Suppr超能文献

如何处理困扰评分的筛查?将描述性数据纳入临床实践。

What to do with screening for distress scores? Integrating descriptive data into clinical practice.

机构信息

Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.

School of Psychology, Laval University, QC, Canada.

出版信息

Palliat Support Care. 2014 Feb;12(1):25-38. doi: 10.1017/S1478951513000059. Epub 2013 Aug 2.

Abstract

OBJECTIVE

Implementation of routine Screening for Distress constitutes a major change in cancer care, with the aim of achieving person-centered care.

METHOD

Using a cross-sectional descriptive design within a University Tertiary Care Hospital setting, 911 patients from all cancer sites were screened at the time of their first meeting with a nurse navigator who administered a paper questionnaire that included: the Distress Thermometer (DT), the Canadian Problem Checklist (CPC), and the Edmonton Symptom Assessment System (ESAS).

RESULTS

Results showed a mean score of 3.9 on the DT. Fears/worries, coping with the disease, and sleep were the most common problems reported on the CPC. Tiredness was the most prevalent symptom on the ESAS. A final regression model that included anxiety, the total number of problems on the CPC, well-being, and tiredness accounted for almost 50% of the variance of distress. A cutoff score of 5 on the DT together with a cutoff of 5 on the ESAS items represents the best combination of specificity and sensitivity to orient patients on the basis of their reported distress.

SIGNIFICANCE OF RESULTS

These descriptive data will provide valuable feedback to answer practical questions for the purpose of effectively implementing and managing routine screening in cancer care.

摘要

目的

实施常规痛苦筛查是癌症护理的重大变革,旨在实现以患者为中心的护理。

方法

在大学三级保健医院环境中使用横断面描述性设计,在与护士导航员首次会面时对来自所有癌症部位的 911 名患者进行筛查,护士导航员会发放纸质问卷,其中包括:痛苦温度计(DT)、加拿大问题清单(CPC)和埃德蒙顿症状评估系统(ESAS)。

结果

结果显示 DT 的平均得分为 3.9。在 CPC 上报告的最常见问题是恐惧/担忧、应对疾病和睡眠。在 ESAS 上,疲倦是最常见的症状。一个包含焦虑、CPC 上的总问题数、幸福感和疲倦的最终回归模型解释了痛苦变异的近 50%。DT 的得分 5 分和 ESAS 项目的得分 5 分相结合,代表了根据患者报告的痛苦程度对患者进行定向的最佳特异性和敏感性组合。

结果的意义

这些描述性数据将提供有价值的反馈,以回答实际问题,从而有效实施和管理癌症护理中的常规筛查。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验