Evidence map›Paper›PMID 34444100›Full record

ArticleInternational journal of environmental research and public health2021

Analysis of Incident Reports of a Dental University Hospital.

Yasuyuki Kimura, Ken-Ichi Tonami, Akira Toyofuku, Hiroshi Nitta

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Yasuyuki KimuraOral Diagnosis and General Dentistry, Dental Hospital, Tokyo Medical and Dental University, Tokyo 113-8549, Japan.
Ken-Ichi TonamiOral Diagnosis and General Dentistry, Dental Hospital, Tokyo Medical and Dental University, Tokyo 113-8549, Japan.ORCID 0000-0002-9275-340X
Akira ToyofukuMedical Safety Management Office, Dental Hospital, Tokyo Medical and Dental University, Tokyo 113-8549, Japan.ORCID 0000-0002-9498-3014
Hiroshi NittaOral Diagnosis and General Dentistry, Dental Hospital, Tokyo Medical and Dental University, Tokyo 113-8549, Japan.ORCID 0000-0001-8376-3983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incident reports are important for improving the quality and safety of medical care. Healthcare workers with less than one year of work experience have been reported to cause the most incidents, and the most common incident is "drug-related". However, few studies have comprehensively analyzed incidents in dentistry, and the characteristics of dental incidents have not been understood. In this study, to understand the characteristics of dental incidents, we comprehensively analyzed 1291 incident reports submitted to the Tokyo Medical and Dental University Dental Hospital from April 2014 to March 2019. As a result, dental outpatient and dental wards had different types of incidents. In outpatient wards, incidents included many dentistry-specific incidents related to "procedures". Among them, "poor physical condition of the patient during dental treatment" was the most common incident. In contrast, the most common incident from subjects with less than one year of work experience was "damage to soft tissues around the teeth". Thus, to improve the quality and safety in dentistry, it is was considered necessary to analyze and understand the characteristics of dentistry-specific incidents and to take appropriate measures and educate dental professionals.

Indexed as

Health PersonnelRisk ManagementHospitals, UniversityHumansTokyodentistryincident reportingmedical safety

Identifiers

PMID34444100
PMCPMC8391597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.