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.

Severity of Substance Use Disorder: Utility as an Outcome in Clinical Settings.

BACKGROUND: Some authors have pointed out the usefulness of the levels of substance use disorder (SUD) as a treatment outcome. However, in order to use this variable as an outcome measure, its impact needs to be addressed within a clinical context. The aim of this study was to analyze the sensitivity of SUD levels as a measure for detecting reliable changes and to make a comparison between the changes in SUD levels detected when using the number of criteria fulfilled and when using the reliable change index (RCI). METHODS: The sample consisted of 206 (106 in follow-up) patients diagnosed with abuse/dependence on alcohol and cocaine, according to DSM-IV criteria. The Substance Dependence Severity Scale for DSM-5 was used to determine current alcohol use disorder (AUD) and cocaine use disorder (CUD). Number of DSM-5 criteria fulfilled and RCI were used to determine the change in SUD levels. RESULTS: No association was found between adherence to/abandonment of treatment and AUD severity levels (χ2  = 7.029, p = 0.071) or CUD severity levels (χ2  = 2.044, p = 0.413). Statistical significant differences for levels of AUD (z = -3.870, p = 0.000) and CUD (z = -5.382, p = 0.000) were found between baseline assessment and follow-up. According to the number of DSM-5 criteria and RCI, the Kappa coefficient for the change in patient status (improved, worsened, or no change) was k = 0.61 for alcohol patients and k = 0.64 for cocaine patients. The "mild" category showed the greatest inconsistency between both procedures. CONCLUSIONS: Levels of SUD are sensitive to the impact of treatment as measured by the difference between the baseline assessment and 3-month follow-up. However, conclusions differ according to whether the DSM-5 criteria or the RCI is applied.

Comparison of Emotional Processing Between Patients with Substance Use Disorder and Those with Dual Diagnosis: Relationship with Severity of Dependence and Use During Treatment.

This study analyzed, in a Spanish sample, the differences in emotional processing in patients diagnosed with substance use disorder (SUD) and patients with a dual diagnosis (DD), and tested whether alterations in emotional regulation were related to the severity of dependence and consumption during treatment. A descriptive follow-up study was conducted with 88 adult outpatients (83% men) who were receiving treatment for alcohol and cocaine SUD. Of the sample, 43.2% presented dual diagnosis according to DSM-IV-TR criteria. Emotional processing was assessed with the IAPS, and dependence severity with the SDSS. Consumption was determined with self-reports and toxicological tests. Regression analyses revealed that the DD group had more difficulties in identifying the valence and arousal of the images than patients with SUD. Patients with DD presented more difficulty in identifying images in which valence was manipulated, but not in those in which arousal was manipulated. Cocaine use during treatment was associated with difficulties in identifying unpleasant (U = 734.0; p < .05) and arousing (U = 723.5; p < .05) images. Although these results are preliminary, findings suggest that impaired emotional processing is aggravated in dual patients, although it may be a common transdiagnostic factor in SUD and other comorbid mental disorders. Findings highlight the importance of evaluating emotional regulation to better understand its possible role in the maintenance of substance use.

Monitoring adherence and abstinence of cannabis use disorder patients: Profile identification and relationship with long-term treatment outcomes.

BACKGROUND: Patients with cannabis use disorder (CUD) show heterogeneous sociodemographic and consumption patterns. Although previous studies, focused on identifying subgroups of CUD patients using input variables, have yielded useful results for planning individualized treatments, no published research has analyzed the profiles of CUD patients according to their therapeutic progress. This study therefore aims to identify subgroups of patients using adherence and abstinence indicators and to explore whether these profiles are associated with sociodemographic characteristics, consumption variables, and long-term therapeutic outcomes. METHODS: This was a retrospective observational study with a multisite sample of 2055 CUD outpatients who were beginning treatment. The study monitored patient data at two-year follow-up. We conducted latent profiles analysis on the appointment attendance ratio and percentage of negative cannabis tests. RESULTS: A three profile solution emerged: i) moderate abstinence/moderate adherence (n = 997); ii) high abstinence/moderate adherence (n = 613); and iii) high abstinence/high adherence (n = 445). The study found the most marked differences at the beginning of treatment for education level (chi2 (8) = 121.70, p < .001), source of referral (chi2 (12) = 203.55, p < .001), and frequency of cannabis use (chi2 (10) = 232.39, p < .001). Eighty percent of patients from the "high abstinence/high adherence" group were relapse-free at two year follow-up. This percentage decreased to 24.3 % in the "moderate abstinence/moderate adherence" group. CONCLUSIONS: Research has shown adherence and abstinence indicators to be useful for identifying subgroups of patients with different prognoses regarding long-term success. Recognizing the sociodemographic and consumption variables associated with these profiles at the beginning of treatment could help to inform the design of more individualized interventions.

Changes in the Care Activity in Addiction Centers with Dual Pathology Patients during the COVID-19 Pandemic.

BACKGROUND: Health care provision during the COVID-19 pandemic and confinement has led to significant changes in the activity of addiction centers. These changes in healthcare activity may have had a greater impact on patients with dual pathology. The aim of this study is to compare the treatment indicators of patients with dual pathology in addiction centers during the pre-confinement, confinement, and post-confinement periods. METHODS: A retrospective observational study was conducted for the period between 1 February 2019 and 30 June 2021. A total of 2785 patients treated in specialized addiction services were divided into three periods according to their time of admission: pre-confinement, confinement, and post-confinement. RESULTS: During the pre-pandemic period, the addiction centers attended to an average of 121.3 (SD = 23.58) patients, decreasing to 53 patients during confinement (SD = 19.47), and 80.69 during the post-confinement period (SD = 15.33). The number of appointments scheduled monthly for each patient decreased during the confinement period, although this number increased after confinement. There was a reduction in the number of toxicological tests carried out both during and after confinement (except for alcohol). CONCLUSIONS: The results show a reduction in the number of patients seen and the care activity delivered to dual diagnosis patients. These results, which were caused by the COVID-preventive measures, may affect the progress and recovery of dual patients. A greater investment is needed to bring the care activity up to the standards of the years prior to confinement.

