Testing the PROMIS® Depression measures for monitoring depression in a clinical sample outside the US

The Patient Reported Outcomes Measurement Information System (PROMIS) was devised to facilitate assessment of patient self-reported health status, taking advantage of Item Response Theory. We aimed to assess measurement properties of the PROMIS Depression item bank and an 8-item static short form in a Spanish clinical sample. A three-month follow-up study of patients with active mood/anxiety symptoms (n = 218) was carried out. We assessed model unidimensionality (Confirmatory Item Factor Analysis), reliability (internal consistency and Item Information Curves), and validity (convergent-discriminant with correlations; known-groups with comparison of means and effect sizes; and criterion validity with Receiver operating Characteristics (ROC) analysis). We also assessed 3-month responsiveness to change (Cohen's effect sizes (d) in stable and recovered patients). The unidimensional model showed adequate fit (CFI = 0.97, RMSEA = 0.08). Information Curves had reliabilities over 0.90 throughout most of the score continuum. As expected, we observed high correlations with external self-reported depression, and moderate with self-reported anxiety and clinical measures. The item bank showed an increasing severity gradient from no disorder (mean = 48, SE = 0.6) to depression with comorbid anxiety (mean = 55.8, SE = 0.4). PROMIS detected depression disorder with great accuracy according to the area under the curve (AUC = 0.89). Both formats, item bank and short form, were highly responsive to change in recovered patients (d > 0.7) and had small changes in stable patients (d < 0.2). The good metric properties of the Spanish PROMIS Depression measures provide further evidence of their adequacy for monitoring depression levels of patients in clinical settings. This double check of quality (within countries and populations) supports the ability of PROMIS measures for guaranteeing fair comparisons across languages and countries in specific clinical populations.

DETECTION OF ANXIETY DISORDERS IN PRIMARY CARE: A META-ANALYSIS OF ASSISTED AND UNASSISTED DIAGNOSES

BACKGROUND

Evidence suggests that general practitioners (GPs) fail to diagnose up to half of common mental disorder cases. Yet no previous research has systematically summarized the evidence in the case of anxiety disorders. The aim of this review was to systematically assess and meta-analyze the diagnostic accuracy of GPs' assisted (i.e., using severity scales/diagnostic instruments) and unassisted (without such tools) diagnoses of anxiety disorders.

METHODS

Systematic review (PROSPERO registry CRD42013006736) was conducted. Embase, Ovid Journals--Ovid SP Medline, Pubmed, PsycINFO, Scopus, Web of Science, and Science Direct were searched from January 1980 through June 2014. Seven investigators, working in pairs, evaluated studies for eligibility. The quality of included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies tool version 2 (QUADAS-2). The main outcome measures were sensitivity and specificity of clinical diagnoses of any anxiety disorder. We pooled sensitivity and specificity levels from included studies using bivariate meta-analyses.

RESULTS

Twenty-four studies were included in the meta-analysis with a total sample of 34,902 patients. Pooled sensitivity and specificity were estimated at 44.5% (95% CI 33.7-55.9%) and 90.8% (95% CI 87-93.5%). GPs' sensitivity was higher when diagnoses were assisted (63.6%, 95% CI 50.3-75.1%) than when unassisted (30.5%, 95% CI 20.7-42.5%) to the expense of some specificity loss (87.9%, 95% CI 81.3-92.4% vs. 91.4%, 95% CI 86.6-94.6%, respectively). Identification rates remained constant over time (P-value = .998).

CONCLUSIONS

The use of diagnostic tools might improve detection of anxiety disorders in "primary care."

Gender differences in psychotropic use across Europe: Results from a large cross-sectional, population-based study

BACKGROUND

In many epidemiological studies, women have been observed to consume psychotropic medication more often than men. However, the consistency of this relationship across Europe, with differences in mental health care (MHC) resources and reimbursement policies, is unknown.

METHODS

Questions on 12-month psychotropic use (antidepressants, benzodiazepines, antipsychotics, mood stabilizers) were asked to 34,204 respondents from 10 European countries of the EU-World Mental Health surveys. Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) criteria were used to determine 12-month prevalence of mood/anxiety disorders using the Composite International Diagnostic Interview (v3.0).

