Analysis on Influencing Factors of Patients Hospitalized for more than 30 days in a Three A and Tertiary Hospital in Beijing
Objective By analyzing the characteristics and influencing factors of patients hospitalized for more than 30 days in a Three A and Tertiary Hospital in Beijing,to provide data basis for reducing the average hospitalization days in research hospitals.Methods 891 patients who were discharged from the researched hospital from January 1st,2022 to June 30th,2023 and had been hospitalized for more than 30 days were selected.The univariate analysis was conducted using Chi-square test and Logistic regression analysis for a multivariate study,with hospitalized for more than 30 days as the dependent variable.Results The hospitalization days of patients who were hospitalized for over 30 days were mainly concentrated between 31 and 40 days.The top three discharged departments were neurosurgery(274 cases),general surgery(130 cases),and neurology(89 cases);169 patients(18.97%)were mainly diagnosed with neurological diseases after being hospitalized for over 30 days,with the highest proportion of epilepsy patients being 10.77%;Among different age groups,the highest proportion of discharged patients who were hospitalized for more than 30 days within the age group of 10 to 19 was 2.17%;Univariate analysis showed that age,gender,marital status,patient source,admission route,whether to ICU,and surgery were correlated with whether hospitalized more than 30 days(P＜0.05);Multivariate analysis showed that age range from 0 to 19 years old,≥80 years old,male patients,unmarried patients,patients from other cities,emergency admissions,ICU admissions,surgical patients were all risk factors for patients hospitalized for more than 30 days,with OR values greater than 1(P＜0.05).Conclusions Age,gender,marital status,patient source,admission route,ICU admission,and surgery were the influencing factors for the hospitalized more than 30 days.Medical management should focus on key age groups,departments,and disease types,and take measures to reduce the average hospitalization days.
Hospitalization for more than 30 daysInfluencing factorsRegression analysis
NETL
NSTL
万方数据
