The evaluation of healthcare pathways must be considered of fundamental importance. The quality of care provided to patients with severe mental disorders (SMD) does not correspond to the standards set by the recommendations. Therefore, measures such as the real coverage rate of psychiatric patients’ needs (contact coverage), by comparing epidemiological prevalence rates and the number of patients receiving adequate care, could be a valuable resource for implementing the transition to community mental health. However, simple assessment and reporting of rates of contact with mental healthcare potentially overestimate the full expected health benefits of services. Therefore, in addition to monitor the coverage rate achieved by the services, the evaluation of the effectiveness of the care provided (effective coverage) [De Silva et al. Int J Epidemiol 2014;43(2):341–53] is also of relevant importance.

To measure the gap between contact and effective coverage of mental healthcare, i.e., the effectiveness of interventions provided by services for the treatment of SMD in preventing an exacerbation of psychiatric symptoms.

Data were retrieved from Healthcare Utilization databases of four Italian Regions (Lombardy, Emilia-Romagna, Lazio, Sicily). 45,761 newly taken-in-care cases of depression, schizophrenia, bipolar, and personality disorder were included. A variant of the self-controlled case series method was used to estimate the incidence rate ratio (IRR) for the relationship between exposure (use of different types of mental healthcare such as pharmacotherapy, generic contacts with the outpatient service, psychosocial interventions, and psychotherapies) and relapse episodes (mental illness emergency hospital admissions).

11,500 relapses occurred. Relapse risk was reduced (Figure) 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 those with schizophrenia (0.58; 0.49 to 0.69), and bipolar disorder (0.59; 0.44 to 0.78). Coverage with generic mental healthcare, in the absence of psychosocial/psychotherapeutic interventions, did not affect the risk of relapse.

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Psychosocial interventions, psychotherapies and specific pharmacotherapies can be considered particularly effective in treating patients with bipolar, depressive, and schizophrenic disorders. This study ascertained the gap between utilization of mental healthcare and effective coverage, showing that real-world data can represent a useful resource to monitor mental healthcare paths and to assess the effectiveness of a mental health system.

None Declared

The Emerald project's focus is on how to strengthen mental health systems in six low- and middle-income countries (LMICs) (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda). This was done by generating evidence and capacity to enhance health system performance in delivering mental healthcare.

A common problem in scaling-up interventions and strengthening mental health programmes in LMICs is how to transfer research evidence, such as the data collected in the Emerald project, into practice.

To describe how core elements of Emerald were implemented and aligned with the ultimate goal of strengthening mental health systems, as well as their short-term impact on practices, policies and programmes in the six partner countries.

We focused on the involvement of policy planners, managers, patients and carers.

Over 5 years of collaboration, the Emerald consortium has provided evidence and tools for the improvement of mental healthcare in the six LMICs involved in the project. We found that the knowledge transfer efforts had an impact on mental health service delivery and policy planning at the sites and countries involved in the project.

This approach may be valid beyond the mental health context, and may be effective for any initiative that aims at implementing evidence-based health policies for health system strengthening.

There is a large treatment gap for mental, neurological or substance use (MNS) disorders. The ‘Emerging mental health systems in low- and middle-income countries (LMICs)’ (Emerald) research programme attempted to identify strategies to work towards reducing this gap through the strengthening of mental health systems.

To provide a set of proposed recommendations for mental health system strengthening in LMICs.

The Emerald programme was implemented in six LMICs in Africa and Asia (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda) over a 5-year period (2012–2017), and aimed to improve mental health outcomes in the six countries by building capacity and generating evidence to enhance health system strengthening.

The proposed recommendations align closely with the World Health Organization's key health system strengthening ‘building blocks’ of governance, financing, human resource development, service provision and information systems; knowledge transfer is included as an additional cross-cutting component. Specific recommendations are made in the paper for each of these building blocks based on the body of data that were collected and analysed during Emerald.

These recommendations are relevant not only to the six countries in which their evidential basis was generated, but to other LMICs as well; they may also be generalisable to other non-communicable diseases beyond MNS disorders.

None.

The aim of this study was to determine the factors associated with a feeling of well-being using the Edmonton Symptom Assessment Scale (ESAS)–Feeling of Well-Being item (ESAS–FWB; where 0 = best and 10 = worst) among advanced lung or non-colonic gastrointestinal cancer patients who were referred to an outpatient palliative care clinic (OPCC). We also examined the association of performance on the ESAS–FWB with overall survival (OS).

We reviewed the records of consecutive patients with incurable advanced lung cancer and non-colonic gastrointestinal cancer presenting to an OPCC from 1 January 2008 through to 31 December 2013. Descriptive statistics were employed to summarize patient characteristics. Multivariate regression analysis was used to determine the factors associated with ESAS–FWB severity. We also examined the association of ESAS–FWB scores and survival using Kaplan–Meier survival analysis.

