14 research outputs found

    What work has to be done to implement collaborative care for depression? Process evaluation of a trial utilizing the Normalization Process Model

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    <p>Abstract</p> <p>Background</p> <p>There is a considerable evidence base for 'collaborative care' as a method to improve quality of care for depression, but an acknowledged gap between efficacy and implementation. This study utilises the Normalisation Process Model (NPM) to inform the process of implementation of collaborative care in both a future full-scale trial, and the wider health economy.</p> <p>Methods</p> <p>Application of the NPM to qualitative data collected in both focus groups and one-to-one interviews before and after an exploratory randomised controlled trial of a collaborative model of care for depression.</p> <p>Results</p> <p>Findings are presented as they relate to the four factors of the NPM (interactional workability, relational integration, skill-set workability, and contextual integration) and a number of necessary tasks are identified. Using the model, it was possible to observe that predictions about necessary work to implement collaborative care that could be made from analysis of the pre-trial data relating to the four different factors of the NPM were indeed borne out in the post-trial data. However, additional insights were gained from the post-trial interview participants who, unlike those interviewed before the trial, had direct experience of a novel intervention. The professional freedom enjoyed by more senior mental health workers may work both for and against normalisation of collaborative care as those who wish to adopt new ways of working have the freedom to change their practice but are not obliged to do so.</p> <p>Conclusions</p> <p>The NPM provides a useful structure for both guiding and analysing the process by which an intervention is optimized for testing in a larger scale trial or for subsequent full-scale implementation.</p

    Encapsulation of DNA and non-viral protein changes the structure of murine polyomavirus virus-like particles

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    Asymmetrical-flow field flow fractionation with multiple-angle light scattering (AFFFF-MALS) was, for the first time, used to characterize the size of murine polyomavirus virus-like particles (MPV VLPs) packaged with either insect cell genomic DNA or non-viral protein. Encapsidation of both genomic DNA and non-viral protein were found to cause a contraction in VLP radii of gyration by approximately 1 nm. Non-viral protein packaged into VLPs consisted of a series of glutathione-S-transferase, His and S tags attached to the N-terminal end of the MPV structural protein VP2 (M (r) = 67108). Transmission electron microscopy analysis of MPV VLPs packaging non-viral protein suggested that VLPs grew in diameter by approximately 5 nm, highlighting the differences between this invasive technique and the relatively non-invasive AFFFF-MALS technique. Encapsulation of non-viral protein into MPV VLPs was found to prevent co-encapsidation of genomic DNA. Further investigation into why this occurred led to the discovery that encapsulation of non-viral protein alters the nuclear localization of MPV VLPs during in vivo assembly. VLPs were relocated away from the ring zone and the nuclear membrane towards the centre of the nucleus amongst the virogenic stroma. The change in nuclear localization away from the site where VLP assembly usually occurs is a likely reason why encapsidation of genomic DNA did not take place

    Elevated temperature alters proteomic responses of individual organisms within a biofilm community.

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    Microbial communities that underpin global biogeochemical cycles will likely be influenced by elevated temperature associated with environmental change. Here, we test an approach to measure how elevated temperature impacts the physiology of individual microbial groups in a community context, using a model microbial-based ecosystem. The study is the first application of tandem mass tag (TMT)-based proteomics to a microbial community. We accurately, precisely and reproducibly quantified thousands of proteins in biofilms growing at 40, 43 and 46 °C. Elevated temperature led to upregulation of proteins involved in amino-acid metabolism at the level of individual organisms and the entire community. Proteins from related organisms differed in their relative abundance and functional responses to temperature. Elevated temperature repressed carbon fixation proteins from two Leptospirillum genotypes, whereas carbon fixation proteins were significantly upregulated at higher temperature by a third member of this genus. Leptospirillum group III bacteria may have been subject to viral stress at elevated temperature, which could lead to greater carbon turnover in the microbial food web through the release of viral lysate. Overall, these findings highlight the utility of proteomics-enabled community-based physiology studies, and provide a methodological framework for possible extension to additional mixed culture and environmental sample analyses
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