Evidence map›Paper›PMID 28353609›Full record

ArticleMedicine2017

Assessing practical skills in cardiopulmonary resuscitation: Discrepancy between standard visual evaluation and a mechanical feedback device.

Baltasar Sánchez González, Laura Martínez, Manel Cerdà, Enrique Piacentini, Josep Trenado, Salvador Quintana

Abstract readEvaluation Study
In one paragraph

Article in Medicine, 2017. 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

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

4 citing papers in PubMed.

  1. Article
  2. CPR Quality Assessment in Schoolchildren Training.Journal of cardiovascular development and disease · 2022
    Article
  3. Article
  4. 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

6 authors.

Baltasar Sánchez GonzálezIntensive Care Department, Hospital Universitari Mútua Terrassa. PhD program, University of Barcelona. Terrassa, Spain Consell Català de Ressuscitació. Barcelona, Spain Intensive Care Department, Hospital Universitari Mútua Terrassa. University of Barcelona. Terrassa, Spain.
Laura Martínez
Manel Cerdà
Enrique Piacentini
Josep Trenado
Salvador Quintana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to analyze agreement in the assessment of external chest compressions (ECC) by 3 human raters and dedicated feedback software.While 54 volunteer health workers (medical transport technicians), trained and experienced in cardiopulmonary resuscitation (CPR), performed a complete sequence of basic CPR maneuvers on a manikin incorporating feedback software (Laerdal PC v 4.2.1 Skill Reporting Software) (L), 3 expert CPR instructors (A, B, and C) visually assessed ECC, evaluating hand placement, compression depth, chest decompression, and rate. We analyzed the concordance among the raters (A, B, and C) and between the raters and L with Cohen's kappa coefficient (K), intraclass correlation coefficients (ICC), Bland-Altman plots, and survival-agreement plots.The agreement (expressed as Cohen's K and ICC) was ≥0.54 in only 3 instances and was ≤0.45 in more than half. Bland-Altman plots showed significant dispersion of the data. The survival-agreement plot showed a high degree of discordance between pairs of raters (A-L, B-L, and C-L) when the level of tolerance was set low.In visual assessment of ECC, there is a significant lack of agreement among accredited raters and significant dispersion and inconsistency in data, bringing into question the reliability and validity of this method of measurement.

Indexed as

ManikinsAdultCardiopulmonary ResuscitationClinical CompetenceFemaleHumansMaleProcess Assessment, Health CareSoftware

Identifiers

PMID28353609
PMCPMC5380293

What OpenQuestion holds

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LicenceCC BY
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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.