A total of 826 evaluable patients were analyzed (median age = 62 years, 57% male). Median ESAS–FWB scores were five times the interquartile range (5 × IQR; 3–7). ESAS–FWB score was found to be significantly associated with ESAS fatigue (OR = 2.31, p < 0.001); anxiety (OR = 1.98, p < 0.001); anorexia (OR = 2.31, p < 0.001); cut down, annoyed, guilty, eye opener (CAGE) score (hazard ratio [HR] = 1.80, p = 0.008); and family caregiver distress (HR = 1.93, p = 0.002). A worse ESAS–FWB score was significantly associated with decreased OS (r = –0.18, p < 0.001). However, ESAS–FWB score was not independently associated with OS in the final multivariate model (p = 0.35), which included known major clinical prognostic factors.

Worse ESAS–FWB scores were significantly associated with high scores on ESAS fatigue, anorexia, anxiety, CAGE, and family caregiver distress. More research is necessary to understand how palliative care interventions are capable of improving the contributory factors related to ESAS–FWB score.

Self-reported sleep disturbance (SD) is a distressing symptom in patients with advanced cancer. There are limited data on the treatment of SD and predictors to response of SD to outpatient supportive care clinic (OPC) consultation. The aims of our study was to determine the frequency, intensity, and correlates of SD as assessed with the Edmonton Symptom Assessment System (ESAS) sleep item at the time of initial consultation and identify the predictors of improvement in SD at follow-up.

We reviewed the records of consecutive patients with advanced cancer presenting to the OPC. ESAS scores were obtained at the initial and subsequent visits between January 2008 and February 2010. All patients underwent screening for SD (0–10 scale: 0 = best sleep, presence of SD defined as ≥3) and interdisciplinary assessment and treatment, including drug review, counseling, sleep hygiene review, and drug therapy. A response was defined as a 1-point improvement at the follow-up visit on the Edmonton Symptom Assessment Scale (ESAS) sleep item score. Baseline patient characteristics, medication use, and ESAS scores were analyzed to determine their association with response.

The median age was 58 years, and 53% of patients were men. The most common cancer type was head and neck or lung (36%). Of the 442 patients, 330 had baseline SD (score ≥3/10, 75%). Median and mean (standard deviation) baseline SD scores were 5 and 5.1 (2.9). The multivariable regression model found the intensity of baseline ESAS sleep item scores to be associated with baseline sedative use, baseline ESAS pain scores, baseline ESAS fatigue scores, baseline ESAS feeling of well-being scores, and sedative use (R2 = 0.22). Sleep disturbance response at first follow-up was seen in 196 of 330 patients (59%). Moderate to high SD score and anxiety at initial visit with odds ratios (OR) of 2.53 (p = 0.0007) and 1.59 (p = 0.048), respectively, were associated with a response.

Both the frequency and severity of SD were high. Response to supportive care consultation was substantial. The severity of SD and anxiety at the initial visit predicted a response at first follow-up. Further research is needed.

Cannabis use has been reported to be associated with an earlier onset of symptoms in patients with first-episode psychosis, and a worse outcome in those who continue to take cannabis. In general, studies have concentrated on symptoms of psychosis rather than mania. In this study, using a longitudinal design in a large naturalistic cohort of patients with first-episode psychosis, we investigated the relationship between cannabis use, age of presentation to services, daily functioning, and positive, negative and manic symptoms.

Clinical data on 502 patients with first-episode psychosis were collected using the MiData audit database from seven London-based Early Intervention in psychosis teams. Individuals were assessed at two time points – at entry to the service and after 1 year. On each occasion, the Positive and Negative Syndrome Scale, Young Mania Rating Scale and Global Assessment of Functioning Scale disability subscale were rated. At both time points, the use of cannabis and other drugs of abuse in the 6 months preceding each assessment was recorded.

Level of cannabis use was associated with a younger age at presentation, and manic symptoms and conceptual disorganization, but not with delusions, hallucinations, negative symptoms or daily functioning. Cannabis users who reduced or stopped their use following contact with services had the greatest improvement in symptoms at 1 year compared with continued users and non-users. Continued users remained more symptomatic than non-users at follow-up.

Effective interventions for reducing cannabis use may yield significant health benefits for patients with first-episode psychosis.

Ethnic variations have previously been identified in the duration of untreated psychosis (DUP) and pathways into psychiatric services. These have not been examined in the context of early intervention services, which may alter these trajectories.

To explore ethnic differences in the nature and duration of pathways into early intervention services.

In a naturalistic cohort study, data were collected for 1024 individuals with psychotic disorders accepted for case management by eight London early intervention services.

Duration of untreated psychosis was prolonged in the White British group compared with most other ethnic groups. White British individuals were more likely to make contact with their general practitioner and less likely to be seen within emergency medical services. All Black patient groups were more likely than their White British counterparts to experience involvement of criminal justice agencies.

Variations continue to exist in how and when individuals from different ethnic groups access early intervention services. These may account for disparities in DUP.