Evidence map›Paper›PMID 41583710›Full record

ArticleJournal of Korean gerontological nursing2025

Developing a framework for infection control education in nursing homes: Applying the mixed-methods Delphi technique.

Young-Rim Choi, Ye-Na Lee, Dayeong Kim, Sung Ok Chang

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 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

4 authors.

Young-Rim ChoiAssistant Professor, Department of Nursing, College of Health Science, Far East University, Eumseong, Korea.ORCID 0000-0001-6749-4648
Ye-Na LeeAssistant Professor, Department of Nursing, College of Life Care Sciencetechnology, The University of Suwon, Hwaseong, Korea.ORCID 0000-0001-7400-1813
Dayeong KimDoctoral Student, College of Nursing ∙ BK21 FOUR R&E Center for Learning Health Systems, Korea University, Seoul, Korea.ORCID 0000-0001-8852-0040
Sung Ok ChangProfessor, College of Nursing ∙ BK21 FOUR R&E Center for Learning Health Systems, Korea University, Seoul, Korea.ORCID 0000-0003-2710-4291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Infection control is a critical concern in nursing homes, especially in the post-COVID-19 era, due to the frailty and complex health conditions of older adults. This study aimed to develop an educational framework to improve infection control practices in nursing homes. Methods: We interviewed five infection specialists to gain practical insights. Subsequently, we administered three rounds of Delphi surveys to 20 nursing home practitioners to assess the validity and practicality of the selected items, thereby establishing a comprehensive framework. Results: The interview data revealed three key categories: recipient-centered, interaction-centered, and environment-centered. Following the Delphi surveys, we identified seven crucial factors for practicality in nursing homes: the characteristics of residents' health, detection of subtle changes, identification of nonverbal signs, effective communication among professionals, feedback and assessment among professionals, following infection control principles, education based on problem-solving, and immunization and isolation strategies for creating a safe environment. Conclusion: By integrating expert insights and validating the framework through the Delphi technique, the proposed framework enhances infection control training and education programs in nursing homes, ultimately ensuring resident safety.

Indexed as

Delphi techniqueInfection controlInterviewNursing homes

Identifiers

PMID41583710
PMCPMC12719944

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.