Evidence map›Paper›PMID 41774515›Full record

ArticleHealth economics2026

Guidance or Misdirection? Unpacking the Role of Feedback in Health Preference Assessments.

Mesfin G Genie, Shelby D Reed, Semra Ozdemir

Abstract read
In one paragraph

Article in Health economics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mesfin G GenieNewcastle Business School, College of Human and Social Futures, The University of Newcastle, Newcastle, NSW, Australia.
Shelby D ReedDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Semra OzdemirDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.

Funding

The Medical Device Innovation Consortium with contributions from Abbott, Abiomed, Boston Scientific, CVRx Inc, Edwards Life Sciences, Medtronic, and the US Food and Drug Administration
6 · The paper itself

Abstract

This study investigated the impact of providing feedback to respondents on a dominance-structured choice task on subsequent choice behavior in a discrete choice experiment (DCE). The DCE was conducted among 626 patients with heart failure. Respondents were given a dominance-structured choice task in which two devices (Device A and Device B) offered no benefits but carried risks compared to a "No Device" option. Among those who selected a device option (N = 340), half received feedback and an opportunity to revise their choice, while the other half did not. The effect of feedback on preference for the "No Device" option and choice consistency was examined using multinomial, heteroscedastic multinomial logit, and heteroscedastic latent-class logit models. Among those who received feedback (N = 170), 71% continued to choose the device options. Feedback recipients were more likely to choose the "No Device" option in subsequent questions (p < 0.01). Feedback led to a 25% reduction in choice consistency (p < 0.01) and an increased likelihood of choosing the "No Device" option. Impact on consistency varied across latent classes: feedback decreased consistency in the risk-sensitive class but increased consistency in the anti-device class, highlighting potential unintended consequences. Further research is needed to understand its effects in different contexts and samples.

Indexed as

Choice BehaviorFeedbackPatient PreferenceAgedFemaleHeart FailureHumansMaleMiddle Agedchoice consistencydiscrete choice experimentfeedback interventionmedical devices

Identifiers

PMID41774515
PMCPMC13126101

What OpenQuestion holds

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Registered trials

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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.