ABSTRACT
Objective To analyze the inputs and outputs of Health Human Resource for County -level Hos-pitals in Western China , discuss the reasons for low efficiency and quality , and provide references for improving the efficiency and quality of health human resources .Methods Using rank-sum ratio to evaluate the health human re-sources of 33 county -level hospitals of 11 provinces in western China , and to compare the evaluation results . Results In the comprehensive analysis of human input and output of health human resources between 11 provinces , according to the health human resources efficiency level of 11 provinces into third gear:a hard stop ( high-grade):Sichuan, Guangxi;second gear (mid-range): Gansu, Guizhou, Yunnan, Shaanxi, Ningxia, Inner Mongolia, Ti-bet, Xinjiang;third gear (low-grade):Qinghai.Conclusion In the nationwide perspective , the efficiency of the western provinces of health human resources is lower , and we need to take measures to improve the efficiency of health human resources .
ABSTRACT
Objective To determine indoor environmental risk factors for adults asthma.Methods A hospital-based case-control study included 122 adult patients with asthma and 205 community controls was carried out to investigate indoor environmental factors for adult asthma.The data were analyzed by univariate and multivariate unconditional Logistic regression.Results It was revealed in univariate analysis that one-story house,newly decorated house,short of breath hard in newly decorated house,drying the beddings in the sun regularly,no leakage of smoke in kitchen,using coke for heating and using firewood for cooking.Results of the multivariate conditional logistic regressive analysis showed that one-story house and newly decorated house had significant negative correlation with asthma(P
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Objective To explore risk factors for adult leukemia. Methods 192 patients with leukemia and 241 community controls were chosen to carry out a case-control study for finding the indoor environmental factors and the other risk factors for leukemia. The data was statistically analyzed by unconditional logistic regression. Results It was demonstrated as the risk factors for leukemia that the occupation (OR=7.06, P