Modeling the Therapeutic Process of Patients with Cocaine Use Disorders: A Guide for Predicting Readmission.

INTRODUCTION: Patients with cocaine use disorders have very high readmission rates. Our aim was to model the relationships between attributes of patients with cocaine use disorder at the beginning of treatment, therapeutic process indicators of time in treatment or proportion of appointments attended, and treatment outcomes, including outcomes at discharge and non-readmissions posttreatment as indicators of therapeutic success. METHOD: A retrospective observational design was used with 10,298 cocaine use disorder patients. Electronic health records were used for statistical analysis of the data. Randomized subsample 1 (n = 5,150) was used for exploratory analysis and subsample 2 (n = 5,148) for modeling relationships between the variables. RESULTS: Patients attributes at intake (e.g., legal services as the source of referral) were of limited significance in explaining time in treatment, proportion of appointments attended, and treatment outcomes. Time in treatment and proportion of appointments attended emerged as significant factors in explaining outcomes at discharge. However, readmissions were primarily explained by time in treatment and outcomes at discharge, although referrals to addiction centers by health services also appeared to be relevant for explaining readmission. DISCUSSION/CONCLUSION: Our study has shown that maintaining a sufficient appointment attendance rate and remaining in treatment for a longer duration are critical therapeutic process indicators for explaining outcomes at the point of discharge and therapeutic success, as indicated by a reduced likelihood of readmissions. Patients who remained in treatment for an extended period were found to have a reduced risk of future readmissions. In addition, our study highlights the importance of maintaining a satisfactory appointment attendance rate to attain successful short- and medium-term therapeutic discharge outcomes. These guidelines could help to increase the efficiency of patient treatment and alleviate the suffering of both patients and their families.

Examining Profiles and Treatment Outcomes in Dual Diagnosis: Comparison of Coordinated Treatment With Mental Health Services Versus Addiction Center Alone. A Real-World Data Analysis.

OBJECTIVE: The aim of this work was to examine the profile and treatment outcomes of patients with dual pathology depending on whether the patients were attending addiction centers or are being treated in a coordinated model by mental health services. METHODS: Data from 7225 dual diagnosis patients were used, of whom 2417 (33.5%) received treatment in the mental health coordinated modality. Clinical information was taken from the patients' electronic health record. RESULTS: Differences were found in patients' sociodemographic and comorbidity profiles according to treatment modality. In general, coordinated care yielded favorable outcomes (higher attendance and lower dropout rates but no differences in retention). The logistic regression analysis identified predictors of patient profiles in coordinated care, emphasizing having a severe mental health disorder (OR = 3.878, 95% CI [3.443, 4.368]; p = .000), being referred by social/health services, or having retired status. Main differences were observed according to the comorbid diagnosis presented, particularly in cases in which the patient had impulse control, hyperkinetic, or cluster C personality disorder. CONCLUSIONS: While therapeutic outcomes are influenced by associated comorbidities, the disorders prognosis can be favorable with appropriate treatment. Furthermore, analysis of differences according to treatment modality allows for predicting the type of patient who will receive a particular service, which enables the development of tailored treatments.

The moderating role of sex in the relationship between cannabis use treatment admission profile and treatment processes and outcomes: A gender perspective.

BACKGROUND: Gender-specific interventions are crucial in addressing substance use disorders -particularly cannabis use disorder - as they allow for tailored therapeutic approaches and increase the likelihood of successful outcomes. However, differences in therapeutic processes and outcomes between males and females are often not observed, making the prognosis and development of such interventions more difficult. OBJECTIVE: This study aimed to examine the moderating role of sex in the relationship between treatment admission profile characterized by indicators of cannabis use and sociodemographic sources of gender inequality (e.g., employment status) and adherence and outcome at discharge. METHOD: A multicentric retrospective observational study was conducted with a sample of 3,814 outpatients diagnosed with cannabis use disorder. Electronic health records were used for data analysis. RESULTS: The interaction between sex and the number of children, as well as pre-treatment cannabis use, predicted lower treatment adherence, particularly among females. Additionally, the interaction between sex and the number of children predicted outcomes at discharge, with females showing a higher likelihood of dropout compared to males. DISCUSSION AND CONCLUSION: Enhanced comprehensive treatment with intensified contingency management programs should be prioritized for females (especially those with children) who have consumed cannabis in the month before treatment. Adopting a treatment policy framework incorporating sex/gender-sensitive therapist training and evaluative measures is essential for optimizing treatment outcomes for all patients.