Depressive and anxiety disorders are highly comorbid, which has been theorized to be due to an underlying internalizing vulnerability. We aimed to identify groups of participants with differing vulnerabilities by examining the course of internalizing psychopathology up to age 45.

We used data from 24158 participants (aged 45+) in 23 population-based cross-sectional World Mental Health Surveys. Internalizing disorders were assessed with the Composite International Diagnostic Interview (CIDI). We applied latent class growth analysis (LCGA) and investigated the characteristics of identified classes using logistic or linear regression.

The best-fitting LCGA solution identified eight classes: a healthy class (81.9%), three childhood-onset classes with mild (3.7%), moderate (2.0%), or severe (1.1%) internalizing comorbidity, two puberty-onset classes with mild (4.0%) or moderate (1.4%) comorbidity, and two adult-onset classes with mild comorbidity (2.7% and 3.2%). The childhood-onset severe class had particularly unfavorable sociodemographic outcomes compared to the healthy class, with increased risks of being never or previously married (OR = 2.2 and 2.0, p < 0.001), not being employed (OR = 3.5, p < 0.001), and having a low/low-average income (OR = 2.2, p < 0.001). Moderate or severe (v. mild) comorbidity was associated with 12-month internalizing disorders (OR = 1.9 and 4.8, p < 0.001), disability (B = 1.1–2.3, p < 0.001), and suicidal ideation (OR = 4.2, p < 0.001 for severe comorbidity only). Adult (v. childhood) onset was associated with lower rates of 12-month internalizing disorders (OR = 0.2, p < 0.001).

We identified eight transdiagnostic trajectories of internalizing psychopathology. Unfavorable outcomes were concentrated in the 1% of participants with childhood onset and severe comorbidity. Early identification of this group may offer opportunities for preventive interventions.

Major depressive disorder (MDD) is a leading cause of morbidity and mortality. Shortfalls in treatment quantity and quality are well-established, but the specific gaps in pharmacotherapy and psychotherapy are poorly understood. This paper analyzes the gap in treatment coverage for MDD and identifies critical bottlenecks.

Seventeen surveys were conducted across 15 countries by the World Health Organization-World Mental Health Surveys Initiative. Of 35 012 respondents, 3341 met DSM-IV criteria for 12-month MDD. The following components of effective treatment coverage were analyzed: (a) any mental health service utilization; (b) adequate pharmacotherapy; (c) adequate psychotherapy; and (d) adequate severity-specific combination of both.

MDD prevalence was 4.8% (s.e., 0.2). A total of 41.8% (s.e., 1.1) received any mental health services, 23.2% (s.e., 1.5) of which was deemed effective. This 90% gap in effective treatment is due to lack of utilization (58%) and inadequate quality or adherence (32%). Critical bottlenecks are underutilization of psychotherapy (26 percentage-points reduction in coverage), underutilization of psychopharmacology (13-point reduction), inadequate physician monitoring (13-point reduction), and inadequate drug-type (10-point reduction). High-income countries double low-income countries in any mental health service utilization, adequate pharmacotherapy, adequate psychotherapy, and adequate combination of both. Severe cases are more likely than mild-moderate cases to receive either adequate pharmacotherapy or psychotherapy, but less likely to receive an adequate combination.

Decision-makers need to increase the utilization and quality of pharmacotherapy and psychotherapy. Innovations such as telehealth for training and supervision plus non-specialist or community resources to deliver pharmacotherapy and psychotherapy could address these bottlenecks.

Coercive treatment comprises a broad range of practices, ranging from implicit or explicit pressure to accept certain treatment to the use of forced practices such as involuntary admission, seclusion and restraint. Coercion is common in mental health services.

To evaluate the strength and credibility of evidence on the efficacy of interventions to reduce coercive treatment in mental health services. Protocol registration: https://doi.org/10.17605/OSF.IO/S76T3.

Systematic literature searches were conducted in MEDLINE, Cochrane Central, PsycINFO, CINAHL, Campbell Collaboration, and Epistemonikos from January 2010 to January 2020 for meta-analyses of randomised studies. Summary effects were recalculated using a common metric and random-effects models. We assessed between-study heterogeneity, predictive intervals, publication bias, small-study effects and whether the results of the observed positive studies were more than expected by chance. On the basis of these calculations, strength of associations was classified using quantitative umbrella review criteria, and credibility of evidence was assessed using the GRADE approach.

