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Monitoring and managing metabolic effects of antipsychotics: a cluster randomized trial of an intervention combining evidence-based quality improvement and external facilitation

机译:监测和管理抗精神病药的代谢作用:一项基于证据的质量改善和外部促进相结合的干预措施的整群随机试验

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Background Treatment of psychotic disorders consists primarily of second generation antipsychotics, which are associated with metabolic side effects such as overweight/obesity, diabetes, and dyslipidemia. Evidence-based clinical practice guidelines recommend timely assessment and management of these conditions; however, research studies show deficits and delays in metabolic monitoring and management for these patients. This protocol article describes the project ‘Monitoring and Management for Metabolic Side Effects of Antipsychotics,’ which is testing an approach to implement recommendations for these practices. Methods/Design This project employs a cluster randomized clinical trial design to test effectiveness of an evidence-based quality improvement plus facilitation intervention. Eligible study sites were VA Medical Centers with ≥300 patients started on a new antipsychotic prescription in a six-month period. A total of 12 sites, matched in pairs based on scores on an organizational practice survey, were then randomized within pairs to intervention or control conditions. Study participants include VA employees involved in metabolic monitoring and management of patients treated with antipsychotics at participating sites. The intervention involves researchers partnering with clinical stakeholders to facilitate tailoring of local implementation strategies to address barriers to metabolic side-effect monitoring and management. The intervention includes a Design Phase (initial site visit and subsequent development of a local implementation plan); Implementation Phase (guided by an experienced external facilitator); and a Sustainability Phase. Evaluation includes developmental, implementation-focused, progress-focused and interpretative formative evaluation components, as well as summative evaluation. Evaluation methods include surveys, qualitative data collection from provider participants, and quantitative data analysis of data for all patients prescribed a new antipsychotic medication at a study site who are due for monitoring or management of metabolic side effects during the study phases. Changes in rates of recommended monitoring and management actions at intervention and control sites will be compared using time series analyses. Discussion Improving monitoring for metabolic side effects of antipsychotics, as well as promoting timely evidence-based management when these effects emerge, will lead to improved patient safety and long-term outcomes. This article discusses key strengths and challenges of the study. Trial registration NCT01875861
机译:背景精神病的治疗主要由第二代抗精神病药组成,这些药物与代谢副作用有关,例如超重/肥胖,糖尿病和血脂异常。循证临床实践指南建议及时评估和管理这些疾病;然而,研究表明这些患者的代谢监测和管理存在缺陷和延迟。该协议文章介绍了“抗精神病药物代谢副作用的监测和管理”项目,该项目正在测试一种针对这些实践实施建议的方法。方法/设计该项目采用群集随机临床试验设计来测试基于证据的质量改进和促进干预的有效性。符合条件的研究地点是VA医疗中心,在六个月内开始使用新的抗精神病药处方的≥300名患者。然后根据组织实践调查中的得分将成对配对的总共12个地点随机分成几对进行干预或控制。参加研究的人员包括在参与地点参与抗精神病药治疗的患者代谢监测和管理的VA员工。干预措施包括研究人员与临床利益相关者合作,以促进制定本地实施策略,以解决代谢副作用监测和管理的障碍。干预措施包括设计阶段(首次实地考察和随后制定本地实施计划);实施阶段(由经验丰富的外部协调员指导);和可持续发展阶段。评估包括发展性,重点实施,重点进展和解释性形成性评估组成部分,以及总结性评估。评估方法包括调查,从提供者参与者那里收集定性数据,以及对在研究阶段因监测或管理代谢副作用而在研究地点开出新抗精神病药物的所有患者的数据进行定量数据分析。将使用时间序列分析来比较干预和控制场所的建议监视和管理措施的速率变化。讨论改善对抗精神病药的代谢副作用的监测,以及在出现这些副作用时促进及时的循证管理,将改善患者的安全性和长期结果。本文讨论了这项研究的主要优势和挑战。试用注册NCT01875861

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