Retention in treatment and therapeutic adherence: How are these associated with therapeutic success? An analysis using real-world data.

INTRODUCTION: Treatment retention and adherence are used as outcomes in numerous randomized clinical trials and observational studies conducted in the addiction field. Although usual criteria are 3/6 months of treatment retention or number of sessions attended, there is not a methodological support for conclusions using these criteria. This study analyzed the usefulness of retention and adherence to predict therapeutic success. METHODS: Retrospective observational study using real-world data from electronic health records of 11,907 patients in treatment diagnosed with cocaine, alcohol, cannabis and opiate use disorders or harmful use. RESULTS: Moderate effect size relations were found between the different type of clinical discharge and months in retention (η2  = 0.12) and proportion of attendance (η2  = 0.10). No relationship was found with the number of sessions attended. Using cut-off points (i.e., 3 or 6 months in treatment or attending 6 therapy sessions) worsens the ability to predict the type of discharge. DISCUSSIONS/CONCLUSION: Treatment retention and adherence are indicators moderately related to therapeutic success. Research using these indicators to assess the effectiveness of therapies should complement their results with other clinical indicators and quality of life measures.

Bridge Nodes between Personality Traits and Alcohol-Use Disorder Criteria: The Relevance of Externalizing Traits of Risk Taking, Callousness, and Irresponsibility.

BACKGROUND: Personality disorders show strong comorbidities with alcohol-use disorder (AUD), and several personality traits have been found to be more frequent in people with AUD. This study analyzes which personality facets of those proposed in the Alternative Model of Personality Disorder (AMPD) of DSM-5 are associated with the diagnostic criteria of AUD. METHODS: The sample was composed of 742 participants randomly selected from the Spanish population, and 243 patients attending mental health services. All participants were of legal age and signed an informed consent form. The instruments were administered to the community sample in an online format, and a psychologist conducted individual face-to-face interviews with the patients. AMPD facets were assessed through the Personality Inventory of DSM-5 Short-Form, and the AUD criteria through the Substance Dependence Severity Scale. A network analysis was applied to identify the personality facets mostly associated with the AUD criteria. RESULTS: The network analysis showed the existence of three communities, grouping the AUD criteria, externalizing spectrum facets, and internalizing spectrum facets, respectively. Risk taking, callousness, and irresponsibility facets showed the strongest association with the AUD criteria, bridging externalizing personality traits with AUD criteria. CONCLUSIONS: The facets of risk taking, callousness, and irresponsibility should be accurately assessed in patients with AUD to differentiate between a possible primary personality disorder and a syndrome induced by alcohol addiction.

Impact of Cluster B Personality Disorders in Drugs Therapeutic Community Treatment Outcomes: A Study Based on Real World Data.

BACKGROUND: The impact of dual pathology on treatment outcomes is unclear, with the literature reporting both favorable and unfavorable evidence. The main aim of this study was to determine how dual pathology affects treatment outcomes using real world data obtained from inpatients that began treatment in therapeutic communities. METHOD: The data of 2458 inpatients were used. Clinical information was obtained from electronic medical records. Reliability of diagnosis was checked and revealed a mean kappa value of 0.88. RESULTS: Of the sample, 41.8% were discharged after achieving the therapeutic objectives. Patients diagnosed with Cluster B personality disorders were found to have a higher risk of dropping out of treatment (HR = 1.320; z = 2.61; p = 0.009). CONCLUSIONS: Personality traits exhibited by Cluster B patients can interfere with treatment in therapeutic communities. There is a need to develop specific interventions for these inpatient groups, which could be implemented in therapeutic communities.

Profiles of patients with cocaine and alcohol use disorder based on cognitive domains and their relationship with relapse.

BACKGROUND: Relapse in drug use constitutes a research topic on addiction that is relevant for understanding both the addictive process and its clinical implications. The objective of this study was to explore if it is possible to identify patient profiles according to their performance on cognitive tasks whilst examining the relationship between such profiles and relapse. METHODS: The sample consisted of 222 patients with dependence on cocaine and / or alcohol, of which 86 % were men. Cognitive domains related to salience, decision- making, and emotional processing were measured. RESULTS: Latent class analysis revealed three patient profiles that differ in terms of performance on cognitive tasks. Two of these profiles are clearly differentiated in terms of their execution of the impulsive decision-making task. The third patient profile, unlike the latter two, is composed of patients with severe alterations in the three domains evaluated. Analysis revealed that patients in Profile 3 are those with the highest rates of relapse in cocaine (Profile 1 = 40.3 %; Profile 2 = 35.6 %; Profile 3 = 69.2 %; Chi2 = 9.169; p < .05) and cocaine and alcohol use (Profile 1 = 55.1 %; Profile 2 = 54.1 %; Profile 3 = 80 %; Chi2 = 6.698; p < .05). CONCLUSIONS: The results support the postulates of the I-RISA model. From a clinical perspective, these findings highlight the need for a comprehensive evaluation of the cognitive domains involved in addiction.