Evidence map›Paper›PMID 39780161›Full record

ArticleBMC oral health2025

Identification of key risk areas and failure modes using the FMEA method for the prevention and control of major infectious diseases in a stomatology department.

Suqing Yang, Lingfei Yang, Yen-Ching Chuang, Gulidanna Asihaer, Xiaonan Lin

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Suqing YangCustomer Service Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Lingfei YangCustomer Service Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Yen-Ching ChuangInstitute of Public Health and Emergency Management, Taizhou University, Taizhou, Zhejiang, China. yenching.chuang@gmail.com.
Gulidanna AsihaerInstitute for Hospital Management, Tsing Hua University, Shenzhen Campus, Shenzhen, Guangdong, China. gldnashe23@mails.tsinghua.edu.cn.
Xiaonan LinDepartment of Stomatology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China. linxn@tzzxyy.com.

Funding

National Natural Science Foundation of China No. 72204183the Zhejiang Federation of Humanities and Social Sciences (Zhi Jiang Youth Special Project by Zhejiang Province Philosophy and Social Science Planning) 24ZJQN105Y
6 · The paper itself

Abstract

purposeTo perform risk assessment and analysis of potential infection during stomatology workflow in a hospital in the context of a major infectious disease outbreak, and to determine the key failure modes and measures to prevent and control infection.

methodFollowing the Failure Modes and Effects Analysis (FMEA) method based on the stomatology workflow, the opinions of 30 domain-experts in related fields were collected through questionnaires to determine all potential failure modes in the severity (S), occurrence (O), and detectability (D) dimensions. The group score was then integrated through the median method and the risk priority number (RPN) was obtained. Finally, combined with expert experience, a score above 100 was considered to define a key potential failure mode. The data collection period for this study was from August to September 2023.

resultsThe key failure modes identified were "Patient concealed epidemiological history (A

conclusionInsufficient records of patient epidemiological history may increase the spread of COVID-19 in the oral diagnosis and treatment environment. High-density areas where patients gather are prone to become sources of infection. Finally, improper use of personal protective equipment increases the risk of cross-infection with COVID-19. However, in the face of the potential spread of major infectious diseases in the future, the government and hospitals need to build a more comprehensive epidemiological notification system to provide the population with early action trajectories and warning reports.

Indexed as

Healthcare Failure Mode and Effect AnalysisCOVID-19Cross InfectionDisease OutbreaksHumansInfection ControlOral MedicineRisk AssessmentSurveys and QuestionnairesWorkflowCOVID-19Failure Modes and Effects Analysis (FMEA)Hospital infectionRisk assessmentStomatology workflow

Identifiers

PMID39780161
PMCPMC11714806

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.