The advantages of using the recent Home Health Care model have drawn the attention of experts and managers in recent decades, gaining preference among healthcare institutions and patients. In the literature, various studies can be found, that present complex mathematical optimization models in order to obtain the best scheduling and routing solutions, intending to minimize operational costs, travel or service time, or maximizing the number of visits. To assist in this task, simulation techniques can be used as a way to test different scenarios in search of the best solutions without any intervention in the system until the final decision is made. In this work, we present a Systematic Literature Review focusing on the use of simulation as a tool to assist in the planning of Home Health Care operations. As a result, the application of Monte Carlo Simulation to improve the quality of input data or evaluate the results of the proposed approaches is observed, revealing an important research gap for dynamic simulation models or Discrete Event Simulation applications.