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Implementing a Redcap-based research data collection system for mental health.
Marroquin Rivera, Arturo; Rosas-Romero, Juan Camilo; Castro, Sergio Mario; Suárez-Obando, Fernando; Aguilera-Cruz, Jeny; Bartels, Sophia Marie; Park, Sena; Torrey, William Chandler; Gómez-Restrepo, Carlos.
Afiliação
  • Marroquin Rivera A; Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia. Electronic address: marroquin.a@javeriana.edu.co.
  • Rosas-Romero JC; Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia.
  • Castro SM; Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia.
  • Suárez-Obando F; Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia.
  • Aguilera-Cruz J; Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia.
  • Bartels SM; Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, United States.
  • Park S; Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, United States.
  • Torrey WC; Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, United States.
  • Gómez-Restrepo C; Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia; Departmento de Psiquiatría y Salud Mental, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia.
Rev Colomb Psiquiatr (Engl Ed) ; 50 Suppl 1: 110-115, 2021 Jul.
Article em En, Es | MEDLINE | ID: mdl-34257053
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.
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Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Saúde Mental / Pesquisa Biomédica Tipo de estudo: Guideline Limite: Humans País como assunto: America do sul / Colombia Idioma: En / Es Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Saúde Mental / Pesquisa Biomédica Tipo de estudo: Guideline Limite: Humans País como assunto: America do sul / Colombia Idioma: En / Es Ano de publicação: 2021 Tipo de documento: Article