国际医药卫生导报 ›› 2024, Vol. 30 ›› Issue (3): 460-464.DOI: 10.3760/cma.j.issn.1007-1245.2024.03.022

• 骨科专栏 • 上一篇    下一篇

失效模式与效应分析在骨折患者术后护理中的应用

杨静1  刘阳子2   

  1. 1济南市中心医院绿景社区卫生服务中心,济南 250001;2济南市中心医院脊柱关节外科,济南 250001

  • 收稿日期:2023-09-06 出版日期:2024-02-01 发布日期:2024-03-06
  • 通讯作者: 刘阳子,Email:liu-yangzi@163.com
  • 基金资助:

    山东省自然科学基金(ZR2021MH343)

Application of failure mode and effect analysis in postoperative care for fracture patients

Yang Jing1, Liu Yangzi2   

  1. 1 Lyujing Community Health Service Center, Jinan Central Hospital, Jinan 250001, China; 2 Department of Spinal and Joint Surgery, Jinan Central Hospital, Jinan 250001, China

  • Received:2023-09-06 Online:2024-02-01 Published:2024-03-06
  • Contact: Liu Yangzi, Email: liu-yangzi@163.com
  • Supported by:

    Shandong Natural Science Foundation (ZR2021MH343)

摘要:

目的 探讨失效模式与效应分析在骨折患者术后护理中的应用。方法 选取2022年1月至12月在济南市中心医院收治的60例骨折手术患者进行随机对照试验,采用随机数字表法将其分为对照组和观察组,各30例。对照组男19例、女11例,年龄(49.20±2.01)岁,接受常规护理;观察组男17例、女13例,年龄(49.46±2.33)岁,接受失效模式与效应分析护理干预。通过在院调查及跟踪随访,于患者入院当天与术后30 d时,使用运动功能量表(FMA)、欧洲五维健康量表(EQ-5D)评估两组患者运动功能与生活质量情况,并对两组患者术后30 d内的并发症发生情况进行比较。采用t检验、χ2检验。结果 术后30 d,观察组反射活动[(4.65±0.77)分]、共同运动[(12.03±1.37)分]、分离运动[(3.03±1.22)分]、协调/速度评分[(2.59±0.92)分]均高于对照组[(4.01±1.02)分、(11.30±1.26)分、(2.49±1.01)分、(2.10±0.89)分],差异均有统计学意义(t=2.743、2.148、2.075、2.097,均P<0.05)。术后30 d,观察组行动能力[(2.01±0.64)分]、自我管理能力[(1.95±0.43)分]、活动能力[(1.82±0.26)分]、疼痛或不适[(2.01±0.27)分]、焦虑或抑郁评分[(1.92±0.14)分]均高于对照组[(1.78±0.14)分、(1.72±0.34)分、(1.67±0.27)分、(1.90±0.12)分、(1.78±0.30)分],差异均有统计学意义(t=2.013、2.298、2.192、2.039、2.316,均P<0.05)。观察组术后并发症发生率[3.33%(1/30)]低于对照组[20.00%(6/30)],差异有统计学意义(χ2=4.043,P=0.044)。结论 失效模式与效应分析能够改善骨折手术患者运动功能,提升生活质量,有效降低并发症发生率。

关键词:

骨折, 失效模式与效应分析, 运动功能, 生活质量, 并发症

Abstract:

Objective To analyze the application and influence of failure modes and effect analysis in postoperative care for fracture patients. Methods Sixty fracture patients surgically treated at Jinan Central Hospital from January to December 2022 were selected for the randomized controlled trial, and were divided into a control group and an observation group by the random number table method, with 30 cases in each group. There were 19 men and 11 women in the control group; they were (49.20±2.01) years old. There were 17 men and 13 women in the observation group; they were (49.46±2.33) years old. The control group took routine care; the observation group took the nursing intervention of the failure mode and effect. analysis Through hospital investigation and follow-up, the motor function and quality of life were evaluated by the Fugl-Meyer Assessment (FMA) and European Quality of Life 5-Dimensions (EQ-5D) on the day of admission and 30 d after the surgery. The incidences of complications within 30 d after the surgery were compared between the two groups. t and χ2 tests were applied. Results Thirty days after the surgery, the scores of reflex activity, synergy movement, separated movement, and coordination/speed in the observation group were higher than those in the control group [(4.65±0.77) vs. (4.01±1.02), (12.03±1.37) vs. (11.30±1.26), (3.03±1.22) vs. (2.49±1.01), and (2.59±0.92) vs. (2.10±0.89)], with statistical differences (t=2.743, 2.148, 2.075, and 2.097; all P<0.05). Thirty days after the surgery, the scores of mobility, self-management ability, activity, pain/uncomfortableness, and depression or anxiety in the observation group were higher than those in the control group [(2.01±0.64) vs. (1.78±0.14), (1.95±0.43) vs. (1.72±0.34), (1.82±0.26) vs. (1.67±0.27), (2.01±0.27) vs. (1.90±0.12), and (1.92±0.14) vs. (1.78±0.30)], with statistical differences (t=2.013, 2.298, 2.192, 2.039, and 2.316; all P<0.05). The incidence of postoperative complications in the observation group was lower than that in the control group [3.33% (1/30) vs. 20.00% (6/30)], with a statistical difference (χ2=4.043; P=0.044). Conclusion Failure mode and effect analysis for fracture surgery patients can significantly improve their motor function and quality of life, and effectively reduce the incidence of complications.

Key words:

Fracture, Failure mode and effect analysis, Motor function, Quality of life, Complications