Evidence map›Paper›PMID 41968111›Full record

ArticleNursing & health sciences2026

Multifaceted Interventions Based on Education and Recognition to Enhance Nurses' Compliance With Standard Precautions: A Quasi-Experimental Design.

Menevse Yildirim, Seyda Seren Intepeler, Simon Ching Lam

Abstract read
In one paragraph

Article in Nursing & health sciences, 2026. 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

3 authors.

Menevse YildirimDepartment of Nursing Management, Faculty of Nursing, Dokuz Eylul University, Izmir, Turkey.ORCID https://orcid.org/0000-0001-6033-6196
Seyda Seren IntepelerDepartment of Nursing Management, Faculty of Nursing, Dokuz Eylul University, Izmir, Turkey.ORCID https://orcid.org/0000-0001-8615-9765
Simon Ching LamSchool of Nursing, Tung Wah College, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0002-2982-9192

Funding

Dokuz Eylül Üniversitesi 2018.KB.SAG.019
6 · The paper itself

Abstract

This study examines the effect of multifaceted interventions based on education (1) and recognition (2) of compliance with standard precautions (SPs). A quasi-experimental research design with a one-group pre-test and post-test was used. The purposive sample included 71 nurses working in different specialty units at a large hospital in Turkey. The researchers developed multifaceted interventions informed by existing literature, data from the hospital, and insights from frontline experts, including nurses, ward managers, infection control officers, and health and safety officers. Initially, modifications were implemented in the physical environment of the clinics, and material deficiencies were addressed. In the subsequent phase, nurses engaged in an educational session focused on SPs. The nurses completed the Compliance with Standard Precaution Scale (CSPS) three times, including baseline (before the intervention, T0), third month after the intervention (T1), and sixth month after the intervention (T2). Nurses' median compliance with SPs was significantly higher at T2 (15.8 ± 3.42) than at T0 (13.7 ± 3.16, p < 0.05). The multifaceted interventions comprising structured education and recognition enhanced the compliance with SPs of clinical nurses.

Indexed as

Guideline AdherenceInfection ControlNursesUniversal PrecautionsAdherence InterventionsAdultFemaleHumansMaleSurveys and QuestionnairesTurkeyeducationinfection controlnursesoccupational healthrecognitionstandard precautionsuniversal precautions

Identifiers

PMID41968111
PMCPMC13070891

What OpenQuestion holds

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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.