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首页> 外文期刊>Pharmacoepidemiology and drug safety >Fall risk increasing drugs and injuries of the frail elderly - evidence from administrative data.
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Fall risk increasing drugs and injuries of the frail elderly - evidence from administrative data.

机译:落下风险增加脆弱老人的药物和伤害 - 来自行政数据的证据。

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摘要

Society benefits on a large scale from improved medical care and pharmaceuticals. The prescription of pharmaceuticals, however, also carries risks such as the possibility of an increased hazard of falls, which may lead to severe injuries and increased health expenditures associated with these injuries. This study investigates the relationship of several fall risk increasing drugs (FRIDs) and injuries of elderly persons using multivariate regression models.Routine data from the Techniker Krankenkasse of frail elderly persons aged?≥?65 years is analysed for the year 2009 by estimating count data models, in order to take the data generating process of the number of injuries into account. The results of this model are compared to those from logistic regressions, which is the default regression model in this field of research.The empirical results suggest that the incidence of injuries strongly increases with doses of antidepressants, anxiolytics, hypnotics and sedatives, antiarrhythmics and drugs from the Priscus-list. However, antihypertensives and antiparkinsonian agents show no significant association and neuroleptics indicate a significant negative association.As recurrent injuries are common, the analysis of the number of injuries rather than just the probability of having an injury provides a more informative analysis of FRIDs. According to the empirical results, antidepressants, anxiolytics, hypnotics and sedatives, antiarrhythmics as well as drugs from the Priscus-list should be prescribed carefully, because these drugs are positively correlated with the incidence of injuries. Copyright ? 2012 John Wiley & Sons, Ltd.
机译:社会从改善的医疗和药品中大规模受益。然而,药品的处方也承担风险,例如秋季危害增加的可能性,这可能导致严重的伤害和增加与这些伤害相关的保健支出。本研究调查了使用多元回归模型的几个秋季风险增加药物(果冻)和老年人伤害的关系。通过估计计数数据分析2009年的Frail老年人Krankenkase的Techniker Krankenkasse的数据模型,以便考虑伤害数量的数据。将该模型的结果与来自逻辑回归的结果进行比较,这是该研究领域的默认回归模型。实证结果表明,受伤的发生率强烈增加,抗抑郁药,抗焦虑,催眠药和镇静剂,抗真菌剂和药物都强烈增加来自priscus-list。然而,抗高血压和抗磷酸辛烷剂显示出没有明显的关联和神经抑制剂表明显着的阴性协会。复发伤害是常见的,对伤害的次数而不是伤害的可能性提供了更具信息的分析。根据经验结果,应仔细规定抗衰老,抗焦虑,催眠药和镇静剂,抗心律失常和药物,因为这些药物与伤害的发生率正相关。版权? 2012年John Wiley&Sons,Ltd。

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