Evidence map›Paper›PMID 32769813›Full record

ArticleNuclear medicine communications2020

Patient safety in nuclear medicine: identification of key strategic areas for vigilance and improvement.

Ömer Kasalak, Derya Yakar, Rudi A J O Dierckx, Thomas C Kwee

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2020. 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. Review
  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

4 authors.

Ömer KasalakMedical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands.
Derya Yakar
Rudi A J O Dierckx
Thomas C Kwee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the types of patient safety incidents and associated harm in nuclear medicine practice.

methodsThis study included 147 patient safety incidents related to nuclear medicine practice and submitted to the incident reporting system of a tertiary care nuclear medicine department between 2014 and 2019.

resultsThe top-three incident types according to the International Classification for Patient Safety (ICPS) were medication/IV fluids (36/147, 24.5%), clinical administration (28/147, 19.0%), and clinical process/procedure (27/147, 18.4%), altogether comprising 61.9% of incidents. Within the medication/IV fluids domain, half of incident subtypes were attributable to supply/ordering, omitted medicine or dose, and wrong dose/strength of frequency. Within the clinical administration domain, appointment and wrong patient represented the majority of incident subtypes. Within the clinical process/procedure domain, the majority of incident subtypes fell in the categories: specimens/results and incomplete/inadequate. There was no patient harm in 145 (98.6%) of cases, mild patient harm in 1 (0.7%) case, and in 1 (0.7%) case, it remained unclear if there was patient harm. In 4 (2.7%) cases, a Prevention Recovery Information System for Monitoring and Analysis evaluation was performed because of the high risk of reoccurrence and patient harm.

conclusionsThe majority of patient safety incidents in nuclear medicine occur in three main ICPS categories (medication/IV fluids, clinical administration, and clinical process/procedure, in order of decreasing frequency). These can be considered as key strategic areas for incident prevention and patient safety improvement. Nevertheless, the rate of actual patient harm was very low in our series.

Indexed as

Nuclear MedicinePatient SafetyHumansPositron-Emission TomographyRisk Management

Identifiers

PMID32769813
PMCPMC7556244

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LicenceCC BY-NC-ND
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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.