Evidence map›Paper›PMID 42638689›Full record

ArticleFrontiers in public health2026

Factors associated with nurses' adherence to standard precautions: implications for healthcare-associated infection prevention and occupational safety in Taiwan.

Aih-Fung Chiu, Chun-Fung Chiu, Chun-Man Hsieh

Abstract read
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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Aih-Fung ChiuDepartment of Nursing, Cheng Shiu University, Kaohsiung, Taiwan.
Chun-Fung ChiuKaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Chun-Man HsiehDepartment of Nursing, Tajen University, Yanpu Township, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare-associated infections (HAIs) remain a major threat to patient safety and healthcare workforce protection, particularly after the COVID-19 pandemic. Standard precautions (SPs) are the most fundamental infection prevention measures used to reduce pathogen transmission and occupational exposure in clinical settings. Although awareness of SPs has increased, adherence among nurses continues to vary across practice domains. Factors such as familiarity with SP-related knowledge, years of nursing experience, and perceived barriers in daily practice may influence compliance; however, related evidence among hospital nurses in Taiwan is still limited. Materials and methods: This cross-sectional study recruited nurses who were directly involved in patient care at a teaching hospital in southern Taiwan using convenience sampling. Nurse managers without direct patient care responsibilities were excluded. Adherence to standard precautions (SPs) was assessed using the Chinese version of the Compliance with Standard Precautions Scale (CSPS). Data regarding perceived barriers, self-rated familiarity with SP-related knowledge, and personal characteristics were also collected. Multiple linear regression analysis was performed to identify factors associated with adherence to SPs. Results: Participants had a mean age of 37.7 years; most were female (96.2%) and held a bachelor's degree or above (71.2%). The mean self-rated familiarity score with SP-related knowledge was 7.8 ± 1.5 on a 10-point scale. The average adherence rate across the five CSPS domains was 78.6%, and the overall item-level adherence rate was 78.9%. Familiarity with SP-related knowledge showed the strongest positive association with SP adherence, while years of nursing experience and perceived barriers were negatively associated with compliance (all Conclusion: Although nurses demonstrated generally moderate to high adherence to SPs, deficiencies remained in high-risk practices, especially sharps disposal. Strengthening familiarity with SP-related knowledge and reducing workplace barriers may improve occupational safety, lower the risk of HAIs, and support more sustainable infection prevention strategies at both institutional and public health levels.

Indexed as

Cross InfectionGuideline AdherenceInfection ControlNursing Staff, HospitalOccupational HealthUniversal PrecautionsAdultCOVID-19Cross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSurveys and QuestionnairesTaiwanadherencehealthcare-associated infectionsinfection preventionnursesoccupational safetystandard precautions

Identifiers

PMID42638689
PMCPMC13500483

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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.