Clinicians need guidance to address the heterogeneity of treatment responses of patients with major depressive disorder (MDD). While prediction schemes based on symptom clustering and biomarkers have so far not yielded results of sufficient strength to inform clinical decision-making, prediction schemes based on big data predictive analytic models might be more practically useful.

We review evidence suggesting that prediction equations based on symptoms and other easily-assessed clinical features found in previous research to predict MDD treatment outcomes might provide a foundation for developing predictive analytic clinical decision support models that could help clinicians select optimal (personalised) MDD treatments. These methods could also be useful in targeting patient subsamples for more expensive biomarker assessments.

Approximately two dozen baseline variables obtained from medical records or patient reports have been found repeatedly in MDD treatment trials to predict overall treatment outcomes (i.e., intervention v. control) or differential treatment outcomes (i.e., intervention A v. intervention B). Similar evidence has been found in observational studies of MDD persistence-severity. However, no treatment studies have yet attempted to develop treatment outcome equations using the full set of these predictors. Promising preliminary empirical results coupled with recent developments in statistical methodology suggest that models could be developed to provide useful clinical decision support in personalised treatment selection. These tools could also provide a strong foundation to increase statistical power in focused studies of biomarkers and MDD heterogeneity of treatment response in subsequent controlled trials.

Coordinated efforts are needed to develop a protocol for systematically collecting information about established predictors of heterogeneity of MDD treatment response in large observational treatment studies, applying and refining these models in subsequent pragmatic trials, carrying out pooled secondary analyses to extract the maximum amount of information from these coordinated studies, and using this information to focus future discovery efforts in the segment of the patient population in which continued uncertainty about treatment response exists.

In low-income countries, care for people with severe mental disorders (SMDs) who manage to access treatment is usually emergency-based, intermittent or narrowly biomedical. The aim of this study was to inform development of a scalable district-level mental health care plan to meet the long-term care needs of people with SMD in rural Ethiopia.

The present study was carried out as formative work for the Programme for Improving Mental health CarE which seeks to develop, implement and evaluate a district level model of integrating mental health care into primary care. Six focus group discussions and 25 in-depth interviews were conducted with service planners, primary care providers, traditional and religious healers, mental health service users, caregivers and community representatives. Framework analysis was used, with findings mapped onto the domains of the Innovative Care for Chronic Conditions (ICCC) framework.

Three main themes were identified. (1) Focused on ‘Restoring the person's life’, including the need for interventions to address basic needs for food, shelter and livelihoods, as well as spiritual recovery and reintegration into society. All respondents considered this to be important, but service users gave particular emphasis to this aspect of care. (2) Engaging with families, addressed the essential role of families, their need for practical and emotional support, and the importance of equipping families to provide a therapeutic environment. (3) Delivering collaborative, long-term care, focused on enhancing accessibility to biomedical mental health care, utilising community-based health workers and volunteers as an untapped resource to support adherence and engagement with services, learning from experience of service models for chronic communicable diseases (HIV and tuberculosis) and integrating the role of traditional and religious healers alongside biomedical care. Biomedical approaches were more strongly endorsed by health workers, with traditional healers, religious leaders and service users more inclined to see medication as but one component of care. The salience of poverty to service planning was cross-cutting.

Stakeholders prioritised interventions to meet basic needs for survival and endorsed a multi-faceted approach to promoting recovery from SMD, including social recovery. However, sole reliance on this over-stretched community to mobilise the necessary resources may not be feasible. An adapted form of the ICCC framework appeared highly applicable to planning an acceptable, feasible and sustainable model of care.

Whether the public stigma associated with mental illness negatively affects an individual, largely depends on whether the person has been labelled ‘mentally ill’. For labelled individuals concealing mental illness is a common strategy to cope with mental illness stigma, despite secrecy's potential negative consequences. In addition, initial evidence points to a link between stigma and suicidality, but quantitative data from community samples are lacking.

Based on previous literature about mental illness stigma and suicidality, as well as about the potential influence of labelling processes and secrecy, a theory-driven model linking perceived mental illness stigma and suicidal ideation by a mediation of secrecy and hopelessness was established. This model was tested separately among labelled and unlabelled persons using data derived from a Swiss cross-sectional population-based study. A large community sample of people with elevated psychiatric symptoms was examined by interviews and self-report, collecting information on perceived stigma, secrecy, hopelessness and suicidal ideation. Participants who had ever used mental health services were considered as labelled ‘mentally ill’. A descriptive analysis, stratified logistic regression models and a path analysis testing a three-path mediation effect were conducted.