RESULTS

For all participating countries, women were significantly more likely than men to use psychotropic medication within the previous 12 months (overall-OR=2.04, 95% CI: 1.81-2.31). This relationship remained significant after adjusting for common sociodemographic factors (age, income level, employment status, education, marital status) and country-level indicators (MHC provision, private household out-of-pocket expenditure, and Gender Gap Index). In multivariable gender-stratified risk-factor analysis, both women and men were more likely to have taken psychotropic medication with increasing age, decreasing income level, and mental health care use within the past 12 months, with no significant differences between genders. When only including participants with a mental disorder, gender differences overall were still significant with any 12-month mood disorder but not with any 12-month anxiety disorder, remaining so after adjusting for sociodemographic characteristics and country-level indicators.

CONCLUSIONS

Women use psychotropic medication consistently more often than men, yet reasons for their use are similar between genders. These differences also appear to be contingent on the specific mental disorder.

Suicidality and its relationship with depression, alcohol disorders and childhood experiences of violence: results from the ESEMeD study

BACKGROUND

Suicidality constitutes a major health concern in many countries. The aim of the present paper was to analyse 10 of its risk factors and their interdependence.

METHODS

Data on suicidality, mental disorders and experience of childhood violence was collected from 8796 respondents in the European Study of the Epidemiology of Mental Disorders (ESEMeD). The CIDI was used to assess mental disorders. Individuals were randomly divided into two subgroups. In one, a Graphical Markov model to predict suicidality was constructed, in the second, predictors were cross-validated.

RESULTS

Lifetime suicidality was predicted mainly by lifetime depression and early experiences of violence, with a pseudo R-square of 12.8%. In addition, alcohol disorders predicted suicidality, but played a minor role compared with the other risk factors in this sample.

CONCLUSION

In addition to depression, early experience of violence constitutes an important risk factor of suicidality.

LIMITATIONS

This is a cross-sectional and retrospective study assessing risk factors for suicidality, not for suicide itself.

Gender differences in mental disorders and suicidality in Europe: results from a large cross-sectional population-based study

INTRODUCTION

When evaluating gender differences in mental disorders and suicidality, specifically between European countries, studies are sparse and frequently hindered by methodological issues, such as the limited items evaluated and inconsistent sampling designs.

METHODS

In ten European countries participating in the World Mental Health Survey Initiative, lifetime internalizing and externalizing disorders and suicidality were assessed among 37,289 respondents. Disorders were classified using DMS-IV criteria. Odds ratios (OR) for gender differences were calculated using logistic regression, while trends across age-groups were tested via gender × age interaction.

RESULTS

Within countries, prevalence of any lifetime internalizing disorder ranged from 10.8% to 44.5% among women and 5.9% to 26.5% among men, with women having consistently higher odds than men (OR range: 1.52-2.73). Prevalence of any lifetime externalizing disorders ranged from 0.2% to 6.6% among women and 2.2% to 22.4% among men, with women having consistently lower odds than men (OR range: 0.05-0.35). Any lifetime suicide attempt was found in 0.8-5.4% of women and 0.3-2.4% of men, showing inconsistent relative gender-differences across countries (OR range: 0.77-4.72). Significant effects in gender OR across age-groups were not observed for any internalizing disorder or suicide attempt, yet were present for any externalizing disorder in France (p = 0.01), the Netherlands (p = 0.05), and Spain (p = 0.02).

LIMITATIONS

Mental disorders were assessed with the CIDI 3.0 and not psychiatric evaluations. Suicidality does not fully represent more important clinical events, such as suicide mortality.

CONCLUSIONS

Consistent across European countries, internalizing disorders are more common among women and externalizing disorders among men, whereas gender differences in suicidality varied.

