8,454 research outputs found

    Evidence-based deprescribing: reversing the tide of potentially inappropriate polypharmacy

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    • Objective: To review the adverse drug events (ADEs) risk of polypharmacy; the process of deprescribing and evidence of efficacy in reducing inappropriate polypharmacy; the enablers and barriers to deprescribing; and patient and system of care level strategies that can be employed to enhance deprescribing. • Methods: Literature review. • Results: Inappropriate polypharmacy, especially in older people, imposes a significant burden of ADEs, ill health, disability, hospitalization and even death. The single most important predictor of inappropriate prescribing and risk of ADEs in older patients is the number of prescribed medicines. Deprescribing is the process of systematically reviewing, identifying, and discontinuing potentially inappropriate medicines (PIMs), aimed at minimizing polypharmacy and improving patient outcomes. Evidence of efficacy for deprescribing is emerging from randomized trials and observational studies, and deprescribing protocols have been developed and validated for clinical use. Barriers and enablers to deprescribing by individual prescribers center on 4 themes: (1) raising awareness of the prevalence and characteristics of PIMs; (2) overcoming clinical inertia whereby discontinuing medicines is seen as being a low value proposition compared to maintaining the status quo; (3) increasing skills and competence (self-efficacy) in deprescribing; and (4) countering external and logistical factors that impede the process. • Conclusion: In optimizing the scale and effects of deprescribing in clinical practice, strategies that promote depresribing will need to be applied at both the level of individual patient-prescriber encounters and systems of care

    « Malthus in, Malthus out? »

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    In this paper, we analyse the world model which represents the most ambitious attempt yet to bring together six great forecasts comprising population, resource depletion, food supply, capital investment, pollution and space. We wish to show on the one hand that the model has serious limitations and, on the other, that many different conclusions can be arrived at with this kind of study.

    Nonparametric 3D map of the IGM using the Lyman-alpha forest

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    Visualizing the high-redshift Universe is difficult due to the dearth of available data; however, the Lyman-alpha forest provides a means to map the intergalactic medium at redshifts not accessible to large galaxy surveys. Large-scale structure surveys, such as the Baryon Oscillation Spectroscopic Survey (BOSS), have collected quasar (QSO) spectra that enable the reconstruction of HI density fluctuations. The data fall on a collection of lines defined by the lines-of-sight (LOS) of the QSO, and a major issue with producing a 3D reconstruction is determining how to model the regions between the LOS. We present a method that produces a 3D map of this relatively uncharted portion of the Universe by employing local polynomial smoothing, a nonparametric methodology. The performance of the method is analyzed on simulated data that mimics the varying number of LOS expected in real data, and then is applied to a sample region selected from BOSS. Evaluation of the reconstruction is assessed by considering various features of the predicted 3D maps including visual comparison of slices, PDFs, counts of local minima and maxima, and standardized correlation functions. This 3D reconstruction allows for an initial investigation of the topology of this portion of the Universe using persistent homology
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