55 research outputs found

    Implementing e-learning and e-tools for care home staff supporting residents with dementia and challenging behaviour: A process evaluation of the ResCare study using normalisation process theory

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    © The Author(s) 2018. Dementia-related symptoms, sometimes termed challenging or distressing behaviour, can give rise to significant distress in care homes. Individualised formulation-led interventions show promise in reducing these behaviours. ResCare, a cluster randomised controlled trial in England, tested an online individualised intervention, comprising e-learning and decision support e-tools, designed to enable staff to better support residents with such symptoms. Normalisation process theory was used to understand the implementation processes. We analysed contextual process data for all 27 ‘intervention’ care homes and identified three implementation mechanisms. These were examined for four illustrative case study homes. Seven qualitative interviews with care home staff and one interview with two research therapists informed this understanding. The main barrier to implementation was difficulty in conveying a sustained understanding of the value of individually tailored interventions. Emphasis was placed on training rather than practice change. Implementation seemed easier in smaller homes and in those with flexible managerial styles where transfer of knowledge and skill might have been easier to achieve. Take up of e-learning and e-tools proved hard. There may be a need to continually promote ‘buy-in’ of the potential benefits of individualised formulation-led interventions, and this would have to be congruent with other priorities. Interventions within care homes need to consider organisational readiness, capacity for innovation and ongoing appraisal and adjustment to maintain changes in practice

    Does smoking status affect the likelihood of consulting a doctor about respiratory symptoms? A pilot survey in Western Australia

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    <p>Abstract</p> <p>Background</p> <p>Smokers attribute respiratory symptoms, even when severe, to everyday causes and not as indicative of ill-health warranting medical attention. The aim of this pilot study was to conduct a structured vignette survey of people attending general practice to determine when they would advise a person with respiratory symptoms to consult a medical practitioner. Particular reference was made to smoking status and lung cancer.</p> <p>Methods</p> <p>Participants were recruited from two general practices in Western Australia. Respondents were invited to complete self-administered questionnaires containing nine vignettes chosen at random from a pool of sixty four vignettes, based on six clinical variables. Twenty eight vignettes described cases with at least 5% risk of cancer. For analysis these were dubbed 'cancer vignettes'. Respondents were asked if they would advise a significant other to consult a doctor with their respiratory symptoms. Logistic regression and non-parametric tests were used to analyse the data.</p> <p>Results</p> <p>Three hundred questionnaires were distributed and one hundred and forty completed responses were collected over six weeks. The majority (70.3%) of respondents were female aged forty and older. A history of six weeks' of symptoms, weight loss, cough and breathlessness independently increased the odds of recommending a consultation with a medical practitioner by a factor of 11.8, 2.11, 1.40 and 4.77 respectively. A history of smoking independently increased the odds of the person being thought 'likely' or 'very likely' to have cancer by a factor of 2.46. However only 32% of cancer vignettes with a history of cigarette smoking were recognised as presentations of possible cancer.</p> <p>Conclusion</p> <p>Even though a history of cigarette smoking was more likely to lead to the suggestion that a symptomatic person may have cancer we did not confirm that smokers would be more likely to be advised to consult a doctor, even when presenting with common symptoms of lung cancer.</p

    Guidance for Researchers: Feedback : Patient and Public Involvement (PPI): Feedback from Researchers to PPI Contributors

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    © 2018 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited

    ‘We’re passengers sailing in the same ship, but we have our own berths to sleep in’: Evaluating patient and public involvement within a regional research programme: An action research project informed by Normalisation Process Theory

