Evidence map›Paper›PMID 40109415›Full record

ArticleFrontiers in public health2025

The informatics pathway for hospital infection quality control monitoring.

Hui Wang, Qin Huang, Qingqing Tian, Weiwei Yang, Anran Liu, Jiayang Tang, Hailin Zhang, Chunlin Wu

Abstract read
In one paragraph

Article in Frontiers in public 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

8 authors.

Hui WangDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Qin HuangDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Qingqing TianDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Weiwei YangDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Anran LiuDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Jiayang TangDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Hailin ZhangDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Chunlin WuDepartment of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the results and current status of hospital infection monitoring and quality control work at a tertiary specialized cancer hospital, providing references for further improvement of HAI monitoring quality. Methods: Combined information-based monitoring with manual quality control measures for hospital infection surveillance, collecting data such as hospital infection report cards and missed reports to analyze the current status of hospital infection monitoring. Starting from January 2023, further comprehensive quality control measures were taken, and data before and after the implementation were compared to evaluate the effectiveness of the quality control work. Results: After the implementation of comprehensive management measures, the incidence rate of hospital infection in the hospital decreased from 0.60 to 0.52%, the correct rate of early warning disposal increased from 85.31 to 89.53%, and the handling rate within 24 h of early warning increased from 20.51 to 72.99%. All these differences are statistically significant ( Conclusion: Information systems can enhance the efficiency of hospital infection surveillance through real-time monitoring and automatic early warning, improve the quality of reporting, and thereby contribute to the reduction of the incidence rate of hospital infections. However, the quality of monitoring is still influenced by human factors such as whether the early warning rules are scientifically set and whether the determination of hospital infections is accurate. There may be situations where the missed reporting rate is underestimated and the quality of the report cards is not high. This indicates that while adopting information-based monitoring, we cannot ignore the management of quality control. It is necessary to continuously strengthen the investigation of missed reporting, improve the quality of report cards, and ensure the authenticity and accuracy of the results of hospital infection monitoring.

Indexed as

Cross InfectionInfection ControlQuality ControlChinaHumansIncidencehospital infection monitoringinformation systemmissed reportsquality controlreport card quality

Identifiers

PMID40109415
PMCPMC11919825

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.