Research on Equity and Prediction of Health Resources Allocation in Guizhou Province
Objective To investigate the fairness of health resources allocation in Guizhou Province and forecast trend of health resources in Guizhou Province,then provide reference for optimizing the allocation of health re-sources.Methods Four indicators of medical service facilities and health human resources were selected.The entropy weight TOPSIS method combined with RSR method was used to study the equity of health resources allocation in Guizhou province.The grey GM(1,1)model predicted the development trend of health resources in Guizhou Province from 2021 to 2025.Results The weight of professional(assistant)physicians per 1000 population was the highest in Guizhou province.9 cities(prefectures)in Guizhou Province were divided into three grades according to Probit value.The first grade includes Guiyang and Qiandongnan;The second gear includes Tongren,Zunyi,Bijie,Qianxinan and Anshun;The third grade includes Liupanshui and Qiannan.The grey GM(1,1)model had a good fitting effect,and the prediction results showed that all kinds of health resources in Guizhou Province were on an increasing trend.Conclusion The allocation of health resources is unbalanced in Guizhou Province.The number of professional(assistant)physicians needs to be strengthened.The quantity of health resources in Guizhou Province meets the ex-pected requirement.
Health resourceEntropy TOPSIS methodRSR methodGM(1,1)modelEquity
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