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长期神经疾病患者的症状维度:基于患者为中心的姑息治疗结局症状量表的因子分析。

Symptom dimensions in people affected by long-term neurological conditions: a factor analysis of a patient-centred palliative care outcome symptom scale.

机构信息

Cicely Saunders Institute of Palliative Care, Policy & Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, Bessemer Road, London, SE5 9PJ, UK.

Hurstwood Park Neurological Centre, Brighton and Sussex University Hospitals, Lewes Road, Haywards Heath, RH16 4EX, UK.

出版信息

Sci Rep. 2019 Mar 21;9(1):4972. doi: 10.1038/s41598-019-41370-3.

Abstract

Long-term neurological conditions (LTNCs) often cause debilitating symptoms. Better understanding of symptom dimensions in LTNCs is needed to support health professionals and improve care. This can be achieved by exploring the factor structure of a standardised measure of symptoms in LTNC patients. The symptom subscale of the Integrated Palliative Outcome Scale for LTNCs (IPOS Neuro-S24) comprises 24 items measuring symptom severity. Descriptive statistics and psychometric properties of the scale were assessed, followed by differential item functioning (DIF), exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Data from N = 238 patients were analysed. The mean IPOS Neuro S-24 score was 27.0 (possible range 0-96) and floor effects were found for 21 items. The scale had good internal consistency (Cronbach's alpha = 0.77). Weak evidence of DIF was found for nine items. All but one item (falls) loaded onto four factors with loadings > 0.3. The factors represented four clinically meaningful symptom dimensions: fatigue, motor symptoms, oral problems and non-motor symptoms. We identified a reliable four-factor structure of symptom experience in LTNC patients. The results suggest that symptom dimensions are common across LTNCs. The IPOS Neuro S-24 is an appropriate tool to measure symptoms in LTNC patients, which may improve care.

摘要

长期神经病症常导致使人虚弱的症状。为了支持医疗专业人员并改善护理,需要更深入地了解长期神经病症患者的症状维度。这可以通过探索长期神经病症患者症状标准化测量工具的因素结构来实现。长期神经病症综合姑息治疗结局量表(IPOS Neuro-S24)的症状子量表包含 24 个项目,用于衡量症状严重程度。评估了该量表的描述性统计和心理测量特性,随后进行了差异项目功能分析(DIF)、探索性因子分析(EFA)和验证性因子分析(CFA)。对 N=238 名患者的数据进行了分析。IPOSNeuroS-24 的平均得分为 27.0(可能范围为 0-96),21 个项目存在地板效应。该量表具有良好的内部一致性(克朗巴赫α系数为 0.77)。有 9 个项目存在微弱的 DIF 证据。除了一项(跌倒)之外,所有项目的负荷均大于 0.3,归入四个因子。这四个因子代表四个具有临床意义的症状维度:疲劳、运动症状、口腔问题和非运动症状。我们确定了长期神经病症患者症状体验的可靠四因子结构。结果表明,症状维度在长期神经病症中较为常见。IPOSNeuroS-24 是一种适用于测量长期神经病症患者症状的工具,它可以改善护理。

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