If you’re using Bayesian random-effect meta-analysis (which I highly recommend) then Q and I^2 are ill-defined. Furthermore, especially if you’re using non-normal likelihood approximations (again, highly recommended), these can be misleading metrics. Tau would seem a far more objective metric.
I’m sorry for the late. Does it means that I don’t need Q and I^2 value when it comes to using Baysian random-effect meta analysis? What exactly tau represent? I apologize my humble knowledge Thank you!