摘要
目的研究影响某院患者住院天数超长的因素,为缩短患者住院的天数,提高医院管理水平提供依据。方法通过提取某院2012年11月至2013年10月住院天数超过90天的患者的病历资料,共220例,应用多元线性回归模型方法,对住院天数超长的影响因素进行分析。结果性别、手术情况、转科情况、病例分型、入院病情和院感等变量,在回归方程拟合过程中被剔除,最终引入回归方程的是年龄、付款方式和病种3个自变量。模型的决定系数R。=0.071,方差分析F=5.487,P〈0.01,说明以上变量所拟合的方程有统计学意义,各自变量对住院天数的贡献依次为病种〉年龄〉付款方式。结论病种、年龄和付款方式是患者住院天数超长的影响因素,加强安全教育,减少损伤事故的发生,提高医疗质量的管理水平,缩短患者住院的天数,可减少患者的负担。
Objective To explore factors of the long hospitalized days, provide the basis for shortening the number of days of hospitalization and improve hospital management. Methods Medical records by extracting a hospital from November 2012 to October 2013 the number of days patients hospitalized for more than 90 days, a total of 220 cases, the application of mul- tivariate linear regression model, factors affecting long hospital stay were analyzed. Results Gender, surgical cases, turn Branch case, case type, condition and flu hospital admissions and other variables in the regression equation was removed from the fitting process, the final regression equation is introducing age, payment method and disease three independent variables. The co- efficient of determination model R2 =0. 071, F=5. 487 ,P〈0.01, the variables described above fitting equation was statistically significant, the contribution of each variable to the number of days of hospitalization were diseases〉age〉payment. Conclusion Disease, age and payment are factors in patients with long hospital stays, strengthen safety education, reduce the incidence of in- jury accidents, improve medical quality management level, shorten the number of days hospitalized patients, can reduce the burden on patients.
出处
《中国医院统计》
2014年第1期5-6,9,共3页
Chinese Journal of Hospital Statistics
关键词
住院天数
多元线性回归模型
影响因素
Hospitalization days Multiple linear regression models Factors