A multidisciplinary approach to insanity assessment as a way to reduce cognitive biases.

Insanity assessment requires the evaluation of the psychopathological condition that underlies the mens rea. Psychopathological evaluation may be quite challenging due to (i) absence of biomarkers; (ii) low inter-rater reliability; (iii) presence of cognitive bias. This intrinsic low reliability of forensic psychiatric diagnosis does impact on insanity assessment, leading to arbitrary and unjust legal outcomes for the examinee. Thus, strategies to improve the reliability of insanity evaluation are strongly needed. A multidisciplinary approach has been proposed as a way to enrich clinical diagnosis with reliable and biologically founded data, thus minimizing subjectivity, reducing controversies and increasing inter-subject concordance in insanity assessment. By discussing a real case, here we show how the convergence of multiple indices can produce evidence that cannot be denied without introducing logical fallacies. Applying this approach, the forensic discussion will move from the presence/absence of psychopathology to the impact of psychopathology on insanity. This article illustrates how a multidisciplinary evaluation, which integrates neuroscientific methods with the classical insanity assessment, may lead to a more accurate approach in insanity evaluation. Critically, this approach will minimize the impact of cognitive bias on insanity opinion and thus result in an improvement of the whole criminal justice process.

[Environmental justice promotion in industrially contaminated sites]. / Promozione della giustizia ambientale nei siti industriali contaminati.

The communities residing close to industrially contaminated sites are often affected by several fragilities, particularly of a socioeconomic nature. The disadvantaged conditions have often resulted from their marginalization in the decision-making related to the industrialization processes and may persist even when action is taken to limit the harmful consequences for the natural and social environment. Exposure to contaminants and the resulting health risks often regard socioeconomic deprived communities or the most disadvantaged subgroups, generating conditions of environmental injustice. This paper reports the results of a multidisciplinary reflection focusing on the Italian context. It describes how the national epidemiological surveillance system of communities residing close to industrially contaminated sites (named SENTIERI) and local epidemiological surveillance systems can be implemented to document local conditions of distributive injustice (inequalities in harmful exposures and consequent health risks). Furthermore, it analyses the mechanisms for generating and maintaining marginalities that prevent local communities from participating in decision-making processes (procedural injustice). Finally, after having identified and described the dimensions of community capacity, which concern both to the understanding of the adverse effects of environmental contamination and to the capability of promoting interventions against environmental injustices, it proposes an environmental justice promotion approach that starts from mapping the dimensions of community capacity as a premise to the identification of interventions for community empowerment.

Urban renewal, gentrification and health equity: a realist perspective.

Background: Up to now, research has focused on the effects of urban renewal programs and their impacts on health. While some of this research points to potential negative health effects due to gentrification, evidence that addresses the complexity associated with this relation is much needed. This paper seeks to better understand when, why and how health inequities arise from urban renewal interventions resulting in gentrification. Methods: A realist review, a qualitative systematic review method, aimed to better explain the relation between context, mechanism and outcomes, was used. A literature search was done to identify theoretical models of how urban renewal programs can result in gentrification, which in turn could have negative impacts on health. A systematic approach was then used to identify peer-reviewed studies that provided evidence to support or refute the initial assumptions. Results: Urban renewal programs that resulted in gentrification tended to have negative health effects primarily in residents that were low-income. Urban renewal policies that were inclusive of populations that are vulnerable, from the beginning were less likely to result in gentrification and more likely to positively impact health through physical and social improvements. Conclusions: Research has shown urban renewal policies have significant impacts on populations that are vulnerable and those that result in gentrification can result in negative health consequences for this population. A better understanding of this is needed to impact future policies and advocate for a community-participatory model that includes such populations in the early planning stages.

The Role of Contextual Socioeconomic Circumstances and Neighborhood Poverty Segregation on Mortality in 4 European Cities.

Several studies have recognized the health disadvantage of residents in socioeconomically deprived neighborhoods, independent of the influence of individual socioeconomic conditions. The effect of neighborhood socioeconomic deprivation on general mortality has appeared heterogeneous among the cities analyzed: the underlying mechanisms have been less empirically explored, and explanations for this heterogeneous health effect remain unclear. The present study aimed to: (1) analyze the distribution of socioeconomically disadvantaged persons in neighborhoods of 4 European cities-Turin, Barcelona, Stockholm and Helsinki-trying to measure segregation of residents according to their socioeconomic conditions. Two measuring approaches were used, respectively, through dissimilarity index and clustering estimated from Bayesian models. (2) Analyze the distribution of mortality in the above mentioned cities, trying to disentangle the independent effects of both neighborhood socioeconomic deprivation and neighborhood segregation of residents according to their socioeconomic conditions, using multilevel models. A significantly higher risk of death was observed among residents in more deprived neighborhoods in all 4 cities considered, slightly heterogeneous across them. Poverty segregation appeared to be slightly associated with increasing mortality in Turin and, among females and only according to dissimilarity, in Barcelona. Few studies have explored the health effects of social clustering, and results could inform urban policy design with regard to social mix.

The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City.

Mental health (MH) has a relevant burden on the health of populations. Common MH disorders (anxiety and non-psychotic depression) are well associated to socioeconomic individual and neighborhood characteristics, but little is known about the influence of urban structure. We analyzed among a Turin (Northwest Italy) urban population the association at area level of different urban structure characteristics (density, accessibility by public transport, accessibility to services, green and public spaces) and consumption of antidepressants. Estimates were adjusted by individual socio-demographic variables (education, housing tenure, employment) and contextual social environment (SE) variables (social and physical disorder, crime rates). Data was extracted from the Turin Longitudinal Study (TLS)-a census-based cohort study following up prospectively the mortality and morbidity of the population. As expected, individual characteristics show the strongest association with antidepressant drug consumption, while among built environment (BE) indicators accessibility by public transport and urban density only are associated to MH, being slightly protective factors. Results from this study, in agreement with previous literature, suggest that BE has a stronger effect on MH for people who spend more time in the neighborhood. Therefore, this research suggests that good accessibility to public transport, as well as a dense urban structure (versus sprawl), could contribute to reduced risk of depression, especially for women and elderly, by increasing opportunities to move around and have an active social life.

From built environment to health inequalities: An explanatory framework based on evidence.

OBJECTIVE: The Health in All Policies strategy aims to engage every policy domain in health promotion. The more socially disadvantaged groups are usually more affected by potential negative impacts of policies if they are not health oriented. The built environment represents an important policy domain and, apart from its housing component, its impact on health inequalities is seldom assessed. METHODS: A scoping review of evidence on the built environment and its health equity impact was carried out, searching both urban and medical literature since 2000 analysing socio-economic inequalities in relation to different components of the built environment. RESULTS: The proposed explanatory framework assumes that key features of built environment (identified as density, functional mix and public spaces and services), may influence individual health through their impact on both natural environment and social context, as well as behaviours, and that these effects may be unequally distributed according to the social position of individuals. CONCLUSION: In general, the expected links proposed by the framework are well documented in the literature; however, evidence of their impact on health inequalities remains uncertain due to confounding factors, heterogeneity in study design, and difficulty to generalize evidence that is still very embedded to local contexts.