Exploring the Effectiveness of Nursing Interventions for Postoperative Pain Management in Aortic Dissection: A Fuzzy Logic and Network Analysis

探讨护理干预措施对主动脉夹层术后疼痛管理的有效性:一种模糊逻辑和网络分析方法

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Abstract

OBJECTIVE: To explore effective nursing interventions for severe pain in the early postoperative period following aortic dissection, using a configurational and network perspective. METHODS: Convenience sampling was employed, selecting 116 patients from the Vascular Surgery Department of Shanxi Provincial People's Hospital between August 2021 and March 2024. Patients who underwent aortic dissection surgery and had a VAS (Visual Analog Scale) pain score of 6 or higher were provided comprehensive nursing interventions for one week, which included analgesics, cold compresses, musicotherapy, mental intervention, posture guidance, and light physical activity. Nursing intervention was treated as the antecedent variable, while changes in VAS scores were considered the outcome variable of analgesic efficacy. Fuzzy-set qualitative comparative analysis (fsQCA) and network analysis were used to identify the most effective analgesic interventions. RESULTS: No single nursing intervention was found to be a necessary condition for good postoperative analgesia. Five configurations were found to contribute to effective analgesia, with an overall consistency of 0.959 and overall coverage of 0.262. Cold compresses and musicotherapy emerged as important core conditions. Network analysis showed that cold compresses, posture guidance, and musicotherapy had a direct positive effect on pain relief, while analgesics and mental interventions had less apparent effects, and light physical activity could potentially be detrimental to pain relief. CONCLUSION: For early postoperative pain following aortic dissection, besides providing analgesics and psychological counseling as needed, cold compresses and musicotherapy should be tailored according to patient preferences to promote analgesic efficacy.

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