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    © 2019 Keenan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Background: Patient and public involvement (PPI) is a requirement for UK health and social care research funding. Evidence for how best to implement PPI in research programmes, such as National Institute for Health Research (NIHR) Collaborations for Applied Health Research and Care (CLAHRCs), remains limited. This paper reports findings from an action research (AR) project called IMPRESS, which aims to strengthen PPI within CLAHRC East of England (EoE). IMPRESS combines AR with Normalisation Process Theory (NPT) to explore PPI within diverse case study projects, identifying actions to implement, test and refine to further embed PPI.Methods:We purposively selected CLAHRC EoE case study projects for in-depth analysis of PPI using NPT. Data were generated from project PPI documentation, semi-structured qualitative interviews with researchers and PPI contributors and focus groups. Transcripts and documents were subjected to abductive thematic analysis and triangulation within case. Systematic across case comparison of themes was undertaken with findings and implications refined through stakeholder consultation.Results:We interviewed 24 researchers and 13 PPI contributors and analysed 28 documents from 10 case studies. Three focus groups were held: two with researchers (n = 4 and n = 6) and one with PPI contributors (n = 5). Findings detail to what extent projects made sense of PPI, bought in to PPI, operationalised PPI and appraised it, thus identifying barriers and enablers to fully embedded PPI.Conclusion:Combining NPT with AR allows us to assess the embeddedness of PPI within projects and programme, to inform specific local action and report broader conceptual lessons for PPI knowledge and practice informing the development of an action framework for embedding PPI in research programmes. To embed PPI within similar programmes teams, professionals, disciplines and institutions should be recognised as variably networked into existing PPI support. Further focus and research is needed on sharing PPI learning and supporting innovation in PPI.Peer reviewedFinal Published versio

    How embedded is public involvement in mainstream health research in England a decade after policy implementation? A realist evaluation

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    Objectives: To explore how embedded patient and public involvement (PPI) is within mainstream health research following two decades of policy-driven work to underpin health research with PPI in England. Methods: Realist evaluation using Normalization Process Theory as a programme theory to understand what enabled PPI to be embedded as normal practice. Data was collected through a national scoping and survey, and qualitative methods to track PPI processes and impact over time within 22 nationally funded research projects. Results: In research studies that were able to create reciprocal working relationships and to embed PPI this was contingent on: the purpose of PPI being clear; public contributors reflecting research end-beneficiaries; researchers understanding the value of PPI; PPI opportunities being provided throughout the research; and ongoing evaluation of PPI. Key contested areas included: whether to measure PPI impact; seeking public contributors to maintain a balance between being research-aware and an outsider standpoint seen as ‘authentically’ lay; scaling-up PPI embedded within a research infrastructure rather than risk token presence ; and whether PPI can have a place within basic science. Conclusion: While PPI can be well-integrated within all types of research, policy makers should take account of tensions that must be navigated in balancing the moral and methodological imperatives

    High correlation of the proteome patterns in bone marrow and peripheral blood blast cells in patients with acute myeloid leukemia

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    <p>Abstract</p> <p>Background</p> <p>When comparing myelogenous blasts from bone marrow and peripheral blood, immunophenotyping usually show a strong correlation of expression of surface antigens. However, it remains to be determined, whether this correlation also exists on the level of protein expression.</p> <p>Method</p> <p>Therefore, we investigated both bone marrow and peripheral blood blast cells from six patients with newly diagnosed acute myeloid leukemia (AML) using conventional two-dimensional electrophoresis in the first dimension and linear polyacrylamide gels (12%) in the second dimension. Proteins were visualized using the silver staining method and image analysis was performed using the PDQuest system.</p> <p>Results</p> <p>For each patient over 80 proteins were evaluated in the sample from peripheral blood and bone marrow. We could demonstrate that the protein expression profile of bone marrow did not significantly differ from the expression patterns of peripheral blast cells.</p> <p>Conclusion</p> <p>The proteome-set of leukemic blast cells from marrow and blood, does not differ substantially when drawn from AML patients with over 80 percent blast cells in both compartments. This indicates that in AML, blasts from peripheral blood samples can be considered suitable for investigations of the proteome using 2D-electrophoresis.</p

    Abstracts from the NIHR INVOLVE Conference 2017

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