Digitization of Measurement-Based Care Pathways in Mental Health Through REDCap and Electronic Health Record Integration: Development and Usability Study.
Digitization of Measurement-Based Care Pathways in Mental Health Through REDCap and Electronic Health Record Integration: Development and Usability Study.
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DOI：
10.2196/25656
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发表时间：
2021-05-20
影响因子：
7.4
通讯作者：
Rotenberg D
中科院分区：
文献类型：
--
作者：
Hawley S;Yu J;Bogetic N;Potapova N;Wakefield C;Thompson M;Kloiber S;Hill S;Jankowicz D;Rotenberg D
提供标准化的自我报告评估对于心理健康的基于测量的护理至关重要。基于纸张的基于测量的护理数据收集方法在输入患者电子健康记录(EHR)时可能会导致转录错误、数据丢失和其他数据质量问题。这项研究旨在通过使用RedCap(研究电子数据捕获；范德比尔特大学)的专用实例来帮助解决这些问题。RedCap是一个免费的、广泛使用的电子数据捕获平台，它的建立是为了在临床护理路径中部署数字化的自我评估，为临床决策提供信息。RedCap与初级临床信息系统集成，以便于将离散数据和PDF报告从RedCap实时传输到EHR。全面执行工作需要技术和行政两个部分。还进行了一项技术接受度调查，以了解医生和临床医生对新系统的态度。RedCap与EHR的集成将临床工作流程从纸质数据收集方法过渡到电子数据收集。这大大节省了时间，提高了数据质量，并提供了宝贵的实时信息。每次预约时自我报告评估的数字化有助于在整个诊所范围内实施严重抑郁障碍综合护理路径。这一数字化转型促进了医生采用这一综合护理路径工作流程的人数增加了4倍，患者登记人数增加了3倍，导致严重抑郁障碍综合护理路径能力总体上显著增加。医生和临床医生的态度总体上是积极的，几乎所有受访者都同意该系统对他们的工作有用。RedCap提供了一个直观的患者界面，用于收集自我报告的测量结果并实时访问结果，以便为临床决策提供信息，并为系统集成提供可扩展的后端。该方法进行了有效的扩展，并扩展到全院影响较大的诊所，允许广泛部署复杂的工作流程和标准化评估，从而在诊所和护理路径上积累统一的数据。RedCap是一个灵活的工具，可以有效地利用它来促进将自我报告数据自动传输到EHR；然而，需要周到的治理来补充技术实施，以确保数据标准化、数据质量、患者安全和隐私得到维护。
The delivery of standardized self-report assessments is essential for measurement-based care in mental health. Paper-based methods of measurement-based care data collection may result in transcription errors, missing data, and other data quality issues when entered into patient electronic health records (EHRs). This study aims to help address these issues by using a dedicated instance of REDCap (Research Electronic Data Capture; Vanderbilt University)—a free, widely used electronic data capture platform—that was established to enable the deployment of digitized self-assessments in clinical care pathways to inform clinical decision making. REDCap was integrated with the primary clinical information system to facilitate the real-time transfer of discrete data and PDF reports from REDCap into the EHR. Both technical and administrative components were required for complete implementation. A technology acceptance survey was also administered to capture physicians’ and clinicians’ attitudes toward the new system. The integration of REDCap with the EHR transitioned clinical workflows from paper-based methods of data collection to electronic data collection. This resulted in significant time savings, improved data quality, and valuable real-time information delivery. The digitization of self-report assessments at each appointment contributed to the clinic-wide implementation of the major depressive disorder integrated care pathway. This digital transformation facilitated a 4-fold increase in the physician adoption of this integrated care pathway workflow and a 3-fold increase in patient enrollment, resulting in an overall significant increase in major depressive disorder integrated care pathway capacity. Physicians’ and clinicians’ attitudes were overall positive, with almost all respondents agreeing that the system was useful to their work. REDCap provided an intuitive patient interface for collecting self-report measures and accessing results in real time to inform clinical decisions and an extensible backend for system integration. The approach scaled effectively and expanded to high-impact clinics throughout the hospital, allowing for the broad deployment of complex workflows and standardized assessments, which led to the accumulation of harmonized data across clinics and care pathways. REDCap is a flexible tool that can be effectively leveraged to facilitate the automatic transfer of self-report data to the EHR; however, thoughtful governance is required to complement the technical implementation to ensure that data standardization, data quality, patient safety, and privacy are maintained.
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影响因子：
9.3
作者：
McGinn CA;Grenier S;Duplantie J;Shaw N;Sicotte C;Mathieu L;Leduc Y;Légaré F;Gagnon MP
通讯作者：
Gagnon MP
影响因子：
7.3
作者：
DAVIS, FD
通讯作者：
DAVIS, FD
影响因子：
3.5
作者：
Rotenberg, David J.;Chang, Qing;Jankowicz, Damian
通讯作者：
Jankowicz, Damian
影响因子：
2.1
作者：
Sulkers, Heather;Tajirian, Tania;Jankowicz, Damian
通讯作者：
Jankowicz, Damian
影响因子：
2.9
作者：
Settipani CA;Cleverley K;Hawke LD;Rice M;Henderson JL
通讯作者：
Henderson JL