A total of 23 primary studies (19 conducted in European countries and 4 in the USA) enrolling 8554 participants were included. The evidence on the efficacy of staff training to reduce use of restraint was supported by the most robust evidence (relative risk RR = 0.74, 95% CI 0.62–0.87; suggestive association, GRADE: moderate), followed by evidence on the efficacy of shared decision-making interventions to reduce involuntary admissions of adults with severe mental illness (RR = 0.75, 95% CI 0.60–0.92; weak association, GRADE: moderate) and by the evidence on integrated care interventions (RR = 0.66, 95% CI 0.46–0.95; weak association, GRADE: low). By contrast, community treatment orders and adherence therapy had no effect on involuntary admission rates.

Different levels of evidence indicate the benefit of staff training, shared decision-making interventions and integrated care interventions to reduce coercive treatment in mental health services. These different levels of evidence should be considered in the development of policy, clinical and implementation initiatives to reduce coercive practices in mental healthcare, and should lead to further studies in both high- and low-income countries to improve the strength and credibility of the evidence base.

There is a substantial proportion of patients who drop out of treatment before they receive minimally adequate care. They tend to have worse health outcomes than those who complete treatment. Our main goal is to describe the frequency and determinants of dropout from treatment for mental disorders in low-, middle-, and high-income countries.

Respondents from 13 low- or middle-income countries (N = 60 224) and 15 in high-income countries (N = 77 303) were screened for mental and substance use disorders. Cross-tabulations were used to examine the distribution of treatment and dropout rates for those who screened positive. The timing of dropout was examined using Kaplan–Meier curves. Predictors of dropout were examined with survival analysis using a logistic link function.

Dropout rates are high, both in high-income (30%) and low/middle-income (45%) countries. Dropout mostly occurs during the first two visits. It is higher in general medical rather than in specialist settings (nearly 60% v. 20% in lower income settings). It is also higher for mild and moderate than for severe presentations. The lack of financial protection for mental health services is associated with overall increased dropout from care.

Extending financial protection and coverage for mental disorders may reduce dropout. Efficiency can be improved by managing the milder clinical presentations at the entry point to the mental health system, providing adequate training, support and specialist supervision for non-specialists, and streamlining referral to psychiatrists for more severe cases.

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.

Successful scale-up of integrated primary mental healthcare requires routine monitoring of key programme performance indicators. A consensus set of mental health indicators has been proposed but evidence on their use in routine settings is lacking.

To assess the acceptability, feasibility, perceived costs and sustainability of implementing indicators relating to integrated mental health service coverage in six South Asian (India, Nepal) and sub-Saharan African countries (Ethiopia, Nigeria, South Africa, Uganda).

A qualitative study using semi-structured key informant interviews (n = 128) was conducted. The ‘Performance of Routine Information Systems’ framework served as the basis for a coding framework covering three main categories related to the performance of new tools introduced to collect data on mental health indicators: (1) technical; (2) organisation; and (3) behavioural determinants.

Most mental health indicators were deemed relevant and potentially useful for improving care, and therefore acceptable to end users. Exceptions were indicators on functionality, cost and severity. The simplicity of the data-capturing formats contributed to the feasibility of using forms to generate data on mental health indicators. Health workers reported increasing confidence in their capacity to record the mental health data and minimal additional cost to initiate mental health reporting. However, overstretched primary care staff and the time-consuming reporting process affected perceived sustainability.

Use of the newly developed, contextually appropriate mental health indicators in health facilities providing primary care services was seen largely to be feasible in the six Emerald countries, mainly because of the simplicity of the forms and continued support in the design and implementation stage. However, approaches to implementation of new forms generating data on mental health indicators need to be customised to the specific health system context of different countries. Further work is needed to identify ways to utilise mental health data to monitor and improve the quality of mental health services.

None.

Strengthening of mental health systems in low- and middle-income countries (LMICs) requires the involvement of appropriately skilled and committed individuals from a range of stakeholder groups. Currently, few evidence-based capacity-building activities and materials are available to enable and sustain comprehensive improvements.

Within the Emerald project, the goal of this study was to evaluate capacity-building activities for three target groups: (a) service users with mental health conditions and their caregivers; (b) policymakers and planners; and (c) mental health researchers.

