Evidence map›Paper›PMID 41035624›Full record

ArticleFrontiers in health services2025

Study on the relationship between medical staff's knowledge, attitudes, and practices regarding medical waste classification and personality traits.

Jinyan Wang, Meifeng Liu, Deyu Wang

Abstract read
In one paragraph

Article in Frontiers in health services, 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

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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

The trial behind it

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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

3 authors.

Jinyan WangShandong Urban Construction Vocational College, Jinan, China.
Meifeng Liu *Division of Gastrointestinal Surgery, Ward 2, Olympic Branch, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Deyu Wang *Division of Gastrointestinal Surgery, Ward 2, Olympic Branch, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and objectives: This study aims to assess healthcare workers' medical waste management knowledge, attitudes, and practices (KAP) and the influencing Factors; The study objectives are to explore the association between medical staff's personality traits and their KAP toward medical waste classification. Methods: A self-designed questionnaire assessing medical staff's knowledge, attitudes, and Practices toward medical waste classification, along with the Ten-Item Personality Inventory - Chinese version (TIPI-C), was administered to 420 nurses and doctors at a hospital in China. Group comparisons were performed using t-tests and ANOVA. Correlations between medical staff's knowledge and attitudes toward medical waste classification and TIPI-C were analyzed using Spearman's correlation. Influencing factors were examined through multiple stepwise regression analysis. Results: This study assessed the knowledge, attitudes, and practices (KAP) of medical waste classification among 420 healthcare professionals (214 nurses, 206 doctors) in a large Chinese hospital. The overall scores were 8.70 ± 1.63 for knowledge, 18.54 ± 3.11 for attitudes, and 24.20 ± 4.94 for practices. Nurses demonstrated significantly higher KAP levels than doctors across all domains ( Conclusions: This study revealed moderate to high levels of knowledge, attitudes, and practices (KAP) regarding medical waste classification among healthcare professionals, with nurses and female staff demonstrating significantly higher KAP scores. Key influencing factors identified include occupation, gender, years of experience, education level, and the personality trait of openness. These findings highlight the need for targeted, role-specific training programs to enhance compliance and safety in medical waste management. In addition to training, policy implications should include the integration of medical waste management into regular performance assessments and accountability mechanisms. Furthermore, fostering a culture of openness and continuous improvement through institutional support and feedback systems is recommended to sustain positive behavioral change.

Indexed as

attitudehealthhealth personnelknowledgemedical wastepersonality (with five-factor model assessment)practice

Identifiers

PMID41035624
PMCPMC12479484

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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.