Objective To explore the application effects of innovative health education on patients undergoing ambulatory laparoscopic cholecystectomy (LC). Methods A total of 139 patients undergoing ambulatory LC from November to December 2016 were selected as the control group, receiving the traditional health education; and other 141 patients undergoing ambulatory LC from February to March 2017 were selected as the observation group, receiving the innovative health education. The two groups were followed up and observed 1 day, 2, and 28 days after the discharge, and the incidence rates of adverse reactions such as postoperative pain, bleeding and incision infection were measured, and the disease knowledge mastery, self-care skills, medication compliance and satisfaction to nursing and hospital were evaluated. Results The total incidence rate of adverse reactions was 7.8% in the observation group and 25.2% in the control group (P<0.001). Medication compliance from high to low was 90, 46 and 5 cases in the observation group and 59, 64 and 16 cases in the control group (P<0.001). In the observation group, the scores of disease knowledge mastery, self-care cognition, nursing satisfaction and hospital satisfaction were 93.4±5.5, 91.4±4.5, 96.4±3.7 and 98.1±3.7, respectively, which were higher than those in the control group (83.8±8.7, 83.2±9.1, 91.5±9.2 and 94.8±7.3, respectively) with statistical significance (P<0.001). Conclusion Innovative health education has certain application effects on ambulatory LC, and it can significantly improve disease knowledge mastery and self-care cognition, and help to ensure the medical quality and safety during perioperative period, and improve the patients’ satisfaction.
Objective To analyze the clinical effect of individualized pain nursing intervention on the pain relieving after ambulatory laparoscopic cholecystectomy (LC) . Methods From March to June 2017, a total of 180 ambulatory LC patients were selected and randomly asigned into the control group and the intervention group with 90 cases in each group. Parecoxib sodium (40 mg) was preoperatively administrated half an hour before the surgery to the patients in both of the two groups. The patients in the control group were treated with routine nursing intervention, while the ones in the intervention group were given individualized pain nursing interventions, including regular pain assessment, preoperative pain health guidance, enhanced education for pain related knowledge, and following the nursing theory of enhanced recovery after surgery. Visual Analogue Scale (VAS) was used to measure the degree of postoperative pain, and the data of dormant pain were collected. Results There was no significant difference between the two groups in VAS one hour after the operation (P>0.05); the VAS scores 2, 6 and 12 hours after the operation gradually decreased in the two groups (P<0.05), and the scores of patients in the intervention group were much lower than those in the control group (P<0.05). The time of pain relieving in the intervention group and the control group was (3.25±1.72) and (5.39±2.06) hours, respectively, and the difference was statistically significant (P<0.05). The incidence of dormant pain in the intervention group (12.2%) was lower than that in the control group (33.3%), and the difference was statistically significant (P<0.05). Conclusion Individualized pain nursing interventions can effectively alleviate the postoperative pain and improve the quality of sleep in ambulatory LC patients.
Objective To investigate the impact of staggered admission based on work system on waiting time and peak patient flow for day surgery patients. Methods A non-synchronous controlled intervention design was employed. Patients admitted to Day Surgery Center, West China Hospital, Sichuan University between June 11 and June 24, 2024, were designated as the control group, while patients admitted between July 8 and July 21, 2024, constituted the intervention group. The control group followed a centralized admission protocol with an admission window from 08:00 to 09:00, with patients notified of their arrival times by appointment nurses via phone. In contrast, the intervention group implemented a staggered admission schedule based on surgical scheduling, designating arrival times for first surgery, flexible, centralized, and turnover patients, supplemented by phone and text message reminders. The differences in waiting time and patient flow across time segments between the two groups were analyzed using the rank-sum test and chi-square test. Results Finally, 206 patients in the intervention group and 210 patients in the control group were enrolled in the study. The intervention group demonstrated significantly shorter admission waiting time for all admitted patients [22.0 (9.0, 44.0) vs. 35.0 (17.0, 55.0) min], admitted patients with normal conditions [15.0 (8.5, 34.5) vs. 31.0 (16.5, 48.0) min], and admitted patients with abnormal conditions [82.5 (51.0, 99.0) vs. 101.0 (76.0, 133.0) min], with statistically significant differences (P<0.05). During the peak hours from 08:00 to 10:00, the median patient flow in the intervention group was significantly lower than that in the control group (P<0.001). Specifically, during the peak period from 08:31 to 09:00, the median patient flow decreased from 34 (29, 36) to 25 (21, 27) , revealing a statistically significant difference (P<0.001). Conclusions Staggered admission can effectively reduce waiting times for day surgery patients across various admission scenarios and alter the distribution of patient flow during peak periods. Furthermore, the application of work system theory provides a theoretical basis for analyzing the complexity and uncertainty of day surgery admission management.