广州医药 ›› 2018, Vol. 49 ›› Issue (1): 47-50.DOI: 10.3969/j.issn.1000-8535.2018.01.013

• 论著 • 上一篇    下一篇

降低院前病情识别风险的护理研究

李雪英, 肖小玲   

  1. 广州市第一人民医院南沙医院 (广州 510000)
  • 收稿日期:2017-09-22 出版日期:2018-01-20 发布日期:2021-12-01

Nursing research of reducing risk of patients' pre-hospital condition recognition

LI Xueying, XIAO Xiaoling   

  1. Guangzhou First People's Hospital Nansha Hospital,Guangzhou 510000,China
  • Received:2017-09-22 Online:2018-01-20 Published:2021-12-01

摘要: 目的 探讨降低院前病情识别风险的护理研究。方法 对106例患者进行院前急救护理,53例患者使用简单临床评分(SCS)作为对照组,53例患者采用改良早期预警评分(MEWS)模式作为观察组,并按照院前危重患者救治护理模式实施院前急救护理。比较救治结果。结果 观察组患者院前急救总耗时间缩短,转运成活率和满意度提高,转运并发症发生率低于对照组,差异有统计学意义(P<0.05)。MEWS评分评估28 d生存率的AUC为0.861(P<0. 001),临界值为6.98分,敏感度87.2%,特异度91.6%,优于SCS。结论 早期预警评分模式可以降低院前病情识别风险,提高救治成功率和护理质量,对患者预后有较好的敏感性和准确性。

关键词: 院前急救, 改良早期预警评分, 护理质量, 受试者工作曲线

Abstract: Objective To explore the nursing in reducing risk of patients' pre-hospital condition recognition. Methods 106 patients were treated by emergency care in pre-hospital period. Among all patients a simple clinical scoring condition assessment(SCS) were given to 53 patients, who were in control group, and other 53 cases were treated by modified early warning score model (MEWS), who were in observation group. Emergency care was given to all critical patients in pre-hospital period. Then we compared the effects. Results The pre-hospital consumed time was significantly less, transportation survival rate and satisfaction rate of patients were both higher, complication rate was lower in observation group than control group(P<0.05). The AUC was 0.861(P<0. 001) of MEWS for evaluating survival rate after 28 days by the ROC curve analysis. The score of cutoff value was 6.98, sensitivity was 87.2%, specificity was 91.6%, which were all better than SCS. Conclusion Early warning score model may decrease the risk of condition recognition in pre-hospital period, improve rescue success rate and nursing quality, providing a better sensitivity and accuracy for prognosis evaluation.

Key words: Pre-hospital first-aid, Modified early warning score, Nursing quality, ROC curve analysis