Application of Integrated Medical and Nursing Care Model in the Perioperative Period of Endoscopic Precision Surgery
Journal: Advanced Journal of Nursing DOI: 10.32629/ajn.v5i2.2451
Abstract
Objective: This study aims to evaluate the application effects of the integrated medical and nursing care model in the perioperative period of endoscopic precision surgery, to improve surgical efficiency and patient satisfaction. Methods: A prospective randomized controlled study design was adopted. From January 2023 to December 2023, 240 patients who underwent endoscopic precision surgery in our hospital were selected and randomly divided into an experimental group (120 patients) and a control group (120 patients). The experimental group implemented an integrated medical and nursing care management model, while the control group used traditional perioperative management. The surgery time, hospital stay, postoperative complication rate, and patient satisfaction of the two groups were compared. Results: The average surgery time of the experimental group was 15% shorter than that of the control group (P<0.05), and the average hospital stay was reduced by 20% (P<0.01). The postoperative complication rate of the experimental group was 5%, compared to 15% for the control group (P<0.05). In the patient satisfaction survey, the satisfaction score of the experimental group (9.2±0.8) was significantly higher than that of the control group (7.5±1.2) (P<0.001). Conclusion: The integrated medical and nursing care model can significantly improve the efficiency and quality of perioperative management in endoscopic precision surgery, shorten surgery time and hospital stay, reduce the incidence of complications, and enhance patient satisfaction. It is recommended that the integrated medical and nursing care model be widely used in perioperative management of endoscopic precision surgery.
Keywords
integrated medical and nursing care model; endoscopic precision surgery; perioperative management; patient satisfaction
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Copyright © 2024 Xiaorong Yang, Xiaojing He, Ying Li, Shasha Liu, Zhiquan Peng
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