在精神病早期干预服务中实施基于数字测量的护理方法:PEPP-Montreal电子数据采集协议及其与学习卫生系统原则的一致性

IF 3.6 2区 医学 Q1 PSYCHIATRY
Elissa Zavaglia , Ridha Joober , Srividya N. Iyer , Kevin MacDonald , Martin Lepage , Sherezad Abadi , Jai Shah , Manuela Ferrari
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引用次数: 0

摘要

以测量为基础的护理对改善精神疾病的结局至关重要,但仍未得到充分利用,特别是在有影响的早期治疗阶段。受学习卫生系统方法的启发,PEPP-Montreal开发了一个混合纸张/电子数据捕获平台,这是一个早期精神病项目,收集患者社会人口统计学、症状、功能、护理途径、物质使用和药物监测方面的数据。本文评估了这种创新基础设施的第一年部署(2022 - 2023)。使用RE-AIM框架(Reach、Effectiveness、Adoption、Implementation和Maintenance),将2022年新型混合基础设施与2016年纸质版本进行了比较。第一阶段确定了基于证据的临床措施,包括患者报告、临床医生报告和评估者报告的结果,而第二阶段进一步简化并实施了电子数据采集平台。在六个时间点部署了通过平台的连续数据收集。结果包括:N = 53/81例患者使用纸质/电子数据进行一年的服务评估。有效性:自动化,混合纸/电子协议优化数据管理。采用:2022-2023年电子患者报告结果的比率高于2016-2017年(纸质版本)。临床报告结果的完成率在基线(第一年)时最高。实施/维护:确定了障碍和促进因素、基本适应和可持续影响。使用电子、基于测量的数据收集加速反馈更接近实时,并与学习卫生系统原则保持一致。在PEPP-Montreal实施混合数据收集平台为使用基于测量的护理来通知服务质量提供了宝贵的见解。在学习型卫生系统向数字协议过渡的复杂过程中,包括关键利益攸关方的参与,使用混合协议是必要的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a digital measurement-based care approach in an early intervention service for psychosis: the PEPP-Montreal electronic data capture protocol and its alignment with learning health system principles
Measurement-based care, crucial for improving outcomes in psychiatric disorders, remains underutilized, particularly during the impactful early treatment phases. Inspired by a learning health system approach, a hybrid paper/electronic data capture platform was developed at PEPP-Montreal, an early psychosis program, gathering data on patient socio-demographics, symptoms, functioning, pathways to care, substance use, and medication monitoring. This article evaluates the year-one deployment of this innovative infrastructure (2022−2023). The novel 2022 hybrid infrastructure was compared with the 2016 paper-based version, using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance). Phase 1 identified evidence-based clinical measures including patient-reported, clinician-reported, and evaluator-reported outcomes, while phase 2 further streamlined and implemented the electronic data capture platform. Continuous data collection through the platform was deployed at six time points. Results included: Reach: N = 53/81 patients used paper/electronic data for their year-one service evaluation. Effectiveness: The automated, hybrid paper/electronic protocol optimized data management. Adoption: Rates of electronic patient-reported outcomes were higher in 2022–2023 than 2016–2017 (paper version). Completion rates for clinician-reported outcomes were highest at baseline (year-one). Implementation/maintenance: Barriers and facilitators, essential adaptations, and sustainable impacts were identified. Using electronic, measurement-based data collection accelerates feedback closer to real time and alignment with learning health system principles. Implementing the hybrid data collection platform at PEPP-Montreal provided valuable insights into using measurement-based care to inform quality of services. In the complex transition to a digital protocol within a learning health system, including engagement of key stakeholders, using the hybrid protocol was a necessary first step.
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来源期刊
Schizophrenia Research
Schizophrenia Research 医学-精神病学
CiteScore
7.50
自引率
8.90%
发文量
429
审稿时长
10.2 weeks
期刊介绍: As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership! Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue. The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.
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