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Intervention protocol: OPtimising thERapy to prevent avoidable hospital Admission in the Multi-morbid elderly (OPERAM): a structured medication review with support of a computerised decision support system

机译:干预议定书:优化治疗,以防止多病原体老年人(Operam)的可避免住院入住(Operam):支持计算机化决策支持系统的结构化药物审查

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Several approaches to medication optimisation by identifying drug-related problems in older people have been described. Although some interventions have shown reductions in drug-related problems (DRPs), evidence supporting the effectiveness of medication reviews on clinical and economic outcomes is lacking. Application of the STOPP/START (version 2) explicit screening tool for inappropriate prescribing has decreased inappropriate prescribing and significantly reduced adverse drug reactions (ADRs) and associated healthcare costs in older patients with multi-morbidity and polypharmacy. Therefore, application of STOPP/START criteria during a medication review is likely to be beneficial. Incorporation of explicit screening tools into clinical decision support systems (CDSS) has gained traction as a means to improve both quality and efficiency in the rather time-consuming medication review process. Although CDSS can generate more potential inappropriate medication recommendations, some of these have been shown to be less clinically relevant, resulting in alert fatigue. Moreover, explicit tools such as STOPP/START do not cover all relevant DRPs on an individual patient level. The OPERAM study aims to assess the impact of a structured drug review on the quality of pharmacotherapy in older people with multi-morbidity and polypharmacy. The aim of this paper is to describe the structured, multi-component intervention of the OPERAM trial and compare it with the approach in the comparator arm. This paper describes a multi-component intervention, integrating interventions that have demonstrated effectiveness in defining DRPs. The intervention involves a structured history-taking of medication (SHiM), a medication review according to the systemic tool to reduce inappropriate prescribing (STRIP) method, assisted by a clinical decision support system (STRIP Assistant, STRIPA) with integrated STOPP/START criteria (version 2), followed by shared decision-making with both patient and attending physician. The developed method integrates patient input, patient data, involvement from other healthcare professionals and CDSS-assistance into one structured intervention. The clinical and economical effectiveness of this experimental intervention will be evaluated in a cohort of hospitalised, older patients with multi-morbidity and polypharmacy in the multicentre, randomized controlled OPERAM trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multi-morbid elderly), which will be completed in the last quarter of 2019. Universal Trial Number: U1111-1181-9400 Clinicaltrials.gov: NCT02986425, Registered 08 December 2016. FOPH (Swiss national portal): SNCTP000002183. Netherlands Trial Register: NTR6012 (07-10-2016).
机译:已经描述了通过识别老年人的毒品相关问题来进行药物优化的几种方法。虽然一些干预措施表明毒品有关的问题(DRPS)的减少,但缺乏支持药物评​​论的有效性的证据缺乏。停止/开始(版本2)的应用程序显式筛选工具对于不适当的处方,减少不适当的处方,并且显着降低了老年患者的不良药物反应(ADR)以及相关的多种患者的医疗保健成本。因此,在药物审查期间的停止/开始标准的应用可能是有益的。将明确的筛选工具纳入临床决策支持系统(CDS)的牵引力是一种在相当耗时的药物审查过程中提高质量和效率的方法。虽然CDSS可以产生更多潜在的不适当的药物建议,但其中一些已被证明在临床上不如临床相关,导致警报疲劳。此外,STOPP /开始等显式工具不会在各个患者水平上覆盖所有相关的DRP。作者研究旨在评估结构化药物审查对老年人药物治疗质量的影响,具有多种发病率和多酚。本文的目的是描述操作试验的结构化,多组件干预,并将其与比较器臂中的方法进行比较。本文介绍了多组分干预,集成了在定义DRPS方面具有有效性的干预措施。干预涉及药物历史服用药物(Shim),根据系统工具的药物检查,以减少不适当的处方(带)方法,由临床决策支持系统(Star Assistant,Stripa)提供集成的停止/起始标准(版本2),随后与患者和主治医生共享决策。开发方法集成了患者输入,患者数据,与其他医疗专业人士和CDSS的参与援助援助纳入一个结构化干预。这种实验干预的临床和经济效果将在多期一组,随机对照操作局试验中的多中心,随机对照操作试验中的多期多患者和多酚和多药疗法的课程中进行评估(优化治疗,以防止在多态度老年人中彻底入住),将在2019年的最后一季度完成。普遍试验号码:U1111-1181-9400 ClinicalTrials.gov:2016年12月8日注册08年12月8日。Foph(瑞士国家门户):SNCTP000002183。荷兰试验登记:NTR6012(07-10-2016)。

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