I think one statistally right way would be a seasonal Unit-Root-Test:
Proc Arima Data=<Data_Set>;
Identify Var=<Variable> Stationarity=(ADF=(1) DLag=12); /* Augmented Dickey-Fuller-Test with 1 autoregressive term; monthly data */
Identify Var=<Variable> (1) Stationarity=(ADF=(1) DLag=12); /* -"- in 1st differences */
Run;
There are other tests as well (and simpler methods). For example if you have quaterly data and carry out a trend regression you might check the dummy-coefficients for statistical significance.