Allocation of Users of Mental Health Services to Needs-Based Care Clusters: An Italian Pilot Study.

In Italy, despite strong community-based mental health services, needs assessment is unsatisfactory. Using the Mental Health Clustering Tool (MHCT) we adopted a multidimensional and non-diagnosis dependent approach to assign mental health services users with similar needs to groups corresponding to resources required for effective care. We tested the MHCT in nine Departments of Mental Health in four Italian regions. After a brief training, 318 professionals assessed 12,938 cases with a diagnosis of schizophrenia, depression, bipolar disorder and personality disorder through the MHCT. 53% of cases were 40-59 years, half were females, 51% had a diagnosis of schizophrenia, 48% of cases were clinically severe. Clusters included different levels of clinical severity and diagnostic groups. The largest cluster was 11 (ongoing recurrent psychosis), with 18.9% of the sample, followed by cluster 3 (non-psychotic disorders of moderate severity). The MHCT could capture a variety of problems of people with mental disorders beyond the traditional psychiatric assessment, therefore depicting service population from a different standpoint. Following a brief training, MHCT assessment proved to be feasible. The automatic allocation of cases made the attribution to clusters easy and acceptable by professionals. To what extent clustering provide a sound base for care planning will be the matter of further research.

Assessing the quality of the care offer for people with personality disorders in Italy: the QUADIM project. A multicentre research based on the database of use of Mental Health services.

BACKGROUND: Italy can be viewed as a laboratory to assess the quality of mental healthcare delivered in a community-oriented system, especially for severe mental disorders, such as personality disorders. Although initiatives based on clinical indicators for assessing the quality of mental healthcare have been developed by transnational-organisations, there is still no widespread practice of measuring the quality of care pathways delivered to patients with severe mental disorders in a community-oriented system, especially using administrative healthcare databases. The aim of the study is to evaluate the quality of care delivered to patients with personality disorders taken-in-care by mental health services of four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS: A set of thirty-three clinical indicators, concerning accessibility, appropriateness, continuity, and safety of care, was implemented using regional healthcare utilization databases, containing data on mental health treatments and diagnosis, hospital admissions, outpatient interventions and exams and drug prescriptions. RESULTS: 31,688 prevalent patients with personality disorders treated in 2015 were identified, of whom 2,331 newly taken-in-care. One-in-10 patients received a standardized assessment, the treatment discontinuity affected half of the cases. 12.7% of prevalent patients received at least one hospitalization, 10.6% in the newly taken-in-care cohort. 6-out-of-10 patients had contact with community-services within 14 days from hospital discharge. Access to psychotherapy and psychoeducational treatments was low and delivered with a low intensity. The median of psychosocial interventions per person-year was 19.1 and 9.4, respectively, in prevalent and newly taken-in-care cases. Nearly 50% of patients received pharmacological treatments. CONCLUSIONS: Healthcare utilization databases were used to systematically evaluate and assess service delivery across regional mental health systems; suggesting that in Italy the public mental health services provide to individuals with personality disorders suboptimal treatment paths.

Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system.

BACKGROUND: Mental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes. METHODS: Since diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014-2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions. RESULTS: Substantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on total costs. CONCLUSIONS: The current MH care system in Italy lacks evidence of coordination of physical and mental health and matching services to patient needs, with high variation between regions. Using available assessment tools and administrative data, implementation of an episodic approach to funding MH could account for differences in disease phase and physical health for patients with SMDs and introduce performance measurement to improve outcomes and provide oversight.

The quality of mental health care for people with bipolar disorders in the Italian mental health system: the QUADIM project.

