患者报告结果测量信息系统中国癌症儿童儿科症状概况:潜在概况分析。
Patient-Reported Outcomes Measurement Information System Pediatric Symptom Profiles of Children With Cancer in China: A Latent Profile Analysis.
发表日期:2023 Oct 30
作者:
Yanyan Liu, Danyu Li, Nanping Shen, Wen Zhang, Fen Zhou, Changrong Yuan
来源:
Best Pract Res Cl Ob
摘要:
不愉快的症状在患有癌症的儿童中很常见。然而,在中国识别具有相似自我报告症状水平的癌症儿童亚组的研究有限。本研究旨在对癌症儿童的症状特征进行分类,并检测这些特征的可能预测因素及其对儿童治疗质量的影响。共有 272 名 8 至 17 岁的儿童完成了中文版的儿科患者报告结果测量信息系统简表测量、儿科 QOL 调查表一般核心和癌症模块。潜在特征分析用于识别症状特征,序数逻辑回归和方差分析用于检查症状特征成员资格的预测因素和生活质量特征差异。最适合的是 3 特征模型:低、中和重度症状苦恼。过去 7 天内住院且目前正在接受治疗的儿童更有可能出现严重症状。低症状痛苦概况的参与者报告的生活质量显着高于其他概况的参与者。患有癌症的儿童在症状经历方面存在差异。儿童的特征,例如住院病史和治疗状态,是概况的预测因素;不同的症状特征与生活质量相关。这项研究确定了可预测出现较高症状的不同患者群体及其预测因素,这可能有助于将儿童置于一个特征范围内,并可能允许护士提供有针对性的支持性护理,以匹配儿童的特定症状特征。版权© 2023 Wolters Kluwer Health, Inc. 保留所有权利。
Unpleasant symptoms are common in children with cancer. However, research identifying subgroups of children with cancer who experience similar levels of self-reported symptoms in China is limited.This study aimed to classify the symptom profiles of children with cancer and detect the possible predictors of the profiles and their effect on children's quality of life (QoL).A total of 272 children aged 8 to 17 years completed the Chinese version of the Pediatric Patient-Reported Outcomes Measurement Information System short form measures, the Pediatric QOL Inventory general core and cancer modules. Latent profile analysis was used to identify symptom profiles, and ordinal logistic regression and analysis of variance were used to examine predictors of symptom profile membership and profile differences on QoL.The best fit was a 3-profile model: low, moderate, and severe symptom distress. Children who had been inpatients in the past 7 days and were currently under treatment are more likely to have severe symptoms. Participants in the low symptom distress profile reported significantly greater QoL than those in the other profiles.Children with cancer are heterogeneous in their experience of symptoms. Children's characteristics, such as inpatient history and treatment status, are predictors of profiles; different symptom profiles are associated with QoL.This study identified distinct groups of patients who predictably experience higher symptoms and their predictors, which could help to place children within a profile and perhaps allow nurses to provide targeted supportive care to match children's specific symptom profile.Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.