Evidence map›Paper›PMID 40225255›Full record

ReviewIranian journal of public health2025

Effect of Isolation Measures on Nosocomial Infection Rates in Nursing Practice during COVID-19: A Meta-Analysis.

Lingfei Ma, Fuping Ye

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Lingfei MaDepartment of Nursing, Jiaozhou Central Hospital of Qingdao, Qingdao, 266300, China.
Fuping YeDepartment of Gastrointestinal Surgery, Jiaozhou Central Hospital of Qingdao, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nosocomial infections represent a critical challenge in nursing practice, particularly during the COVID-19 pandemic. Isolation measures have been implemented widely to curb the spread of infections within healthcare settings. We aimed to evaluate the effectiveness of isolation measures in reducing nosocomial infection rates in nursing practice during the COVID-19 pandemic. Methods: A systematic search was conducted using keywords such as "isolation measures," "nosocomial infection," and "COVID-19" and their combinations in international databases, focusing on articles published between 2020 and 2024. Data were analyzed using meta-analysis and a random effects model. Heterogeneity between studies was assessed with the I Results: The analysis of 8 selected articles with a total sample size of 10,532 individuals showed that the implementation of isolation measures significantly reduced nosocomial infection rates, with an average effect size of 0.58 (95% CI: 42.1-74.5). Conclusion: Isolation measures are effective in reducing nosocomial infection rates in nursing practice during the COVID-19 pandemic. The findings support the continued use of these measures to enhance patient safety and control infection spread within healthcare facilities.

Indexed as

COVID-19Isolation measuresNursing practicePandemic

Identifiers

PMID40225255
PMCPMC11992904

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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.