BACKGROUND: The assessment of the quality of care pathways delivered to people with severe mental disorders in a community-based system remains uncommon, especially using healthcare utilization databases. The aim of the study was to evaluate the quality of care provided to people with bipolar disorders taken-in-care by mental health services of four Italian areas (Lombardy, Emilia-Romagna, Lazio, province of Palermo). METHODS: Thirty-six quality indicators were implemented to assess quality of mental health care for patients with bipolar disorders, according to three dimensions (accessibility and appropriateness, continuity, and safety). Data were retrieved from healthcare utilization (HCU) databases, which contain data on mental health treatments, hospital admissions, outpatient interventions, laboratory tests and drug prescriptions. RESULTS: 29,242 prevalent and 752 incident cases taken-in-care by regional mental health services with a diagnosis of bipolar disorder in 2015 were identified. Age-standardized treated prevalence rate was 16.2 (per 10,000 adult residents) and treated incidence rate 1.3. In the year of evaluation, 97% of prevalent cases had ≥ 1 outpatient/day-care contacts and 88% had ≥ 1 psychiatric visits. The median of outpatient/day-care contacts was 9.3 interventions per-year. Psychoeducation was provided to 3.5% of patients and psychotherapy to 11.5%, with low intensity. 63% prevalent cases were treated with antipsychotics, 71.5% with mood stabilizers, 46.6% with antidepressants. Appropriate laboratory tests were conducted in less than one-third of prevalent patients with a prescription of antipsychotics; three quarters of those with a prescription of lithium. Lower proportions were observed for incident patients. In prevalent patients, the Standardized Mortality Ratio was 1.35 (95% CI: 1.26-1.44): 1.18 (1.07-1.29) in females, 1.60 (1.45-1.77) in males. Heterogeneity across areas was considerable in both cohorts. CONCLUSIONS: We found a meaningful treatment gap in bipolar disorders in Italian mental health services, suggesting that the fact they are entirely community-based does not assure sufficient coverage by itself. Continuity of contacts was sufficient, but intensity of care was low, suggesting the risk of suboptimal treatment and low effectiveness. Care pathways were monitored and evaluated using administrative healthcare databases, adding evidence that such data may contribute to assess the quality of clinical pathways in mental health.

A public early intervention approach to first-episode psychosis: Treated incidence over 7 years in the Emilia-Romagna region.

AIM: To estimate the treated incidence of individuals with first-episode psychosis (FEP) who contacted the Emilia-Romagna public mental healthcare system (Italy); to examine the variability of incidence and user characteristics across centres and years. METHODS: We computed the raw treated incidence in 2013-2019, based on FEP users aged 18-35, seen within or outside the regional program for FEP. We modelled FEP incidence across 10 catchment areas and 7 years using Bayesian Poisson and Negative Binomial Generalized Linear Models of varying complexity. We explored associations between user characteristics, study centre and year comparing variables and socioclinical clusters of subjects. RESULTS: Thousand three hundred and eighteen individuals were treated for FEP (raw incidence: 25.3 / 100.000 inhabitant year, IQR: 15.3). A Negative Binomial location-scale model with area, population density and year as predictors found that incidence and its variability changed across centres (Bologna: 36.55; 95% CrI: 30.39-43.86; Imola: 3.07; 95% CrI: 1.61-4.99) but did not follow linear temporal trends or density. Centers were associated with different user age, gender, migrant status, occupation, living conditions and cluster distribution. Year was associated negatively with HoNOS score (R = -0.09, p < .001), duration of untreated psychosis (R = -0.12, p < .001) and referral type. CONCLUSIONS: The Emilia-Romagna region presents a relatively high but variable incidence of FEP across areas, but not in time. More granular information on social, ethnic and cultural factors may increase the level of explanation and prediction of FEP incidence and characteristics, shedding light on social and healthcare factors influencing FEP.

Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project).

Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.

Cancer mortality in Common Mental Disorders: A 10-year retrospective cohort study.

