[Potential accessibility to mental health services in Montreal: a geographical information system approach]

Assessing and Qualifying Neighborhood Walkability for Older Adults: Construction and Initial Testing of a Multivariate Spatial Accessibility Model

Population aging and urban development pose major challenges for societies today. Joining the literature assessing urban accessibility, the present exploratory research developed a multivariate accessibility model based on four independent variables—related to formal and structural urban space—that influence walkability for older adults (pedestrian network; facilities and shops; public benches; and slopes and gradients). The model used ArcGIS software. For the accessibility calculations, we selected two suburban neighborhoods in the conurbation of Grenoble (France) and selected three types of older adults’ profiles to reflect the variety of aging: an older adult in good health, an older adult with a chronic disease, and an older adult with reduced mobility. The results suggest that the accessibility of a neighborhood depends not only on its physical and urban characteristics, but it is also influenced by the physical and health characteristics of its inhabitants. The originality of the model lies mainly in its ability to estimate the spatial accessibility of a territory by taking into account, firstly, objective data such as the physical characteristics and the built environment of the neighborhood through objectification variables that consider such original variables as the presence of benches or the slopes and gradients and, secondly, specific data such as the physical and/or health characteristics of the study population. The measurement of geospatial accessibility could be of great value for public health in urban contexts, which is why relevant tools and methodologies are needed to objectively examine and intervene in public spaces in order to make them age-friendly.

Methodology for building a geographical accessibility health index throughout metropolitan France

Spatial accessibility to health services is a key factor in terms of public health. Even though some tools are available, establishing accessibility criteria applicable from one geographic scale to another remains difficult. Therefore, we propose a method for creating a health accessibility index applicable on a large geographic scale, based on a methodology that overcomes the limitations of political-administrative divisions and which allows a multi-scalar approach to be implemented. The index highlights, on a national scale, areas of cumulative health disadvantages. This index of accessibility to health care combines accessibility and availability and can be adapted to many geographical scales. As accessibility can be understood in various dimensions, a score could be calculated for various fields such as education and culture. The index can help policymakers to identify under-endowed areas and find optimal locations. In terms of public health, it may be used to understand the mechanisms underlying geographic health disparities.

Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis

PURPOSE

Early residential mobility of schizophrenic patients may relate to discontinuity of treatment and adverse outcome. However, factors influencing early residential mobility of these patients are still poorly examined. The aim of this study was to disentangle the influence of individual and neighborhood characteristics on early residential mobility of schizophrenic patients.

METHODS

The study used administrative data of 13, 400 individuals newly diagnosed with schizophrenia in Quebec between 2001 and 2002. These individuals were nested in 163 different health territories. Multilevel analyses were used to assess the contribution of individual and neighborhood characteristics on early residential mobility.

RESULTS

The final model indicates that at the individual level, being men, wonder patients and physical comorbidity increased the likelihood of early residential mobility whereas older patients were less likely to migrate earlier. The health territory level explains about 7 % of the variation of early residential mobility and variables influencing residential mobility at this level are the fourth and the third quartiles of the population density.

CONCLUSIONS

Factors influencing early residential mobility of schizophrenic patients are located at both individual and neighborhood levels. This suggests that policies targeting only one-level factors are unlikely to significantly delays early residential mobility.