Interrupted time series analysis for impacts of day surgery on average days of stay / 中华医院管理杂志

Objective To evaluate the effects of day surgery on average days of stay, and to provide scientific basis for shorter average days of stay. Methods Data of average days of stay from November 2011 to December 2016 were extracted from 6 departments, Xiangya Hospital, Central South University. Segmented regression analysis of interrupted time series was used to analyze the trend of average days of stay of pre-and post-day surgery. Results Thanks to the application of day surgery, average days of stay decreased by 0. 071 days per month, and the monthly decline increased by 0. 049 days (P<0. 001) than before. Average days of stay in the department of stomatology, ear-nose-throat, general surgery and hepatobiliary & enteric surgery research center were the most obvious, and the monthly decline increased by 0. 110 days (P<0. 001), 0. 049 days (P=0. 008) , 0. 075 days (P<0. 001), and 0. 057 days (P=0. 003), respectively than before. Conclusions Day surgery could decrease average days of stay, enhancing the utilization of hospital resources.

Effects of Iranian Economic Reforms on Equity in Social and Healthcare Financing: A Segmented Regression Analysis / 예방의학회지

OBJECTIVES: One of the main objectives of the Targeted Subsidies Law (TSL) in Iran was to improve equity in healthcare financing. This study aimed at measuring the effects of the TSL, which was implemented in Iran in 2010, on equity in healthcare financing. METHODS: Segmented regression analysis was applied to assess the effects of TSL implementation on the Gini and Kakwani indices of outcome variables in Iranian households. Data for the years 1977-2014 were retrieved from formal databases. Changes in the levels and trends of the outcome variables before and after TSL implementation were assessed using Stata version 13. RESULTS: In the 33 years before the implementation of the TSL, the Gini index decreased from 0.401 to 0.381. The Gini index and its intercept significantly decreased to 0.362 (p < 0.001) 5 years after the implementation of the TSL. There was no statistically significant change in the gross domestic product or inflation rate after TSL implementation. The Kakwani index significantly increased from -0.020 to 0.007 (p < 0.001) before the implementation of the TSL, while we observed no statistically significant change (p=0.81) in the Kakwani index after TSL implementation. CONCLUSIONS: The TSL reform, which was introduced as part of an economic development plan in Iran in 2010, led to a significant reduction in households’ income inequality. However, the TSL did not significantly affect equity in healthcare financing. Hence, while measuring the long-term impact of TSL is paramount, healthcare decision-makers need to consider the efficacy of the TSL in order to develop plans for achieving the desired equity in healthcare financing.

Impact of Universal Basic Medical Insurance System on China's Pharmaceutical Industry / 中国卫生经济

Objective:To evaluate the impact of the establishing universal basic medical insurance system(UMIS) on pharmaceutical industry in China.Methods:Based on the accumulated main business income data of China's pharmaceutical industry from 2002 to 2014,the influence change of UMIS on China's pharmaceutical industry before and after 2008 was analyzed by the segmented regression model.Results:Segmented regression model showed that the slope rate of development trend of main business income of China's pharmaceutical industry was 1.03×107 thousand yuan per quarter(P=0.000) before the implementation of UMIS in 2008.After the implementation of UMIS in 2008,the slope rate of development trend of main business income of China's pharmaceutical industry was 2.75× 107 thousand yuan per quarter (P=0.000) and trend increased 1.72× 107 thousand yuan per quarter(P=0.000).Conclusion:The UMIS had impact on the structure,sales volume of pharmaceutical products and sale costs of China's pharmaceutical industry.UMIS had a significant effect on the increase of China's pharmaceutical industry.

The analysis of threshold effect using Empower Stats software / 中华流行病学杂志

In many studies about biomedical research factors influence on the outcome variable,it has no influence or has a positive effect within a certain range.Exceeding a certain threshold value,the size of the effect and/or orientation will change,which called threshold effect.Whether there are threshold effects in the analysis of factors (x) on the outcome variable (y),it can be observed through a smooth curve fitting to see whether there is a piecewise linear relationship.And then using segmented regression model,LRT test and Bootstrap resampling method to analyze the threshold effect.Empower Stats software developed by American X & Y Solutions Inc has a threshold effect analysis module.You can input the threshold value at a given threshold segmentation simulated data.You may not input the threshold,but determined the optimal threshold analog data by the software automatically,and calculated the threshold confidence intervals.

Modelos de regressão com platô na estimativa do tamanho de parcelas em experimento de conservação in vitro de maracujazeiro / Using of regression plateau models in estimation of plot sizes for experiments with passion fruit

A determinação do tamanho de parcela é uma prática pertinente ao planejamento experimental e sua caracterização otimizada, em conjunto com o controle do material experimental, permite a obtenção de resultados com maior precisão e qualidade. Neste trabalho, determinou-se o tamanho de parcelas para experimentos de conservação in vitro de maracujazeiro, em dez ensaios de uniformidade com a espécie Passiflora Giberti N. E. Brown, utilizando-se o modelo de regressão linear segmentado com platô e o modelo de regressão quadrática segmentado com platô, que utilizam a técnica de resposta com platô a modelos que possuam mínimo. Os ensaios de uniformidade foram oriundos de experimento conduzido no delineamento inteiramente casualizado, com 20 unidades básicas (ub), e os tratamentos dispostos em esquema fatorial com três concentrações de sacarose, três concentrações de sorbitol e uma testemunha. A coleta dos dados foi realizada aos 60 dias após a incubação, medindo-se o comprimento das brotações. Os tamanhos de parcelas variaram com o método utilizado, encontrando-se parcelas formadas por seis explantes pelo modelo da regressão linear segmentado com platô e de dez explantes pelo modelo de regressão quadrática segmentado com platô.

The determination of the plot size is a practical question to the experimental design, and its characterization in an optimized way allows obtaining larger precision and quality results. This research aimed to determine the plot size in experiments in vitro that seek the passion fruit plant conservation in ten uniformity assays with the species Passiflora Giberti N. E. Brown. The tests of uniformity came from an experiment conducted in a completely randomized design with treatments in a factorial design with three concentrations of sucrose, three concentrations of sorbitol and a control. Each treatment was considered as a uniformity assay, with 20 basic units. The evaluations of the experiments were done in the 60 days of incubation, being measured the shoots' length. For the estimate of the optimal plot size it was used the models segmented with linear- plateau, and the quadratic-plateau. The plot size varied with the method used, with values from 6 basic units for the linear-plateau model segmented, and from 10 basic units, for quadratic-plateau model.