BackgroundThe aim of this study was to assess the frequency of chest pain presentations and the subsequent non-cardiac chest pain diagnoses in an emergency department (ED) over a 3 year period.MethodsAdministrative data on ED attendances to an urban general hospital in Northern Ireland between March 2013 and March 2016 were used. Data were coded and analysed to estimate frequencies of ‘chest pain’ presentation and the subsequent diagnoses for each year.ResultsBoth chest pain presentations and chest pain presentations with a subsequent diagnosis of unknown cause increased each year. In total, 58.7% of all chest presentations across 3 years resulted in a non-cardiac diagnosis of either ‘anxiety’, ‘panic’ or ‘chest pain of unknown cause’.DiscussionThere is a significant amount of patients in the ED leaving with a non-cardiac diagnosis, following an initial presentation with chest pain. ConclusionGiven the link between non-cardiac chest pain and frequent use of services, the degree of repeat attendance should be investigated.

Objectives. Research largely supports the clinical effectiveness of low-intensity cognitive behavioural therapy (LICBT) for mild-to-moderate anxiety and depression, delivered by psychological well-being practitioners (PWPs). Knowledge regarding the predictors of treatment response, however, is relatively limited. The primary aim of this study was to model the heterogeneity in longitudinal changes in anxiety and depression throughout LICBT provided by PWPs in Northern Ireland (NI), and to explore associations between pre-treatment variables and differences in treatment response.Methods. Growth mixture modelling (GMM) techniques were employed to examine changes in psychological status in clients (N = 253) over the first six sessions of treatment, to identify divergent early response trajectories. A series of pre-treatment variables were used to predict class membership using chi-square tests and binary logistic regression models.

These findings suggest that the IAPT service model is clinically effective in the NI population. Data collection for the larger study was completed in December 2017. Future analyses will include follow-up data collected at 4 months post-treatment, and will also aim to identify individual and service level factors that potentially impact treatment effectiveness.

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