Effects of double random supervision model: a case study of public places in Yangpu District, Shanghai

ObjectiveTo determine the effects of the"double random"supervision model of public places in Yangpu District, Shanghai.

MethodsUsing the"double random"data of public places in Yangpu District of Shanghai from 2018 to 2019, we determined the proportion of unqualified public places assessed by daily supervision and"double random"supervision in 2018 and 2019. Moreover, we identified that if the public places that had been penalized in 2018 would be penalized in 2019, which may reflect the effects of the"double random"supervision model.

ResultsThe proportion of unqualified public places assessed by"double random"supervision was significantly higher than daily supervision in 2018(χ² = 58.04, P < 0.05)and 2019(χ² = 79.24, P < 0.05);however, the proportion of being penalized in the following year between"double random"supervision and daily supervision had no significant difference(χ² = 1.81, P = 0.18).

Conclusion"Double random"supervision may be easier to identify the problems of the supervision subjects than daily supervision; however, it warrants continual efforts to consolidate the regulatory effects.