Evidence map›Paper›PMID 31920292›Full record

ReviewPatient preference and adherence2019

Patient Preferences as Guidance for Information Framing in a Medical Shared Decision-Making Approach: The Bridge Between Nudging and Patient Preferences.

Luca Bailo, Laura Vergani, Gabriella Pravettoni

Abstract readReview
In one paragraph

Review in Patient preference and adherence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Hypothyroidism - A Causal Approach to Testing Assumptions against Empirical Results.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    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

3 authors.

Luca Bailo *Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, IRCCS, Milan 20141, Italy.ORCID 0000-0003-3688-0604
Laura Vergani *Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, IRCCS, Milan 20141, Italy.ORCID 0000-0002-4880-9656
Gabriella PravettoniApplied Research Division for Cognitive and Psychological Science, European Institute of Oncology, IRCCS, Milan 20141, Italy.ORCID 0000-0002-4843-4663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guidelines and policies support the decision process to make sure that patients can benefit from the best treatment for their condition. The implementation of guidelines and policies is evolving, allowing decision makers to be able to choose between alternatives while considering the effect of biases and fallacies that may hinder their choice. Patient preferences play a precious role in those decisions in which is not possible to recognize an objective "best" alternative and it's not possible to nudge them toward one alternative based on scientific evidence and clinical experience. Having patient input as part of the decision process itself would allow the recognition of the attributes related to what is relevant for patients, which can be considered as important as clinical data. The authors advocate that the integration of preference-sensitive attributes with decision policies could provide a benefit against fallacies in the decision process when there is not a "best" alternative, and a shared decision-making paradigm allows both patient and clinician to recognize and pursue the option that best fits the individual case.

Indexed as

health policiesnudgepatient preferencesshared decision-making

Identifiers

PMID31920292
PMCPMC6935300

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.