Construction and application of the "coordinate multidisciplinary care model" in elderly patients undergoing radical cystectomy based on QCC

基于质量控制中心(QCC)构建和应用“协调多学科诊疗模式”于接受根治性膀胱切除术的老年患者。

阅读:1

Abstract

OBJECTIVE: This study aims to develop and evaluate a multidisciplinary care model utilizing Quality Control Circle (QCC) methodology for elderly patients undergoing radical cystectomy. METHODS: This comparative study included patients who underwent radical cystectomy at Zhujiang Hospital between May 2022 and July 2023 (pre-improvement group, n ​= ​65) and between August 2023 and July 2024 (post-improvement group, n ​= ​41). The QCC team implemented four key interventions: a case manager-led collaborative team, a comprehensive care information platform, tiered holistic care management protocols, and an evidence-based referral system. Patient outcomes were assessed using the FACT-Bl scale, discharge readiness measurements, and hospitalization duration. RESULTS: Post-implementation FACT-Bl scores demonstrated significant improvements across all dimensions (P ​< ​0.05), with the most notable gains in functional well-being (8.52%, P ​< ​0.001), followed by emotional well-being (5.88%, P ​= ​0.002), social/family well-being (5.26%, P ​= ​0.002), and physical well-being (5.00%, P ​= ​0.016). The bladder cancer-specific subscale improved by 3.73% (P ​= ​0.018), contributing to a 6.08% increase in total score (P ​< ​0.001). While hospitalization duration remained comparable between groups (17.00 vs. 19.00 days, P ​= ​0.771), discharge readiness significantly improved by 7.95% (P ​= ​0.001). CONCLUSIONS: Implementation of this QCC-based multidisciplinary care model significantly enhanced quality of life and discharge readiness in elderly bladder cancer patients undergoing radical cystectomy. This approach offers a transferable framework that could benefit various clinical settings focused on optimizing geriatric care.

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。