Department of Urology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Department of Urology, Lishui Municipal Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
BMJ Open. 2023 Aug 8;13(8):e074763. doi: 10.1136/bmjopen-2023-074763.
Symptom monitoring and alerting based on patient-reported outcomes have proven valuable in a postoperative setting. However, the parameters of the implemented patient-centred symptom management system for patients with prostate cancer (PC) remain unclear. This study aims to develop a perioperative symptom scale (PSS) to monitor symptoms, determine the appropriate timing for symptom assessment and establish intervention criteria for physicians.
We will prospectively recruit 387 patients undergoing PC surgery in 3 hospitals. The Chinese version of the MD Anderson Symptom Inventory (MDASI) will be used for longitudinal symptom data collection, presurgery and 1, 2, 3, 5, 7, 14, 21, 28, 42 and 90 days post surgery. A PSS will be generated when symptoms change significantly over time. A linear mixed model will be used to determine appropriate follow-up time points. The functional status determined by MDASI interference can then be used to establish alarm thresholds.
This study was approved by the Lishui Municipal Central Hospital Ethics Committee on 13 April 2022 (No. LSMCHEC-2022-54) and the Ethics Committee of Huzhou Central Hospital on 5 July 2023 (No. HZCHEC-202306017-01), the Ethics Committee of the First Affiliated Hospital of Huzhou Normal College on 20 June 2023 (No. HZYYEC-2023KYLL055). The latest protocol used in this study was V.2.0, dated on 25 February 2023. Before publication in a peer-reviewed journal, our findings will be presented and discussed at relevant medical conferences.
ChiCTR2200059110.
基于患者报告结局的症状监测和报警已被证明在术后环境中具有重要价值。然而,前列腺癌(PC)患者实施的以患者为中心的症状管理系统的参数仍不清楚。本研究旨在开发一种围手术期症状量表(PSS),以监测症状,确定症状评估的适当时间,并为医生制定干预标准。
我们将前瞻性招募 3 家医院的 387 例接受 PC 手术的患者。将使用中文版 MD 安德森症状清单(MDASI)进行纵向症状数据收集,包括术前和术后 1、2、3、5、7、14、21、28、42 和 90 天。当症状随时间显著变化时,将生成 PSS。线性混合模型将用于确定适当的随访时间点。然后可以使用 MDASI 干扰确定的功能状态来建立报警阈值。
本研究于 2022 年 4 月 13 日获得丽水市中心医院伦理委员会(No. LSMCHEC-2022-54)和 2023 年 7 月 5 日获得湖州市中心医院伦理委员会(No. HZCHEC-202306017-01)的批准,2023 年 6 月 20 日获得湖州师范学院第一附属医院伦理委员会(No. HZYYEC-2023KYLL055)的批准。本研究使用的最新方案是 2023 年 2 月 25 日的 V.2.0 版。在发表于同行评议期刊之前,我们的研究结果将在相关医学会议上进行展示和讨论。
ChiCTR2200059110。