Partial likelihood estimation of IRT models with censored lifetime data: an application to mental disorders in the ESEMeD surveys

Developmental studies of mental disorders based on epidemiological data are often based on cross-sectional retrospective surveys. Under such designs, observations are right-censored, causing underestimation of lifetime prevalences and correlations, and inducing bias in latent trait models on the observations. In this paper we propose a Partial Likelihood (PL) method to estimate unbiased IRT models of lifetime predisposition to develop a certain outcome. A two-step estimation procedure corrects the IRT likelihood of outcome appearance with a function depending on (a) projected outcome frequencies at the end of the risk period, and (b) outcome censoring status at the time of the observation. Simulation results showed that the PL method yielded good recovery of true frequencies and intercepts. Slopes were best estimated when events were sufficiently correlated. When PL is applied to lifetime mental health disorders (assessed in the ESEMeD project surveys), estimated univariate prevalences were, on average, 1.4 times above raw estimates, and 2.06 higher in the case of bivariate prevalences.

Are there gender differences in service use for mental disorders across countries in the European Union? Results from the EU-World Mental Health survey

BACKGROUND

Women are more likely than men to use mental healthcare (MHC) due to differences in the types of problems and help-seeking behaviours. The consistency of this relationship across European countries, whose MHC organisation differs substantially, is unknown.

METHODS

Lifetime MHC-use and the type of MHC provider were assessed in 37 289 participants from the EU-World Mental Health (EU-WMH) survey, including 10 European countries (Northern Ireland, The Netherlands, Belgium, Germany, France, Spain, Italy, Portugal, Bulgaria and Romania). Lifetime mood/anxiety disorders (DSM-IV) and severity were evaluated using the CIDI V.3.0.

RESULTS

MHC use was significantly higher for women than men in every country except for Romania (overall OR=1.80, 95% CI1.64 to 1.98), while remaining so after adjusting for socioeconomic characteristics (age, income level, employment status, education, marital status; adjusted OR=1.87, 95% CI 1.69 to 2.06) and country-level indicators (MHC provision, private household out-of-pocket expenditure, and Gender Gap Index; adjusted OR=1.89, 95% CI 1.71 to 2.08). Compared with men, women were also more likely to consult general practitioners (GP) versus specialised MHC (OR=1.32, 95% CI 1.12 to 1.56) with high between-country variability. In participants with mood disorder, the gender relationship in MHC use and type of MHC did not change. Conversely, in participants with anxiety disorder, no significant gender relationship in MHC use was observed (adjusted OR=1.21, 95% CI 0.99 to 1.47). Finally, men with severe mental health problems had a significantly higher odds of MHC use (OR=14.70) when compared with women with similar levels (OR=8.95, p for interaction=0.03) after adjusting for socioeconomic characteristics and country-level indicators.

CONCLUSIONS

Women use MHC and GPs more frequently than men, yet this depends on the type and severity of mental health problems.

Mood and anxiety disorders across the adult lifespan: a European perspective

BACKGROUND

The World Mental Health Survey Initiative (WMHSI) has advanced our understanding of mental disorders by providing data suitable for analysis across many countries. However, these data have not yet been fully explored from a cross-national lifespan perspective. In particular, there is a shortage of research on the relationship between mood and anxiety disorders and age across countries. In this study we used multigroup methods to model the distribution of 12-month DSM-IV/CIDI mood and anxiety disorders across the adult lifespan in relation to determinants of mental health in 10 European Union (EU) countries.

METHOD

Logistic regression was used to model the odds of any mood or any anxiety disorder as a function of age, gender, marital status, urbanicity and employment using a multigroup approach (n = 35500). This allowed for the testing of specific lifespan hypotheses across participating countries.

RESULTS

No simple geographical pattern exists with which to describe the relationship between 12-month prevalence of mood and anxiety disorders and age. Of the adults sampled, very few aged ≥ 80 years met DSM-IV diagnostic criteria for these disorders. The associations between these disorders and key sociodemographic variables were relatively homogeneous across countries after adjusting for age.

CONCLUSIONS

Further research is required to confirm that there are indeed stages in the lifespan where the reported prevalence of mental disorders is low, such as among younger adults in the East and older adults in the West. This project illustrates the difficulties in conducting research among different age groups simultaneously.

