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
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
Abstract
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.
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.