Electronic data capture tool

Manufactured by REDCap

Sourced in United States

REDCap is a secure web application for building and managing online surveys and databases. It is designed to capture and store data for research studies and clinical trials. REDCap provides a user-friendly interface for data entry, data manipulation, and data exports. The application is highly customizable and offers features such as real-time data validation, branching logic, and advanced data reporting.

Automatically generated - may contain errors

Lab products found in correlation

Sas version 9, by SAS Institute (4 mentions) Research electronic data capture, by REDCap (1 mentions)

28 protocols using electronic data capture tool

COVID-19 ECMOCARD: Global ICU Cohort Study

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The COVID-19-CCC/ECMOCARD is an international, multicentre, cohort observational study ongoing in 351 hospitals across 53 countries. The full study protocol is available elsewhere [15 ]. To summarize, participating hospitals obtained local ethics committee approval and a waiver of informed consent was granted in all cases. ISARIC/SPRINT-SARI data collection began at admission to hospital, while data collection for the COVID-19–CCC observational study commenced at admission to the ICU. De-identified patient data were collected retrospectively and stored via the REDCap electronic data capture tool, hosted at the University of Oxford, United Kingdom or Monash University, Melbourne, Australia.

Li Bassi G., Suen J.Y., Dalton H.J., White N., Shrapnel S., Fanning J.P., Liquet B., Hinton S., Vuorinen A., Booth G., Millar J.E., Forsyth S., Panigada M., Laffey J., Brodie D., Fan E., Torres A., Chiumello D., Corley A., Elhazmi A., Hodgson C., Ichiba S., Luna C., Murthy S., Nichol A., Ng P.Y., Ogino M., Pesenti A., Trieu H.T, & Fraser J.F. (2021). An appraisal of respiratory system compliance in mechanically ventilated covid-19 patients. Critical Care, 25, 199.

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Digital Data Capture and Privacy for Clinical Trials

Cited 1 time

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Study data will be recorded digitally using the secured REDCap electronic data capture tool (REDCap, Nashville, USA)106 (link) hosted at the UMCG. Data and biological materials will be stored for 15 years. Data analysis will take place with validated and pseudoanonymised data. To protect participant privacy, public access to the dataset will not be provided. After the last visit of the last participant and before disclosure of treatment arm allocation, data will be extracted from REDCap and exported to SPSS for analysis. No interim analyses will be performed.

Vinke J.S., Eisenga M.F., Sanders J.S., Berger S.P., Spikman J.M., Abdulahad W.H., Bakker S.J., Gaillard C.A., van Zuilen A.D., van der Meer P, & de Borst M.H. (2023). Effect of Intravenous Ferric Carboxymaltose on Exercise Capacity After Kidney Transplantation (EFFECT-KTx): rationale and study protocol for a double-blind, randomised, placebo-controlled trial. BMJ Open, 13(3), e065423.

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Feasibility of Recovery-Oriented Assessment Scale

Cited 2 times

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The survey instrument was developed for this study and pilot-tested with two RAS-DS users from Australia and Canada. It collected information on: a) participants’ demographics and practice context, b) current or previous use of RAS-DS; and c) feasibility aspects of RAS-DS using items developed from the updated feasibility framework (Table 1). No items were included around RAS-DS being low cost, multidimensional and able to be aggregated given that these are objective features of RAS-DS (which is cost-free, is arranged around four domains and has demonstrated measurement properties that support aggregation) (31 (link)).
Throughout the survey, participants were given the option to explain or comment on their responses, and they provided free-text responses to questions about most and least useful aspects of RAS-DS. Current RAS-DS users were also asked further questions regarding their RAS-DS use (e.g., why and how RAS-DS was used, frequency of use and whether RAS-DS helped them be more recovery-oriented in their practice).
Study data were collected and managed using the REDCap electronic data capture tool hosted at The University of Sydney (38 (link)).

Ramesh S., Scanlan J.N., Honey A, & Hancock N. (2024). Feasibility of Recovery Assessment Scale – Domains and Stages (RAS-DS) for everyday mental health practice. Frontiers in Psychiatry, 15, 1256092.

