17 research outputs found

    Barriers to the sustainability of an intervention designed to improve patient engagement within NHS mental health rehabilitation units: a qualitative study nested within a randomised controlled trial.

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    BACKGROUND: We undertook a cluster randomised controlled trial to assess the effectiveness of a staff training intervention to improve patient engagement in activities in inpatient mental health rehabilitation units. Concurrently, we undertook a qualitative study to investigate the experiences of staff within the intervention units and the contextual issues that may have influenced the effectiveness of the intervention. METHOD: We conducted focus groups with staff working in the inpatient units that received the intervention, sampled using a maximum variation strategy. RESULTS: The intervention was accepted by staff. However, the skills gained, and changes to the unit's processes and structures that were agreed with the intervention team were not sustained after they left. The main reasons for this were a) external factors (economic recession, resource limitations); b) organisation level factors (lack of senior staff support; competing priorities); c) limitations of the intervention itself (length of intensive training period; reinforcement of skills). CONCLUSION: This study illustrates some of the inter-related factors which operate at different levels within and outside of NHS organisations that may impact on the success of complex interventions. These factors need to be considered when designing interventions to ensure adequate buy-in from senior staff. TRIAL REGISTRATION: Current Controlled Trials ISRCTN25898179 (Registered 23 April 2010)

    Advancing Aquatic Ecosystem-Based Management with Full Consideration of the Social-Ecological System

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    In this study we present an integrated Ecosystem-Based Management (EBM) approach that attempts to reconcile several concepts including integratedecosystem assessment (IEA), marine spatial planning, resilience thinking, and complex adaptive systems. The approach builds on the IEA process but enhances it by explicitly considering the full social-ecological system (SES) and the creation of ageneric framework for assessment of ecosystem status and management strategyevaluation
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