In order to compare the difference of per capita medical resources among various provinces in China, the rank sum ratio comprehensive evaluation method was used to rank and classify provinces.
Rank sum ratio(RSR) comprehensive evaluation method is the most common method used to analyze economic, resource and other data in different groups. Its principle is to obtain dimensionless statistics RSR through rank conversion in several groups of index data; Then the distribution of RSR is studied by using the concept and method of parameter statistical analysis; The RSR9 value is used to rank the advantages and disadvantages of the evaluation objects, so as to make a comprehensive evaluation of the evaluation objects. In order to accurately classify and rank the per capita medical resources in 31 provinces and cities in China except Hong Kong, Macao and Taiwan, the article uses RSR rank sum ratio comprehensive evaluation method to analyze the secondary indicators in the evaluation index system of per capita medical resources in Table 7.
In the analysis of per capita medical resources in China’s provinces in 2020 by using RSR, the following steps were followed: 1. Ranking. The four evaluation indicators of China’s 31 provinces and cities in 2020 are arranged into 31 rows and four columns of the original data table. As the selected indicators are all high quality indicators, the compilation rank is directly from low to high. The resulting rank matrix. 2. Calculate the rank sum ratio of 31 provinces and cities in China. 3. Calculate the cumulative frequency Pi. Refer to the Comparison Table of Percentages and Probability Units to obtain the probability unit probit corresponding to each Pi value. 4. Calculate the linear regression equation. RSR=a+b* probit。5. Sort by file. Taking the probability unit probit as the grading boundary value, this study is divided into five grades according to the best grading principle.
Table 8. Ranking Results of Medical Resources Per Capita in China’s Provinces.