There is robust and consistent evidence from epidemiological studies showing that urban birth is associated with an increased risk of developing schizophrenia. Evidence suggests that this exposure may be associated with a sizeable proportion of cases. To date the candidate exposures underlying the urban birth risk factor have included infectious agents, low prenatal vitamin D, toxins associated with pollution, and stress. However, in general, the hypotheses proposed to explain the urban birth risk factor have been unsatisfying. In light of the general trend towards increasing urbanization, it is feasible that the attributable fraction of schizophrenia associated with urban birth may increase. The psychiatric research community should have a sense of urgency in exploring the mechanisms linking urban birth and risk of schizophrenia.

Many studies have identified urban-rural differences in schizophrenia risk. The underlying cause(s) may hypothetically include toxic exposures, diet, infections, and selective migration. In a recent study, we concluded that some of the cause(s) responsible for the urban-rural differences in schizophrenia risk are rooted in families, but some might also be rooted in individuals. First, we describe temporality as a potential methodological pitfall within this line of research, then we review studies not subject to this pitfall, and finally, we describe why factors rooted in the family may solely explain the urban-rural differences. Although other potential explanations for these differences exist, we focus on this hypothesis as it has not previously been discussed in detail. To determine the cause(s) responsible for the urban-rural differences, we need direct measurements of genetic and/or environmental factors related to urban life.

Given the relatively high attributable risks associated with urbanicity it is crucially important to learn more on how this exposure impacts on population risk for schizophrenia. Further elucidation of the environmental influences that currently go under the name of “urbanicity” therefore is a crucial step in unravelling the etiology of schizophrenia. In order to make the step from association to cause, a plausible mechanism detailing the pathway from impact of exposure to onset of psychotic symptoms is needed. This paper outlines possible avenues and clues to the identification of possible mechanisms and pathways. The focus is on mechanisms of gene-environment interaction in the context of both functional genetic polymorphisms and epigenetic variation.

Aim – The aim of this paper is to discuss the study of equity in mental health contexts. Methods – We review major principles and theories of distributive justice, covering various disciplines such as ethics, philosophy, economics, medicine and sociology. Recent literature on empirical analysis of inequalities in the mental health field is also reviewed. Results – The review of literature reveals a general lack of debate on equity principles in relation to mental health. Robust empirical evidence on inequalities in the field is also scarce. Conclusions – There is need for better exposition of the relevance of different equity principles for mental health policy and practice. There is also a need for developing standardised methods for the empirical analysis of equity, to examine the distribution of psychiatric morbidity and use of services by income, socioeconomic group, ethnicity, gender and place of residence, and, of course, to examine how equity can be promoted.

Declaration of Interest: This work was funded by the Department of Health programme grant to the PSSRU.

Aims – It used to be thought that the problems of psychosis were qualitatively difference from those of other disorders and therefore unamenable to psychological interventions. However more recent evidence will be summarised which suggests otherwise. Methods – A cognitive model of the positive symptoms of psychosis (Garety et al, 2001; Kuipers et al.,2006) is described which builds on work on the dimensions of symptoms of psychosis, the continuum between non-clinical and clinical populations, and the contribution of emotional processes, cognitive reasoning biases and social factors. Results – Evidence from both epidemiological and empirical studies from our research group and others, support some of the pathways of symptom formation and maintenance proposed by the model. Specifically there is evidence for the role of trauma, social adversity and stress. These may trigger emotional responses and unusual experiences and together with reasoning biases lead to appraisals that can be defined as positive symptoms such as delusions and hallucinations. Similar processes interact to maintain symptoms. Conclusions – Cognitive models of psychosis have led to the development of cognitive behavioural treatments for delusions and hallucinations, which show some evidence of efficacy. Such treatments need to be refined in the light of recent research.

Declaration of Interest: none

Aim – The purpose of this review is to summarize the evidence base on the effectiveness of (a) screening for depression in primary care; (b) managing depression in primary care employing specific management strategies; (c) treating primary care depressive patients with antidepressants. Methods – Meta-review of all available reviews of the evidence. Results – Screening alone does not improve the recognition, management and outcome of depression in primary care settings. Management strategies, including (a) training primary care staff, (b) consultation-liaison, (c) collaborative care, (d) replacement/referral are supported by insufficient evidence to provide a definite answer as to the clinical effectiveness of individual models. Robust evidence exists to encourage physicians to prescribe effective doses of antidepressants in patients with moderate to severe depression who seek treatment in primary care settings. Conclusion – Population-level screening campaigns have a negative ratio of costs to benefits. However, at an individual-level of care increasing the ability of primary care physicians in recognising depression remains a relevant factor. Primary care physicians should consider whether depression is mild, moderate or severe. This patient categorisation help develop appropriate management and therapeutic strategies.

Declaration of Interest: none

Aims – To define the epidemiological and clinical characteristics of Post Stroke Depression (PSD) and to evaluate treatment options. Methods – Systematic search using Medline electronic database limited to studies published from year 2000 to 2004, was carried out. Manual search was also performed. Results – Depression after stroke is a common event. The same, stroke incidence in depressed patients is more frequent than by chance. Risk of underdiagnosing a patient with former stroke is high. Disability after stroke is frequent, with compromission of quality of life of patients and relatives. Antidepressants are efficacious in PSD treatment, even if complete remission is difficult to obtain. Conclusions – There is enough evidence concerning epidemiology, pathogenesis, clinical and therapy to justify psychiatrists' interest on relationship between stroke and depression.

Declaration of Interest: in the past two years PP, GSL, PS have received no fees or other financial support from pharmaceutical companies, GM has received speaker fees from Sanofi-Aventis, Lundbeck, Bayer Health Care, Boehringer Ingelheim, Novo Mordisk.

Aims – To obtain a new, well-balanced mental health funding system, through the creation of i) a list of psychiatric interventions provided by Italian Community-based Psychiatric Services (CPS), and associated costs; ii) a new prospective funding system for patients with a high use of resources, based on packages of care. Methods – Five Italian Community-based Psychiatric Services collected data from 1250 patients during October 2002. Socio-demographical and clinical characteristics and GAF scores were collected at baseline. All psychiatric contacts during the following six months were registered and categorised into 24 service contact types. Using elasticity equation and contact characteristics, we estimate the costs of care. Cluster analysis techniques identified packages of care. Logistic regression defined predictive variables of high use patients. Multinomial Logistic Model assigned each patient to a package of care. Results – The sample's socio-demographic characteristics are similar, but variations exist between the different CPS. Patients were then divided into two groups, and the group with the highest use of resources was divided into three smaller groups, based on number and type of services provided. Conclusions – Our findings show how is possible to develop a cost predictive model to assign patients with a high use of resources to a group that can provide the right level of care. For these patients it might be possible to apply a prospective per-capita funding system based on packages of care.

Declaration of Interest: None