A predictive model for retention in specialized HIV/AIDS care.

The establishment of universal targets for HIV/AIDS control and the implementation of treatment as prevention reinforce the need for on-going clinical follow-up of persons living with HIV/AIDS as an essential element of their care, where retention in care is both a need and a challenge. This study aimed to create a predictive model for retention of persons living with HIV/AIDS in health care. A decision tree statistical model was created, based on sociodemographic, clinical, and health behavior variables, identified in a database with information from 260 persons with HIV/AIDS, enrolled in a specialized treatment service.