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骨科患者术后疼痛控制影响因素的灰色关联分析 |
Grey Relational Analysis of Influential Factors of Postoperative Pain Control in Orthopedic Patients |
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DOI: |
中文关键词: 灰色关联分析 术后疼痛控制 影响因素 |
英文关键词:Grey relational analysis Postoperative pain control Influential factor |
基金项目:山西省卫生计生委科研课题(编号:2015045) |
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中文摘要: |
摘 要 目的:分析骨科患者术后急性疼痛控制的现状,探讨影响疼痛控制的主要因素,为临床选择镇痛药物和方案提供参考依据。 方法:运用灰色关联分析法,对某院2016年3~4月的骨科手术患者病例资料中的指标进行回顾性分析。结果:术后疼痛控制各影响因素的关联度由高到低依次为:手术类型>患者自控镇痛泵(Patient controlled analgesia, PCA)类型>给药方式>镇痛药类型>医疗保险类型>使用镇痛药数量>性别>年龄。结论:大创伤手术后的疼痛控制尤为重要和棘手;对患者加强疼痛认识和PCA使用方法的宣教,提高PCA使用正确率和镇痛效果;深入研究PCA高效镇痛配方,提高PCA有效率。 |
英文摘要: |
ABSTRACT Objective:To analyze the status of postoperative pain control in orthopedic patients, exploring the main factors affecting pain control, further provide references for clinical selection of analgesic drugs and development of medicine regimes.Methods:The grey relational analysis was used to retrospectively analyze the indexes from the medical records of orthopedic surgery patients in a hospital from March to April 2016. Results:The high to low corrections of the influential factors of postoperative pain control were as follows: surgery types> patient controlled analgesia types> mode types of delivery> analgesics types> medical insurance types> analgesics used amount> sex> age. Conclusion:It was especially important and tricky for pain control after big traumatic surgery; Reinforced education to patients of pain and PCA use could improve the correct use rate and analgesic effects of PCA; Deep study of PCA efficient analgesic formula could improve the effective rate of PCA. |
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