432 research outputs found

    How has my learning enabled me to create and share an animated video to assist newly qualified teachers in the creation of a safe critical space for their students?

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    This paper presents my emergent living theory as it developed while I attempted to address my concern “How has my learning enabled me to create and share an animated video to assist Newly Qualified Teachers in the creation of a safe critical space for their students?” I explore how my learning on the Masters in Education and Training Management (e-learning) has affected me both personally and professionally and how my learning has impacted the learning of others. In particular, I look at the role of critical pedagogy as it impacted my development of the video. I document the creation and distribution of an animated video using the State package by Xtranormal, through one action reflection cycle. I claim that through the use of an animated educational video, NQTs may engage critically with classroom management and in so doing improve their practice so that they can facilitate critical discourse among their students in a safe environment

    Mental health and Psychosocial Support and Social and Emotional Learning support for Learning Outcomes in Conflict-Affected Settings

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    This rapid review synthesises findings on the importance of provision of mental health and psychosocial support interventions (MHPSS) and social and emotional learning (SEL) support for protecting or promoting the general psychosocial wellbeing of individuals and the treatment of more serious mental health issues, particularly in conflict or post-conflict situations. In conducting the literature search for this report, several papers which discuss how education can have a positive impact on psychosocial wellbeing were identified. However, the evidence showing the link in the other direction - on the effect of psychosocial support interventions on education outcomes - is sparse. Of the three studies identified which do attempt to show this link between MHPSS and education, one measured school attendance and classroom behaviour only (not learning), while another included academic performance as one element of a multi-component ‘school wellbeing’ metric. It was therefore impossible to ascertain the extent to which the programme had actually improved learning. The third study identified no effect of the intervention on education outcomes. It is therefore impossible to draw any conclusions about MHPSS and their effects on learning other than that a research link may have been established, which is based on evidence from a small number of studies, and often using less objectively verifiable research methods such as self-reported feedback or qualitative interviewing. The review finds body of evidence indicating direct links between SEL and learning is more established than MHPSS; however, given the context-specific nature of both MHPSS and SEL it will not be sufficient to rely on this body of evidence alone. Therefore, there is learning to be had from the US-based studies and the small number of LMICs studies which do exist and can draw a clear link between SEL and learning outcomes. However, further empirical research is needed in order to understand if and how such programmes will work in conflict-affected settings. Aber et al. (2016a; 2016b) makes a useful first step with this but more evidence is required in order to ensure the benefits are transferable

    Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks

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    We present a new representation learning framework, Intensity Profile Projection, for continuous-time dynamic network data. Given triples (i,j,t)(i,j,t), each representing a time-stamped (tt) interaction between two entities (i,ji,j), our procedure returns a continuous-time trajectory for each node, representing its behaviour over time. The framework consists of three stages: estimating pairwise intensity functions, e.g. via kernel smoothing; learning a projection which minimises a notion of intensity reconstruction error; and constructing evolving node representations via the learned projection. The trajectories satisfy two properties, known as structural and temporal coherence, which we see as fundamental for reliable inference. Moreoever, we develop estimation theory providing tight control on the error of any estimated trajectory, indicating that the representations could even be used in quite noise-sensitive follow-on analyses. The theory also elucidates the role of smoothing as a bias-variance trade-off, and shows how we can reduce the level of smoothing as the signal-to-noise ratio increases on account of the algorithm `borrowing strength' across the network.Comment: 37 pages, 10 figure

    'You can't fix this in six months': The intersectionality of women's substance use in the Irish context

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    The aim of this research was to explore the experiences and support, and intervention needs of women who are dealing with multiple issues, including problem substance use, with a view to gaining an in-depth understanding of women’s life experiences, substance use trajectories and how these relate to factors such as motherhood, poverty, social exclusion, residency status, domestic violence, transactional sex, homelessness and incarceration. The objectives of the research were to: Explore the lived experiences of women with substance use and intersectional aspects, including their engagement with services. Define the unique gendered support needs and service pathways for women. Inform future Irish drug policy and service pathways. The study was funded under the Irish Research Council New Foundations programme that supports academic and non-governmental organisations (NGO) partnerships in order to address critical issues emerging within the Irish context.Irish Research Counci

