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Long-term antipsychotic polypharmacy prescribing in secondary mental health care: detection, predictors and outcomes.

机译:二级精神卫生保健中的长期抗精神病药合用药:检测,预测指标和结果。

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摘要

Background: Investigating long-term antipsychotic polypharmacy is key tounpacking the associations between serious mental illnesses (SMI) anddetrimental outcomes, such as premature death and frequent hospitalreadmissions, observed in this population. However, existing research issparse and hampered by methodological problems such as examining smalland homogeneous samples and residual confounding.Objectives:1) To identify cases on long-term antipsychotic polypharmacy (≥ 6 months)prescribing in South London and Maudsley electronic health records (EHR);2) To identify factors that predict long-term antipsychotic polypharmacyprescribing for SMI patients in secondary mental health care;3) To investigate whether outcomes such as hospital readmission andmortality are associated with long-term antipsychotic polypharmacyprescribing in secondary mental health care.Methods: Antipsychotic medication information was derived from the ClinicalRecord Interactive Search (CRIS), a de-identified electronic patient recordssystem, for the period between 2007 and 2014. Data on mortality wereextracted using existing linkages between CRIS and death certification (Officeof National Statistics). Information about antipsychotic co-prescribing wasextracted using a bespoke algorithm. Multivariable logistic models were builtto investigate predictors of antipsychotic polypharmacy. To investigate theimpact of antipsychotic polypharmacy on hospital readmission and all-causemortality, I constructed multivariable Cox proportion hazard models. To testthe association between long-term antipsychotic polypharmacy and cause-specific mortality I used competing risk regression.Implications: On a clinical level, this thesis provides an insight into factorsthat can predict clinical decision-making regarding antipsychoticpolypharmacy prescribing in real-life clinical settings. On a patient level, thefindings highlight patient burden associated with this antipsychotic regimen. Inthe wider treatment, service and policy context, the lack of patient benefit fromantipsychotic polypharmacy highlights the need for programmes that targetprescribers, to reduce antipsychotic polypharmacy.
机译:背景:研究长期的抗精神病药房是揭开该人群中严重精神疾病(SMI)与有害结局(如过早死亡和频繁住院再入院)之间联系的关键。然而,现有的研究稀疏且受方法学问题的困扰,例如检查小的和均质的样本以及残留的混杂物。目的:1)确定在南伦敦和Maudsley电子健康记录(EHR)开具长期抗精神病药房(≥6个月)的病例; 2)确定在二级精神卫生保健中预测SMI患者长期抗精神病药多药处方的因素; 3)研究二级精神卫生保健中长期抗精神病药多药处方是否与结局和死亡等结局有关。药物信息来自临床记录交互式搜索(CRIS),这是一种身份不明的电子病历系统,适用于2007年至2014年。使用CRIS与死亡证明之间的现有联系,可以提取死亡率数据(美国国家统计局)。使用定制算法提取有关抗精神病药处方的信息。建立多变量逻辑模型以研究抗精神病药房的预测因素。为了研究抗精神病药对医院再入院和全因死亡的影响,我构建了多变量Cox比例风险模型。为了测试长期使用抗精神病药的多药与特定病因死亡率之间的关系,我使用了竞争风险回归法。启示:在临床水平上,本论文提供了可以预测有关在现实生活中临床处方中抗精神病药的多药临床决策的因素的见解。从患者的角度来看,研究结果突出了这种抗精神病药物治疗方案给患者带来的负担。在更广泛的治疗,服务和政策背景下,缺乏抗精神病药多药治疗的患者的利益凸显了对以处方药为目标的计划的需求,以减少抗精神病药多药治疗。

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    Kadra-Scalzo Giouliana;

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  • 年度 2017
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  • 正文语种 eng
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