27 research outputs found

    A Multi-Population FA for Automatic Facial Emotion Recognition

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    Automatic facial emotion recognition system is popular in various domains such as health care, surveillance and human-robot interaction. In this paper we present a novel multi-population FA for automatic facial emotion recognition. The overall system is equipped with horizontal vertical neighborhood local binary patterns (hvnLBP) for feature extraction, a novel multi-population FA for feature selection and diverse classifiers for emotion recognition. First, we extract features using hvnLBP, which are robust to illumination changes, scaling and rotation variations. Then, a novel FA variant is proposed to further select most important and emotion specific features. These selected features are used as input to the classifier to further classify seven basic emotions. The proposed system is evaluated with multiple facial expression datasets and also compared with other state-of-the-art models

    Sleep disturbance in dementia or mild cognitive impairment: a realist review of general practice

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    Background: Sleep disturbance (SD) is a prevalent condition among people living with dementia (PLwD) or mild cognitive impairment (MCI). Its assessment and management within primary care is complex due to the comorbidities, older age and cognitive impairment typical of this patient group. Aim: This study aimed to explore how primary care clinicians assess, understand, and manage SD for PLwD or MCI; if and why such initiatives work; and how people and their carers experience SD and its treatment. Design and setting: A realist review of existing literature was conducted in 2022. Methods: Six bibliographic databases were searched. Context-Mechanism-Outcome Configurations (CMOCs) were developed and refined. Results: Sixty records were included from 1,869 retrieved hits and 19 CMOCs were developed. Low awareness of and confidence in the treatment of SD among primary care clinicians and service users, combined with time and resource constraints, meant that identifying SD was difficult and not prioritised. Medication was perceived by clinicians and service users as the primary management tool, resulting in inappropriate or long-term prescription. Rigid nursing routines in care homes were reportedly not conducive to good quality sleep. Conclusion: In primary care, SD among PLwD or MCI is not adequately addressed. Over-reliance on medication, under-utilisation of non-pharmacological strategies, and inflexible care home routines were reported due to low confidence and resource constraints. This does not constitute effective and person-centred care. Future work should consider ways to tailor the assessment and management of SD to the needs of individuals and their informal carers without overstretching services

    What really is nontokenistic fully inclusive patient and public involvement/engagement in research?

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    Patient and public involvement and engagement (PPIE) is critically important in healthcare research. A useful starting point for researchers to understand the scope of PPIE is to review the definition from the National Institute for Health and Care Research (NIHR) as, 'research being carried out "with" or "by" members of the public rather than "to", "about" or "for" them'. PPIE does not refer to participation in research, but to actively shaping its direction. The 'Effectiveness of a decision support tool to optimise community-based tailored management of sleep for people living with dementia or mild cognitive impairment (TIMES)' study is funded through the NIHR programme grant for applied research. TIMES has thoroughly embraced PPIE by ensuring the person's voice is heard, understood, and valued. This editorial showcases how the TIMES project maximised inclusivity, and we share our experiences and top tips for other researchers. We base our reflections on the six key UK standards for public involvement; Inclusive Opportunities, Working Together, Support and Learning, Communications, Impact and Governance. We present our work, which had been co-led by our PPIE leads, academics and partners including, together in dementia everyday, Innovations in Dementia, The UK Network of Dementia Voices (Dementia Engagement & Empowerment Project) and Liverpool Chinese Wellbeing. We have a Lived Experience Advisory Forum on Sleep, which includes people with dementia, family carers, representatives of the South Asian Community and the Chinese community

    Social prescribing for people living with dementia (PLWD) and their carers: what works, for whom, under what circumstances and why – protocol for a complex intervention systematic review

