Prevention of Relapse in Behavioral Disorders

The primary objective of this research project is to scientifically validate the effectiveness of a technological tool for monitoring and early detection of relapse in addiction treatment. The study will focus on comparing two approaches: the traditional comprehensive multidisciplinary treatment model and the same model enhanced by the integration of a digital technology. The comprehensive model addresses the biological, psychological, and social dimensions of substance use disorders through a structured sequence of phases: initial assessment, detoxification, withdrawal management, rehabilitation, social reintegration, and follow-up care. The core innovation of this study lies in the implementation of a digital application specifically designed to monitor patients' clinical status, detect early warning signs of relapse, and deliver timely, personalized interventions. A longitudinal quasi-experimental study will be conducted with a sample of 150 individuals diagnosed with substance use disorders (including alcohol, cocaine, and other stimulants). Validated assessment instruments will be used to evaluate clinical progress, comparing outcomes between patients receiving standard treatment and those receiving the same treatment augmented by the digital tool. Key outcome variables include reduction in withdrawal symptoms, decrease in craving, improvement in emotional well-being and psychosocial functioning, relapse rates, and patient satisfaction. In addition, the feasibility, acceptability, and clinical utility of the technological tool in therapeutic follow-up will be assessed. The study is expected to provide empirical evidence on the added value of the digital tool in addiction treatment, with the aim of optimizing existing clinical protocols and enhancing the long-term effectiveness of intervention strategies.