Evidence map›Paper›PMID 41257244›Full record

ArticlePatient preference and adherence2025

Exploring Patient Preference Information in Clinical Research and Decision Models: An Investigative Survey.

Martina Di Blasio, Zahra Bami, Matteo Bracco, Carmen Fava, Alessia Visconti, Ileana Baldi, Paola Berchialla

Abstract read
In one paragraph

Article in Patient preference and adherence, 2025. 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

7 authors.

Martina Di BlasioCenter for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Zahra BamiCenter for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Matteo BraccoCenter for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Carmen FavaDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Alessia ViscontiCenter for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.ORCID 0000-0003-4144-2019
Ileana Baldi *Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padua, Padua, Italy.ORCID 0000-0002-8578-9164
Paola Berchialla *Center for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.ORCID 0000-0001-5835-5638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Patient preferences are playing an increasingly pivotal role in defining care pathways, assessing care quality, and advancing healthcare technologies, but their current use remains unclear. Patients and Methods: We conducted an online survey collecting data from 46 experts in clinical research, pharmaceutical industry, regulatory affairs, and health technology assessment. Results: About 30% of our respondents are using patient preference information routinely, and 90% are willing to prioritize its integration in the future. This is despite challenges such as limited patient engagement, difficulty in obtaining reliable data, and reluctance to deviate from traditional practices. Conclusion: Here, we show a growing recognition of the potential benefits of integrating patient preference information, and that concerted efforts and investments are necessary to support wider adoption.

Indexed as

decision-makingevidence synthesispatient preference informationsurvey

Identifiers

PMID41257244
PMCPMC12620905

What OpenQuestion holds

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LicenceCC BY-NC
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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.