Evidence map›Paper›PMID 23893394›Full record

ReviewBMJ quality & safety2013

The patient is in: patient involvement strategies for diagnostic error mitigation.

Kathryn M McDonald, Cindy L Bryce, Mark L Graber

Abstract readReview
In one paragraph

Review in BMJ quality & safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 4 pooled it
–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

59 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Patient involvement in diagnosing cancer in primary care: a systematic review of current interventions.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
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  16. Patient Reasoning: Patients' and Care Partners' Perceptions of Diagnostic Accuracy in Emergency Care.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  17. Review
  18. Co-Design with Patients for Improving Patient Safety: Strategies, Barriers and pitfalls.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2023
    Article
  19. Article
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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.

Kathryn M McDonaldStanford University School of Medicine and University of California, School of Public Health, , Berkeley, California, USA.
Cindy L Bryce
Mark L Graber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although healthcare quality and patient safety have longstanding international attention, the target of reducing diagnostic errors has only recently gained prominence, even though numerous patients, families and professional caregivers have suffered from diagnostic mishaps for a long time. Similarly, patients have always been involved in their own care to some extent, but only recently have patients sought more opportunities for engagement and participation in healthcare improvements. This paper brings these two promising trends together, analysing strategies for patient involvement in reducing diagnostic errors in an individual's own care, in improving the healthcare delivery system's diagnostic safety, and in contributing to research and policy development on diagnosis-related issues.

Indexed as

Patient ParticipationDiagnostic ErrorsDisclosureHealth LiteracyHumansSafety ManagementSelf CareCommunicationDiagnostic errorsPatient-centred carePatient educationPatient safety

Identifiers

PMID23893394
PMCPMC3786634

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.