ABSTRACT
OBJECTIVE： To provi de reference for relevant departments to formulate innovation subsidy policies for pharmaceutical enterprises and enterprises to make their own business strategy decisions. METHODS ：The listed enterprises in China ’s pharmaceutical industry listed before 2012 were selected as the sample enterprises. The annual reports of listed enterprises in pharmaceutical industry and related panel data in CSMAR database during 2012-2019 were colected. Referring to related literatures ， multivariate regression model and threshold model were established to investigate the effects of technology innovation investment ability of sample enterprises ，so as to put forward relevant suggestions. RESULTS & CONCLUSIONS ：A total of 57 sample enterprises were included. The panel data of sample enterprises showed that the technology innovation investment of Chinese pharmaceutical enterprises was basically increasing year by year ，but compared with international standards ，the technology innovation investment of Chinese pharmaceutical enterprises still needed to be improved. The results of multiple regression model showed that the technology innovation investment of pharmaceutical enterprises had no significant impact on their current financial performance and the financial performance of the first and second lags （P＞0.05）. The results of threshold model showed that there was a significant single threshold effect between technology innovation investment and financial performance when enterprise size was taken as the threshold variable （P＜0.05）. When the enterprise size was less than the threshold value of 20.986，the enterprise ’s technology innovation investment had a negative impact on its financial performance （P＜0.05）；when the enterprise size was greater than the threshold value of 20.986，the correlation between the enterprise ’s technology innovation investment and financial performance was not significant （P＜0.05）. It is suggested that China ’s pharmaceutical enterprises should carry out technology innovation activities according to their own strength ，and enterprise managers should formulate different innovation development strategies according to the ac tual situation ，enable enterprises to maintain a reasonable capital structure by broadening financing channels ，identify innovation points according to their own ability ，reduce costs and risks ，and innovate R&D modes，so as to promote the transformation and effective utilization of R&D achievements. Government departments should give full play to the guiding role ，encourage pharmaceutical enterprises to maintain the vitality of R&D and innovation and guide the sustainable innovation and healthy development of the pharmaceutical industry.
ABSTRACT
Background@#The association between peripheral leukocyte count and bleeding events in nonvalvular atrial fibrillation (NVAF) patients treated with dabigatran remains unclear. This study aimed to explore the association between leukocyte count and bleeding events after excluding other confounders in NVAF patients taking dabigatran.@*Methods@#A total of 851 NVAF patients treated with dabigatran (110 mg bid) were recruited from 12 centers in China from February 2015 to December 2017. Follow-up was completed by May 2018. The exposure and outcome variables were leukocyte count measured at baseline and the number of bleeding events within the subsequent 6 months. Multivariate Cox proportional hazards models were constructed to analyze independent associations, and a Cox proportional hazards regression with cubic spline functions and smooth curve fitting (penalized spline method) was used to address nonlinearity between leukocyte count and bleeding. The inflection point was calculated using a recursive algorithm, and then a two-piecewise Cox proportional hazards model for both sides of the inflection point was constructed.@*Results@#During 6-month follow-up, 87 participants occurred bleeding events. For every 1 × 109/L increase in leukocyte count, the risk of bleeding increased by 11% (hazard ratio [HR]: 1.11, 95% confidence interval [CI]: 0.99–1.25). The smooth curve showed nonlinear relationship between leukocyte count and bleeding events. The inflection point of the leukocyte count was 6.75 × 109/L. For leukocyte counts < 6.75 × 109/L, the HR (95% CI) was 0.88 (0.69–1.13), and for leukocyte counts ≥ 6.75 × 109/L, the HR (95% CI) was 1.28 (1.09–1.51).@*Conclusion@#This study found a J-shaped association between baseline leukocyte count and risk of bleeding in NVAF patients treated with dabigatran.@*Clinical trial registration@#NCT02414035, https://clinicaltrials.gov.
ABSTRACT
Objective To study the threshold effect of government health expenditure on residents' health.Methods Using threshold panel data model to perform the empirical research.Results There is threshold effect of government health expenditure on residents' health.There are two threshold values.As the increase of the proportion of the government health expenditure to the total fiscal expenditure,it has two changes of the impact on the health of residents.Conclusion The government should increase the health expenditure,and increase the proportion of the government health expenditure to the total fiscal expenditure,but the government should not blindly pursue the high input of health expenditure,focus on the efficiency of health expenditure,and avoid of resource waste.
ABSTRACT
Objective:To study the influence of transfer payment on the equalization of medical and health services.Methods:Based on panel data of China's 23 provinces from 2000 to 2014.the medical and health services equalization indexes were measured and developed as the explained index.The explanatory variables such as transfer payment,per capita GDP and health care input were involved.The threshold value of time and transfer payment were applied to developed to conduct the panel threshold regression.Results:Transfer payment significantly promoted the equal distrihntion of health service resources,but the elastic declined if transfered more than 33 billion yuan as the threshold.Meanwhile,there was a threshold effect that the elastic of transfer payment to the equalization of China's medical and health service declined after NCMC in 2003.Conclusion:To further increase transfer payment,it needed to enlarge the new farmers and scope,optimize the equal distribution of health service resources.
ABSTRACT
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.
ABSTRACT
The purpose of this review is to discuss the debate concerning the interpretation of epidemiologic studies on particles and health effects. Study of the 1952 air pollution disaster in London established that very high levels of particulate-based smog can cause dramatic increases in daily mortality. However, recent epidemiologic studies have reported statistically significant health effects and mortality due to low levels of air pollution. The statistical significance does not prove causation in observational studies; therefore it is necessary to evaluate these associations. There are arguments for and against each of the numerous studies using Hill's criteria, however the body of accepted evidence supports the causal association. In particular, a high level of consistency in the estimated effect of PM10 has been observed across studies worldwide. The mechanism of the relationship between air pollution and health effects is not obvious. The mechanism of particle-induced injury may involve the production of an inflammatory response by the particulate. The harvesting and the threshold effect are also major concerns regarding the health effects of air pollution. However, current epidemiologic findings indicate that linear models lacking a threshold are appropriate for assessing the effect of particulate air pollution on daily mortality even at current levels.