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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.
This article presents the long-term results in terms of antipsychotic medication maintenance and factors influencing it in a representative sample of patients with schizophrenia recruited in the SOHO study within Spain.
The SOHO was a prospective, 3-year observational study of the outcomes of schizophrenia treatment in outpatients who initiated therapy or changed to a new antipsychotic performed in 10 European countries with a focus on olanzapine. The Kaplan–Meier method was used to analyse the time to treatment discontinuation and the Cox proportional hazards model to investigate correlates of discontinuation.
Results and conclusions
In total, 1688 patients were included in the analyses. Medication maintenance at 3 years varied with the antipsychotic prescribed, being highest with clozapine (57.6%, 95% CI 39.2–74.5), followed by olanzapine (48.3%, 95% CI 45.1–51.5); and lowest with quetiapine (19.0%, 95% CI 13.0–26.3). Treatment discontinuation was significantly less frequent with olanzapine than with risperidone (p = 0.015), depot typical (p = 0.001), oral typical antipsychotics (p < 0.001) or quetiapine (p < 0.001); but not than with clozapine (p = 0.309). Longer maintenance was also associated with higher social abilities and better cognitive status at baseline; in contrast, a shorter time to discontinuation was associated with the need for mood stabilisers during follow-up. This study emphasises the different value of antipsychotics in day-to-day clinical practice, as some of them were associated with longer medication maintenance periods than others. This study has some limitations because of possible selection and information biases derived from the non-systematic, non-randomised allocation to treatments and the existence of unobserved covariates that may influence the outcome.
We build a model that, according to the empirical evidence, gives rise to oscillations in wealth within a dynasty while keeping intergenerational persistence in education attainment. We propose a mechanism based on the interaction between wealth and effort as suggested by the Carnegie conjecture, according to which wealthier individuals devote less effort in their job occupations than poorer. Oscillations in wealth arise from changes in the occupation chosen by different generations of the same dynasty as a response to both inherited wealth and college premium. Our mechanism generates a rich social stratification with several classes in the long run due to the combination of different levels of education and occupation types. Furthermore, we generate a large mobility in wealth among classes even in the long run. Our model highlights the role played by the minimum cost on education investment, the borrowing constraints, and the complementarity between education and occupational effort.
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.
One important aspect of the societal burden of mental disorders is the extent to which these problems cause disability.
To assess days out of role associated with commonly occurring mental disorders in comparison with physical disorders in Portugal.
National cross-sectional survey, with home interviews carried out with 3849 adult (aged 18+) respondents (57.3% response rate).
Twelve-month prevalence for any mental disorder was 21.8%, any physical disorder 55.1% and any disorder 63.1%, with an average of 2.3 disorders per respondent with a disorder. Close to one out of every 10 respondents (9.2%) reported at least one day totally out of role in the past month (median of 6.4 days/any). The 18 conditions accounted for 78.2% of all days out of role, with 20.2% because of mental disorders and 59.2% because of physical disorders.
Mental disorders account for a substantial proportion of all role disability in the Portuguese population. Early detection and intervention would have a positive societal effect. Owing to highly frequent comorbidity, simultaneous management of mental and physical disorder comorbidities is advised for greater effect.
The patterns of comorbidity among mental disorders have led researchers to model the underlying structure of psychopathology. While studies have suggested a structure including internalizing and externalizing disorders, less is known with regard to the cross-national stability of this model. Moreover, little data are available on the placement of eating disorders, bipolar disorder and psychotic experiences (PEs) in this structure.
We evaluated the structure of mental disorders with data from the World Health Organization Composite International Diagnostic Interview, including 15 lifetime mental disorders and six PEs. Respondents (n = 5478–15 499) were included from 10 high-, middle- and lower middle-income countries across the world aged 18 years or older. Confirmatory factor analyses (CFAs) were used to evaluate and compare the fit of different factor structures to the lifetime disorder data. Measurement invariance was evaluated with multigroup CFA (MG-CFA).
