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Use of the Delphi Method in the Construction of the Temperature Chain Management Scheme for Da Vinci Robot-Assisted
Fengxia Chen1, Huiying Li2, Xin Liang2
1Nursing School, Sanquan College of Xinxiang Medical University, Xinxiang, China.
Abstract:
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.