While no significant differences between labelled and unlabelled participants were observed regarding perceived stigma and secrecy, labelled individuals reported significantly higher frequencies of suicidal ideation and feelings of hopelessness. More perceived stigma was associated with suicidal ideation among labelled, but not among unlabelled individuals. In the path analysis, this link was mediated by increased secrecy and hopelessness.

Results from this study indicate that among persons labelled ‘mentally ill’, mental illness stigma is a contributor to suicidal ideation. One explanation for this association is the relation perceived stigma has with secrecy, which introduces negative emotional consequences. If our findings are replicated, they would suggest that programmes empowering people in treatment for mental illness to cope with anticipated and experienced discrimination as well as interventions to reduce public stigma within society could improve suicide prevention.

Previous cross-sectional studies revealed inconsistent results regarding mental health treatment preferences among the general population. In particular, it is unclear to what extent specific age groups approve psychotherapy or psychotropic medication for the treatment of mental disorders. We explore whether treatment recommendations of either psychotherapy or psychiatric medication change over the lifespan which includes age-related effects due to increasing age of a person, cohort effects that reflect specific opinions during the time a person was born and period effects that reflect societal changes.

Using data from three identical population surveys in Germany from 1990, 2001 and 2011 (combined n = 9046), we performed age-period-cohort analyses to determine the pure age, birth cohort and time period effects associated with the specific treatment recommendations for a person with either depression or schizophrenia, using logistic Partial Least-Squares regression models.

For both disorders, approval of both psychotherapy and medication for a person with mental illness increases with age. At the same time, younger cohorts showed stronger recommendations particularly for psychotherapy (OR around 1.07 per decade). The strongest effects could be observed for time period with an increase in recommendation between 1990 and 2001 with odds ratio of 2.36 in depression and 2.97 in schizophrenia, respectively. In general, the treatment option that showed the strongest increase in recommendation was medication for schizophrenia and psychotherapy for depression.

Underutilisation of psychotherapy in old age seems not to reflect treatment preferences of older persons. Thus, special treatment approaches need to be offered for this group that seems to be willing for psychotherapy but do not yet use it. Cohort patterns suggest that approval of psychotherapy among older persons will likely further increase in the coming years as these people get older. Finally, strong period effects underpin the importance of changing attitudes in the society. These could reflect reporting changes about psychiatric topics in the media or a general increase in the perception of treatment options. Nevertheless, more treatment offers especially for older people are needed.

The aim of this study was to compare the prevalence of depressive symptoms in Australian and Japanese populations of community-dwelling older women using the Geriatric Depression Scale (GDS-15). In addition, the relationship between lifestyle and health factors and higher ratings of depressive symptoms was also examined to determine if there were culturally consistent risk factors associated with higher depressive symptom scores.

A total of 444 community based women aged between 65 and 77 years completed a depressive symptom measure (GDS-15) and provided information on common lifestyle factors. The Australian sample (n = 222) were drawn from the Women's Healthy Ageing Project and the age-matched, Japanese sample from the Kumamoto Ageing Study of Mental Health (n = 222). The GDS was chosen to; (1) reduce the impact of physical symptoms associated with old age and, (2) reduce the inflation in scores that may result from the Japanese tendency to endorse somatic items more often than Western adults.

Mean GDS total scores were significantly higher for the Japanese population 3.97 ± 3.69 compared with 1.73 ± 2.7 for Australian women. The percentages of women scoring in the normal; mild and moderate ranges for depression were 91, 7 and 2% for Australia and 67, 24 and 9% for Japan. Scores remained significantly higher for the Japanese cohort when controlling for lifestyle and health factors associated with depression. The analysis of lifestyle and health characteristics showed that the greatest difference between cohorts was in the area of living status, with more Australian women living with their partner and more than three times as many Japanese women living with their children. When the data for the countries was considered independently employment status affected the likelihood of higher depression scores in the Australian sample while heart disease and poor sleep impacted the risk for the Japanese population.