PURPOSE: Individuals with Common Mental Disorders (CMDs) may have a higher cancer mortality. The purpose of this study was to examine cancer-related mortality among patients with CMDs and verify which cancer types are predominantly involved. METHODS: We used the Regional Mental Health Registry of the Emilia-Romagna region, in Northern Italy to identify patients aged ≥ 18 years who received an ICD 9-CM diagnosis of CMDs (i.e., depressive and neurotic disorders) over a 10 year period (2008-2017). Information on cause of death was retrieved from the Regional Cause of Death Registry. Comparisons were made with data from the regional population without CMDs. RESULTS: Among 101,487 patients suffering from CMDs (55.7% depression; 44.3% neurotic disorders), 3,087 (37.8%) died from neoplasms. The total standardized mortality ratio (SMR) was 1.82 (95% CI 1.78-1.86) while the SMR for all neoplasms was 2.08 (95% CI 2.01-2.16). Individuals of both genders, with both depressive and neurotic disorders had a higher risk of death from almost all cancers compared with the regional population. CONCLUSION: Patients with CMDs have considerably higher cancer mortality risk than the general population. Higher mortality was observed for a broad range of cancers associated with different aetiologies. It is imperative to promote cancer awareness, prevention and treatment for people with CMDs.

From contact coverage to effective coverage of community care for patients with severe mental disorders: A real-world investigation from Italy.

Objectives: To measure the gap between contact and effective coverage of mental healthcare (MHC). Materials and methods: 45,761 newly referred cases of depression, schizophrenia, bipolar disorder, and personality disorder from four Italian regions were included. A variant of the self-controlled case series method was adopted to estimate the incidence rate ratio (IRR) for the relationship between exposure (i.e., use of different types of MHC such as pharmacotherapy, generic contact with the outpatient services, psychosocial intervention, and psychotherapy) and relapse (emergency hospital admissions for mental illness). Results: 11,500 relapses occurred. Relapse risk was reduced during periods covered by (i) psychotherapy for patients with depression (IRR 0.67; 95% CI: 0.49 to 0.91) and bipolar disorder (0.64; 0.29 to 0.99); (ii) psychosocial interventions for those with depression (0.74; 0.56 to 0.98), schizophrenia (0.83; 0.68 to 0.99), and bipolar disorder (0.55; 0.36 to 0.84), (iii) pharmacotherapy for patients with schizophrenia (0.58; 0.49 to 0.69), and bipolar disorder (0.59; 0.44 to 0.78). Coverage with generic care, in absence of psychosocial/psychotherapeutic interventions, did not affect risk of relapse. Conclusion: This study ascertained the gap between contact and effective coverage of MHC and showed that administrative data can usefully contribute to assess the effectiveness of a mental health system.

The quality of mental health care delivered to patients with schizophrenia and related disorders in the Italian mental health system. The QUADIM project: a multi-regional Italian investigation based on healthcare utilisation databases.

AIMS: To evaluate the quality of mental health care delivered to patients with schizophrenia and related disorders taken-in-care by mental health services in four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). METHODS: Thirty-one clinical indicators concerning accessibility, appropriateness, continuity and safety were defined and estimated using healthcare utilisation (HCU) databases, containing data on mental health treatments, hospital admissions, outpatient interventions, lab tests and drug prescriptions. RESULTS: A total of 70 586 prevalent patients with schizophrenia and related disorders treated in 2015 were identified, of whom 1752 were newly taken-in-care by the facilities of regional mental health services. For most patients community care was accessible and moderately intensive. However, care pathways were not implemented based on a structured assessment and only half of the patients received psychosocial treatments. One patient out of ten had access to psychological interventions and psychoeducation. Activities specifically addressed to families involved a third of prevalent patients and less than half of new patients. One patient out of six was admitted to a community residential facility, and one out of ten to a General Hospital Psychiatric Ward (GHPW); higher values were identified in new cases. In general hospitals, few patients had a length of stay (LoS) of more than 30 days, while one-fifth of the admissions were followed by readmission within 30 days of discharge. For two-thirds of patients, continuity of community care was met, and six times out of ten a discharge from a GHPW was followed by an outpatient contact within 2 weeks. For cases newly taken-in-care, the continuity of community care was uncommon, while the readiness of outpatient contacts after discharge was slightly more frequent. Most of the patients received antipsychotic medication, but their adherence to long-term treatment was low. Antipsychotic polytherapy was frequent and the control of metabolic side effects was poor. The variability between regions was high and consistent in all the quality domains. CONCLUSIONS: The Italian mental health system could be improved by increasing the accessibility to psychosocial interventions, improving the quality of care for newly taken-in-care patients, focusing on somatic health and mortality, and reducing regional variability. Clinical indicators demonstrate the strengths and weaknesses of the mental health system in these regions, and, as HCU databases, they could be useful tools in the routine assessment of mental healthcare quality at regional and national levels.

