ObjectiveTo evaluate the level of worry and its influencing factors during the COVID-19 epidemic among teachers in Henan Province in China.Study designA cross-sectional study was conducted.MethodsWe designed a cross-sectional survey that included 88 611 teachers from three cities in Henan Province, China between 4 February 2020 and 12 February 2020. Level of worry was measured using a five-item Likert scale, with 1 being ‘not worried’ and 5 being ‘very worried’. The OR and 95% CI of potential influencing factors for level of worry among study participants were estimated using ordinal logistic regression models.ResultsAbout 59% of teachers reported being ‘very worried’ about the COVID-19 epidemic. The proportion of female teachers was higher than of male teachers (60.33% vs 52.89%). In all age groups considered in this study, a ‘very worried’ condition accounted for the highest proportion. The age group 40–49 years had the lowest proportion of participants who were very worried, 52.34% of whom were men and 58.62% were women. After controlling for potential confounding factors, age, education level, type of teacher, school location, attention level, fear level, anxiety level and behaviour status were all related to level of worry (all p<0.05).ConclusionDuring the COVID-19 epidemic, there was a high proportion of teachers who were ‘very worried’ about the situation in Henan Province, China. Our study may remind policymakers to consider factors including age, educational status, type of teacher, school location, source of information on COVID-19, attention level, anxiety level, fear level and behaviour status to alleviate worry.

Background Traditional medicine has been widely used to address relatively common illnesses. In this regard, Chinese government has been continually topping up its investments on public Traditional Chinese Medicine hospitals (PTHs) in recent years. This study aimed to assess the optimal scales and structure of the investments in Henan province by analyzing the contribution of Government Financial Investment (GFI) to the efficiency and revenue growth of PTHs as well as recommending proper investment strategies for implementation to policy-makers. Methods This study was a panel data study, conducted in Henan Province, China. By collecting 143 PTHs’ operational data from the year 2005 to 2017, Barro Economic Growth (BEG) model, Stochastic Frontier Analysis (SFA) and Vector Autoregressive (VAR) model were used to assess the efficiency and PTHs revenue. Results The study observed the positive contribution of GFI to PTHs’ revenue growth (average MPG = 2.84), indicating that the GFI had not reached the required optimal level of “Barro Law”. In order to maximize the input-output efficiency, the scales of GFI on Grade III, Grade II A, Grade II B PTHs need to be increased by − 5.96, 4.88 and 11.51%, respectively. The third year following the first investment may be a more essential period for conducting an effective GFI evaluation in Henan Province. Conclusions GFI on PTHs usually has a long-term impact on PTHs. Governments can adjust its GFI policy so as to maximize the input-output efficiency.

Background Traditional medicine has long been used to address relatively common illness, and Chinese government has been continually increasing its investments on Public Traditional Chinese Medicine hospitals (PTHs) in recent years. Objectives This study aimed to assess the scales and structure of investments on PTHs in Henan Province, China, in order to analyze the contribution of Government Financial Investment (GFI) to the revenue growth of PTHs, as well as raising practical investment strategies for decision-makers. Methods This study was a panel data research, conducted in Henan Province, China. By collecting 143 PTHs’ operational data from 2005 to 2017, the authors computed data with Barrow Economic Growth Model (BEG), Stochastic Frontier Analysis (SFA) and Vector Autoregressive Model (VAR), respectively.Results The study observed that the contribution of GFI to PTHs’ revenue growth was positive (average MPG=2.84), which means the scale of GFI hadn’t reached an optimal level. The scales of GFI on Grade III, Grade II A, Grade II B PTHs need to be increased by -5.96%, 4.88% and 11.51% respectively in order to maximize the input-output efficiency. The third year after the investment year may be a more effective period for conducting an effect evaluation of GFI in Henan Province.Conclusions GFI on PTHs usually has a long-term impact on PTHs. Government needs to adjust its GFI policy to maximize the input-output efficiency.

Background: Chinese government has been continually increasing its investments on Public Traditional Chinese Medicine hospitals (PTHs) in recent years. This study aimed to assess the scales and structure of investments on PTHs in Henan Province, China, in order to analyze the contribution of Government Financial Investment (GFI) to the revenue growth of PTHs, as well as raising practical investment strategies for decision-makers. Methods: This study was a panel data research, conducted in Henan Province, China. By collecting 143 PTHs’ operational data from 2005 to 2017, the authors computed data with Barrow Economic Growth Model (BEG), Stochastic Frontier Analysis (SFA) and Vector Autoregressive Model (VAR) respectively. Results: The study observed that the contribution of GFI to PTHs’ revenue growth was positive (average MPG=2.84), which means the scale of GFI hadn’t reached an optimal level. The scales of GFI on Grade III, Grade II A, Grade II B PTHs need to be increased by -5.96%, 4.88% and 11.51% respectively in order to maximize the input-output efficiency. The third year after the investment year may be a more effective period for conducting an effect evaluation of GFI in Henan Province. Conclusions: GFI on PTHs usually has a long-term impact on PTHs. Government needs to adjust its GFI policy to maximize the input-output efficiency.