1.An empirical study on the effects of two-way referral system: A perspective of medical service consumers
Sangsang LI ; Songhe SHI ; Huanan CHEN ; Dechen LIU ; Niao WANG
Chinese Journal of Health Policy 2017;10(7):22-27
Objective: To explore the effects of the bi-directional referral system from the perspective of the medical service consumer.Methods: A balanced panel data which was adjusted by Propensity Score Matching was employed to evaluate the effects of two-way referral system using difference-in-difference (DID) for the 2013 and 2015 data.The evaluation indicators including actual cost sharing ration, out-of-pocket cost per unit, the possibility of high cost, annual inpatient visits and length of hospital stay per unit were used.Results: Compared with the control group, the two-way referral system resulted in an 11.3% (P<0.001) increase in actual cost sharing ratio and an increase of 0.710 (P<0.001) annual inpatient visits in the intervention group.However, the policy did not significantly reduce the possibility of high-cost medical expenses and reduce the length of hospitalization and the annual cost hospitalization.Conclusion: Based on the key findings of the analysis of this study, the two-way referral system has beneficial effects on reducing inpatient financial burden and optimizing resource allocation.
2.Analysis of risk factors of multidrug-resistant organism infection in lung transplant recipients based on restricted cubic spline model
Sangsang QIU ; Qinfen XU ; Jingyu CHEN ; Feng LIU ; Qinhong HUANG ; Xiaoshan LI ; Bo WU
Organ Transplantation 2023;14(4):578-
Objective To summarize current status of multidrug-resistant organism (MDRO) infection in lung transplant recipients and analyze the risk factors of MDRO infection. Methods Clinical data of 321 lung transplant recipients were retrospectively analyzed. According to the incidence of postoperative MDRO infection, they were divided into the MDRO group (
3.Evaluation and simplification of risk factors in FIGO 2000 scoring system for gestational trophoblastic neoplasia: a 19-year retrospective analysis.
Yang WENG ; Yuanyuan LIU ; Chitapa BENJOED ; Xiaodong WU ; Sangsang TANG ; Xiao LI ; Xing XIE ; Weiguo LU
Journal of Zhejiang University. Science. B 2022;23(3):218-229
OBJECTIVES:
The International Federation of Gynecology and Obstetrics (FIGO) 2000 scoring system classifies gestational trophoblastic neoplasia (GTN) patients into low- and high-risk groups, so that single- or multi-agent chemotherapy can be administered accordingly. However, a number of FIGO-defined low-risk patients still exhibit resistance to single-agent regimens, and the risk factors currently adopted in the FIGO scoring system possess inequable values for predicting single-agent chemoresistance. The purpose of this study is therefore to evaluate the efficacy of risk factors in predicting single-agent chemoresistance and explore the feasibility of simplifying the FIGO 2000 scoring system for GTN.
METHODS:
The clinical data of 578 GTN patients who received chemotherapy between January 2000 and December 2018 were retrospectively reviewed. Univariate and multivariate logistic regression analyses were carried out to identify risk factors associated with single-agent chemoresistance in low-risk GTN patients. Then, simplified models were built and compared with the original FIGO 2000 scoring system.
RESULTS:
Among the eight FIGO risk factors, the univariate and multivariate analyses identified that pretreatment serum human chorionic gonadotropin (hCG) level and interval from antecedent pregnancy were consistently independent predictors for both first-line and subsequent single-agent chemoresistance. The simplified model with two independent factors showed a better performance in predicting single-agent chemoresistance than the model with the other four non-independent factors. However, the addition of other co-factors did improve the efficiency. Overall, simplified models can achieve favorable performance, but the original FIGO 2000 prognostic system still features the highest discrimination.
CONCLUSIONS
Pretreatment serum hCG level and interval from antecedent pregnancy were independent predictors for both first-line and subsequent single-agent chemoresistance, and they had greater weight than other non-independent factors in predicting single-agent chemoresistance. The simplified model composed of certain selected factors is a promising alternative to the original FIGO 2000 prognostic system, and it shows comparable performance.
Female
;
Gestational Trophoblastic Disease/drug therapy*
;
Humans
;
Multivariate Analysis
;
Pregnancy
;
Retrospective Studies
;
Risk Factors