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华东地区护理人员对阿尔茨海默病的认知:潜在剖面分析。

Alzheimer's disease knowledge of nursing staff in East China: A latent profile analysis.

机构信息

The First Affiliated Hospital of Soochow University, Suzhou, China.

School of Nursing, Medical College of Soochow University, Suzhou, China.

出版信息

Nurs Open. 2023 Oct;10(10):6972-6979. doi: 10.1002/nop2.1952. Epub 2023 Jul 22.

DOI:10.1002/nop2.1952
PMID:37483069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10495715/
Abstract

AIM

The dementia population is expanding fast globally, posing a huge challenge to the healthcare system. Improving the level of Alzheimer's disease knowledge (ADK) in nursing staff is the key to providing quality dementia care and improving the patients' quality of life. This study aimed to investigate and classify the ADK level of nursing staff in East China and to identify the factors influencing the nursing staff's ADK level.

DESIGN

A cross-sectional study.

METHODS

A cross-sectional survey was conducted among 1896 nursing staff in East China from September 2022 to December 2022, using a self-designed general information questionnaire and the Chinese version of the Alzheimer's Disease Knowledge Scale. Latent profile analysis (LPA) was used to classify the nursing staff according to their ADK level, and multinomial logistic regression was used to identify the factors influencing the nursing staff's ADK level.

RESULTS

Nursing staff could be classified into four latent profiles according to their ADK level (p < 0.05), namely, the 'Low ADK group', 'Medium ADK group', 'Medium-high ADK group', and 'High ADK group'. Age, education, experience in AD care and training in ADK were the main factors influencing the classification of the nursing staff's ADK level. Therefore, upgrading education, participating in ADK training, and increasing AD care experience will be conducive to improving the ADK of nursing staff. No Patient or Public Contribution.

摘要

目的

全球痴呆人口迅速膨胀,这对医疗保健系统构成了巨大挑战。提高护理人员对阿尔茨海默病知识(ADK)的水平是提供优质痴呆症护理和提高患者生活质量的关键。本研究旨在调查和分类华东地区护理人员的 ADK 水平,并确定影响护理人员 ADK 水平的因素。

设计

横断面研究。

方法

2022 年 9 月至 12 月,采用横断面调查方法,对华东地区 1896 名护理人员进行调查,使用自行设计的一般资料问卷和中文版阿尔茨海默病知识量表。采用潜在剖面分析(LPA)对护理人员的 ADK 水平进行分类,采用多项逻辑回归分析确定影响护理人员 ADK 水平的因素。

结果

根据 ADK 水平,护理人员可分为 4 个潜在类别(p<0.05),即“ADK 低水平组”、“ADK 中水平组”、“ADK 中高水平组”和“ADK 高水平组”。年龄、教育程度、AD 护理经验和 ADK 培训是影响护理人员 ADK 水平分类的主要因素。因此,提高教育水平、参与 ADK 培训和增加 AD 护理经验将有助于提高护理人员的 ADK。无患者或公众贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe16/10495715/079b965ed591/NOP2-10-6972-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe16/10495715/079b965ed591/NOP2-10-6972-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe16/10495715/079b965ed591/NOP2-10-6972-g001.jpg

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