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Implementing a Redcap-based research data collection system for mental health

  • Arturo Marroquin Rivera
  • , Juan Camilo Rosas-Romero
  • , Sergio Mario Castro
  • , Fernando Suárez-Obando
  • , Jeny Aguilera-Cruz
  • , Sophia Marie Bartels
  • , Sena Park
  • , William Chandler Torrey
  • , Carlos Gómez-Restrepo
  • Departmento de Epidemiología Clínica y Estadística
  • Dartmouth College

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: The implementation of new technologies in medical research, such as novel big storage systems, has recently gained importance. Electronic data capture is a perfect example as it powerfully facilitates medical research. However, its implementation in resource-limited settings, where basic clinical resources, internet access, and human resources may be reduced might be a problem.

METHODS: In this paper we described our approach for building a network architecture for data collection to achieve our objectives using a REDCap® tool in Colombia and provide guidance for data collection in similar settings.

CONCLUSIONS: REDCap is a feasible and efficient electronic data capture software to use in similar contexts to Colombia. The software facilitated the whole data management process and is a way to build research capacities in resourced-limited settings.

Translated title of the contributionImplementando un sistema de recolección de datos basado en REDCap para la evaludación de la salud mental en Colombia: el caso del Proyecto DIADA
Original languageEnglish
Pages (from-to)110-115
Number of pages6
JournalRevista Colombiana de Psiquiatría (English ed.)
Volume50 Suppl 1
Issue numberSuppl 1
DOIs
StatePublished - Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomedical Research
  • Colombia
  • Data Collection
  • Humans
  • Mental Health
  • Software

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