基于改良早期预警评分的监护方案联合现况-背景-评估-建议模式在心内科的应用
发布时间：2019-08-06 06:45
【摘要】：目的:探索早期识别心内科患者潜在危重病的程序化监护方案,建立病情早期预警工作流程以及科学有效、规范统一的医护沟通模板。方法:选取2014年10月至2016年2月入住我院心内科的210例患者,随机分为2组,观察组采取基于改良早期预警评分(modified early waring score,MEWS)的程序化监护方案联合现况-背景-评估-建议(situation-background-assessment-recommendation,SBAR)沟通模式;对照组采取传统的监护汇报方案,观察14 d,比较2组意外事件发生率、入住ICU率、医患满意率、护士对患者病情"十知道"知晓率;分析观察组实施前、实施第7天及实施第14天MEWS值与护理分级的相关性。结果:观察组与对照组意外事件发生率(3.92%vs.18.00%)、入住ICU率(0.00%vs.5.00%)、医患满意率(99.02%、97.06%vs.93.00%、90.00%)及护士对患者病情"十知道"知晓率(91.18%vs.77.00%)比较差异有统计学意义(P0.05);观察组MEWS值与护理级别呈正相关,且实施前、实施第7天及实施第14天相关系数rs分别为-0.683、-0.724及-0.895(P0.001),随着方案的实施,MEWS评分与护理分级的相关性越高。结论:基于MEWS的程序化监护方案联合SBAR模式用于心内科,可早期识别"潜在危重病",促进医护有效沟通,减少意外事件及入住ICU的发生,提高医患满意率;且MEWS值可为制定护理级别提供参考依据。因此,在心内科建立病情早期预警工作流程以及科学有效、规范统一的医护沟通模板具有较好的应用价值。
[Abstract]:Objective: to explore the programmed monitoring scheme for early identification of potential critical illness of patients in cardiology department, and to establish the work flow of early warning of illness and a scientific, effective and standardized medical and nursing communication template. Methods: from October 2014 to February 2016, 210 patients admitted to the Department of Cardiology in our hospital were randomly divided into two groups. The observation group was treated with the combined status, background, evaluation and suggestion (situation-background-assessment-recommendation,SBAR) communication mode of programmed monitoring scheme based on improved early warning score (modified early waring score,MEWS). The control group adopted the traditional monitoring and reporting scheme, observed for 14 days, compared the incidence of accidents, the rate of admission to ICU, the satisfaction rate of doctors and patients, and the awareness rate of nurses to the patient's condition, and analyzed the correlation between mes value and nursing grade on the 7th day and 14th day before the implementation of the observation group. Results: there were significant differences in the incidence of accident between the observation group and the control group (3.92% vs.18.00%), ICU rate (0.00% vs. 5.00%), doctor-patient satisfaction rate (99.02%, 9706% vs.93.00%, 90.00%) and nurses' awareness rate of "ten knowledge" (41.18% vs. 77.00%) (P 0.05). There was a positive correlation between mes value and nursing grade in the observation group, and the correlation coefficients rs on the 7th day and the 14th day were-0.683, 鈮，
本文编号：2523378
[Abstract]:Objective: to explore the programmed monitoring scheme for early identification of potential critical illness of patients in cardiology department, and to establish the work flow of early warning of illness and a scientific, effective and standardized medical and nursing communication template. Methods: from October 2014 to February 2016, 210 patients admitted to the Department of Cardiology in our hospital were randomly divided into two groups. The observation group was treated with the combined status, background, evaluation and suggestion (situation-background-assessment-recommendation,SBAR) communication mode of programmed monitoring scheme based on improved early warning score (modified early waring score,MEWS). The control group adopted the traditional monitoring and reporting scheme, observed for 14 days, compared the incidence of accidents, the rate of admission to ICU, the satisfaction rate of doctors and patients, and the awareness rate of nurses to the patient's condition, and analyzed the correlation between mes value and nursing grade on the 7th day and 14th day before the implementation of the observation group. Results: there were significant differences in the incidence of accident between the observation group and the control group (3.92% vs.18.00%), ICU rate (0.00% vs. 5.00%), doctor-patient satisfaction rate (99.02%, 9706% vs.93.00%, 90.00%) and nurses' awareness rate of "ten knowledge" (41.18% vs. 77.00%) (P 0.05). There was a positive correlation between mes value and nursing grade in the observation group, and the correlation coefficients rs on the 7th day and the 14th day were-0.683, 鈮，
本文编号：2523378
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