Analysis of Influencing Factors and Demand Forecast of Single Disease Demand in Chinese Public Hospitals.

Objectives: In this study, we examine influencing factors and demand forecast of single disease demand in Chinese public hospitals. Methods: We conducted a preliminary screening of the literature, according to a literature search strategy and inclusion and exclusion criteria. Related Chinese and English articles between 2000 and 2022 were searched in the Chinese National Knowledge Infrastructure, Wanfang, PubMed, and Elsevier databases and Google Scholar. The Jadad literature scoring mechanism was used, and Stata/SE version 12.0 software was used to perform a meta-analysis of the effect size of literature statistics. The outcome index was the 2-week visit rate. Results: We included 13 articles for meta-analysis. Their combined effect size and 95% confidence interval for chronic disease, age, gender, economic factors, medical insurance form and education level were 3.43 (2.26, 5.51), 2.53 (1.74, 3.68), 1.3 (1.16, 1.46), 2.31 (1.16, 4.61), 3.2 (2.98, 3.45) and 1.35 (1.14, 1.6), respectively. Results revealed that for patients with chronic diseases, those>60 years of age and families with better economic conditions and higher levels of education correlated with a higher demand for medical services among families with medical insurance for urban residents. Conclusion: Using meta-analysis, we analyzed the factors that affect the demand for medical services in China. From demographic and economic factors, national medical insurance policies and residents' health status, we analyzed the relationship between patients with a single disease and other factors. With respect to the influence of medical service demand, relevant departments should take effective measures to increase medical service demand according to the influencing factor of the 2-week visit rate and simultaneously provide scientific theoretical guidance for medical reform.

Effect of Drought on Agronomic Traits of Rice and Wheat: A Meta-Analysis.

Drought has been one of the most important limiting factors for crop production, which deleteriously affects food security worldwide. The main objective of the present study was to quantitatively assess the effect of drought on the agronomic traits (e.g., plant height, biomass, yield, and yield components) of rice and wheat in combination with several moderators (e.g., drought stress intensity, rooting environment, and growth stage) using a meta-analysis study. The database was created from 55 published studies on rice and 60 published studies on wheat. The results demonstrated that drought decreased the agronomic traits differently between rice and wheat among varying growth stages. Wheat and rice yields decreased by 27.5% and 25.4%, respectively. Wheat grown in pots showed greater decreases in agronomic traits than those grown in the field. Rice showed opposite growing patterns when compared to wheat in rooting environments. The effect of drought on rice increased with plant growth and drought had larger detrimental influences during the reproductive phase (e.g., blooming stage, filling stage, and maturity). However, an exception was found in wheat, which had similar decreased performance during the complete growth cycle. Based on these results, future droughts could produce lower yields of rice and wheat when compared to the current drought.