Epidemiology and genetics of common mental disorders in the general population: the PEGASUS-Murcia project

BACKGROUND

Multidisciplinary collaboration between clinicians, epidemiologists, neurogeneticists and statisticians on research projects has been encouraged to improve our knowledge of the complex mechanisms underlying the aetiology and burden of mental disorders. The PEGASUS-Murcia (Psychiatric Enquiry to General Population in Southeast Spain-Murcia) project was designed to assess the prevalence of common mental disorders and to identify the risk and protective factors, and it also included the collection of biological samples to study the gene-environmental interactions in the context of the World Mental Health Survey Initiative.

METHODS AND ANALYSIS

The PEGASUS-Murcia project is a new cross-sectional face-to-face interview survey based on a representative sample of non-institutionalised adults in the Region of Murcia (Mediterranean Southeast, Spain). Trained lay interviewers used the latest version of the computer-assisted personal interview of the Composite International Diagnostic Interview (CIDI 3.0) for use in Spain, specifically adapted for the project. Two biological samples of buccal mucosal epithelium will be collected from each interviewed participant, one for DNA extraction for genomic and epigenomic analyses and the other to obtain mRNA for gene expression quantification. Several quality control procedures will be implemented to assure the highest reliability and validity of the data. This article describes the rationale, sampling methods and questionnaire content as well as the laboratory methodology.

ETHICS AND DISSEMINATION

Informed consent will be obtained from all participants and a Regional Ethics Research Committee has approved the protocol. Results will be disseminated in peer-reviewed publications and presented at the national and the international conferences.

DISCUSSION

Cross-sectional studies, which combine detailed personal information with biological data, offer new and exciting opportunities to study the gene-environmental interactions in the aetiology of common mental disorders in representative samples of the general population. A collaborative multidisciplinary research approach offers the potential to advance our knowledge of the underlying complex interactions and this opens the field for further innovative study designs in psychiatric epidemiology.

Multidimensional item response theory models yielded good fit and reliable scores for the Short Form-12 questionnaire

OBJECTIVES

To propose a multidimensional item response theory (MIRT) scoring system for the Short Form 12 (SF-12) with good psychometric properties in terms of fit and reliability.

STUDY DESIGN AND SETTINGS

Two models, indicating physical (PCS) and mental component summary (MCS) dimensions, were fitted to SF-12 data from the European Study of the Epidemiology of Mental Disorders, a representative sample from European adult general population (n=21,425; response rate=61.2%). Goodness of fit, information, reliability, and agreement of individual scores were compared with the classical SF-12 and RAND-12 algorithms.

RESULTS

The bidimensional response process (BRP) model, where all items are indicators of both dimensions, yielded the best fit (root mean square error of approximation=0.057, comparative fit index=0.95, and Tucker-Lewis index=0.94), and highly agreed with PCS and MCS scores from the SF-12 (intraclass correlation coefficients of 0.92 and 0.88, respectively) and RAND-12 (0.88 and 0.95). Regarding reliability, the BRP yielded 0.75 and 0.77 (PCS and MCS, respectively), greater than SF-12 (0.65 and 0.66) and RAND-12 (0.65 and 0.67). As indicated by scale linking, MIRT scores can be interpreted similarly to the classical scores.

CONCLUSION

The MIRT models showed a clear construct structure for the PCS and MCS dimensions, defined by functional and role limitation content. Results support the use of SF-12 MIRT-based scores as a valid and reliable option to assess health status.

Is ADHD in childhood associated with lifetime hoarding symptoms? An epidemiological study

BACKGROUND

Although hoarding symptoms have been traditionally conceptualized as part of obsessive-compulsive disorder (OCD), recent data suggest that they may be more closely related to attention-deficit hyperactivity (ADHD) symptoms and, in particular, inattention. The aim of the present epidemiological study was to investigate the association between retrospectively reported ADHD symptoms in childhood and lifetime hoarding symptoms.

METHODS

Retrospectively reported childhood ADHD, and lifetime hoarding and obsessive-compulsive symptoms were assessed with the Composite International Diagnostic Interview 3.0 in a random subsample of individuals (n = 2,963) participating in a cross-sectional survey of the adult general population of nine European countries, as part of the World Mental Health (WMH) Surveys.

