31 research outputs found

    Improving Access to Mental Health Care in an Orthodox Jewish Community: A Critical Reflection Upon the Accommodation of Otherness

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    The English National Health Service (NHS) has significantly extended the supply of evidence based psychological interventions in primary care for people experiencing common mental health problems. Yet despite the extra resources, the accessibility of services for ‘under-served’ ethnic and religious minority groups, is considerably short of the levels of access that may be necessary to offset the health inequalities created by their different exposure to services, resulting in negative health outcomes. This paper offers a critical reflection upon an initiative that sought to improve access to an NHS funded primary care mental health service to one ‘under-served’ population, an Orthodox Jewish community in the North West of England

    A many-analysts approach to the relation between religiosity and well-being

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    The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported ÎČ=0.120). For the second research question, this was the case for 65% of the teams (median reported ÎČ=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates
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