Using REDCap to track stakeholder engagement: A time-saving tool for PCORI-funded studies

AbstractBackground:Research Electronic Data Capture (REDCap) is a secure, web-based electronic data capture application for building and managing surveys and databases. It can also be used for study management, data transfer, and data export into a variety of statistical programs. REDcap was developed and supported by the National Center for Advancing Translational Sciences Program and is used in over 3700 institutions worldwide. It can also be used to track and measure stakeholder engagement, an integral element of research funded by the Patient-Centered Outcomes Research Institute (PCORI). Continuously and accurately tracking and reporting on stakeholder engagement activities throughout the life of a PCORI-funded trial can be challenging, particularly in complex trials with multiple types of engagement.Methods:In this paper, we show our approach for collecting and capturing stakeholder engagement activities using a shareable REDCap tool in one of the PCORI’s first large pragmatic clinical trials (the Comprehensive Post-Acute Stroke Services) to inform other investigators planning cluster-randomized pragmatic trials. Benefits and challenges are highlighted for researchers seeking to consistently monitor and measure stakeholder engagement.Conclusions:We describe how REDCap can provide a time-saving approach to capturing how stakeholders engage in a PCORI-funded study and reporting how stakeholders influenced the study in progress reports back to PCORI.

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Electronic Data Capture Tools for Global Health Programs: Evolution of LINKS, an Android-, Web-Based System

PLoS Neglected Tropical Diseases ◽

10.1371/journal.pntd.0002654 ◽

2014 ◽

Vol 8 (4) ◽

pp. e2654 ◽

Cited By ~ 51

Author(s):

Alex Pavluck ◽

Brian Chu ◽

Rebecca Mann Flueckiger ◽

Eric Ottesen

Keyword(s):

Global Health ◽

Data Capture ◽

Health Programs ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Web Based System

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The experience of the clinical trial center at Alessandria Hospital regarding the activation of COVID-19 clinical trials during the pandemic

Working Paper of Public Health ◽

10.4081/wpph.2020.9248 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Annalisa Roveta ◽

Fabio Giacchero ◽

Carolina Pelazza ◽

Serena Penpa ◽

Costanza Massarino ◽

...

Keyword(s):

Clinical Trial ◽

Clinical Trials ◽

Data Collection ◽

Clinical Research ◽

Fast Track ◽

Data Capture ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Taking Charge

Objective: The aim is to evaluate the speed in the activation of Covid-19 clinical trials at SS. Antonio e Biagio e Cesare Arrigo Hospital of Alessandria during the pandemic. Methods: Data collection related to the activation and the conduction of clinical trials was managed using a database created through a web-based platform REDCap (Research Electronic Data Capture). Results: 32 studies were activated in the period between March 23 and July 31, 2020. An average time of 14 days elapsed between taking charge of the request and the issuance of the authorization act. Conclusions: During the emergency it was possible to activate the trials quickly thanks to fast-track procedures, optimizing COVID-19 clinical research.

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Procedure to integrate i2b2 and REDCap: a case study at ICSM

10.7287/peerj.preprints.3294 ◽

2017 ◽

Author(s):

Valentina Tibollo ◽

Mauro Bucalo ◽

Danila Vella ◽

Morena Stuppia ◽

Nicola Barbarini ◽

...

Keyword(s):

Data Warehouse ◽

Clinical Data ◽

General Procedure ◽

Data Capture ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Research Activities ◽

Successful Approach

REDCap (Research Electronic Data Capture) is one of the most popular web-based applications to support data capture for research studies and registries. i2b2 (Informatics for Integrating Biology and the Bedside) is a widely adopted data warehouse to re-use clinical data for research purposes. A general procedure able to integrate these solutions could facilitate research activities in several institutions. Starting from the principles adopted by the SEINE approach, one of the most successful approach designed to i2b2-REDCap integration, we proposed a general and flexible ETL (Extract Transform and Load) procedure for synchronizing an i2b2 project with a REDCap study.

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Procedure to integrate i2b2 and REDCap: a case study at ICSM

10.7287/peerj.preprints.3294v1 ◽

2017 ◽

Author(s):

Valentina Tibollo ◽

Mauro Bucalo ◽

Danila Vella ◽

Morena Stuppia ◽

Nicola Barbarini ◽

...