RESULTS

Lifetime hoarding symptoms were more common among individuals with childhood ADHD symptoms than those without ADHD symptoms (8.9% versus 2.7%, P = 0.024). Childhood inattention (but not hyperactivity) was associated with lifetime hoarding symptoms (OR = 6.04, 95% CI = 3.59-10.1) and this association remained significant after controlling for the presence of obsessive-compulsive symptoms.

CONCLUSION

Longitudinal studies are now needed to explore the hypothesis that inattention symptoms in childhood may be a precursor of hoarding difficulties later in life.

Cross-cultural adaptation and validation of the Brazilian version of the Wisconsin Brief Pain Questionnaire

CONTEXT

Chronic pain is a common complaint among patients with muscular disease. The Wisconsin Brief Pain Questionnaire (WBPQ) has been used to quantify pain severity and pain interference with daily functions.

OBJECTIVES

To translate the WBPQ for use with Brazilian patients and to evaluate the psychometric properties of the adaptation.

METHODS

We conducted a cross-cultural adaptation of the original English version of the WBPQ for use in Brazil (WBPQ-B) and evaluated the psychometric properties of the adapted version. The original questionnaire was translated, evaluated by an expert panel, pilot tested in 40 patients, and back-translated. Subsequently, the tool was administered, in a cross-sectional study, to 100 adult patients who had muscular disease and were being attended to at our university hospital.

RESULTS

We performed a confirmatory factor analysis and assessed the reliability and validity of the questionnaire (Appendix). The two-factor structure (pain intensity and pain interference) was confirmed satisfactorily. Internal consistency for both scales was adequate (Cronbach's alpha = 0.74 and 0.79, respectively), as was the interrater stability (intraclass correlation coefficients = 0.88 and 0.92, respectively). Convergent validity with the 36-Item Short Form Health Survey was supported by confirmation of a priori hypotheses of negative and satisfactory correlations between the WBPQ-B and some of the 36-Item Short Form Health Survey domains. The pain interference scale correlated higher with the mental summary component. Known-group validity analysis showed that the pain intensity items and scale of the WBPQ-B were higher in the groups where patients with exercise intolerance were concentrated.

CONCLUSION

We found the WBPQ-B to be a reliable and valid instrument for pain assessment of Brazilians who have muscular disease. The survey presents similar psychometric properties to the original version.

Disability mediates the impact of common conditions on perceived health

Background

We examined the extent to which disability mediates the observed associations of common mental and physical conditions with perceived health.

Methods and Findings

WHO World Mental Health (WMH) Surveys carried out in 22 countries worldwide (n = 51,344 respondents, 72.0% response rate). We assessed nine common mental conditions with the WHO Composite International Diagnostic Interview (CIDI), and ten chronic physical with a checklist. A visual analog scale (VAS) score (0, worst to 100, best) measured perceived health in the previous 30 days. Disability was assessed using a modified WHO Disability Assessment Schedule (WHODAS), including: cognition, mobility, self-care, getting along, role functioning (life activities), family burden, stigma, and discrimination. Path analysis was used to estimate total effects of conditions on perceived health VAS and their separate direct and indirect (through the WHODAS dimensions) effects.

Twelve-month prevalence was 14.4% for any mental and 51.4% for any physical condition. 31.7% of respondents reported difficulties in role functioning, 11.4% in mobility, 8.3% in stigma, 8.1% in family burden and 6.9% in cognition. Other difficulties were much less common. Mean VAS score was 81.0 (SD = 0.1). Decrements in VAS scores were highest for neurological conditions (9.8), depression (8.2) and bipolar disorder (8.1). Across conditions, 36.8% (IQR: 31.2–51.5%) of the total decrement in perceived health associated with the condition were mediated by WHODAS disabilities (significant for 17 of 19 conditions). Role functioning was the dominant mediator for both mental and physical conditions. Stigma and family burden were also important mediators for mental conditions, and mobility for physical conditions.

Conclusions

More than a third of the decrement in perceived health associated with common conditions is mediated by disability. Although the decrement is similar for physical and mental conditions, the pattern of mediation is different. Research is needed on the benefits for perceived health of targeted interventions aimed at particular disability dimensions.

