Evidence map›Paper›PMID 33455815›Full record

ArticleNursing outlook

The critical need for nursing education to address the diagnostic process.

Kelly Gleason, Gene Harkless, Joan Stanley, Andrew P J Olson, Mark L Graber

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nursing outlook. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Kelly GleasonJohns Hopkins University, Baltimore, MD. Electronic address: kgleaso2@jhmi.edu.
Gene HarklessUniversity of New Hampshire, Durham, NH.
Joan StanleyAmerican Association of Colleges of Nursing, Washington, DC.
Andrew P J OlsonUniversity of Minnesota, Minneapolis, MN.
Mark L GraberSociety to Improve Diagnosis in Medicine, Chicago, IL.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
A Human Factors and Systems Engineering Approach for Understanding the Diagnostic Process and Associated Safety Hazards in the Emergency DepartmentR01HS027198 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI GURSES, AYSE PINAR · 2019 to 2021
$1.0M
AHRQ HHS R01 HS027198NCATS NIH HHS KL2 TR003099NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

Diagnostic errors are among the most common medical errors and the deadliest. The National Academy of Medicine recently concluded that diagnostic errors represent an urgent national concern. Their first recommendation to address this issue called for promoting the key role of the nurse in the diagnostic process. Registered nurses across clinical settings significantly contribute to the medical diagnostic process, though their role in diagnosis has historically gone unacknowledged. In this paper, we review the history and current state of diagnostic education in pre-licensure registered nurse preparation, introduce interprofessional individual- and team-based competencies to improve diagnostic safety, and discuss the next steps for nursing education. Nurses educated and empowered to fully participate in the diagnostic process are essential for achieving better, safer patient outcomes.

Indexed as

CurriculumAdultClinical CompetenceDiagnostic ErrorsDiagnostic Techniques and ProceduresEducation, NursingFemaleHumansMaleMiddle AgedNursing Staff, HospitalUnited StatesDiagnostic errorEducationNursing

Identifiers

PMID33455815
PMCPMC8178169

What OpenQuestion holds

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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.