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The Avon Longitudinal Study of Parents and Children

Cited 1 time

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The Avon Longitudinal Study of Parents and Children (ALSPAC) is an ongoing UK birth cohort designed to further knowledge of determinants of illness and health.^{27 (link),28 (link)} All pregnant women in the catchment area with a due date between April 1, 1991 and December 31, 1992 were eligible for invitation at antenatal appointments and through advertisements, and 14 541 were originally recruited.^{27 (link),28 (link)} Their children were followed into adulthood. At age 7, 913 additional children were enrolled. In total, 14 901 infants surviving to age 1 were included.²⁹ The ALSPAC Law and Ethics Committee and Local Research Ethics Committees provided ethical approval for the study and participants gave written informed consent. Study data were collected and managed using the REDCap electronic data capture tool hosted at the University of Bristol: a secure, web-based software platform.^{30 (link)}Further details of the cohort profile and a fully searchable data dictionary can be obtained through the study website (https://www.bristol.ac.uk/alspac/).

Shoham N., Hayes J.F., Cooper C., Theodorsson M, & Lewis G. (2021). Association Between Childhood Visual Acuity and Late Adolescent Psychotic Experiences: A Prospective Birth Cohort Study. Schizophrenia Bulletin, 48(2), 325-334.

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Ethical and Secure Research Protocol

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This study was conducted in HealthPartners, a nonprofit health care system in Minnesota, and was approved by HealthPartners Institute Institutional Review Board. The procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation. Informed verbal consent was obtained from all adult participants for their own and their child’s participation, and informed verbal assent was obtained from all participants under the age of 18, which covered all study-related activities.
Recruitment and consent data were collected and managed using REDCap electronic data capture tools hosted at HealthPartners Institute. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture [17 (link)]. For this project, it provided an intuitive interface for validated data capture across multiple roles and users.

Mitchell S.G., Truitt A.R., Davin L.M, & Rindal D.B. (2022). Pain management after third molar extractions in adolescents: a qualitative study. BMC Pediatrics, 22, 184.

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CIED-Associated Non-SA GPC Bacteremia Epidemiology

Cited 1 time

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A retrospective cohort study included all adult patients (18 years of age or older) with CIED who developed first episode of non-SA GPC bacteremia from January 1, 2012, to December 31, 2019, at the Mayo Clinic in Rochester, Minnesota. Exclusion criteria included: (1) patients with a left ventricular assist device, (2) patients who developed polymicrobial bacteremia, and (3) patients who declined Minnesota research authorization to use their medical record for research purposes. Cardiovascular Devices Database and Mayo Data Explorer software were used to identify the cases. Mayo Data Explorer retrieves data from multiple Mayo Clinic clinical databases that contain over 30 years of electronic medical record systems including microbiology data. Clinical variables including demographics, hospitalization, microbiology, treatment, and outcomes were manually abstracted from electronic medical records. All data were collected and managed using REDCap electronic data capture tools¹⁵ (link)^,¹⁶ (link) hosted at the Mayo Clinic. The research in this study was conducted according to the Helsinki Declaration guidelines. The study was reviewed by the Mayo Clinic Institutional Review Board and granted an exemption due to the use of de-identified and retrospective data (number 20-009376). The written informed consent was also waived due to the same reasons.

Chesdachai S., Baddour L.M., Sohail M.R., Palraj B.R., Madhavan M., Tabaja H., Fida M., Lahr B.D, & DeSimone D.C. (2022). Bacteremia due to non–Staphylococcus aureus gram-positive cocci and risk of cardiovascular implantable electronic device infection. Heart Rhythm O2, 4(3), 207-214.

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Standardized Outbreak Investigation Protocol

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A Centers for Disease Control and Prevention standardized, validated healthcare-associated infection outbreak investigation form and toolkit (33 , 34 ) were adapted to analyze date and location data to identify possible transmission events in the healthcare setting of subjects determined to fall within a cluster based on WGS and phylogenetic analysis. Demographic, patient location, and microbiological data were collected from the EHR, then assembled and managed using REDCap electronic data capture tools hosted at National Jewish Health.

