AndrewsEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
Dana DiBenedettiDepartment of Patient-Centered Outcomes Assessment, RTI Health Solutions, Research Triangle Park, NC, USA.
Brandy R MatthewsEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
Joshua C DarlingEli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA.
Jessie SutphinDepartment of Health Preference Assessment, RTI Health Solutions, 3040 East Cornwallis Road, Research Triangle Park, NC, 27709, USA.
Brett HauberDepartment of Health Preference Assessment, RTI Health Solutions, 3040 East Cornwallis Road, Research Triangle Park, NC, 27709, USA.
Eli Lilly (United States) · USRTI Health Solutions · USDuke University · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe 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.

methodsUsing 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.

resultsRound 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.

conclusionsWe 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.

Indexed as

Alzheimer DiseaseChoice BehaviorCognitionDecision MakingHumansPatient PreferenceSurveys and Questionnaires

Identifiers

PMID35435572
PMCPMC9365745
OpenAlexW4226027261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.