Evidence map›Paper›PMID 40958468›Full record

Observational studyJapan journal of nursing science : JJNS2025

Incidence and risk factors for nursing-related intraoperative incidents: A 5-year retrospective study at a Japanese tertiary care hospital.

Kazuki Mochida, Tomohiro Chaki, Michiaki Yamakage

Abstract readObservational Study
In one paragraph

Observational study in Japan journal of nursing science : JJNS, 2025. 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

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  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

3 authors.

Kazuki MochidaDepartment of Operating Room Nursing, Sapporo Medical University Hospital, Sapporo, Hokkaido, Japan.
Tomohiro ChakiDepartment of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.ORCID https://orcid.org/0000-0001-8898-3977
Michiaki YamakageDepartment of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimNursing-related intraoperative incidents, such as specimen loss and retained surgical items, pose serious risks to patient safety. These events may be influenced by surgical complexity, team structure, and nursing experience. However, data on the specific impact of these factors, particularly in Japan, remain limited. This study aimed to determine the incidence of nursing-related intraoperative incidents and identify clinical and procedural factors associated with their occurrence.

methodsWe conducted a retrospective observational study of all surgeries performed at a tertiary care hospital between April 1, 2018, and March 31, 2023. Data were extracted from anesthetic records, perioperative nursing notes, and an electronic incident reporting system. The primary outcome was the incidence of nursing-related intraoperative incidents. Secondary outcomes included associations with surgical specialty, instrument delivery personnel (nurse vs. physician), duration of surgery (<2 vs. ≥2 h), timing of surgery (daytime vs. night shift), surgical approach (endoscopic vs. non-endoscopic), and nurse experience (<6 vs. ≥6 years). Logistic regression was used for statistical analysis.

resultsOf 37,265 surgical cases, 85 cases (0.23%) of nursing-related intraoperative incidents were identified. Incident rates were highest in neurosurgery and emergency department surgery. Univariate analysis identified instrument delivery personnel (nurse), longer duration of surgery, night shift surgery, and limited nursing experience as associated factors. In multivariate analysis, limited nursing experience (odds ratio: 1.810) and longer duration of surgery (odds ratio: 4.008) remained significant predictors.

conclusionsNursing-related intraoperative incidents, though rare, were more likely to occur during longer surgeries and when performed by less experienced nurses.

Indexed as

Intraoperative ComplicationsAdultAgedFemaleHumansIncidenceJapanMaleMiddle AgedRetrospective StudiesRisk FactorsTertiary Care Centersintraoperative incidentsnursingpatient safetyretained surgical itemsspecimen loss

Identifiers

PMID40958468
PMCPMC12516652

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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.