中华医院管理杂志
中華醫院管理雜誌
중화의원관리잡지
CHINESE JOURNAL OF HOSPITAL ADMINISTRATION
2013年
7期
517-520
,共4页
护理%决策树%质量%综合评价%分类
護理%決策樹%質量%綜閤評價%分類
호리%결책수%질량%종합평개%분류
Nursing%Decision tree%Quality%Comprehensive evaluation%Classification
目的 兼顾护理工作数量和质量,建立科学、合理的护理质量综合评价方法.方法 应用SPSS 18.0决策树中卡方自动交互检测法(chi-squared automatic interaction detector,CHAID)分析各病区护理单元平均入院患者数、Ⅰ级护理天数、危重患者数、抢救人次数、手术人次数、静脉输液人次数、肌肉注射人次数、氧气吸入人次数、导尿人次数、胃管置管人次数、灌肠人次数和平均床位周转率等工作数量指标,将各护理单元划分成不同的护理负荷集群,再在同一级护理负荷集群中按12项护理质量考核指标进行综合护理质量的评比.结果 经决策树法分析某月护理质量,对应变量差异无统计学意义的工作数量变量进行合并,最后树伸展为3层:根结为第1层,第2层以首优变量“病危患者数”(P＜0.05)分成节点1、2、3,第3层按变量“Ⅰ级护理天数”(P＜0.05)分成节点4、5、6、7.决策树法能确定各护理工作数量指标的上下层级关系和首优工作数量变量(P＜0.05),并依据首优变量的分布概率建立分层规则,实现按护理负荷将不同护理单元归类划分的作用.结论 决策树方法能为护理质量考核提供同级的护理工作量平台,减少了护理工作数量差异对护理质量评价的影响,提高了护理质量在同级护理负荷单元之间的可比性,是护理质量综合评价的科学方法.
目的 兼顧護理工作數量和質量,建立科學、閤理的護理質量綜閤評價方法.方法 應用SPSS 18.0決策樹中卡方自動交互檢測法(chi-squared automatic interaction detector,CHAID)分析各病區護理單元平均入院患者數、Ⅰ級護理天數、危重患者數、搶救人次數、手術人次數、靜脈輸液人次數、肌肉註射人次數、氧氣吸入人次數、導尿人次數、胃管置管人次數、灌腸人次數和平均床位週轉率等工作數量指標,將各護理單元劃分成不同的護理負荷集群,再在同一級護理負荷集群中按12項護理質量攷覈指標進行綜閤護理質量的評比.結果 經決策樹法分析某月護理質量,對應變量差異無統計學意義的工作數量變量進行閤併,最後樹伸展為3層:根結為第1層,第2層以首優變量“病危患者數”(P＜0.05)分成節點1、2、3,第3層按變量“Ⅰ級護理天數”(P＜0.05)分成節點4、5、6、7.決策樹法能確定各護理工作數量指標的上下層級關繫和首優工作數量變量(P＜0.05),併依據首優變量的分佈概率建立分層規則,實現按護理負荷將不同護理單元歸類劃分的作用.結論 決策樹方法能為護理質量攷覈提供同級的護理工作量平檯,減少瞭護理工作數量差異對護理質量評價的影響,提高瞭護理質量在同級護理負荷單元之間的可比性,是護理質量綜閤評價的科學方法.
목적 겸고호리공작수량화질량,건립과학、합리적호리질량종합평개방법.방법 응용SPSS 18.0결책수중잡방자동교호검측법(chi-squared automatic interaction detector,CHAID)분석각병구호리단원평균입원환자수、Ⅰ급호리천수、위중환자수、창구인차수、수술인차수、정맥수액인차수、기육주사인차수、양기흡입인차수、도뇨인차수、위관치관인차수、관장인차수화평균상위주전솔등공작수량지표,장각호리단원화분성불동적호리부하집군,재재동일급호리부하집군중안12항호리질량고핵지표진행종합호리질량적평비.결과 경결책수법분석모월호리질량,대응변량차이무통계학의의적공작수량변량진행합병,최후수신전위3층:근결위제1층,제2층이수우변량“병위환자수”(P＜0.05)분성절점1、2、3,제3층안변량“Ⅰ급호리천수”(P＜0.05)분성절점4、5、6、7.결책수법능학정각호리공작수량지표적상하층급관계화수우공작수량변량(P＜0.05),병의거수우변량적분포개솔건립분층규칙,실현안호리부하장불동호리단원귀류화분적작용.결론 결책수방법능위호리질량고핵제공동급적호리공작량평태,감소료호리공작수량차이대호리질량평개적영향,제고료호리질량재동급호리부하단원지간적가비성,시호리질량종합평개적과학방법.
Objective To establish a reasonable method to evaluate nursing quality with both the quantity and quality of nursing taken into account.Methods Quantity indexes of nursing were analyzed with decision tree method (CHAID)in SPSS18.0,which included the number of patients admitted to wards,first grade' s nursing days,critically ill patients,emergencies,operations,intravenous infusions,intramuscular injections,oxygen inhalations,urinary tract catheterizations,gastric tube catheterizations,enemas and the average turnover rate of beds.After the quantity analysis,the nursing units were divided into different groups according to their workload.Then,we made a comprehensive evaluation of nursing quality with 12 indicators on the same group.Results Decision tree analysis can identify hierarchy relationship of various nursing quantity indicators and high-priority work quantity variables.Furthermore,it can establish the hierarchical rule based on the distribution of high-priority variables,and serve the purpose of classifying nursing units based on nursing workload.Conclusion The decision tree method can provide a same-level nursing workload platform for quality examination.This has minimized the influence of nursing workload discrepancies on nursing quality examination,and made nursing quality more comparable with nursing workload units of the same level,thus a scientific method for comprehensive nursing quality evaluation.