Does the mental health system provide effective coverage to people with schizophrenic disorder? A self-controlled case series study in Italy.

PURPOSE: To measure indicators of timeliness and continuity of treatments on patients with schizophrenic disorder in 'real-life' practice, and to validate them through their relationship with relapse occurrences. METHODS: The target population was from four Italian regions overall covering 22 million beneficiaries of the NHS (37% of the entire Italian population). The cohort included 12,054 patients newly taken into care for schizophrenic disorder between January 2015 and June 2016. The self-controlled case series (SCCS) design was used to estimate the incidence rate ratio of relapse occurrences according to mental healthcare coverage. RESULTS: Poor timeliness (82% and 33% of cohort members had not yet started treatment with psychosocial interventions and antipsychotic drug therapy within the first year after they were taken into care) and continuity (27% and 23% of patients were persistent with psychosocial interventions, and antipsychotic drug therapy within the first 2 years after starting the specific treatment) were observed. According to SCCS design, 4794 relapses occurred during 9430 PY (with incidence rate of 50.8 every 100 PY). Compared with periods not covered by mental healthcare, those covered by psychosocial intervention alone, antipsychotic drugs alone and by psychosocial intervention and antipsychotic drugs together were, respectively, associated with relapse rate reductions of 28% (95% CI 4-46%), 24% (17-30%) and 44% (32-53%). CONCLUSION: Healthcare administrative data may contribute to monitor and to assess the effectiveness of a mental health system. Persistent use of both psychosocial intervention and antipsychotic drugs reduces risk of severe relapse.

Mortality from cancer in people with severe mental disorders in Emilia Romagna Region, Italy.

OBJECTIVE: To examine cancer-related mortality in patients with severe mental disorders (SMI) in the Emilia Romagna (ER) Region, Northern Italy, during the period 2008-2017 and compare it with the regional population. METHODS: We used the ER Regional Mental Health Registry identifying all patients aged ≥18 years who had received an ICD-9CM system diagnosis of SMI (i.e., schizophrenia or other functional psychosis, mania, or bipolar affective disorders) during a 10-year period (2008-2017). Information on deaths (date and causes of death) were retrieved through the Regional Cause of Death Registry. Comparisons were made with the deaths and cause of deaths of the regional population over the same period. RESULTS: Amongst 12,385 patients suffering from SMI (64.1% schizophrenia spectrum and 36.9% bipolar spectrum disorders), 24% (range 21%-29%) died of cancer. In comparison with the general regional population, the mortality for cancer was about 50% higher among patients with SMI, irrespective if affected by schizophrenia or bipolar disorders. As for the site-specific cancers, significant excesses were reported for stomach, central nervous system, respiratory, and pancreas cancer with a variability according to psychiatric diagnosis and gender. CONCLUSIONS: Patients suffering from SMI had higher mortality risk than the regional population with some differences according to cancer type, gender, and psychiatric diagnosis. Proper cancer preventive and treatment interventions, including more effective risk modification strategies (e.g., smoking cessation, dietary habits) and screening for cancer, should be part of the agenda of all mental health departments in conjunction with other health care organizations, including psycho-oncology.

Mortality in mental health patients of the Emilia-Romagna region of Italy: A registry-based study.

