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目的分析新疆维吾尔族、汉族、回族住院患者院内转科行为的分布特征及潜在影响因素,校正人为分解患者住院次数、非正常转科降低平均住院日的情况。方法提取2013年-2016年新疆某三级甲等医院全院具有转科行为的出院患者病案首页资料,通过定性、定量相结合的方法,分析不同民族住院患者转科行为特点及影响因素。结果转科患者占出院人数的7.40%,不同民族的转科患者在医疗付款方式、年龄、住院次数、职业、离院方式方面差异有统计学意义;科室分布前5位是心内科、消化科、内分泌科、神经内科和呼吸科,累计占比为69.99%。结论不同民族的转科出院患者对平均住院日及住院总费用均具有很大的影响,应充分考虑各民族转科行为的患者医疗付款方式、年龄、住院次数、职业等,以及非计划重复住院和非正常转科行为等因素的影响,对进行转科的住院患者采取有效的管理机制,可以提高床位使用率、合理运用医疗资源,更客观的反应科室绩效水平。
Objective To analyze the distribution characteristics and potential influencing factors of intercourse transfer in hospitalized patients of Uighur, Han and Hui in Xinjiang, to correct the number of hospitalized patients with artificial disintegration and to reduce the average length of stay in non-normal subjects. Methods The data of hospitalized cases of discharged patients in a hospital from 2013 to 2016 in a hospital of Grade A in three hospitals in China were extracted. The characteristics and influencing factors of inter-departmental transfer of patients from different ethnic groups were analyzed by qualitative and quantitative methods. Results The majority of patients in the department of gynecology accounted for 7.40% of the total number of discharged patients. There were significant differences in terms of medical payment method, age, number of hospitalizations, occupation and leaving hospital among different ethnic groups. The top five departments were department of cardiology and gastroenterology , Endocrinology, Neurology and Respiratory Medicine, accounting for a total of 69.99%. Conclusions The patients discharged from different ethnic groups have a great influence on the average length of stay and the total cost of hospitalization. The medical payment methods, age, number of hospitalizations, occupations, etc., of all patients participating in the transfer should be fully taken into account. And non-normal transfer of behavior and other factors, the transfer of hospitalized patients to take an effective management mechanism can improve the utilization rate of beds, rational use of medical resources, a more objective response department performance level.