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    Introduction: Dementia is a complex medical condition that poses significant challenges to healthcare systems and support services. People living with dementia (PLWD) and their carers experience complex needs often exacerbated by social isolation and challenges in accessing support. Social prescribing (SP) seeks to enable PLWD and their carers to access community and voluntary sector resources to support them address such needs. Existing research, however, does not describe what SP interventions are currently in place in dementia care. Little is known about the needs these interventions are designed to address, the reasons that lead PLWD and their carers to participate in them, their effectiveness and the extent to which they could increase positive health outcomes if adopted and how. Methods and analysis: A complex intervention systematic review of SP for PLWD and/or their carers will be conducted using an iterative logic model approach. Six electronic (MEDLINE, EMBASE, PsycINFO, CINAHL, Scopus and Cochrane/CENTRAL) and two grey literature databases (EThOS and CORE) were searched for publications between 1 January 2003 and June 2023, supplemented by handsearching of reference lists of included studies. Study selection, data extraction and risk of bias assessment, using Gough’s Weight of Evidence Framework, will be independently performed by two reviewers. A narrative approach will be employed to synthesise and report quantitative and qualitative data. Reporting will be informed by the Preferred Reporting Items for Systematic Review and Meta-Analysis Complex Interventions extension statement and checklist. Ethics and dissemination: No ethical approval is required due to this systematic review operating only with secondary sources. Findings will be disseminated through peer-reviewed publications, conference presentations and meetings with key stakeholders including healthcare professionals, patient and carer groups, community organisations (eg, the Social Prescribing Network and the Evidence Collaborative at the National Academy for Social Prescribing), policymakers and funding bodies

    Understanding primary care diagnosis and management of sleep disturbance for people with dementia or mild cognitive impairment: a realist review protocol

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    INTRODUCTION: The increasingly ageing population is associated with greater numbers of people living with dementia (PLwD) and mild cognitive impairment (MCI). There are an estimated 55 million PLwD and approximately 6% of people over 60 years of age are living with MCI, with the figure rising to 25% for those aged between 80 and 84 years. Sleep disturbances are common for this population, but there is currently no standardised approach within UK primary care to manage this. Coined as a 'wicked design problem', sleep disturbances in this population are complex, with interventions supporting best management in context. METHODS AND ANALYSIS: The aim of this realist review is to deepen our understanding of what is considered 'sleep disturbance' in PLwD or MCI within primary care. Specifically, we endeavour to better understand how sleep disturbance is assessed, diagnosed and managed. To co-produce this protocol and review, we have recruited a stakeholder group comprising individuals with lived experience of dementia or MCI, primary healthcare staff and sleep experts. This review will be conducted in line with Pawson's five stages including the development of our initial programme theory, literature searches and the refinement of theory. The Realist and Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) quality and reporting standards will also be followed. The realist review will be an iterative process and our initial realist programme theory will be tested and refined in response to our data searches and stakeholder discussions. ETHICS AND DISSEMINATION: Ethical approval is not required for this review. We will follow the RAMESES standards to ensure we produce a complete and transparent report. Our final programme theory will help us to devise a tailored sleep management tool for primary healthcare professionals, PLwD and their carers. Our dissemination strategy will include lay summaries via email and our research website, peer-reviewed publications and social media posts. PROSPERO REGISTRATION NUMBER: CRD42022304679

    Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

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    IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

    Improving the Quality of Patient Care and Healthcare Staff Well-Being through an Empathy Immersion Educational Programme in New Zealand: Protocol of a Feasibility and Pilot Study

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    Empathy is positively related to healthcare workers and patients’ wellbeing. There is, however, limited research on the effects of empathy education delivered in acute clinical settings and its impact on healthcare consumers. This research tests the feasibility and the potential efficacy outcomes of an immersive education programme developed by the research team in collaboration with clinical partners and a multidisciplinary advisory group. Healthcare worker participants in the intervention ward will receive an 8-week immersive empathy education. The primary outcome (feasibility) will be assessed by evaluating the acceptability of the intervention and the estimated resources. The secondary outcome (efficacy) will be assessed using a quasi-experimental study design. Non-parametric tests will be used to test healthcare worker participants’ empathy, burnout, and organisational satisfaction (within-group and across groups), and healthcare consumer participants’ satisfaction (between-group) over time. Despite growing interest in the importance of empathy in professional relationships, to our knowledge, the present pilot study is the first to explore the feasibility and efficacy of an immersive empathy education in New Zealand. Our findings will provide critical evidence to support the development of a randomised cluster trial and potentially provide preliminary evidence for the effectiveness of this type of empathy education

    Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)

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    This paper describes the accepted entries to the seventh Playable Experiences track to be held at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19). The Playable Experiences track showcases innovative complete works that are informed, inspired, or otherwise enabled by artificial intelligence.status: publishe

    Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)

    No full text
    This paper describes the accepted entries to the seventh Playable Experiences track to be held at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19). The Playable Experiences track showcases innovative complete works that are informed, inspired, or otherwise enabled by artificial intelligence
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