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Objective To analyze the impact of canceling drug price markup policy on hospitalization expenses of urban public hospitals in Sichuan province and provide decision-making basis. Methods Data of hospitalization expenses of the top 50 diseases among inpatients discharged in 2016 and 2017 were collected, totaling 2 732 022 inpatient cases. Based on hospitalization expenses, these disease were divided into seven categories ( A-G) using dynamic clustering analysis, which represent respectively dominant diseases of different expense makeups, to compare such indicators as hospitalization expenses and composition ratios of these diseases before (2016) and after the reform (2017). Results The study found drastic changes among the medical expenses of different categories of dominant diseases. For example, per-hospitalization cost of categories E ( featuring high drug and examination expenses ) and G ( featuring balanced expenses distribution) diseases decreased since the reform, while the other categories rose instead. The proportion of drugs of different disease categories decreased to various extents. For example, category A ( high drug ratio of 5.60% ) and category E (5.15% ) diseases of which were found with the sharpest drop. Proportion of service expenses, on the other hand, rose to different extents. For example, the proportion of service expenses of all disease categories increased to varying degrees, among which category E (3.46% ), category F (3.37% ) and category D (3.36% ) accounted for the largest share of increase.Conclusions The reform is moving the cost structure of dominant diseases in Sichuan towards a rational level, yet with significant differences among disease categories. The authorities should target various categories to adjust their reimbursement policies, minimize financial burden on patients, strengthen their supervision on drug use and medical behavior, prevent such misbehaviors as the inducing demands and transferring drug markups.
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Objective To evaluate the performance of medical services of 18 tertiary hospitals in Sichuan province in 2016 based on DRGs, to identify objective methods to evaluate service quality and performance of medical institutions.Methods Based on the homepage data of inpatient medical records from 18 tertiary hospitals in Sichuan in 2016, using diagnosis-related groups as a risk-adjustment tool, the study evaluated the medical service quality and performance from three dimensions:medical ability,service efficiency and medical Quality.Results In the evaluation of medical service capacity, hospital I had the highest number of discharged cases and total weight(83 405 cases and 126 522.22),and hospital G had the lowest discharge cases and total weight(2 350 cases,2 797.12).The highest number of DRGs group was from hospital B(661 groups),and the lowest from hospital G(43 groups).The highest value of CMI was from hospital F(2.091),and the lowest from hospital D(0.953).Hospitals B,I and P had wide disease type range,while hospitals F, B and I had higher overall technical level than the other hospitals.Of the service efficiency evaluation,hospital E had the lowest time consumption index(0.740),and hospital P had the lowest expenditure index(1.073).Of the service quality evaluation,hospitals F and G had the lowest risk of mortality and the lower risk of mortality(0.00%,0.00%).Hospital I had the highest total score (100.0 points), and hospital G had the lowest total score(51.1 points).Conclusions DRGs based evaluation on medical service quality and performance of medical institutions can ensure reliability and scientific adequacy of evaluation.It may contribute to the continuous improvement of medical quality, and provide data support and decision reference for medical service supervision.
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Objective To explore the application of heteroscedastic time series model to the analysis of data of infectious diseases.Methods ARIMA and AR-GARCH models were used to fit the incidence of gonorrhea.Results The time series in this study,which was heteroscedastic significantly,finally was well fitted by AR(1)-GARCH(0,1) model through model selecting.Conclusions AR-GARCH model is suitable for analyzing heteroscedastic time-series data of infectious diseases.
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Objective To study the predictability, stability and safety of laser in situ keratomileusis (LASIK) for myopia.Methods Five hundred and Sixty-five eyes ( 293 patients ) were treated with the SCMD corneal shaper and laser sight Compak - 200 excimer laser and followed up for more than 6 months. These eyes were divided into 4 groups according to the degrees of myopia: Group Ⅰ:-1.50～-5.75D,120 eyes; Group Ⅱ:-6.00～-9.75D,230 eyes; Group Ⅲ:-10.00～-14.75D,148 eyes and croup Ⅳ:-15.00～-26.00D,67 eyes.Results Six months post-operatively, mean uncorrected visual acuity of each group was 1.15±0.20, 0.92±0.22, 0.69±0.24 and 0.44±0.22 respectively; The uncorrected visual acuity of 0.5 or better was 100%, 94.6%, 85.8% and 47.7% respectively; And 1.0 or better was 91.7%, 56.7%, 18.0% , 0% respectively. Mean spherical equivalent of each group was -0.14D±0.61D, -0.43D±1.20D, -0.57D±1.47D and -1.79D±2.57D respectively. There were no serious complications. Conclusion LASIK is an effective and safe method for reducing myopia. But the potential complications should be noticed.