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.