We developed and tailored three short courses (between 1 and 5 days long). We then implemented and evaluated these short courses on 24 different occasions. We assessed satisfaction among 527 course participants as well as pre–post changes in knowledge in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa, Uganda). Changes in research capacity of partner Emerald institutions was also assessed through monitoring of academic outputs of participating researchers and students and via anonymous surveys.

Short courses were associated with high levels of satisfaction and led to improvements in knowledge across target groups. In relation to institutional capacity building, all partner institutions reported improvements in research capacity for most aspects of mental health system strengthening and global mental health, and many of these positive changes were attributed to the Emerald programme. In terms of outputs, eight PhD students submitted a total of 10 papers relating to their PhD work (range 0–4) and were involved in 14 grant applications, of which 43% (n = 6) were successful.

The Emerald project has shown that building capacity of key stakeholders in mental health system strengthening is possible. However, the starting point and appropriate strategies for this may vary across different countries, depending on the local context, needs and resources.

S.E.L. received consulting fees from Lundbeck.

Current coverage of mental healthcare in low- and middle-income countries is very limited, not only in terms of access to services but also in terms of financial protection of individuals in need of care and treatment.

To identify the challenges, opportunities and strategies for more equitable and sustainable mental health financing in six sub-Saharan African and South Asian countries, namely Ethiopia, India, Nepal, Nigeria, South Africa and Uganda.

In the context of a mental health systems research project (Emerald), a multi-methods approach was implemented consisting of three steps: a quantitative and narrative assessment of each country's disease burden profile, health system and macro-fiscal situation; in-depth interviews with expert stakeholders; and a policy analysis of sustainable financing options.

Key challenges identified for sustainable mental health financing include the low level of funding accorded to mental health services, widespread inequalities in access and poverty, although opportunities exist in the form of new political interest in mental health and ongoing reforms to national insurance schemes. Inclusion of mental health within planned or nascent national health insurance schemes was identified as a key strategy for moving towards more equitable and sustainable mental health financing in all six countries.

Including mental health in ongoing national health insurance reforms represent the most important strategic opportunity in the six participating countries to secure enhanced service provision and financial protection for individuals and households affected by mental disorders and psychosocial disabilities.

D.C. is a staff member of the World Health Organization.

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.

In most low- and middle-income countries (LMIC), routine mental health information is unavailable or unreliable, making monitoring of mental healthcare coverage difficult. This study aims to evaluate a new set of mental health indicators introduced in primary healthcare settings in five LMIC.

A survey was conducted among primary healthcare workers (n = 272) to assess the acceptability and feasibility of eight new indicators monitoring mental healthcare needs, utilisation, quality and payments. Also, primary health facility case records (n = 583) were reviewed by trained research assistants to assess the level of completion (yes/no) for each of the indicators and subsequently the level of correctness of completion (correct/incorrect – with incorrect defined as illogical, missing or illegible information) of the indicators used by health workers. Assessments were conducted within 1 month of the introduction of the indicators, as well as 6–9 months afterwards.

Across both time points and across all indicators, 78% of the measurements of indicators were complete. Among the best performing indicators (diagnosis, severity and treatment), this was significantly higher. With regards to correctness, 87% of all completed indicators were correctly completed. There was a trend towards improvement over time. Health workers' perceptions on feasibility and utility, across sites and over time, indicated a positive attitude in 81% of all measurements.

This study demonstrates high levels of performance and perceived utility for a set of indicators that could ultimately be used to monitor coverage of mental healthcare in primary healthcare settings in LMIC. We recommend that these indicators are incorporated into existing health information systems and adopted within the World Health Organization Mental Health Gap Action Programme implementation strategy.

None.

There is a global drive to improve access to mental healthcare by scaling up integrated mental health into primary healthcare (PHC) systems in low- and middle-income countries (LMICs).

To investigate systems-level implications of efforts to scale-up integrated mental healthcare into PHC in districts in six LMICs.

Semi-structured interviews were conducted with 121 managers and service providers. Transcribed interviews were analysed using framework analysis guided by the Consolidated Framework for Implementation Research and World Health Organization basic building blocks.

Ensuring that interventions are synergistic with existing health system features and strengthening of the healthcare system building blocks to support integrated chronic care and task-sharing were identified as aiding integration efforts. The latter includes (a) strengthening governance to include technical support for integration efforts as well as multisectoral collaborations; (b) ring-fencing mental health budgets at district level; (c) a critical mass of mental health specialists to support task-sharing; (d) including key mental health indicators in the health information system; (e) psychotropic medication included on free essential drug lists and (f) enabling collaborative and community- oriented PHC-service delivery platforms and continuous quality improvement to aid service delivery challenges in implementation.

