-
- Jintao Cheng, Meng Yuan, Shuangfei Zhang, Qingqing Xiao, Qian Zhou, and Xiaohong Huang.
- Zunyi Medical University, Zunyi, China.
- Medicine (Baltimore). 2024 Jul 12; 103 (28): e38400e38400.
AbstractThe study investigated the health care workers' knowledge, attitudes, and practice levels regarding occupational protection against antineoplastic drugs (ADs) via analysis of latent classes and their influencing factors. A convenience sampling method was used to select healthcare workers from 7 hospitals in southern China between April and August 2023. A questionnaire based on literature analysis, brainstorming, and Delphi method was used to investigate the knowledge, practice, and attitudes of healthcare workers exposed to ADs for appropriate occupational protection intervention, followed by latent class analysis. The factors influencing latent classes were identified via single-factor analysis and multiple logistic regression. A total of 322 healthcare workers from departments using ADs were surveyed. The knowledge score associated with occupational protection against ADs was 31.95 ± 7.38. The attitude score was 21.08 ± 2.729, while the practice score was 36.54 ± 9.485. The overall score was 89.57 ± 15.497. The healthcare workers were divided into 4 latent classes based on their knowledge, attitude, and practice associated with occupational protection measures against ADs. Healthcare workers in the 4 categories showed significance differences based on professional title, marital status, educational background, and frequency of exposure to ADs (P < .05). The knowledge, attitude, and practice levels of healthcare workers engaged in ADs at work can be divided into 4 latent classes. Despite their increased awareness of the hazards associated with ADs and their attitudes toward protection, the healthcare workers displayed poor knowledge and implementation of occupational protection measures.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.