XU Wen-xi, LV Jia-pin, SHEN Yi, WEI Wen-qian, YU Lian-mei, ZHU Ren-jie, LIU Zhong-min. Characteristics and disease distribution of inpatients in a Class A general hospital in Shanghai[J]. Shanghai Journal of Preventive Medicine, 2019, 31(S1): 76-79. DOI: 10.19428/j.cnki.sjpm.2019.19834
Citation: XU Wen-xi, LV Jia-pin, SHEN Yi, WEI Wen-qian, YU Lian-mei, ZHU Ren-jie, LIU Zhong-min. Characteristics and disease distribution of inpatients in a Class A general hospital in Shanghai[J]. Shanghai Journal of Preventive Medicine, 2019, 31(S1): 76-79. DOI: 10.19428/j.cnki.sjpm.2019.19834

Characteristics and disease distribution of inpatients in a Class A general hospital in Shanghai

  • ObjectiveTo make analysis on the disease distribution and characteristics of inpatients in a Class A hospital and ascertain the change of disease spectrum and healthcare needs, providing scientific basis for hospital strategy making.
    MethodsInpatients information in 2018 was obtained and classified through HIS system and discharge diagnosis data according to ICD-10, and SPSS 16.0 was used to analyze the distribution and characteristics of the inpatients.
    ResultIn 2018, there were 77 983 admissions. The number of monthly admissions had seasonal fluctuation, which declined significantly in February. The disease entity with the largest proportion of patients was tumor chemotherapy. In chronic diseases, cardiovascular and cerebrovascular diseases accounted for a relatively high proportion. The average hospital stay was 7.47 days, which met the national standards(average hospital stay < 15 days). The major discharge diagnosis of patients hospitalized for more than 30 days were cancer and cerebrovascular diseases.
    ConclusionThe proportion of hospitalization for chronic diseases such as tumors is large. It is necessary to actively cooperate with lower-level hospitals, standardize and establish a rational mechanism for referral of chronic disease patients, and to strengthen the scientific management of chronic diseases in the elderly to effectively shorten the average hospitalization days.
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