Evidence map›Paper›PMID 31485571›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2019

Improving Diagnostic Fidelity: An Approach to Standardizing the Process in Patients With Emerging Critical Illness.

Namita Jayaprakash, Junemee Chae, Moldovan Sabov, Sandhya Samavedam, Ognjen Gajic, Brian W Pickering

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Namita JayaprakashDepartment of Emergency Medicine, Henry Ford Hospital, Detroit, MI.
Junemee ChaeDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Moldovan SabovDepartment of Internal Medicine, Canton Medical Education Foundation, Canton, OH.
Sandhya SamavedamMercy Hospital, Springfield, MO.
Ognjen GajicDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Brian W PickeringDepartment of Anesthesia and Critical Care, Mayo Clinic, Rochester, MN.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

objectiveTo reliably improve diagnostic fidelity and identify delays using a standardized approach applied to the electronic medical records of patients with emerging critical illness. PATIENTS AND

methodsThis retrospective observational study at Mayo Clinic, Rochester, Minnesota, conducted June 1, 2016, to June 30, 2017, used a standard operating procedure applied to electronic medical records to identify variations in diagnostic fidelity and/or delay in adult patients with a rapid response team evaluation, at risk for critical illness. Multivariate logistic regression analysis identified predictors and compared outcomes for those with and without varying diagnostic fidelity and/or delay.

resultsThe sample included 130 patients. Median age was 65 years (interquartile range, 56-76 years), and 47.0% (52 of 130) were women. Clinically significant diagnostic error or delay was agreed in 23 (17.7%) patients (κ=0.57; 95% CI, 0.40-0.74). Median age was 65.4 years (interquartile range, 60.3-74.8) and 9 of the 23 (30.1%) were female. Of those with diagnostic error or delay, 60.9% (14 of 23) died in the hospital compared with 19.6% (21 of 107) without;

conclusionDiagnostic errors or delays can be reliably identified and are associated with higher comorbidity burden and increased mortality.

Indexed as

APACHE III, Acute Physiology, Age, Chronic Health Evaluation IIIICU, intensive care unitIOM, Institute of MedicineIQR, interquartile rangeRRT, rapid response teamSOP, standard operating procedure

Identifiers

PMID31485571
PMCPMC6713917

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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.