Keyword(s):

Data Warehouse ◽

Clinical Data ◽

General Procedure ◽

Data Capture ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Research Activities ◽

Successful Approach

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Capturing a Stata Dataset and Releasing it into REDcap

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x1701700108 ◽

2017 ◽

Vol 17 (1) ◽

pp. 130-138

Author(s):

Seth T. Lirette ◽

Samantha R. Seals ◽

Chad Blackshear ◽

Warren May

Keyword(s):

Data Collection ◽

Data Entry ◽

Data Capture ◽

Data Dictionary ◽

Electronic Data Capture ◽

Application Research ◽

Electronic Data ◽

Web Based ◽

Internet Connection ◽

Technology Advances

With technology advances, researchers can now capture data using web-based applications. One such application, Research Electronic Data Capture (REDCap), allows for data entry from any computer with an Internet connection. As the use of REDCap has increased in popularity, we have observed the need to easily create data dictionaries and data collection instruments for REDCap. The command presented in this article, redcapture, demonstrates one method to create a REDCap-ready data dictionary using a loaded Stata dataset, illustrated by examples of starting from an existing dataset or completely starting from scratch.

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Implementing an Electronic Data Capture System to Improve Clinical Workflow in a Large Academic Radiation Oncology Practice

JCO Clinical Cancer Informatics ◽

10.1200/cci.18.00034 ◽

2018 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Dario Pasalic ◽

Jay P. Reddy ◽

Timothy Edwards ◽

Hubert Y. Pan ◽

Benjamin D. Smith

Keyword(s):

Quality Assurance ◽

Radiation Oncology ◽

Time Of Day ◽

Data Capture ◽

Electronic Data Capture ◽

Clinical Workflow ◽

Electronic Data ◽

Web Based ◽

Electronic Data Capture System ◽

Oncology Practice

Purpose To describe the feasibility and benefits of implementing a custom radiation oncology electronic data capture (EDC) system in a large academic radiation oncology practice. Patients and Methods A Web-based point-and-click EDC known as Brocade was internally developed and implemented systemwide in 2016. Brocade captures key data elements, such as stage, histology, and patient and treatment characteristics; links this information to radiation dose data extracted from the record and verify system; and creates clinical notes that are automatically exported to the hospital electronic health record. We report the number of unique radiation episodes captured by Brocade in its first full year of implementation and describe the notes generated, toxicities captured, compliance with staging and quality assurance, and time of day in which documentation occurred with Brocade versus our prior human transcription system. Results A median of 756 radiation episodes per month was captured for a total of 9,283 unique episodes captured in the first full year of implementation. The most common notes were for on-treatment visits (29,913) and simulations (13,220). Stage was captured for 92.2% of Brocade episodes (8,513 of 9,236) versus 29.7% of courses pre-Brocade (3,025 of 10,170; P < .001). Quality assurance was documented for 96.3% of completed courses (7,601 of 7,892). The most common grade ≥1 toxicities were pain (10,031), fatigue (7,490), and dermatitis (6,172). Brocade implementation was associated with a reduction in off-hours documentation and increase in the proportion of documentation created between 8:00 am and 12:00 pm. Conclusion Brocade is a reliable Web-based EDC tool that improves clinical documentation without detracting from clinical workflow. Moreover, Brocade has the advantage of capturing data in a structured manner that facilitates real-time analytics and outcome reporting.

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Introduction of electronic data capture method using participant-completed online web-based follow up questionnaire in mail-based study achieves expected benefits and positive participant feedback

Trials ◽

10.1186/1745-6215-16-s2-p44 ◽

2015 ◽

Vol 16 (S2) ◽

Cited By ~ 5

Author(s):

Jill Barton ◽

Allen Young ◽

Michael Lay

Keyword(s):

Data Capture ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Capture Method ◽

Expected Benefits ◽

Online Web

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Research Electronic Data Capture (REDCap)

Journal of the Medical Library Association JMLA ◽

10.5195/jmla.2018.319 ◽

2018 ◽

Vol 106 (1) ◽

Cited By ~ 16

Author(s):

Emily F. Patridge ◽

Tania P. Bardyn

Keyword(s):

Clinical Research ◽

Data Capture ◽

Electronic Data Capture ◽

Electronic Data ◽

Web Based ◽

Vanderbilt University

Research Electronic Data Capture (REDCap) is a web-based application developed by Vanderbilt University to capture data for clinical research and create databases and projects.

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