[1]王乙洋,李玉霞,乔潇萱,等.脑卒中患者疾病接受度的潜在剖面分析及影响因素研究[J].军事护理,2023,40(11):83-87.[doi:10.3969/j.issn.2097-1826.2023.11.020]
　WANG Yiyang,LI Yuxia,QIAO Xiaoxuan,et al.Latent Profile Analysis of The Acceptance of Illness Among Stroke Patients and Its Influencing Factors[J].Nursing Journal Of Chinese People's Laberation Army,2023,40(11):83-87.[doi:10.3969/j.issn.2097-1826.2023.11.020]
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脑卒中患者疾病接受度的潜在剖面分析及影响因素研究
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《军事护理》[ISSN:2097-1826/CN:31-3186/R]

卷:
40
期数:
2023年11期
页码:
83-87
栏目:
研究荟萃
出版日期:
2023-11-15

文章信息/Info

Title:
Latent Profile Analysis of The Acceptance of Illness Among Stroke Patients and Its Influencing Factors
文章编号:
2097-1826(2023)11-0083-05
作者:
王乙洋; 李玉霞; 乔潇萱; 任亚豪; 吴卓耘
(上海中医药大学 护理学院,上海 201203)
Author(s):
WANG Yiyang; LI Yuxia; QIAO Xiaoxuan; REN Yahao; WU Zhuoyun
(School of Nursing,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
关键词:
脑卒中;  疾病接受度;  潜在剖面分析;  影响因素
Keywords:
stroke;  acceptance of illness;  latent profile analysis;  influencing factors
分类号:
R473.74
DOI:
10.3969/j.issn.2097-1826.2023.11.020
文献标志码:
A
摘要:
目的 探究脑卒中患者疾病接受度的潜在剖面类型,并分析不同剖面的影响因素。方法 2022年9月至2023年2月,采用便利抽样法调查上海市两家三级甲等综合医院的322名脑卒中患者,使用一般资料调查表、疾病接受度量表、心理弹性量表、社会支持量表、自我效能量表等工具收集数据,运用潜在剖面分析、单因素分析和多元logistic回归分析确定不同剖面及影响因素。结果 脑卒中患者疾病接受度分为“疾病接受度较差组”(40.7%)、“疾病接受度中等组”(30.2%)、“疾病接受度良好组”(29.2%)3个潜在剖面,其影响因素包括疾病严重程度(美国国立卫生研究院卒中量表得分)、病程、心理弹性、自我效能、社会支持、康复满意度(均P<0.05)。结论 脑卒中患者疾病接受度水平存在显著异质性,医务人员可根据脑卒中患者疾病接受度不同剖面的分类特征实施针对性干预,以提高患者的疾病接受度。
Abstract:
Objective To explore the latent profile types of acceptance of illness and analyze the influencing factors among stroke patients.Methods From September 2022 to February 2023,a total of 322 stroke patients were recruited using convenience sampling method from two tertiary A general hospitals in Shanghai. Data was collected using general information questionnaire,Acceptance of Illness Scale,Connor-Davidson Resilience Scale,Perceived Social Support Scale and Stroke Self-Efficacy Questionnaire.Latent profile analysis,univariate analysis and multivariate logistic regression analysis were used to identify the different latent profile types and influencing factors.Results The illness acceptance of stroke patients was divided into three latent profile types: “poor illness acceptance group”(40.7%),“moderate illness acceptance group”(30.2%),and “good illness acceptance group”(29.2%). The influencing factors included disease severity(NIH Strike Scale score),course of disease,resilience,self-efficacy,social support,and rehabilitation satisfaction(all P<0.05).Conclusions There was significant heterogeneity in the level of acceptance in stroke patients.Healthcare professionals can implement targeted interventions based on the classification characteristics of different latent profile of acceptance of illness types to improve patients' acceptance of illness.

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备注/Memo

备注/Memo:
【收稿日期】2023-05-12 【修回日期】2023-09-26
【基金项目】2022年上海市卫生健康委员会科研项目(202240242)
【作者简介】王乙洋,硕士在读,电话:021-51323097
【通信作者】李玉霞,电话:021-51323097
更新日期/Last Update: 2023-11-15