Chrome Extension
WeChat Mini Program
Use on ChatGLM

The moderating effect of attitudes in the relationship between knowledge and self-efficacy in palliative care among nurses: A cross-sectional, correlational study

PLOS ONE(2023)

Cited 0|Views8
No score
Abstract
Provision of palliative care to patients with advanced chronic diseases or old populations is suboptimal, which results in unnecessary suffering of and burden to patients, caregivers, and society. Low self-efficacy in palliative care among nurses is a factor affecting suboptimal utilization of palliative care. Poor knowledge is a factor affecting low self-efficacy in palliative care of nurses. Attitudes may contribute to the relationship between knowledge and self-efficacy in palliative care, but these relationships have been rarely examined in nurses. This study aimed to determine whether nurses' attitudes moderate the relationship between knowledge and self-efficacy in palliative care. In a cross-sectional, correlational study, online or offline survey on self-efficacy, knowledge, attitudes, and covariates was conducted from 282 nurses in South Korea. PROCESS v4.1 for SPSS was used to address the study aim. Higher levels of knowledge (p = .048) and attitudes (p < .001), and the interaction term of knowledge and attitudes (p = .025) were significantly associated with higher levels of self-efficacy (F = 6.12, p < .001, R-2 = .152), indicating the moderating effects of attitudes. The relationships between higher levels of knowledge and self-efficacy were significant only in nurses with highly and moderately positive attitudes (R-2 change = .016, F = 5.11, p = .025), but not nurses with lack of positive attitudes. Our results supported the moderating role of nurses' attitudes in the relationship between knowledge and self-efficacy. To improve self-efficacy in palliative care in nurses, improvement in knowledge and facilitation of positive attitudes are needed.
More
Translated text
Key words
palliative care,attitudes,knowledge,self-efficacy,cross-sectional
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined