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依托SWOT分析法的疼痛关爱干预模式对创伤性骨折患者睡眠质量观察

The Impact of Pain Care Intervention Model Based on SWOT Analysis on Sleep Quality in Patients with Traumatic Fractures
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摘要 目的:探讨依托SWOT分析法的疼痛关爱干预模式对创伤性骨折患者疼痛及睡眠质量的影响。方法:选取2021年7月至2023年6月德州市陵城区人民医院收治的创伤性骨折手术患者84例作为研究对象,随机分为观察组和对照组,每组42例。对照组开展常规护理,观察组开展依托SWOT分析法的疼痛关爱干预模式,比较2组患者的护理效果。结果:观察组术后2 h、6 h、24 h及48 h的VAS评分均低于对照组(P<0.05);干预后PSQI评分观察组比对照组明显更低(P<0.05);观察组骨折愈合时间、住院时间均短于对照组,术后并发症发生率低于对照组(P<0.05)。结论:针对创伤性骨折患者,开展依托SWOT分析法的疼痛关爱干预模式能够有效减轻患者疼痛感,提升睡眠质量,促进患者术后康复,值得临床推广。 Objective:To explore the impact of a pain care intervention model based on SWOT analysis on pain and sleep quality in patients with traumatic fractures.Methods:A total of 84 patients with traumatic fracture surgery admitted from July 2021 to June 2023 were selected as the study subjects and divided into observation group(n=42)and control group(n=42)by random stratification.The control group carried out routine care,and the observation group carried out a pain care intervention model based on the SWOT analysis method,comparing the nursing effect of the two groups of patients.Results:The VAS score of 2,6 h,24 h and 48 h after surgery in the observation group was lower than that in the control group(P<0.05).Compared to the control group,the observation group had significantly lower PSQI scores after intervention(P<0.05);the observation group had shorter hospital stays,shorter fracture healing times,and a lower incidence of postoperative complications than the control group(P<0.05).Conclusion:For patients with traumatic fractures,a pain care intervention model based on SWOT analysis can effectively alleviate pain,improve sleep quality,and promote postoperative recovery.It is worth promoting clinically.
作者 郭来虎 GUO Laihu(Dezhou Lingcheng District People′s Hospital Operating Room,Dezhou 253500,China)
出处 《世界睡眠医学杂志》 2024年第6期1227-1229,共3页 World Journal of Sleep Medicine
关键词 创伤性骨折 SWOT分析法 疼痛关爱干预模式 疼痛 睡眠质量 护理 满意度 预后 Traumatic fractures SWOT analysis method Pain care intervention model Pain Sleep quality Nursing Satisfaction Prognosis
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