Effect of follow-up via WeChat applet on postoperative recovery in patients undergoing ambulatory knee arthroscopy surgery_West China Medical Journal

Authors：

LI Fei ¹ , MENG Xudong ² , LIU Beibei ² , LIU Huan ² , ZHANG Jing ² ,  LI Lunlan ¹ , LU Yao ²

1. Department of Nursing, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China;
2. Ambulatory Surgery Center, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China;

Corresponding author：

LI Lunlan, Email: lilunlan@aliyun.com

Keywords：

WeChat applet; ambulatory surgery; arthroscopy; postoperative recovery quality; satisfaction

DOI：

10.7507/1002-0179.202504118

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To compare the effects of WeChat applet follow-up and traditional follow-up on postoperative recovery quality of patients undergoing ambulatory knee arthroscopy surgery. Methods Participants who planned to undergo knee arthroscopic meniscus repair in the Ambulatory Surgery Center of the First Affiliated Hospital of Anhui Medical University between September 2024 and April 2025 were enrolled. Patients were divided into WeChat applet follow-up group (App group) and traditional telephone follow-up group (control group) by random number table method. The basic information of patients was collected, and the quality of recovery, pain score, medication use, nausea and vomiting, sleep quality, analgesic satisfaction and satisfaction with treatment were evaluated on the first and third day after surgery. Results A total of 80 patients was enrolled, with 40 patients in each group. There were no significant differences in baseline characteristics between the two groups (P>0.05). The total score of postoperative recovery quality in the control group was lower than that in the App group [postoperative day 1: (108.2±9.6) vs. (112.5±9.2) scores, postoperative day 3: (112.0±9.1) vs. (118.3±8.7) scores], physiological comfort [postoperative day 1: (21.8±2.9) vs. (23.4±2.7) scores, postoperative day 3: (23.1±2.6) vs. (25.6±2.4) scores]. There were no significant differences between the two groups in postoperative nausea and vomiting, length of stay in post-anesthetic care unit, total dosage of postoperative analgesics, time to first report of pain, time to first request for analgesia, sleep quality score on the night after surgery, and analgesic satisfaction score within 24 hours after surgery (P>0.05). The satisfaction score of the App group was higher than that of the control group at 1 week after surgery (P<0.001). Conclusion Compared with the traditional follow-up method, the follow-up based on the WeChat applet can effectively improve the early postoperative recovery quality and treatment satisfaction of patients undergoing ambulatory knee arthroscopy surgery, and has no significant effect on other clinical outcomes.

1.	冉启果, 王建伟, 那蕊, 等. 基于微信小程序的延续护理模式建立及在关节镜手术患者中的应用. 昆明医科大学学报, 2020, 41(4): 172-176.
2.	覃兆军, 马广胜, 向春艳, 等. 基于加速康复外科膝关节镜日间手术模式与传统住院模式的对比研究. 安徽医药, 2023, 27(4):711-715.
3.	郑希, 徐丹, 黄玥, 等. 胸腔镜肺叶切除术后肺癌患者电话随访失访原因分析及影响因素研究. 中国全科医学, 2019, 22(14):1702-1706.
4.	张艳云, 孙振涛, 刘萍. 基于移动医疗软件的术后随访在日间手术患者中的应用. 中国临床护理, 2023, 15(8): 494-496.
5.	Liu H, Liu X, Lu Y. Use of WeChat applet in the management of ambulatory surgery. Int J Surg, 2023, 109(3): 655-657.
6.	Myles PS, Shulman MA, Reilly J, et al. Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysis. Br J Anaesth, 2022, 128(6): 1029-1039.
7.	Le Bescond V, Petit-Phan J, Campfort M, et al. Validation of the postoperative Quality of Recovery-15 questionnaire after emergency surgery and association with quality of life at three months. Can J Anaesth, 2024, 71(5): 590-599.
8.	Zhu S, Qian W, Jiang C, et al. Enhanced recovery after surgery for hip and knee arthroplasty: a systematic review and Meta-analysis. Postgrad Med J, 2017, 93(1106): 736-742.
9.	Echeverri-Mallarino V, Rodríguez Romero VA. Validation and cross-cultural adaptation of the Quality of Recovery-15 questionnaire in a Spanish-speaking population in Colombia. BJA Open, 2023, 8: 100231.
10.	Temple-Oberle C, Yakaback S, Webb C, et al. Effect of smartphone app postoperative home monitoring after oncologic surgery on quality of recovery: a randomized clinical trial. JAMA Surg, 2023, 158(7): 693-699.
11.	Monárrez R, Mohamadi A, Drew JM, et al. Mobile application’s effect on patient satisfaction and compliance in total joint arthroplasty: a systematic review and meta-analysis. J Am Acad Orthop Surg Glob Res Rev, 2023, 7(9): e22.00200.
12.	Papadopoulos P, Soflano M, Connolly T. A digital health intervention platform (active and independent management system) to enhance the rehabilitation experience for orthopedic joint replacement patients: usability evaluation study. JMIR Hum Factors, 2024, 11: e50430.
13.	Myles PS, Weitkamp B, Jones K, et al. Validity and reliability of a postoperative quality of recovery score: the QoR-40. Br J Anaesth, 2000, 84(1): 11-15.
14.	van Hout L, Harker MJR, Vriens PWHE, et al. Identifying postoperative complications after inguinal hernia repair with a smartphone application: a comparative cohort study. Hernia, 2024, 28(4): 1265-1274.
15.	Scherer J, Keller F, Pape HC, et al. Would patients undergo postoperative follow-up by using a smartphone application?. BMC Surg, 2020, 20(1): 229.
16.	Kara U, Şimşek F, Kamburoğlu H, et al. Linguistic validation of a widely used recovery score: quality of recovery-15 (QoR-15). Turk J Med Sci, 2022, 52(2): 427-435.
17.	Anuyah S, Singh MK, Nyavor H. Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care. World J Adv Res Rev, 2024, 24(3): 1-25.
18.	Shaik T, Tao X, Higgins N, et al. Remote patient monitoring using artificial intelligence: current state, applications, and challenges. WIREs, 2023, 13(2): e1485.
19.	赵雯雯, 李鹏, 卢菲, 等. 多发性骨髓瘤患者人工智能随访系统的构建及应用. 中华护理杂志, 2023, 58(15): 1826-1830.

