Evidence map›Paper›PMID 42602106›Full record

ArticleFrontiers in public health2026

Application research of sensory control management in operating room based on failure mode and effect analysis.

Haijing Cai, Yuehong Ren, Man Xu, Feng Yan, Jiatang Guo, Xinying Liu, Xiangyun Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Haijing CaiDepartment of Anesthesiology, The 82nd Group Army Hospital of the People's Liberation Army, Baoding, China.
Yuehong RenInfection Control Office, Baoding Maternal and Child Health Hospital, Baoding, China.
Man XuInfection Control Office, Baoding Maternal and Child Health Hospital, Baoding, China.
Feng YanGynecology Department, Baoding Maternal and Child Health Hospital, Baoding, China.
Jiatang GuoDepartment of Anesthesiology, The 82nd Group Army Hospital of the People's Liberation Army, Baoding, China.
Xinying LiuDepartment of Anesthesiology, The 82nd Group Army Hospital of the People's Liberation Army, Baoding, China.
Xiangyun LiuInfection Control Office, Baoding Maternal and Child Health Hospital, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the application effect of Failure Mode and Effects Analysis (FMEA) combined with Risk Priority Number (RPN) dynamic early warning in reducing the risk of hospital-acquired infections in the operating room, and to provide evidence-based support for optimizing infection control management strategies in the operating room. Methods: This study adopted an analytical and descriptive comparative research design (a prospective pre-post design) and was conducted in the clean operating room of a tertiary hospital from July to December 2023. A FMEA management team consisting of 10 members, including dedicated infection control personnel and members of the operating room infection control group, was formed. Risk identification was carried out using the brainstorming method from the aspects of personnel, equipment, material, method, environment, and monitor. A three-level scoring system (1-10 points) for the occurrence probability (O), severity (S), and detectability (D) of risks was developed based on literature review and clinical practice. The RPN score (RPN = O × S × D) was calculated monthly, and high-risk items were defined as those above the 80th percentile. Targeted interventions were implemented, and the infection control process in the operating room was continuously optimized to improve the quality of infection control management. Results: A total of 49 risk points were identified, among which 10 were high-risk items. After the intervention, the RPN score of high-risk items decreased significantly, with an improvement rate ranging from 42.86 to 78.57%. The implementation rate of room cleaning and disinfection increased from 51.0 to 85.0% ( Conclusion: The combination of FMEA and RPN dynamic early warning can effectively identify high-risk links of infection in the operating room. Through and improve the quality of infection control management. This study si a single-center pre-post comparison design. It is recommended that future multi-center randomized controlled trials be conducted to verify its long-term effect.

Indexed as

Cross InfectionHealthcare Failure Mode and Effect AnalysisInfection ControlOperating RoomsHumansProspective Studiescontinuous quality improvementdynamic early warningfailure mode and effect analysishospital infection management in operating roomsrisk priority number

Identifiers

PMID42602106
PMCPMC13473422

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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.