A new destructive cure rate model is introduced based on a family of power series distribution for the number of concurrent causes related to the event of interest. A mixture of first and last activation schemes is considered. For parameter estimation a classical approach based on maximum likelihood methodology is implemented. The performance of estimation procedure is evaluated based on a small scale simulation study. The model is also considered on a real data example, involving congestive heart failure patients.