A second-order model with internalizing and externalizing factors and fear and distress subfactors best described the structure of common mental disorders. MG-CFA showed that this model was stable across countries. Of the uncommon disorders, bipolar disorder and eating disorder were best grouped with the internalizing factor, and PEs with a separate factor.
These results indicate that cross-national patterns of lifetime common mental-disorder comorbidity can be explained with a second-order underlying structure that is stable across countries and can be extended to also cover less common mental disorders.
Traumatic events are associated with increased risk of psychotic experiences, but it is unclear whether this association is explained by mental disorders prior to psychotic experience onset.
To investigate the associations between traumatic events and subsequent psychotic experience onset after adjusting for post-traumatic stress disorder and other mental disorders.
We assessed 29 traumatic event types and psychotic experiences from the World Mental Health surveys and examined the associations of traumatic events with subsequent psychotic experience onset with and without adjustments for mental disorders.
Respondents with any traumatic events had three times the odds of other respondents of subsequently developing psychotic experiences (OR=3.1, 95% CI 2.7–3.7), with variability in strength of association across traumatic event types. These associations persisted after adjustment for mental disorders.
Exposure to traumatic events predicts subsequent onset of psychotic experiences even after adjusting for comorbid mental disorders.
Although childhood adversities are known to predict increased risk of post-traumatic stress disorder (PTSD) after traumatic experiences, it is unclear whether this association varies by childhood adversity or traumatic experience types or by age.
To examine variation in associations of childhood adversities with PTSD according to childhood adversity types, traumatic experience types and life-course stage.
Epidemiological data were analysed from the World Mental Health Surveys (n = 27017).
Four childhood adversities (physical and sexual abuse, neglect, parent psychopathology) were associated with similarly increased odds of PTSD following traumatic experiences (odds ratio (OR)=1.8), whereas the other eight childhood adversities assessed did not predict PTSD. Childhood adversity–PTSD associations did not vary across traumatic experience types, but were stronger in childhood-adolescence and early-middle adulthood than later adulthood.
Childhood adversities are differentially associated with PTSD, with the strongest associations in childhood-adolescence and early-middle adulthood. Consistency of associations across traumatic experience types suggests that childhood adversities are associated with generalised vulnerability to PTSD following traumatic experiences.
Major depressive disorder (MDD) is a leading cause of disability worldwide.
To examine the: (a) 12-month prevalence of DSM-IV MDD; (b) proportion aware that they have a problem needing treatment and who want care; (c) proportion of the latter receiving treatment; and (d) proportion of such treatment meeting minimal standards.
Representative community household surveys from 21 countries as part of the World Health Organization World Mental Health Surveys.
Of 51 547 respondents, 4.6% met 12-month criteria for DSM-IV MDD and of these 56.7% reported needing treatment. Among those who recognised their need for treatment, most (71.1%) made at least one visit to a service provider. Among those who received treatment, only 41.0% received treatment that met minimal standards. This resulted in only 16.5% of all individuals with 12-month MDD receiving minimally adequate treatment.
Only a minority of participants with MDD received minimally adequate treatment: 1 in 5 people in high-income and 1 in 27 in low-/lower-middle-income countries. Scaling up care for MDD requires fundamental transformations in community education and outreach, supply of treatment and quality of services.
The aim of this study was to analyze inequalities in the prevalence of poor mental health and their association with socioeconomic variables and with the care network in the Autonomous Communities in Spain. A cross-sectional multilevel study was performed, which analyzed individual data from the National Health Survey in Spain (ENS), in 2006 (n = 29,476 people over the age of 16). The prevalence of poor mental health was the dependent variable, measured by the General Health Questionnaire (GHQ-12 > = 3). Individual and contextual socioeconomic variables, along with mental health services in the Autonomous Communities, were included as independent variables. Models of multilevel logistic regression were used, and odds ratios (OR) were obtained, with confidence intervals (CI) of 95%. The results showed that there are inequalities in the prevalence of poor mental health in Spain, associated to contextual variables, such as unemployment rate (men OR 1.04 CI 1.01–1.07; women OR 1.02 CI 1.00–1.05). On the other hand, it was observed that inequalities in the mental health care resources in the Autonomous Communities also have an impact on poor mental health.