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Epidemiology of non‐deferrable medical conditions in primary care in Italy

机译:意大利初级保健中非转化医疗条件的流行病学

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Abstract Non‐deferrable medical conditions (NDMC) are clinical entities other than exacerbations of chronic diseases which are too frequently managed by emergency departments. The primary care setting would be indeed the ideal environment to proficiently treat them. Few studies have investigated the epidemiology of NDMC in primary care, especially in Italy. With the aim to better identify NDMC sufferers, we assessed the accuracy of the NDMC definition by means of four algorithms, featured by different specificities and sensitivities. Four algorithms, based on the hierarchical definition of NDMC, were developed to calculate the incidence rate of NDMC in 2014. Each was tested using a Cox univariate model adjusted for gender, comparing patients aged 45?years old with older patients. Algorithms 1 and 3 gave similar results (408.1 vs. 405.5 per 1,000 person‐years); Algorithms 2 and 4 reported sensibly lower rates (84.7 and 84.0 per 1,000 person‐years). Incidence rate of NDMC for female patients was higher than in males and for older age group (i.e. 75–84 age group) than younger patients, for both gender groups. Regarding the regression model, a higher risk of NDMC was estimated in patients aged 45?years or more and in females. This study allowed us to assess the incidence rate of NDMC in Italy which was unexpectedly higher among older patients. Given the crucial role of general practitioners (GPs) in the diagnosis and management of these conditions, as well as the healthcare system reforms imposed by the ongoing financial crisis, our findings may contribute to informing the capacity and strategic workload planning in group of GPs to improve service quality and profitably to reduce the excessive use of emergency departments.
机译:摘要非转化的医疗条件(NDMC)是临床实体,除了由急诊部门经常管理的慢性疾病的恶化。初级保健环境确实是理想的环境才能熟练地对待它们。很少有研究已经研究了初级保健中NDMC的流行病学,特别是在意大利。旨在更好地识别NDMC患者,我们通过四种算法评估了NDMC定义的准确性,由不同的特异性和敏感性特征。开发了四种算法,基于NDMC的分层定义,以计算2014年NDMC的发病率。每次测试各种患者对性别调整的COX单变量模型进行了测试,比较年龄患者的患者与老年人患者。算法1和3给出了类似的结果(每1000人的405.5.5岁405.5);算法2和4报告说明较低的率(每1000人数为84.7和84.0)。女性患者的NDMC发病率高于男性和年龄组(即75-84岁年龄组),比性别群体比较年轻的患者。关于回归模型,45岁以上的患者估计了较高的NDMC风险,估计年龄或更长时生和女性。本研究允许我们评估意大利NDMC的发病率,患者在老年患者中出乎意料地较高。鉴于一般从业者(GPS)在这些条件的诊断和管理中的关键作用,以及正在进行的金融危机所施加的医疗保健系统改革,我们的调查结果可能有助于向GPS集团提供信息和战略工作量规划提高服务质量,盈利地减少急诊部门过度使用。

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