Qualitative Analysis of Pain in Patients With Locally Advanced or Metastatic Urothelial Carcinoma

局部晚期或转移性尿路上皮癌患者疼痛的定性分析

阅读:1

Abstract

BACKGROUND: Pain is not well described in patients with locally advanced or metastatic urothelial cancer (la/mUC). OBJECTIVE: To characterize pain and assess the content validity of the Brief Pain Inventory Short Form (BPI-SF) worst pain item in patients with la/mUC receiving first-line treatment in the US. METHODS: Qualitative interviews were conducted in patients aged≥45 years with confirmed la/mUC, self-reported la/mUC-attributed pain before enrollment, and no major surgery≤3 months prior to being interviewed. Interview participants were asked open-ended questions about their la/mUC symptoms and pain. "Think aloud" cognitive debriefing was conducted for the BPI-SF worst pain item. RESULTS: Ten participants with laUC and six (38%) with mUC were interviewed. First-line treatments included cisplatin (n = 14; 88%) or carboplatin (n = 2; 13%). The average past-week worst pain score (0-10 scale) was 6.2 (range, 3-10); seven (44%) participants reported severe pain (score≥7). Pain was most frequently reported in the back (n = 14; 88%) and/or pelvic/lower abdominal area (n = 10; 63%). Pain impacted all participants' physical and daily activities; 81% reported it impacted their overall quality of life. All participants interpreted and completed the BPI-SF worst pain item without difficulty; 15 (94%) reported it was relevant to their la/mUC experience. Participants understood the 24-hour recall period; most supported daily (n = 13; 81%) or weekly (n = 14; 88%) assessment, preferring electronic administration using their phone (n = 14; 88%). CONCLUSIONS: Pain attributed to la/mUC impacted physical and daily activities in all participants undergoing first-line treatment for la/mUC. Content validity was demonstrated for the BPI-SF worst pain item in this population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。