Background and objectives. Schizophrenia is one of the top leading causes of disability worldwide, remaining despite of extensive research, one of the most common diagnoses to occupy psychiatric beds. Hospital readmission is a commonly used indicator of quality of care and it is considered incompatible with functional recovery. Taking this into consideration, clinically significant change can be translated into readmission rates. A various number of risk factors have been cited in literature, searching in different populations for a better way to complex management that can offer a highly-functional future in patients with a widely-known chronic and impairing disease. Our objective is to further study what are the possible predicting factors of the number of hospitalizations in a group of patients with schizophrenia. Methods. We conducted a study on schizophrenia patients from our clinic and demographical data was included (age, sex, environment, occupational and educational level), along with a psychiatric and somatic history, including the age of the onset, the duration of the disease, the treatment history in terms of typical or atypical antipsychotics was noted. We applied the Positive and Negative Schizophrenia Scale (PANSS) and Global Assessment of Functioning (GAF) Scale. We then analyzed the data with t-test. Results. A higher score on the Positive Scale and the General pathology Score of the PANSS test was relevant to predict a higher number of hospitalizations in this vulnerable population. Higher scores on PANSS test are a reflection of a more severe form of the pathology, representing a higher general impairment. Conclusion. There is undoubtedly an important aspect in finding more eloquent risk factors that can predict the number of hospitalizations in schizophrenia patients. The correlation between the higher score on Positive and General pathology Scale and the number of hospitalizations is an important step in coordinating further studies with the final purpose of offering better outcomes for this vulnerable population.