The mental component of the short-form 12 health survey (SF-12) as a measure of depressive disorders in the general population: results with three alternative scoring methods

OBJECTIVES

To evaluate the performance of the Mental Component of the Short-Form 12 Health Survey, Version 1(SF-12v1), as a screening measure of depressive disorders.

METHODS

Data come from the European Study of the Epidemiology of Mental Disorders (ESEMeD), a cross-sectional survey carried out on representative samples of 21,425 individuals from the noninstitutionalized adult general population of six European countries (response rate = 61.2%). The SF-12 was administered and scored according to three algorithms: the "original" method (mental component summary of SF-12 [MCS-12]), the RAND-12 (RAND-12 Mental Health Composite [RAND-12 MHC]), and the Bidemensional Response Process Model 12 mental health score (BRP-12 MHS), based on a two-factor Item Response Theory graded response model. Thirty-day and 12-month depressive disorders (major depressive episode or dysthymia) were assessed with the Composite International Diagnostic Interview, Version 3.0, by using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. Receiver operating characteristic curves analysis was carried out, and optimal cutoff points maximizing balance between sensitivity (SN) and specificity (SP) were chosen for the three methods.

RESULTS

Prevalence of 30-day and 12-month depressive disorders in the overall sample was 1.5% and 4.4%, respectively. The area under the curve for 30-day depressive disorders was 0.92, and it decreased to 0.85 for 12-month disorders, regardless of the scoring method. Optimal cutoff for 30-day depressive disorders was 45.6 (SN = 0.86; SP = 0.88) for the MCS-12, 44.5 for the RAND-12 MHC (SN = 0.87, SP = 0.86), and 40.2 for the BRP-12 MHS (SN = 0.87, SP = 0.87). The selected 12-month cutoffs for MCS-12 and RAND-12 MHC were between 4.2 and 5.8 points below the general population means of each country, with SN range 0.67 to 0.78 and SP range 0.77 to 0.87.

CONCLUSIONS

The SF-12 yielded acceptable results for detecting both active and recent depressive disorders in general population samples, suggesting that the questionnaire could be used as a useful screening tool for monitoring the prevalence of affective disorders and for targeting treatment and prevention.

Gender differences in mental health expectancies in early- and midlife in six European countries

BACKGROUND

Health expectancies, taking into account both quality and quantity of life, have generally been based on disability and physical functioning.

AIMS

To compare mental health expectancies at age 25 and 55 based on common mental disorders both across countries and between males and females.

METHOD

Mental health expectancies were calculated by combining mortality data from population life tables and the age-specific prevalence of selected common mental disorders obtained from the European Study of the Epidemiology of Mental Disorders (ESEMeD).

RESULTS

For the male population aged 25 (all countries combined) life expectancy was 52 years and life expectancy spent with a common mental disorder was 1.8 years (95% CI 0.7-2.9), 3.4% of overall life expectancy. In comparison, for the female population life expectancy at age 25 was higher (57.9 years) as was life expectancy spent with a common mental disorder (5.1 years, 95% CI 3.6-6.6) and as a proportion of overall life expectancy, 8.8%. By age 55 life expectancy spent with a common mental disorder had reduced to 0.7 years (males) and 2.3 years (females).

CONCLUSIONS

Age and gender differences underpin our understanding of years spent with common mental disorders in adulthood. Greater age does not mean living relatively more years with common mental disorder. However, the female population spends more years with common mental disorders and a greater proportion of their longer life expectancy with them (and with each studied separate mental disorder).

Association of childhood adversities with the first onset of mental disorders in Spain: results from the ESEMeD project

PURPOSE

Childhood adversities (CAs) have consistently been associated with mental health problems in childhood and adulthood. However, few studies have employed appropriate statistical methods that take into account overlap among CAs, and many of the ones that did so were based on insufficiently complex models. The present paper studies the prevalence of a wide variety of CAs, as well as their relationship to the onset of mental disorders in a representative sample of a Spanish population.

METHODS

The study is part of the ESEMeD-Spain project, a cross-sectional household survey, which included a nationally representative sample of the Spanish adult population. CAs' associations with lifetime prevalence of mental disorders were estimated using discrete-time survival analysis with person-years as the unit of analysis.

