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Original article
Implementing a Redcap-based research data collection system for mental health
Implementando un sistema de recolección de datos basado en REDCap para la evaludación de la salud mental en Colombia: el caso del Proyecto DIADA
Arturo Marroquin Riveraa,
Corresponding author
marroquin.a@javeriana.edu.co

Correspondence author.
, Juan Camilo Rosas-Romeroa, Sergio Mario Castroa, Fernando Suárez-Obandob, Jeny Aguilera-Cruza, Sophia Marie Bartelsc, Sena Parkc, William Chandler Torreyc, Carlos Gómez-Restrepoa,d
a Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia
b Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia
c Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, United States
d Departmento de Psiquiatría y Salud Mental, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia
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including data management&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> Scaling-up research capacities in LMICs is important due to the growing interest in global health and international collaborative research projects&#44; and they require simultaneous access to data in different locations and reliable systems of data collection and storage&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#8211;4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">In LMICs&#44; the standard method for data collection is often a paper-based method&#44; which often results in dubious data with numerous errors&#46;<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#44;5</span></a> Electronic data capture &#40;EDC&#41; systems have evolved to replace traditional paper-based methods&#44; accelerate data collection and provide expedite access to data to researchers&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;7</span></a> Currently&#44; there are many electronic data collection &#40;EDC&#41; tools that may improve the data management process in LMICs and fulfill the requirements for international collaborative projects &#40;Microsoft access&#44; Epinfo&#44; Microsoft excel&#44; the APCDR electronic questionnaire&#41; but&#44; to our knowledge&#44; they have not been compared yet and complicate the selection of the appropriate software&#46; One tool&#44; highly used in biomedical research&#44; is the Research electronic data capture &#40;REDCap&#174;&#41; system&#46;<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8&#44;9</span></a> This software was designed by an informatics team at Vanderbilt university to support clinical and translational research&#46; It has many useful features that other EDC software often lack&#44; such as solid security settings&#44; intuitive software management&#44; easy development of data collection forms&#44; internet support&#44; and the fact that it does not require a high speed internet connection to run adequately&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;10</span></a> Therefore&#44; it may be a good choice when implementing data collection systems&#44; particularly in limited-resource settings&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">IBM Clinical Development&#44; Videoc&#44; SurveyMonkey and Qualtrics are solid commercial alternatives to REDCap and have a similar performance&#46; However&#44; unlike REDCap&#44; these tools are costly or they were not built specifically to support clinical researcher&#46;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> REDCap is currently used by researchers from 128 countries in all continents and from different branches of medicine and science&#46; Even if this software was initially used by researchers from high income countries such as Canada&#44; USA&#44; Singapore or Japan&#44; the number of users from LMICs have been increasing steadily since 2013&#46; Now&#44; more than 20&#37; of REDCap partners belong to LMICs<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> and may be related to the increasing production of academic outputs in many LMICs&#44; including Colombia&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> In this Latin American country&#44; the number of academic research and international partnerships has recently increased&#44;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> demanding commitment to rigorous ethical and scientific standards&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Many factors&#44; facilitators and barriers from the context where research takes place can strongly influence it&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#8211;18</span></a> Potential research sites in Colombia vary considerably&#46; Some have sufficient resources for high quality biomedical research and health care services&#44; whereas others face several difficulties that impede the development of academic projects and collaborations&#46; Those include scarce resources and infrastructure&#44; poor funding for some regions&#44; little or non-support from the government or academic institutions&#44; geographic challenges&#44; and very low rates of education and literacy&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;19&#44;20</span></a> Moreover&#44; even if there is government support in these regions&#44; the scientific bureaucracy and heavy clinical workload often discourages researchers to go further and hinders research activities&#46;<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">17&#44;21</span></a></p><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">The DIADA project</span><p id="par0025" class="elsevierStylePara elsevierViewall">The DIADA project is a large international collaboration currently underway in Colombia&#46; This multicenter project is run by researchers from the Pontificia Universidad Javeriana &#40;PUJ&#41;&#44; in Colombia&#44; and Dartmouth College &#40;DC&#41;&#44; in the United States&#46; The study seeks to evaluate the implementation of a technology-based model of care for depression and alcohol consumption disorders in different settings in Colombia &#40;6 sites&#44; including both rural and urban areas&#41;&#46; The model includes the use of a mental health therapeutics app &#40;Laddr from Square2&#41; that provides enhanced service delivery model for depression and alcohol use disorders in primary care and has been proven to enhance mental health outcomes&#46;<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">22&#44;23</span></a> An overview of DIADA project has been described elsewhere&#44;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a> though it should be noted that we collected baseline data and follow-ups every three-months over the course of a 12-month participation in the study&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">The aim of this case report is to describe