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癌症门诊患者不同症状体验维度的症状群。

Symptom clusters in outpatients with cancer using different dimensions of the symptom experience.

机构信息

School of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.

School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

Support Care Cancer. 2022 Aug;30(8):6889-6899. doi: 10.1007/s00520-022-07125-z. Epub 2022 May 11.

Abstract

PURPOSE

Relatively few studies have evaluated for symptom clusters across multiple dimensions. It is unknown whether the symptom dimension used to create symptom clusters influences the number and types of clusters that are identified. Study purposes were to describe ratings of occurrence, severity, and distress for 38 symptoms in a heterogeneous sample of oncology patients (n = 1329) undergoing chemotherapy; identify and compare the number and types of symptom clusters based on three dimensions (i.e., occurrence, severity, and distress); and identify common and distinct clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress ratings of 38 symptoms in the week prior to patients' next cycle of chemotherapy. Symptom clusters for each dimension were identified using exploratory factor analysis.

RESULTS

Patients reported an average of 13.9 (±7.2) concurrent symptoms. Lack of energy was both the most common and severe symptom while "I don't look like myself" was the most distressing. Psychological, gastrointestinal, weight gain, respiratory, and hormonal clusters were identified across all three dimensions. Findings suggest that psychological, gastrointestinal, and weight gain clusters are common while respiratory and hormonal clusters are distinct.

CONCLUSIONS

Psychological, gastrointestinal, weight gain, hormonal, and respiratory clusters are stable across occurrence, severity, and distress in oncology patients receiving chemotherapy. Given the stability of these clusters and the consistency of the symptoms across dimensions, the use of a single dimension to identify these clusters may be sufficient. However, comprehensive and disease-specific inventories need to be used to identify distinct clusters.

摘要

目的

很少有研究评估多个维度的症状群。用于创建症状群的症状维度是否会影响所确定的症状群的数量和类型尚不清楚。本研究的目的是描述接受化疗的肿瘤患者(n=1329)中 38 种症状的发生、严重程度和困扰的评分;基于三个维度(即发生、严重程度和困扰)确定和比较症状群的数量和类型;并识别常见和独特的症状群。

方法

使用改良后的 Memorial 症状评估量表(Memorial Symptom Assessment Scale)评估患者在下一次化疗周期前一周内 38 种症状的发生、严重程度和困扰评分。使用探索性因子分析确定每个维度的症状群。

结果

患者报告平均有 13.9(±7.2)种同时存在的症状。乏力是最常见和最严重的症状,而“我看起来不像自己”是最困扰的症状。在所有三个维度上都确定了心理、胃肠道、体重增加、呼吸和激素症状群。结果表明,心理、胃肠道和体重增加症状群很常见,而呼吸和激素症状群则比较独特。

结论

接受化疗的肿瘤患者中,心理、胃肠道、体重增加、激素和呼吸症状群在发生、严重程度和困扰方面是稳定的。鉴于这些症状群的稳定性和各维度症状的一致性,使用单一维度来识别这些症状群可能就足够了。但是,需要使用全面和特定于疾病的清单来识别独特的症状群。

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