Scaling up integrated mental healthcare in PHC in LMICs is more complex than training general healthcare providers. Leveraging existing health system processes that are synergistic with chronic care services and strengthening healthcare system building blocks to provide a more enabling context for integration are important.

None.

Little is known about the household economic costs associated with mental, neurological and substance use (MNS) disorders in low- and middle-income countries.

To assess the association between MNS disorders and household education, consumption, production, assets and financial coping strategies in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda.

We conducted an exploratory cross-sectional household survey in one district in each country, comparing the economic circumstances of households with an MNS disorder (alcohol-use disorder, depression, epilepsy or psychosis) (n = 2339) and control households (n = 1982).

Despite some heterogeneity between MNS disorder groups and countries, households with a member with an MNS disorder had generally lower levels of adult education; lower housing standards, total household income, effective income and non-health consumption; less asset-based wealth; higher healthcare expenditure; and greater use of deleterious financial coping strategies.

Households living with a member who has an MNS disorder constitute an economically vulnerable group who are susceptible to chronic poverty and intergenerational poverty transmission.

D.C. is a staff member of the World Health Organization. The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy or views of the World Health Organization.

Contextually appropriate interventions delivered by primary maternal care providers (PMCPs) might be effective in reducing the treatment gap for perinatal depression.

To compare high-intensity treatment (HIT) with low-intensity treatment (LIT) for perinatal depression.

Cluster randomised clinical trial, conducted in Ibadan, Nigeria between 18 June 2013 and 11 December 2015 in 29 maternal care clinics allocated by computed-generated random sequence (15 HIT; 14 LIT). Interventions were delivered individually to antenatal women with DSM-IV (1994) major depression by trained PMCPs. LIT consisted of the basic psychosocial treatment specifications in the World Health Organization Mental Health Gap Action Programme – Intervention Guide. HIT comprised LIT plus eight weekly problem-solving therapy sessions with possible additional sessions determined by scores on the Edinburgh Postnatal Depression Scale (EPDS). The primary outcome was remission of depression at 6 months postpartum (EPDS < 6).

There were 686 participants; 452 and 234 in HIT and LIT arms, respectively, with both groups similar at baseline. Follow-up assessments, completed on 85%, showed remission rates of 70% with HIT and 66% with LIT: risk difference 4% (95% CI −4.1%, 12.0%), adjusted odds ratio 1.12 (95% CI 0.73, 1.72). HIT was more effective for severe depression (odds ratio 2.29; 95% CI 1.01, 5.20; P = 0.047) and resulted in a higher rate of exclusive breastfeeding. Infant outcomes, cost-effectiveness and adverse events were similar.

Except among severely depressed perinatal women, we found no strong evidence to recommend high-intensity in preference to low-intensity psychological intervention in routine primary maternal care.

None.

Previous work has identified associations between psychotic experiences (PEs) and general medical conditions (GMCs), but their temporal direction remains unclear as does the extent to which they are independent of comorbid mental disorders.

In total, 28 002 adults in 16 countries from the WHO World Mental Health (WMH) Surveys were assessed for PEs, GMCs and 21 Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorders. Discrete-time survival analyses were used to estimate the associations between PEs and GMCs with various adjustments.

After adjustment for comorbid mental disorders, temporally prior PEs were significantly associated with subsequent onset of 8/12 GMCs (arthritis, back or neck pain, frequent or severe headache, other chronic pain, heart disease, high blood pressure, diabetes and peptic ulcer) with odds ratios (ORs) ranging from 1.3 [95% confidence interval (CI) 1.1–1.5] to 1.9 (95% CI 1.4–2.4). In contrast, only three GMCs (frequent or severe headache, other chronic pain and asthma) were significantly associated with subsequent onset of PEs after adjustment for comorbid GMCs and mental disorders, with ORs ranging from 1.5 (95% CI 1.2–1.9) to 1.7 (95% CI 1.2–2.4).

PEs were associated with the subsequent onset of a wide range of GMCs, independent of comorbid mental disorders. There were also associations between some medical conditions (particularly those involving chronic pain) and subsequent PEs. Although these findings will need to be confirmed in prospective studies, clinicians should be aware that psychotic symptoms may be risk markers for a wide range of adverse health outcomes. Whether PEs are causal risk factors will require further research.