Evidence map›Paper›PMID 41334024›Full record

ArticleJugan geon-gang gwa jilbyeong2025

[Medical Clinics Infection Control Status Survey Operation System].

Namyi Kim, Jeongsuk Song, Sook-Kyung Park

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 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

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

2 citing papers in PubMed.

  1. Article
  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.

Namyi Kim질병관리청 의료안전예방국 의료감염관리과.ORCID https://orcid.org/0000-0002-9619-3040
Jeongsuk Song질병관리청 의료안전예방국 의료감염관리과.ORCID https://orcid.org/0000-0002-9619-3040
Sook-Kyung Park질병관리청 의료안전예방국 의료감염관리과.ORCID https://orcid.org/0000-0002-9619-3040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the current status and barriers of infection control in medical clinics in the Republic of Korea and establish foundational data for infection control support policies, the infection control survey system for hospital-level institutions during the first cycle was revised. Limitations of the self-administered online survey method (computer-assisted self-interviewing) were addressed by transitioning to an on-site survey format. The survey aimed to generate nationally representative statistics by ensuring the reliability and representativeness of infection control survey results from medical clinics. Stratified random sampling proportionally allocated samples according to the survey population ratio, selecting a final sample of 600 clinics based on regional and clinic characteristics. Infection control experts conducted on-site visits, verified documents, observed procedures, and interviewed staff. A staff survey assessed awareness of infection control to enhance policy acceptance. Of 34,958 medical clinics, 4,501 clinics (12.9%) participated in the online survey. Among these, 87.2% of staff indicated a need for infection control education, and 99.6% agreed on the effectiveness of hand hygiene in preventing healthcare-associated infections. Key educational topics identified were hand hygiene, safe injection practices, and measures for patients with infectious diseases. The Korea Disease Control and Prevention Agency plans to establish infection control surveys as a national survey system by improving on-site survey participation and ensure data reliability, addressing limitations identified during the operation of the infection control survey for medical clinics.

Indexed as

Infection controlMedical clinicsResearch designSample designSurvey

Identifiers

PMID41334024
PMCPMC12269998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.