Evidence from previous research demonstrated a gap in mortality between patients with mental disorders and the general population. However, a more exhaustive assessment is required to address this public health issue. The aim of this study was to provide comprehensive analysis of mortality examining all causes of death and all psychiatric diagnoses. We conducted a 10-year retrospective cohort study, including all in and out patients registered in the Mental Health Registry of Emilia-Romagna, Italy. Standardized mortality ratios (SMRs) were calculated. The cohort consisted of 137,351 patients 11,236 of whom died during the study period and the overall SMR was 1.99. 85.9 % of excess mortality was attributable to a broad range of natural causes. Diseases of circulatory and respiratory systems as well as neoplasms were the principal contributors to the mortality gap. All psychiatric conditions led to a higher risk of death. The greatest excess was due to neoplasms in depressed and neurotic patients and to cardiovascular diseases in patients with schizophrenia and personality disorders. Our results highlight the need for close collaboration between mental and primary health care services with the aim of reducing excess mortality as a result of medical diseases among all patients suffering from psychiatric condition.

The impact of psychopathological subtypes on retention rate of patients with substance use disorder entering residential therapeutic community treatment.

BACKGROUND: A specific psychopathology of addiction has been proposed and described using the self-report symptom inventory (SCL-90), leading to a 5-factor aggregation of psychological/psychiatric symptoms: 'worthlessness and being trapped', 'somatic symptoms', 'sensitivity-psychoticism', 'panic-anxiety' and 'violence-suicide' in various populations of patients with heroin use disorder (HUD) and other substance use disorders (SUDs). These clusters of symptoms, according to studies that have highlighted the role of possible confounding factors (such as demographic and clinical characteristics, active heroin use, lifetime psychiatric problems and kind of treatment received by the patients), seem to constitute a trait rather than a state of the psychological structure of addiction. These five psychopathological dimensions defined on the basis of SCL-90 categories have also been shown to be correlated with the outcomes of a variety of agonist opioid treatments. The present study aims to test whether the 5-factor psychopathological model of addiction correlates with the outcome (retention rate) of patients with SUDs entering a therapeutic community (TC) treatment. METHODS: 2016 subjects with alcohol, heroin or cocaine dependence were assigned to one of the five clusters on the basis of the highest SCL-90 factor score shown. Retention in treatment was analysed by means of the survival analysis and Wilcoxon statistics for comparison between the survival curves. The associations between the psychopathological subtypes defined by SCL-90 categories and length of retention in treatment, after taking into account substance of abuse and other sociodemographic and clinical variables, were summarized using Cox regression. RESULTS: Patients with cocaine use disorder (CUD) showed poorer outcomes than those with heroin dependence (HUD). Prominent symptoms of "worthlessness-being trapped" lead to a longer retention in treatment than in the case of the other four prominent psychopathological groups. At the multivariate level, age, detoxified status and total number of psychopathological symptoms proved to influence outcome negatively, especially in CUD. Somatic symptoms and violence-suicide symptoms turned out to correlate with dropout from residential treatment. CONCLUSIONS: The SCL-90 5-factor dimensions can be appropriately used as a prognostic tool for drug-dependent subjects entering a residential treatment.

Psychopathology of addiction: May a SCL-90-based five dimensions structure be applied irrespectively of the involved drug?

BACKGROUND: We previously found a five cluster of psychological symptoms in heroin use disorder (HUD) patients: 'worthlessness-being trapped', 'somatic-symptoms', 'sensitivity-psychoticism', 'panic-anxiety', and 'violence-suicide'. We demonstrated that this aggregation is independent of the chosen treatment, of intoxication status and of the presence of psychiatric problems. METHODS: 2314 Subjects, with alcohol, heroin or cocaine dependence were assigned to one of the five clusters. Differences between patients dependent on alcohol, heroin and cocaine in the frequency of the five clusters and in their severity were analysed. The association between the secondary abuse of alcohol and cocaine and the five clusters was also considered in the subsample of HUD patients. RESULTS: We confirmed a positive association of the 'somatic symptoms' dimension with the condition of heroin versus cocaine dependence and of the 'sensitivity-psychoticism' dimension with the condition of alcohol versus heroin dependence. 'Somatic symptoms' and 'panic anxiety' successfully discriminated between patients as being alcohol, heroin or cocaine dependents. Looking at the subsample of heroin dependents, no significant differences were observed. CONCLUSIONS: The available evidence coming from our results, taken as a whole, seems to support the extension of the psychopathological structure previously observed in opioid addicts to the population of alcohol and cocaine dependents.

