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患者的出入院受各种因素的影响,如患者的病情、家属的照顾、经济因素、气候以及法定传统的节假日等,因此每月出入院情况具有—定的不均衡性。因而对具高峰(或低谷)时间的预测,既可合理地分配和利用医院的人力、物力等资源,又可间接发现患者发病(或复发)和缓解的季节性规律。作者用圆形分布的有关原理对我院1994年至1998年5年间共计805人次入院及675人次出院的精神分裂症患者的出入院时间进行统计分析,提供如下: 1 资料与方法 1.1 资料来源:1994年至1998年5年间我院病房统计,每月提供的《住院患者统计表》。据统计,我院住院患者中精神分裂症患者占95％。 1.2 计算方法:圆形分布法原理,将1年365天转化为360度,一天近似1度,以每月中旬为组中值计算精神分裂症患者出入院的集中程度、角均数,并换算成时间,以及做均匀性检验。
The admission and admission of patients are affected by various factors, such as the patient’s condition, family members’ care, economic factors, climate, and legal traditions and holidays. Therefore, the monthly conditions of admission to and from the hospital have a certain degree of imbalance. Therefore, the prediction of the peak (or valley) time can not only rationally allocate and use resources such as manpower and material resources of the hospital, but also indirectly discover the seasonal regularity of the onset (or recurrence) and remission of the patient. The author used the relevant principle of circular distribution to conduct statistical analysis on the time of admission and admission for schizophrenia patients who were admitted to hospital and 675 discharged from hospital during the five years from 1994 to 1998. The data are provided as follows: 1 Materials and methods 1.1 Source: Statistics of wards in our hospital during the five years from 1994 to 1998, and the monthly “Inpatient Statistics” provided. According to statistics, patients with schizophrenia in our hospital accounted for 95%. 1.2 Calculation method: The principle of circular distribution method converts 365 days from one year to 360 degrees, which is approximately 1 degree a day. The concentration and angle mean of patients admitted to and discharged from schizophrenia are calculated by using the median value of each month as the median value. Into the time, and do uniformity test.