Gross J.E., Caceres S., Poch K., Hasan N.A., Jia F., Epperson L.E., Lipner E., Vang C., Honda J.R., Strand M., Calado Nogueira de Moura V., Daley C.L., Strong M., Davidson R.M, & Nick J.A. (2022). Investigating Nontuberculous Mycobacteria Transmission at the Colorado Adult Cystic Fibrosis Program. American Journal of Respiratory and Critical Care Medicine, 205(9), 1064-1074.

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Dietary Assessment in Pregnant South Africans

Cited 3 times

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Habitual dietary intake was assessed at the second pregnancy visit (14-18 weeks) using an interviewer-administered quantitative food-frequency questionnaire (QFFQ). This nationally utilised QFFQ was developed by the South African Medical Research Council (SAMRC) based on analyses of 11 dietary surveys conducted in rural and urban South Africa and includes all foods consumed by at least 3% of the population (21 ). Retrospective data was collected on the frequency and quantity of food and beverage intake during the previous week using food flash cards (high quality photographs of food items) and a combination of household measures, two-dimensional life-size drawings of foods and utensils, and three-dimensional food models as described and validated by Steyn et al (22 (link)). According to the criteria developed by Dennis et al, this QFFQ is a very high quality tool – scoring a total of 13 points (high quality classified as a score of seven or higher) (23 (link)). This QFFQ has been extensively piloted and utilised in this setting and results are published elsewhere (10 ,24 (link),25 (link)). QFFQ data was captured electronically using REDCap electronic data capture tools hosted at The University of the Witwatersrand (26 ).

Wrottesley S.V., Ong K.K., Pisa P.T, & Norris S.A. (2018). Maternal Traditional dietary pattern and antiretroviral treatment exposure are associated with neonatal size and adiposity in urban, black South Africans. The British journal of nutrition, 120(5), 557-566.

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Data Collection and Analysis Protocol for Parasitic Disease Study

Cited 1 time

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Data will be collected using electronic tablets, with REDCap electronic data capture tools [32 (link)] hosted at UNSW Sydney. Data will be collected offline and sent to the secure REDCap server daily using a secure wireless connection. Results of the qPCR analysis will be entered into a customised database and sent securely to UNSW Sydney. Regular data management meetings will be held to examine data quality and completeness, and review any queries. Trial data will be accessible only by a limited number of study investigators. De-identified data will also be provided to the Center for Parasitic Disease Control & Prevention in Dak Lak province.

Clarke N.E., Ng-Nguyen D., Traub R.J., Clements A.C., Halton K., Anderson R.M., Gray D.J., Coffeng L.E., Kaldor J.M, & Vaz Nery S. (2019). A cluster-randomised controlled trial comparing school and community-based deworming for soil transmitted helminth control in school-age children: the CoDe-STH trial protocol. BMC Infectious Diseases, 19, 822.

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Remote Research Participation during COVID-19

Cited 1 time

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All baseline study visits were conducted in-person at Helfgott Research Institute at NUNM in Portland, Oregon. Baseline visits included a review of participant eligibility, a discussion and signing of the informed consent, completion of self-report questionnaires, and surface electromyography testing (to be reported elsewhere). Baseline study visits lasted between 30 and 75 minutes, depending on participant questions and timeliness in survey completion. Follow-up visits contained, at most, the self-report questionnaires and surface electromyography testing; because of the nature of the ongoing COVID-19 pandemic at the time of study implementation, participants were offered the opportunity to complete follow-up visits virtually, with self-report questionnaires delivered remotely through Research Electronic Data Capture (REDCap). Study data were collected and managed using REDCap electronic data capture tools hosted at NUNM.^{31 (link),32 (link),47} REDCap is a secure, web-based software platform designed to support data capture for research studies, providing (1) an intuitive interface for validated data capture; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for data integration and interoperability with external sources.

Wexler R.S., Fox D.J., ZuZero D., Bollen M., Parikshak A., Edmond H., Lemau J., Montenegro D., Ramirez J., Kwin S., Thompson A.R., Carlson H.L., Marshall L.M., Kern T., Mist S.D., Bradley R., Hanes D.A., Zwickey H, & Pickworth C.K. (2024). Virtually delivered Mindfulness-Oriented Recovery Enhancement (MORE) reduces daily pain intensity in patients with lumbosacral radiculopathy: a randomized controlled trial. Pain Reports, 9(2), e1132.

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