Use of the Delphi Method in the Construction of the Temperature Chain Management Scheme for Da Vinci Robot-Assisted Urological Surgical Patients

医学 德尔菲 方案(数学) 外科 手术机器人 机器人 德尔菲法 普通外科 人工智能 计算机科学 操作系统 数学 数学分析
作者
Fengxia Chen,Huiying Li,Xin Liang,Tiantian Liu
出处
期刊:Therapeutic hypothermia and temperature management [Mary Ann Liebert, Inc.]
标识
DOI:10.1089/ther.2024.0048
摘要

The study aimed to construct a temperature chain management scheme in patients undergoing Da Vinci Robot-assisted surgery in urological surgical patients by the Delphi method, providing a reference for the prevention and treatment of the inadvertent perioperative hypothermia. First, instructing by the Joanna Briggs Institute (JBI) Evidence-Based Healthcare model and systematically reviewing literature related to the prevention and treatment of perioperative hypothermia in Da Vinci robot-assisted surgery patients in the urological surgical patients from guideline-related websites and professional association websites. Second, carrying out the qualitative interviews, which were conducted with medical staff in the urology department and the Da Vinci robot-assisted surgery team in a teaching hospital. Third, a temperature chain management scheme draft was obtained by a panel meeting. Finally, using the Delphi method to evaluate the draft, demonstrating its scientificity and feasibility, and obtaining the final scheme. The temperature chain management scheme constructed by a Delphi method, embraced seven links from preoperative ward, preoperative transfer, anesthesia waiting room, operating room, postanesthesia recovery room, postoperative transfer, and postoperative ward. The enthusiasm degree of both rounds of expert consultation was 100%, with expert authority levels of 0.875 and 0.888, respectively, indicating good representativeness and authority. Kendall's coefficient in two rounds was 0.220 and 0.400, respectively, indicating a trend toward consensus among experts, which indicated the scheme had a high degree of credibility and feasibility. The temperature chain management scheme for Da Vinci robot-assisted surgery patients in the urology department, constructed by the Delphi method, is both scientific and feasible.

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