RESULTS

Of our sample, 20.6% reported at least one CA, of whom 24% reported more than one CA. Parental death, parental mental disorder, family violence, economic adversity, physical and sexual abuse were associated with different groups of mental disorders. CAs were associated with the onset of mental disorders during several stages of life. Simulations suggest that CAs were associated with 12.6% of all disorders, 10.8% of mood disorders, 5.8% of anxiety disorders, 27% of substance disorders and 29.7% of externalising disorders.

CONCLUSIONS

Prevalences of CAs in the Spanish population are lower than those found in other high-income countries, especially when compared to the USA. In Spain, different CAs were associated with the onset of a number of mental disorders, although these associations were not as frequent as in other countries. Although lower than in other countries, the association between CAs and mental health in Spain should be considered relevant. Specific health policies and prevention programmes are needed in order to decrease this burden.

Use of general practitioners versus mental health professionals in six European countries: the decisive role of the organization of mental health-care systems

OBJECTIVE

To investigate patterns of use of general practitioners (GPs) and/or mental health professionals (MHPs) for mental health reasons, across six European countries, and the extent to which these patterns of use are associated with differences in mental health-care delivering systems.

METHODS

Data are based on the European Study of the Epidemiology of Mental Disorders (ESEMeD): a cross-sectional survey of a representative sample of 8,796 non-institutionalized adults from six European countries, conducted between 2001 and 2003 using computer-assisted interviews with the CIDI-3.0. Countries were classified into: MHP- for countries where access to medical professionals tends to predominate (Belgium, France, Italy), and MHP+ where access to non-medical MHPs predominates (Germany, Spain, The Netherlands).

RESULTS

Among respondents consulting GPs and/or MHPs in the past year (n = 1,019), respondents from the MHP- group more often consulted GPs (68 vs. 55 % in MHP+ group), GPs and psychiatrists (23 vs. 14 %). People from the MHP+ group more often used MHPs only (45 vs. 32 %), GPs and non-medical MHPs (16 vs. 8 %). GPs from the MHP+ group were more inclined to refer patients to MHPs. Factors associated with use of GPs versus MHPs were: being over 49 years, not highly educated, lower income and suffering from mood or severe mental disorders.

CONCLUSIONS

Differences in the use of GPs versus MHPs are markedly linked to individual as well as organizational factors. Interventions are needed, in countries fostering medical access, to reimburse sessions with non-medical MHPs and improve cooperation between professionals to obtain better practice in access to care.

Comorbidity and disease burden in the National Comorbidity Survey Replication (NCS-R)

BACKGROUND

Disease burden estimates rarely consider comorbidity. Using a recently developed methodology for integrating information about comorbidity into disease burden estimates, we examined the comparative burdens of nine mental and 10 chronic physical disorders in the National Comorbidity Survey Replication (NCS-R).

METHODS

Face-to-face interviews in a national household sample (n = 5,692) assessed associations of disorders with scores on a visual analog scale (VAS) of perceived health. Multiple regression analysis with interactions for comorbidity was used to estimate these associations. Simulation was used to estimate incremental disorder-specific effects adjusting for comorbidity.

RESULTS

The majority of respondents (74.9%) reported one or more disorders. Of respondents with disorders, 73.8-98.2% reported having at least one other disorder. The best-fitting model to predict VAS scores included disorder main effects and interactions for number of disorders. Adjustment for comorbidity reduced individual-level disorder-specific burden estimates substantially, but with considerable between-disorder variation (0.07-0.69 ratios of disorder-specific estimates with and without adjustment for comorbidity). Four of the five most burdensome disorders at the individual level were mental disorders based on bivariate analyses (panic/agoraphobia, bipolar disorder, posttraumatic stress disorder, major depression) but only two based on multivariate analyses, adjusting for comorbidity (panic/agoraphobia, major depression). Neurological disorders, chronic pain conditions, and diabetes were the other most burdensome individual-level disorders. Chronic pain conditions, cardiovascular disorders, arthritis, insomnia, and major depression were the most burdensome societal-level disorders.