1. 冉启果, 王建伟, 那蕊, 等. 基于微信小程序的延续护理模式建立及在关节镜手术患者中的应用. 昆明医科大学学报, 2020, 41(4): 172-176.
2. 覃兆军, 马广胜, 向春艳, 等. 基于加速康复外科膝关节镜日间手术模式与传统住院模式的对比研究. 安徽医药, 2023, 27(4):711-715.
3. 郑希, 徐丹, 黄玥, 等. 胸腔镜肺叶切除术后肺癌患者电话随访失访原因分析及影响因素研究. 中国全科医学, 2019, 22(14):1702-1706.
4. 张艳云, 孙振涛, 刘萍. 基于移动医疗软件的术后随访在日间手术患者中的应用. 中国临床护理, 2023, 15(8): 494-496.
5. Liu H, Liu X, Lu Y. Use of WeChat applet in the management of ambulatory surgery. Int J Surg, 2023, 109(3): 655-657.
6. Myles PS, Shulman MA, Reilly J, et al. Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysis. Br J Anaesth, 2022, 128(6): 1029-1039.
7. Le Bescond V, Petit-Phan J, Campfort M, et al. Validation of the postoperative Quality of Recovery-15 questionnaire after emergency surgery and association with quality of life at three months. Can J Anaesth, 2024, 71(5): 590-599.
8. Zhu S, Qian W, Jiang C, et al. Enhanced recovery after surgery for hip and knee arthroplasty: a systematic review and Meta-analysis. Postgrad Med J, 2017, 93(1106): 736-742.
9. Echeverri-Mallarino V, Rodríguez Romero VA. Validation and cross-cultural adaptation of the Quality of Recovery-15 questionnaire in a Spanish-speaking population in Colombia. BJA Open, 2023, 8: 100231.
10. Temple-Oberle C, Yakaback S, Webb C, et al. Effect of smartphone app postoperative home monitoring after oncologic surgery on quality of recovery: a randomized clinical trial. JAMA Surg, 2023, 158(7): 693-699.
11. Monárrez R, Mohamadi A, Drew JM, et al. Mobile application’s effect on patient satisfaction and compliance in total joint arthroplasty: a systematic review and meta-analysis. J Am Acad Orthop Surg Glob Res Rev, 2023, 7(9): e22.00200.
12. Papadopoulos P, Soflano M, Connolly T. A digital health intervention platform (active and independent management system) to enhance the rehabilitation experience for orthopedic joint replacement patients: usability evaluation study. JMIR Hum Factors, 2024, 11: e50430.
13. Myles PS, Weitkamp B, Jones K, et al. Validity and reliability of a postoperative quality of recovery score: the QoR-40. Br J Anaesth, 2000, 84(1): 11-15.
14. van Hout L, Harker MJR, Vriens PWHE, et al. Identifying postoperative complications after inguinal hernia repair with a smartphone application: a comparative cohort study. Hernia, 2024, 28(4): 1265-1274.
15. Scherer J, Keller F, Pape HC, et al. Would patients undergo postoperative follow-up by using a smartphone application?. BMC Surg, 2020, 20(1): 229.
16. Kara U, Şimşek F, Kamburoğlu H, et al. Linguistic validation of a widely used recovery score: quality of recovery-15 (QoR-15). Turk J Med Sci, 2022, 52(2): 427-435.
17. Anuyah S, Singh MK, Nyavor H. Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care. World J Adv Res Rev, 2024, 24(3): 1-25.
18. Shaik T, Tao X, Higgins N, et al. Remote patient monitoring using artificial intelligence: current state, applications, and challenges. WIREs, 2023, 13(2): e1485.
19. 赵雯雯, 李鹏, 卢菲, 等. 多发性骨髓瘤患者人工智能随访系统的构建及应用. 中华护理杂志, 2023, 58(15): 1826-1830.

West China Medical Journal

Latest ArticlesEffect of follow-up via WeChat applet on postoperative recovery in patients undergoing ambulatory knee arthroscopy surgery

Abstract Full text Figures/Tables Video References Cited by

Format

Content