    Acute hospital dementia care: results from a national audit

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    Background: Admission to an acute hospital can be distressing and disorientating for a person with dementia, and is associated with decline in cognitive and functional ability. The objective of this audit was to assess the quality of dementia care in acute hospitals in the Republic of Ireland. Methods: Across all 35 acute public hospitals, data was collected on care from admission through discharge using a retrospective chart review (n = 660), hospital organisation interview with senior management (n = 35), and ward level organisation interview with ward managers (n = 76). Inclusion criteria included a diagnosis of dementia, and a length of stay greater than 5 days. Results: Most patients received physical assessments, including mobility (89 %), continence (84 %) and pressure sore risk (87 %); however assessment of pain (75 %), and particularly functioning (36 %) was poor. Assessment for cognition (43 %) and delirium (30 %) was inadequate. Most wards have access at least 5 days per week to Liaison Psychiatry (93 %), Geriatric Medicine (84 %), Occupational Therapy (79 %), Speech & Language (81 %), Physiotherapy (99 %), and Palliative Care (89 %) Access to Psychology (9 %), Social Work (53 %), and Continence services (34 %) is limited. Dementia awareness training is provided on induction in only 2 hospitals, and almost half of hospitals did not offer dementia training to doctors (45 %) or nurses (48 %) in the previous 12 months. Staff cover could not be provided on 62 % of wards for attending dementia training. Most wards (84 %) had no dementia champion to guide best practice in care. Discharge planning was not initiated within 24 h of admission in 72 % of cases, less than 40 % had a single plan for discharge recorded, and 33 % of carers received no needs assessment prior to discharge. Length of stay was significantly greater for new discharges to residential care (p < .001). Conclusion: Dementia care relating to assessment, access to certain specialist services, staffing levels, training and support, and discharge planning is sub-optimal, which may increase the risk of adverse patient outcomes and the cost of acute care. Areas of good practice are also highlighted

    Text messaging to help women with overweight or obesity lose weight after childbirth:the intervention adaptation and SMS feasibility RCT

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    Background There is a need to develop weight management interventions that fit seamlessly into the busy lives of women during the postpartum period. Objective The objective was to develop and pilot-test an evidence- and theory-based intervention, delivered by short message service, which supported weight loss and weight loss maintenance in the postpartum period. Design Stage 1 involved the development of a library of short message service messages to support weight loss and weight loss maintenance, with personal and public involvement, focusing on diet and physical activity with embedded behaviour change techniques, and the programming of a short message service platform to allow fully automated intervention delivery. Stage 2 comprised a 12-month, single-centre, two-arm, pilot, randomised controlled trial with an active control. Setting This study was set in Northern Ireland; women were recruited via community-based approaches. Participants A total of 100 women with overweight or obesity who had given birth in the previous 24 months were recruited. Interventions The intervention group received an automated short message service intervention about weight loss and weight loss maintenance for 12 months. The active control group received automated short message service messages about child health and development for 12 months. Main outcome measures The main outcomes measured were the feasibility of recruitment and retention, acceptability of the intervention and trial procedures, and evidence of positive indicative effects on weight. Weight, waist circumference and blood pressure were measured by the researchers; participants completed a questionnaire booklet and wore a sealed pedometer for 7 days at baseline, 3, 6, 9 and 12 months. Outcome assessments were collected during home visits and women received a voucher on completion of each of the assessments. Qualitative interviews were conducted with women at 3 and 12 months, to gather feedback on the intervention and active control and the study procedures. Quantitative and qualitative data were used to inform the process evaluation and to assess fidelity, acceptability, dose, reach, recruitment, retention, contamination and context. Results The recruitment target of 100 participants was achieved (intervention, n = 51; control, n = 49); the mean age was 32.5 years (standard deviation 4.3 years); 28 (28%) participants had a household income o

    Detection and prevention of adverse drug reactions in multi-morbid older patients

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    Adverse drug reactions (ADRs) are a recognised unintentional form of iatrogenic harm, which commonly occur in older adults who have high levels of multi-morbidity and associated polypharmacy. Previous studies estimate that at least one in 10 hospitalised older patients will experience an ADR. While recent research indicates that this could be as high as 39% in hospitalised multi-morbid, older adults, up to two-thirds of these ADRs can be considered preventable and therefore potentially avoidable. In addition to increasing patient morbidity and contributing to avoidable mortality, there is an associated cost implication with ADR occurrence. This commentary summarises current mainstream research in terms of ADR detection, prediction and prevention in multi-morbid older patients. At present, the biggest barrier to understanding and comparing ADRs in the literature is the large heterogeneity that exists in the population and study methods. Furthermore, there is the lack of standardised universally accepted methodology for ADR prediction, detection, causality assessment and subsequent prevention in older people. Standard available methods of ADR prediction applied to a heterogeneous multi-morbid population are generally unsatisfactory. Without an instrument that consistently and reliably predicts ADR risk in a reproducible manner, ADR prevention in multi-morbid older patients is challenging. Further attention should be focused on the culprit drugs that commonly lead to major ADRs in older multi-morbid hospitalised patients with polypharmacy. Risk associated with particular drug classes may possibly predict ADR occurrence better than patient characteristics alone. Current research is examining this drug class focus for ADR prevention in multi-morbid older people
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