CONCLUSIONS

Adjustments for comorbidity substantially influence estimates of disease burden, especially those of mental disorders, underlining the importance of including information about comorbidity in studies of mental disorders.

Role of common mental and physical disorders in partial disability around the world

BACKGROUND

Mental and physical disorders are associated with total disability, but their effects on days with partial disability (i.e. the ability to perform some, but not full-role, functioning in daily life) are not well understood.

AIMS

To estimate individual (i.e. the consequences for an individual with a disorder) and societal effects (i.e. the avoidable partial disability in the society due to disorders) of mental and physical disorders on days with partial disability around the world.

METHOD

Respondents from 26 nationally representative samples (n = 61 259, age 18+) were interviewed regarding mental and physical disorders, and day-to-day functioning. The Composite International Diagnostic Interview, version 3.0 (CIDI 3.0) was used to assess mental disorders; partial disability (expressed in full day equivalents) was assessed with the World Health Organization Disability Assessment Schedule in the CIDI 3.0.

RESULTS

Respondents with disorders reported about 1.58 additional disability days per month compared with respondents without disorders. At the individual level, mental disorders (especially post-traumatic stress disorder, depression and bipolar disorder) yielded a higher number of days with disability than physical disorders. At the societal level, the population attributable risk proportion due to physical and mental disorders was 49% and 15% respectively.

CONCLUSIONS

Mental and physical disorders have a considerable impact on partial disability, at both the individual and at the societal level. Physical disorders yielded higher effects on partial disability than mental disorders.

Days out of role due to common physical and mental conditions: results from the WHO World Mental Health surveys

Days out of role because of health problems are a major source of lost human capital. We examined the relative importance of commonly occurring physical and mental disorders in accounting for days out of role in 24 countries that participated in the World Health Organization (WHO) World Mental Health (WMH) surveys. Face-to-face interviews were carried out with 62 971 respondents (72.0% pooled response rate). Presence of ten chronic physical disorders and nine mental disorders was assessed for each respondent along with information about the number of days in the past month each respondent reported being totally unable to work or carry out their other normal daily activities because of problems with either physical or mental health. Multiple regression analysis was used to estimate associations of specific conditions and comorbidities with days out of role, controlling by basic socio-demographics (age, gender, employment status and country). Overall, 12.8% of respondents had some day totally out of role, with a median of 51.1 a year. The strongest individual-level effects (days out of role per year) were associated with neurological disorders (17.4), bipolar disorder (17.3) and post-traumatic stress disorder (15.2). The strongest population-level effect was associated with pain conditions, which accounted for 21.5% of all days out of role (population attributable risk proportion). The 19 conditions accounted for 62.2% of all days out of role. Common health conditions, including mental disorders, make up a large proportion of the number of days out of role across a wide range of countries and should be addressed to substantially increase overall productivity.

Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: results of the ESEMeD project

Epidemiological studies on mental health and mental comorbidity are usually based on prevalences and correlations between disorders, or some other form of bivariate clustering of disorders. In this paper, we propose a Factor Mixture Model (FMM) methodology based on conceptual models aiming to measure and summarize distinctive disorder information in the internalizing and externalizing dimensions. This methodology includes explicit modelling of subpopulations with and without 12 month disorders ("ill" and "healthy") by means of latent classes, as well as assessment of model invariance and estimation of dimensional scores. We applied this methodology with an internalizing/externalizing two-factor model, to a representative sample gathered in the European Study of the Epidemiology of Mental Disorders (ESEMeD) study -- which includes 8796 individuals from six countries, and used the CIDI 3.0 instrument for disorder assessment. Results revealed that southern European countries have significantly higher mental health levels concerning internalizing/externalizing disorders than central countries; males suffered more externalizing disorders than women did, and conversely, internalizing disorders were more frequent in women. Differences in mental-health level between socio-demographic groups were due to different proportions of healthy and ill individuals and, noticeably, to the ameliorating influence of marital status on severity. An advantage of latent model-based scores is that the inclusion of additional mental-health dimensional information -- other than diagnostic data -- allows for greater precision within a target range of scores.