Analysis Of Basic Characteristics Of Inpatients In Grade 3a Hospital In Xinjiang From 2014 To 2015

Objective:to constitute and master in a state of border disease three general hospital in 2014-2015 patients,and the related work for the hospital how to optimize the allocation of resources to provide baseline data for the hospital information content,subject construction of reference data necessary to provide basic data for the critical illness management.Methods:randomly selected in our hospital 2014-2015 all discharged patients as the research object,the diagnosis and treatment of the disease is called standard according to the international general ICD10 encoding,based on gender,ethnic(Han,Mongolian and Uygur)and the age range(including preschool and school-age young middle-aged and elderly)other indicators,using literature method,investigation method and form making method,quality control,research perspective of statistical data.Methods:randomly selected in our hospital 2014-2015 all discharged patients as the research object,the diagnosis and treatment of the disease is called standard according to the international general ICD10 encoding,based on gender,ethnic(Han,Mongolian and Uygur)and the age range(including preschool and school-age young middle-aged and elderly)other indicators,using literature method,investigation method and form making method,quality control,research perspective of statistical data.Results:the composition of a state border three general hospital from 2014 to 2015,the top 5 patients with diseases,respiratory system diseases,circulatory system diseases and diseases of female pelvic inflammatory disease,at the same time,people of all ages and gender,disease sequence differences exist in qualifying.Is mainly reflected in the following points:(1)age ranked as follows:15~44 years old group(32.49%)>60 years old group(30.59%)than the age group of>45~59(28.31%)>5~14 age group(2.54%);(2)5 2014-2015 disease in different age intervals along the first five there is a diversity;(3)the 2014 men suffer from many diseases in sequence in diabetes(4.7%),traumatic fracture(4.4%),angina(3.8%),hypertension(3.6%)and cerebral infarction(3.4%),female pelvic inflammatory disease(3.4%),angina(3.3%)hypertension,diabetes mellitus(3.2%),(3.1%)and benign tumors(3.1%);2015(5.2%),diabetes angina(4.2%),traumatic fracture(3.7%),cerebral infarction(3.6%)and hypertension(3.5%),women were female pelvic inflammatory disease(3.6%),Benign tumor(3.5%),angina(3.2%),lumbar disc herniation(2.7%)and hypertension(2.7%);(4)2014 Han patients discharged a diabetes(4.1%),angina(3.7%),hypertension(3.4%);Uygur:angina pectoris(4.8%),high blood pressure(3.4%),cerebral infarction(3.4%);Mongolian female pelvic inflammatory disease(3.8%),angina(3.7%),(3.4%)gastritis.2015,Han:angina(3.8%),diabetes(3.5%),hypertension(3.2%);Uygur:angina pectoris(5%),female pelvic inflammatory disease(3.3%),cerebral infarction(3.1%);Mongolian:angina pectoris(3.8%),gastritis(3.4%),hypertension(3%);(5)gender comparison of diabetic patients there was significant difference significant(x~2=9.95,P=0.0291<0.05);the sex ratio in patients with angina pectoris does not exist significant difference significant(x~2=1.483,P=0.7241>0.05);the sex ratio in patients with hypertension and there is no statistical difference significant(x~2=1.1264,P=0.8098>0.05);(6)at the age of 60 as a dividing line,compared with diabetes of different age groups does not exist significant difference obvious(x~2=6.23=0.3511>0.05 P);different age interval between angina pectoris patients do not exist significant difference significant(x~2=2.19,P=0.9315>0.05);hypertension in different age group than there was statistical difference obvious(x~2=80.23,P<0.0001);(7)the highest number of days of hospitalization in diabetic patients was 8,the lowest 3,there was significant difference significant(H=46.21,P<0.0001);the number of days of hospitalization for angina patients with the highest number of days is 14 days,a minimum of 10 days,there was obvious difference(H=65.01,P<0.0001);the highest number of days of hospitalization in patients with hypertension is 9,a minimum of 6 days there is a significant difference,obviously(H=19.22,P=0.0012<0.05);(8)diabetic patients are general treatment,2 years are not emergency patients,there is no statistically significant difference(x~2=5.01,P=0.2988).The patients with angina pectoris were mainly treated with general diagnosis and treatment,and there were obvious statistical differences in emergency patients in 2years(chi 2=40.98,P<0.0001).Hypertension is also dominated by general treatment,in 2years the emergency patients,there were statistically significant difference(x~2=26.11,P<0.0001):(9)diabetic patients there was significant difference between the outcome significantly(x~2=60.11,P<0.0001);patients with Angina Prognosis contrast no statistically significant difference significant(x~2=6.98,P=0.1169>0.05);no significant difference between patients with hypertension significantly(x~2=10.12,P=0.0622>0.05):(10)diabetic patients there was significant difference between the outcome significantly(x~2=60.11,P<0.0001);angina pectoris patients with contrast was not statistically significant differences between the(x~2=6.98,P=0.1169>0.05);no significant difference between patients with hypertension significantly(x~2=10.12,P=0.0622>0.05);(11)patients with diabetes mellitus There was significant difference on the type of spending significant(x~2=25.17,P<0.0001);type of spending ratio in patients with angina pectoris had statistical difference significant(x~2=18.11,P=0.0011<0.05)in patients with hypertension;there was significant difference between types of spending compared to the obvious(x~2=30.56,P<0.0001);(12)diabetes whether patients with secondary treatment than there was significant difference obvious(x~2=400.13,P<0.0001);whether the diagnosis and treatment of patients with angina pectoris than there is no secondary statistics the difference(x~2=4.12,P=0.5122>0.05);whether the diagnosis and treatment of secondary hypertension patients there was significant difference of the ratio(x~2=90.22,P<0.0001);(13)differences in different kinds of expenses are.Conclusion:our hospital should take into account the current disease analysis,while optimizing the allocation of resources in the hospital to reflect,strengthen the construction of key disciplines,scientific allocation of medical and health resources.