Significantly more Japanese women scored within the mild and moderate ranges on the GDS compared with their Australian peers, even when controlling for possible confounding factors. Of the lifestyle and health factors assessed in this analysis no single variable was a common risk factor for higher depressive scores for both countries. The presence of cultural influences that may impact the risk of experiencing depressive symptoms, and culture specific patterns of item endorsement on depressive symptom measures, needs to be explored in more detail.

To identify distinct trajectories of depression experienced by a population-based sample of women over a 27-year period and to assess the validity of the derived trajectories.

The Mater University of Queensland Study of Pregnancy is a birth cohort study which commenced in 1981. Women (N = 6753) were interviewed at their first clinic visit, at 6 months, then 5, 14, 21 and 27 years after the birth of their child, using the Delusions Symptoms – States Inventory. Some 3561 (52.7%) women were followed up at 27 years, with 3337 (49.4%) of the sample completing the Composite International Diagnostic Interview (CIDI). Depression trajectories over a 27-year period were identified using Latent Class Growth Modelling (LCGM). LCGM was used to identify respondents with similar patterns of depression over a 27-year period. At the 27-year follow-up women who completed the CIDI, were stratified according to their trajectory group membership.

Three trajectory groups, each with different life-course patterns of depression were identified. The low/no symptoms of depression trajectory group comprised 48.4% of women. The mid-depression group (41.7%) had a consistent pattern of occasional symptoms of depression. The high/escalating trajectory group comprised 9.9% of the women in the study. We then examined each trajectory group based on their completion of the CIDI at the 27-year follow-up. Using the CIDI, 27.0% of women in the study had met the DSM-IV criteria for lifetime ever depression by their mean age of 46.5 years. The responses to the CIDI differed greatly for each of the trajectory groups, suggesting that the trajectories validly reflect different life histories of depression. The high/escalating trajectory group had an earlier age of first onset, more frequent episodes, longer duration of each episode of depression and experienced higher levels of impairment for their episodes of depression. For the high symptoms trajectory group, clinically significant depression is estimated to be experienced by women almost one in every 6 days of their life.

While symptoms of depression are commonly experienced in a large community-based sample of women, a minority of women experience many episodes of depression in their lifetime. It is this group of women who are most impaired and should be of most concern, and who should be the main target of prevention and treatment initiatives.

Important transformations in psychiatric healthcare (HC) delivery have been implemented in Latin America during the beginning of 21st century. However, information on current service uses patterns is scant, obstructing the estimates and proper planning of service needs for general population. The current investigation aims to describe patterns and estimates predictors of 12-month HC use by individuals with mental disorders in São Paulo metropolitan area, Brazil.

Data are from São Paulo Mental Health Survey, a cross-sectional multistage representative study. Participants were face-to-face interviewed in their household, using a structured diagnostic interview, the World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. A total of 5037 respondents, non-institutionalised, aged 18 years and older were interviewed. The response rate was 81.3%. We determined the percentages of individuals with 12-month DSM-IV anxiety, mood and substance disorders that received treatment in the 12 months prior to assessment in main service sectors (specialty mental health, general medicine, human services (HS), and complementary and alternative medicine). The number of visits and percentage of individuals who received treatment at minimally adequacy also was estimated. Multilevel regression controlled contextual variables that influenced the use of service and treatment adequacy.

Only 10.1% of respondents used some HC service in the 12 months prior to assessment for their psychiatric problems, including 3.9% of them being treated either by a psychiatrist, 3.5% by a non-psychiatrist mental health specialist, 3.3% by a general medical (GM) provider, 1.5% by a HS provider and 1.4% by a complementary and alternative medical provider. In general, those participants who received service in the mental health specialty sector reported more visits than those in the GM sector (median 3.9 v. 1.5 visits). The cases seen in specialty sector outnumber those visiting GM treatment in terms of minimally adequate treatment (54.6 v. 23.2%). The likelihood of receiving treatment was significantly greater among individuals diagnosed with any anxiety and mood disorder, presenting more severe disorders, and with possession of HC insurance.

The great majority of individuals with an active mental disorder in São Paulo were either untreated or insufficiently treated. Awareness and training programmes to GM professionals are advocated to improve recognition, care take and referral to specialty care when needed. Proper integration among HC sectors is recommended.