8 research outputs found

    Setting Up and Running Online Communities of Practice (CoPs) for Veterinary Educators

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    Communities of practice (CoPs) are social systems consisting of individuals who come together to share knowledge and solve problems around a common interest. For educators, membership of a CoP can facilitate access to expertise and professional development activities and generate new collaborations. This teaching tip focuses on online CoPs and provides tips for setting up and running such communities. The initial planning phase involves establishing the purpose of the CoP, recruiting an administrative team, designing the structure of the online environment, and choosing a platform. Once the online platform is launched, running the CoP involves building the membership, encouraging engagement (primarily in discussion forums), finding ways to create and share useful resources, and sustaining the community as an active and effective CoP. We also describe a specific example of an online CoP for veterinary educators involved in clinical skills teaching. The membership has grown to represent an international community who engage in a range of activities including sharing knowledge, tips and ideas, asking questions, discussing challenges and promoting collaborative activities

    Colorectal surveillance outcomes from an institutional longitudinal cohort of lynch syndrome carriers

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    ObjectiveLynch Syndrome (LS) carriers have a significantly increased risk of developing colorectal cancer (CRC) during their lifetimes. Further stratification of this patient population may help in identifying additional risk factors that predispose to colorectal carcinogenesis. In most LS patients CRC may arise from adenomas, although an alternative non-polypoid carcinogenesis pathway has been proposed for PMS2 carriers. Using data from our institutional LS cohort, our aim was to describe our current colorectal screening outcomes with a focus on the incidence of adenomas in the context of different MMR genotypes and patient demographics such as gender, race, and ethnicity.DesignWe collected demographics, genetic, colonoscopy, and pathology results from a total of 163 LS carriers who obtained regular screening care at MD Anderson Cancer Center. Data were extracted from the electronic health records into a REDCap database for analysis. Logistic regressions were performed to measure the association between MMR variants and the likelihood of adenomas, advanced adenomas, and CRC. Then, we analyzed the cumulative incidences of these outcomes for the first 36 months following enrollment using Kaplan-Meier incidence curves, and Cox proportional hazard regressions.ResultsOn multivariate analysis, age (≥45 years old) was associated with an increased risk of developing adenomas (P=0.034). Patients with a prior or active cancer status were less likely to develop adenomas (P=0.015), despite of the lack of association between surgical history with this outcome (P=0.868). We found no statistically significant difference in likelihood of adenoma development between MLH1 and MSH2/EPCAM, MSH6, and PMS2 carriers. Moreover, we observed no statistically significant difference in the likelihood of advanced adenomas or CRC for any measured covariates. On Cox proportional hazard, compared to MLH1 carriers, the incidence of adenomas was highest among MSH2/EPCAM carriers during for the first 36-months of follow-up (P<0.001). We observed a non-statistically significant trend for Hispanics having a higher and earlier cumulative incidence of adenomas compared to non-Hispanics (P=0.073). No MMR carrier was more likely to develop advanced adenomas. No difference in the incidence of CRC by MMR gene (P=0.198).ConclusionScreening recommendations for CRC in LS patients should be based on specific MMR variants and should also be tailored to consider patient demographics

    ADVANCING to Full: A Panel Discussion (2013)

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    This popular panel discussion helps faculty understand and prepare for the promotion and tenure process, and to inform development of their application portfolio. University of Maine faculty who have successfully navigated the promotion and tenure processes offer their best advice and strategies for advancement.https://digitalcommons.library.umaine.edu/risingtide_videos/1003/thumbnail.jp

    Data from: The ecological importance of intraspecific variation

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    Human activity is causing wild populations to experience rapid trait change and local extirpation. The resulting effects on intraspecific variation could have substantial consequences for ecological processes and ecosystem services. Although researchers have long acknowledged that variation among species influences the surrounding environment, only recently has evidence accumulated for the ecological importance of variation within species. We conducted a meta-analysis comparing the ecological effects of variation within a species (intraspecific effects) with the effects of replacement or removal of that species (species effects). We evaluated direct and indirect ecological responses, including changes in abundance (or biomass), rates of ecological processes and changes in community composition. Our results show that intraspecific effects are often comparable to, and sometimes stronger than, species effects. Species effects tend to be larger for direct ecological responses (for example, through consumption), whereas intraspecific effects and species effects tend to be similar for indirect responses (for example, through trophic cascades). Intraspecific effects are especially strong when indirect interactions alter community composition. Our results summarize data from the first generation of studies examining the relative ecological effects of intraspecific variation. Our conclusions can help inform the design of future experiments and the formulation of strategies to quantify and conserve biodiversity

    Supplementary Meta-analysis Data for Des Roches et al.

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    List of studies, characteristics of experimental design, response variables measured, and summary statistics (mean, standard deviations, sample sizes) from which effect sizes were calculated
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