3,005 research outputs found

    A scoping review of the current literature exploring the nature of the horse-human relationship

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    Objective: To perform a scoping review of the current evidence on the horse-human relationship.Background: The horse-human relationship has a significant impact on how horse owners care for and make decisions for their horse.Evidentiary value: Identification of consensus and gaps in current evidence.Methods: A literature search was performed in CAB Abstracts and Medline using search terms relating to the nature of the horse-human relationship in horses used for pleasure riding. Publications were reviewed against inclusion and exclusion criteria. Original qualitative or observational research studies relating to the relationship between a horse and owner were analysed. Data were extracted on study method and population characteristics.Results: There were 4,481 studies identified; 27 studies were included in the final data extraction. The studies covered 11 different areas, the most frequent were effect of humans on equine behaviour (5/27), equine training methods and behaviour (4/27) and horses within sport and leisure (4/27). A range of methodologies were used, with the most frequent being thematic analysis (6/27 studies), use of an instrument, tool or scale (3/27) and behavioural scoring (4/27). The majority of studies considered the human’s perspective (20/27), six considered the horse perspective and one considered both the horse and human perspective. No studies investigated the same or similar aims or objectives.Conclusion: The current evidence on the horse-human relationship is diverse and heterogenous, which limits the strength of evidence for any particular area.Application: Future research should focus on developing reliable and repeatable tools to assess owner motivations and horse-human relationship, to develop a body of evidence

    Prescription Drug Monitoring Program Utilization in Kentucky Community Pharmacies

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    OBJECTIVE: Identify characteristics of Kentucky community pharmacists and community pharmacists\u27 practice environment associated with utilization of the Kentucky All Schedule Prescription Electronic Reporting Program (KASPER). METHODS: Surveys were mailed to all 1,018 Kentucky pharmacists with a KASPER account and an additional 1,000 licensed pharmacists without an account. Bivariate analyses examined the association between KASPER utilization and practice type (independent or chain) and practice location (rural or urban). A multivariate Poisson regression model with robust error variance estimated risk ratios (RR) of KASPER utilization by characteristics of pharmacists\u27 practice environment. RESULTS: Responses were received from 563 pharmacists (response rate 27.9%). Of these, 402 responses from community pharmacists were included in the analyses. A majority of responding pharmacists (84%) indicated they or someone in their pharmacy had requested a patient\u27s controlled substance history since KASPER\u27s inception. Bivariate results showed that pharmacists who practiced in independent pharmacies reported greater KASPER utilization (94%) than pharmacists in chain pharmacies (75%; p CONCLUSION: Utilization of KASPER differs by community pharmacists\u27 practice environment, predominantly by practice type and location. Understanding characteristics of community pharmacists and community pharmacists\u27 practice environment associated with PDMP use is necessary to remove barriers to access and increase utilization thereby increasing PDMP effectiveness

    UC-508 Memories: Echoes of Resilience

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    Memories: Echoes of Resilience is a first-person narrative experience that takes players through different experiences of a boy with autism. The game aims to show how everyday interactions can be different to someone with autism. Experiences such as making friends in school, being in overstimulating environments, or managing adult life are experiences we want to simulate for the player. The player will be able to interact with the world around them but will also have to be aware of how their environment impacts them, so they don’t become overstimulated

    Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research

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    Health informatics can inform decisions that practitioners, patients, policymakers, and researchers need to make about health and disease. Health informatics is built upon patient health data leading to the need to codify patient health information. Such standardization is required to compute population statistics (such as prevalence, incidence, etc.) that are common metrics used in fields such as epidemiology. Reliable decision-making about health and disease rests on our ability to organize, analyze, and assess data repositories that contain patient health data. While standards exist to structure and analyze patient data across patient data sources such as health information exchanges, clinical data repositories, and health data marketplaces, analogous best practices for rigorously defining patient populations in health informatics contexts do not exist. Codifying best practices for developing disease definitions could support the effective development of clinical guidelines, inform algorithms used in clinical decision support systems, and additional patient guidelines. In this paper, we present a workflow for the development of phenotype definitions. This workflow presents a series of recommendations for defining health and disease. Various examples within this paper are presented to demonstrate this workflow in health informatics contexts.Comment: IEEE Computer Based Medical Systems Conferenc

    The effects of communicating uncertainty around statistics, on public trust

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    Uncertainty around statistics is inevitable. However, communicators of uncertain statistics, particularly in high-stakes and potentially political circumstances, may be concerned that presenting uncertainties could undermine the perceived trustworthiness of the information or its source. In a large survey experiment (Study 1; N = 10 519), we report that communicating uncertainty around present COVID-19 statistics in the form of a numeric range (versus no uncertainty) may lead to slightly lower perceived trustworthiness of the number presented but has no impact on perceived trustworthiness of the source of the information. We also show that this minimal impact of numeric uncertainty on trustworthiness is also present when communicating future, projected COVID-19 statistics (Study 2; N = 2,309). Conversely, we find statements about the mere existence of uncertainty, without quantification, can reduce both perceived trustworthiness of the numbers and of their source. Our findings add to others suggesting that communicators can be transparent about statistical uncertainty without undermining their credibility as a source but should endeavour to provide a quantification, such as a numeric range, where possible.</p

    The effects of communicating uncertainty around statistics, on public trust

    Get PDF
    Uncertainty around statistics is inevitable. However, communicators of uncertain statistics, particularly in high-stakes and potentially political circumstances, may be concerned that presenting uncertainties could undermine the perceived trustworthiness of the information or its source. In a large survey experiment (Study 1; N = 10 519), we report that communicating uncertainty around present COVID-19 statistics in the form of a numeric range (versus no uncertainty) may lead to slightly lower perceived trustworthiness of the number presented but has no impact on perceived trustworthiness of the source of the information. We also show that this minimal impact of numeric uncertainty on trustworthiness is also present when communicating future, projected COVID-19 statistics (Study 2; N = 2,309). Conversely, we find statements about the mere existence of uncertainty, without quantification, can reduce both perceived trustworthiness of the numbers and of their source. Our findings add to others suggesting that communicators can be transparent about statistical uncertainty without undermining their credibility as a source but should endeavour to provide a quantification, such as a numeric range, where possible.</p
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