Leeds Teaching Hospitals and St James Institute of Oncology, Leeds Dental Institute and Leeds General Infirmary, Leeds, UK.
School of Medicine, Medical and Biological Sciences, North Haugh, St Andrews, UK.
Int J Oral Maxillofac Surg. 2022 Aug;51(8):1000-1006. doi: 10.1016/j.ijom.2021.08.028. Epub 2021 Oct 20.
The aim of this work was to evaluate the usability of a single-page, patient-completed, condition-specific prompt list, the Patient Concerns Inventory (PCI-HN), to risk-stratify for poor health-related quality of life (HRQOL). Data were collected between 2008 and 2017. The main dataset comprised 310 patients first completing the PCI-HN and University of Washington Quality of Life questionnaire (UW-QOLv4) between 2012 and 2017. Another 201 patients first completing the PCI-HN between 2008 and 2011 provided a second dataset for independent validation. Subsequent completions of the PCI-HN in both groups and the distress thermometer (DT) were also used as further validation datasets. Associations between PCI-HN items selected by patients and a range of UW-QOLv4 outcomes were explored using conventional logistic regression and Chi-squared automated interaction detection (CHAID) analyses. One quarter of patients reported less than good HRQOL, range 26-29% across the four datasets. Several individual items from within the PCI-HN were predictive of adverse outcomes. The total number of items selected was also predictive. The single-sheet prompt list enables clinicians to identify patients at high risk of poor HRQOL. This simple approach has the potential to be integrated into routine clinical practice.
这项工作的目的是评估单页、患者完成的、特定于病情的提示清单——患者关注清单(PCI-HN)在预测健康相关生活质量(HRQOL)不良风险方面的可用性。数据收集于 2008 年至 2017 年。主要数据集包括 310 名患者,他们在 2012 年至 2017 年间首次完成了 PCI-HN 和华盛顿大学生活质量问卷(UW-QOLv4)。另外 201 名患者在 2008 年至 2011 年间首次完成了 PCI-HN,提供了第二个独立验证数据集。随后,两组患者对 PCI-HN 的后续完成情况以及痛苦温度计(DT)也被用作进一步验证数据集。使用常规逻辑回归和卡方自动交互检测(CHAID)分析,探讨了患者选择的 PCI-HN 项目与 UW-QOLv4 结果的一系列相关性。四组数据中,有四分之一的患者报告 HRQOL 较差,范围在 26%-29%。PCI-HN 中的几个单项预测了不良结局。选择的项目总数也具有预测性。单页提示清单使临床医生能够识别出 HRQOL 不良风险高的患者。这种简单的方法有可能被纳入常规临床实践。