Psychopathological symptoms of patients with heroin addiction entering opioid agonist or therapeutic community treatment.

BACKGROUND: The relationship between substance use disorders and psychiatric pathology is still an open question. The main aim of the present study was to verify whether the five psychopathological dimensions identified through the SCL-90 tool in a previous study carried out on patients with heroin addiction entering an outpatient opioid agonist treatment (OAT) were also observable in those entering a residential treatment community (TC). Further aims were to look at differences in the psychopathological profiles of patients entering a TC versus an OAT treatment and at the correlation between gender and the observed psychopathology. METHODS: A confirmatory factor analysis was performed on the results of SCL-90 filled by 1,195 patients with heroin dependence entering TC treatment. It replicates the extraction method previously used on 1,055 OAT patients with heroin addiction by using a principal component factor analysis (PCA). The association between the kind of treatment received (TC or OAT), gender, and the psychopathological dimensions was assessed through logistic regression and general linear model (GLM) analysis. RESULTS: The PCA carried out on the SCL-90 results of patients entering a TC yielded a five-factor solution, confirming the same dimensions observed in patients entering an OAT: 'worthlessness and being trapped', 'somatization', 'sensitivity-psychoticism', 'panic anxiety', and 'violence-suicide'. The logistic regression analysis showed a statistically significant association between 'somatization' and 'violence-suicide' severity score and OAT. GLM analysis showed that psychopathological factorial scores for 'worthlessness-being trapped', 'somatic symptoms', and 'panic anxiety' dimensions were more severe in OAT vs TC male patients and in TC vs OAT female ones. 'Violence suicide' followed the same severity pattern for males, but did not differ in TC vs OAT females, while 'sensitivity-psychoticism' did not differ in OAT vs TC patients. The five dimensions did not differ in OAT males vs females. CONCLUSIONS: Our research appears to confirm the existence of a specific aggregation of psychological/psychiatric features within the category of individuals with heroin addiction. It also shows a correlation between the dominant psychopathological subgroup and the assignment to TC versus OAT. Further research is needed to clarify the differences between the five psychopathological subgroups and their determinants.

The effects of the macro-environment on treatment retention for problem cocaine users.

BACKGROUND: Client dropout is commonly used as an indicator of quality and effectiveness of drug treatment. Following increasing cocaine use in recent years, research has attempted to identify predictors of retention in treatment for cocaine users but there is no consensus about how individual characteristics and system variables (referral source, treatment setting), what we term here as the "macro-environment" - effect risk of dropout. This study sought to identify macro-environmental factors and examine the way these impact upon treatment retention. METHODS: A retrospective longitudinal study of an admission cohort among drug services in Vasta Romagna in Emilia Romagna Region, Italy (up to 8 years of treatment or until discharge) was conducted to determine the effect of macro-environmental variables on retention among first time admitted cocaine-dependent clients in different treatment settings. The sample consisted of 1178 clients meeting DSM-IV-R criteria for cocaine dependence. RESULTS: The joint effect of individual and system factors had a significant impact on dropout rates. In particular, lower rates of dropout were observed for those treated in prison and those who had a stable home, HR: 0.09 (0.02-0.48), or lived in rehabilitation units, HR: 0.36 (0.15-0.88), and among clients referred by the local authority and those living with parents, HR: 0.60 (0.38-0.95). CONCLUSION: The combined effect of individual and system factors on retention in treatment sets a critical background necessary to assess any impact of organizational dynamics and delineate the trajectory for future interventions.