ABSTRACT
Objective:To analyze the implementation effect of single disease payment policy for day surgery (hereinafter referred to as the policy), for references for the reform of medical insurance payment.Methods:By collecting the information of inpatients from 2017 to 2019 in a tertiary hospital, the research group took patients with colorectal benign tumor and nodular goitre as the policy implementation group and the control group respectively. 2017-2018 was the pre implementation stage of the policy, and 2019 was the post implementation stage of the policy. The difference-in-differences (DID) model was used to analyze the changes in indicators such as length of stay and hospitalization expenses after policy implementation, under whether the policy is implemented or not, as well as before or after policy implementation.Results:A total of 2 419 patients were included, including 927 patients with nodular goiter in the control group and 1 492 patients with colorectal benign tumors in the policy implementation group (688 patients before the policy implementation and 804 patients after the policy implementation). The results of DID showed that the hospital days for patients with colorectal benign tumor decreased by 56.53%, the hospitalization expenses decreased by 26.51%, the out-of-pocket expenses decreased by 26.66%, the treatment expenses increased by 11.96%, the drug expenses decreased by 50.29% and the consumables expenses decreased by 20.23% after the implementation of the policy.Conclusions:The implementation of the policy could reduce length of stay, hospitalization expenses and out-of-pocket expenses, optimize the structure of hospitalization expenses, improve the efficiency of hospital diagnosis and treatment, and help the hospital realize its transformation from a size expansion to a quality and benefit expansion.
ABSTRACT
Objective:To investigate the influencing factors of hyperuricemia(HUA) and explore early intervention of metabolic diseases.Methods:A total of 70 523 participants were selected from the database of check-ups in 2016. Univariate analysis and logistic regression analysis were used to identify related factors of HUA. Correspondence analysis was performed for the aggregation of different levels of uric acid(UA) and related factors. The mediating effect of mean blood pressure(MBP) between abnormal metabolic indicators and abnormal renal function was tested.Results:The age, sex, occupation, body mass index(BMI), systolic blood pressure, diastolic blood pressure, blood urea nitrogen(BUN), creatinine(Cr), estimated glomerular filtration rate(eGFR), fasting plasma glucose(FPG), total cholesterol(TC), triacylglycerol(TG), high density lipoprotein-cholesterol(HDL-C), low density lipoprotein-cholesterol, plasma viscosity were significantly related to HUA( P<0.001). Logistic regression analysis showed that youth, male, hypertension, TC, TG, and Cr were risk factors for HUA, while HDL-C was a protective factor for HUA( P<0.001). Correspondence analysis showed that during the gradual increase of UA, TC was the first to appear abnormal, followed by hypertension and TG, and the increase of Cr appeared last. Mediating effect showed that in changes of UA, the mediating effects of MBP on TC, TG, and HDL-C were 36.35%, 12.63%, and 9.41%, respectively. In changes of eGFR, the mediating effects of MBP on TC, TG and HDL-C were 30.20%, 27.70%, and 6.13%, respectively. Conclusions:UA is positively correlated with blood pressure, TC, and TG, and inversely with HDL-C. TC and TG have an impact on renal impairment, in which MBP plays a mediating role.
