脑卒中患者疾病感知变化轨迹及核心影响因素决策树分析
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男,硕士在读,护士

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2020年度教育部人文社会科学研究项目(20YJAZH075)


Longitudinal trajectories of illness perceptions among stroke patients and decision tree analysis of core determinants
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    摘要:

    目的 探讨脑卒中患者从发病急性期至恢复期的疾病感知变化轨迹,分析不同轨迹亚型的预测因素,为针对干预提供参考。 方法 对192例脑卒中住院患者采用一般资料调查表、简易疾病感知问卷、Herth希望量表、医院焦虑抑郁量表进行基线调查,于调查后1、3、6个月随访患者的疾病感知水平。分析不同时点疾病感知水平差异,采用潜变量增长混合模型识别潜在变化轨迹亚组,并采用决策树模型分析变化轨迹亚型的核心影响因素。 结果 脑卒中患者4个时间点的疾病感知得分为45.16±15.46、40.30±15.43、35.07±15.32、27.38±14.56,各时间点得分差异有统计学意义(P<0.01)。识别出中疾病感知-快速下降组(83.9%)、高疾病感知-缓慢下降组(16.1%)2条疾病感知潜在变化轨迹。决策树模型显示,希望、脑卒中发作次数、抑郁、焦虑、职业状态与年龄均可预测患者疾病感知变化轨迹亚型,其中希望重要性为100%。 结论 脑卒中患者的疾病感知总体呈逐渐下降趋势,变化轨迹存在群体异质性,希望是其核心影响因素。应根据预测指标早期识别高疾病感知缓慢下降组患者,并构建以希望为核心的干预方案,以降低其疾病感知水平。

    Abstract:

    Objective To explore the distinct longitudinal trajectories of illness perceptions among stroke patients from the acute stage to the convalescence stage and to analyze the determinants of these trajectories. Methods A total of 192 stroke patients were surveyed by utilizing the general information questionnaire, Brief Illness Perception Questionnaire (BIPQ), Herth Hope Scale, Hospital Anxiety and Depression Scale during hospitalization.They were invited to complete the BIPQ at 1, 3 and 6 months post baseline survey. The difference in illness perception at different time points was analyzed, growth mixture model was employed to identify patterns of illness perception change, and decision tree analysis was performed to explore the core determinants of these trajectories. Results The total BIPQ score at 4 time points was 45.16±15.46, 40.30±15.43, 35.07±15.32 and 27.38±14.56 respectively, showing significant difference (P<0.01). Two clusters of the trajectories of illness perception were identified, and designated as ′average illness perception and rapid decline′ (83.9%) and ′high illness perception and slow decline′ (16.1%).The decision tree model showed that hope, the number of stroke attacks, depression, anxiety, occupational status and age could predict the trajectories.Hope was of paramount importance for it was the root node of the decision tree. Conclusion Illness perception of stroke patients declines post stroke, and shows group heterogeneity. Hope is a core predictor. Patients with high illness perception and slow decline trajectory should be identified as early as possible based on the predictors, and hope may be an additional target of treatment, thus to reduce their illness perception.

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郭玉成,闫蕊,张文越,刘世伟,吕雨梅.脑卒中患者疾病感知变化轨迹及核心影响因素决策树分析[J].护理学杂志,2022,37(3):20-24

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  • 收稿日期:2021-09-26
  • 最后修改日期:2021-11-03
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  • 在线发布日期: 2023-08-28