the implementation of an integrated data management system for the DIADA project using the REDCap&#174; tool&#46;</p></span></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">We implemented our research data collection using REDCap to provide security&#44; privacy and confidentiality to all participants&#46; REDCap had tools that helped the research team overcome challenges in data collection from our six study sites throughout Colombia&#58; offline functionality&#44; mobile app support&#44; and the e-consent framework&#46; We set up REDCap&#174; for the DIADA project at the PUJ servers in Bogot&#225;&#44; Colombia&#44; thus&#44; all data was received in a central location&#46; The servers provided an encrypted Internet connection via 128-bit Secure Sockets Layer &#40;SLL&#41;&#44; the standard technology for securing eCommerce and eBanking transactions on the internet&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">We established a working group to design the database and the case report forms &#40;CRFs&#41;&#46; The database working group evaluated overall database architecture by site&#44; user requirements&#44; follow-up intervals and events&#46; Database development tasks were distributed in such a way that Dartmouth researchers developed the CRFs&#44; and Bogot&#225; researchers created the database and its events and arms&#46; Database internal logic was developed together&#46; Then&#44; we tested the overall database functionality with dummy data&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">We developed a Data Management Plan where members from both institutions could access the data collected at any time&#46; Two team members shared the Database Manager &#40;DM&#41; role and responsibilities &#40;one from PUJ&#44; and one from DC&#41;&#46; This role consisted of supervising the entire data management process and included multiple tasks&#44; such as&#44; controlling the database access and user rights for team members&#44; data quality monitoring and backup&#44; data export&#44; database updates and overall database administration&#46; The DM from Bogot&#225; was primarily in charge of controlling the database access&#44; database quality&#44; updates and data exports&#44; whereas the DM from Dartmouth performed regular data quality checks&#44; discrepancy management&#44; database updates and data exports&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">We conducted a formative assessment at each site to learn about their capacity&#44; computer literacy&#44; and internet access prior to the implementation of the project&#46; We provided each site with desktop computers and tablets with REDCap mobile app installed&#46; All research staff REDCap use training sessions with dummy data&#46;</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Data collection</span><p id="par0055" class="elsevierStylePara elsevierViewall">Data collection was performed in both the web version of REDCap and the mobile app installed in the tablet&#46; REDCap mobile app allowed offline data collection&#44; overcoming the challenges of poor internet connection&#44; and eased the electronic informed consent process&#46; Research staff completed the assessments on paper and transcribed them in REDCap at the end of the day in those situations when data collection was impossible&#44; such as no internet connection or electricity problems&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">We used REDCap e-consent framework for the informed consent process&#46; Patients could fill their information and sign the consent in the tablet&#44; after that we handed each individual a physical copy of the consent form that included the investigators contact information&#46; The electronic informed consent increased the acceptability of the process and served as a useful tool for the internal and external audit process&#46; In some study sites potential participants have poor computer and digital literacy&#44; thus&#44; we trained the research staff to support potential participants and participants completing the consent form&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Finally&#44; we followed internal data monitoring using a collaborative approach&#46; The DM at Dartmouth performed regular quality checks &#40;type of variables&#44; length of the information&#44; range of values&#44; coherence between information&#41; to avoid data errors and protocol deviations&#46; When an issue was identified&#44; the DM raised a query&#44; assigned it to a local team member&#44; and notified the site coordinator&#46; The Site Coordinator arranged a meeting with the corresponding team member to solve the query or provide a relevant response that was later reviewed and closed by the DM&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0070" class="elsevierStylePara elsevierViewall">At the time of writing this paper&#44; our use of REDCap enabled and eased the gathering of longitudinal data of 1254 individuals diagnosed with major depression&#44; alcohol use disorders&#44; or both&#46; One of the most interesting REDCap components is the longitudinal mode&#46; The longitudinal mode allowed us to capture data longitudinally and repeating CRFs with a minimal burden to the research staff and DMs&#46; Also&#44; the automatic creation of a unique identifier for each participant eased further longitudinal analysis&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> With the implementation of the longitudinal mode our research staff easily performed data collection both during recruitment and follow-ups&#46; Most of the issues and challenges were easily addressed through staff training&#44; retraining and site engagement&#46; We found similar challenges in the implementation across settings&#44; however some were related to the peculiarities of each study site&#46;</p><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Urban sites</span><p id="par0075" class="elsevierStylePara elsevierViewall">We found that internet connection was unstable&#44; even in urban sites&#59; surprisingly&#44; the quality of internet connection changed within the same building&#46; To face this challenge&#44; our research staff identified the areas with strong connectivity and collected the data using the online REDCap features&#46; In those areas with unstable connection&#44; they used the REDCap mobile app that allowed offline data collection&#44; including the e-consent signatures&#44; and uploaded the data at the end of the day&#46; In the extreme cases of power outages or high internet instability&#44; they used paper versions of CRFs and afterwards entry the data into REDCap at the end of the day&#46; This paper versions were securely stored or scanned to preserve a hard copy in case of data errors identified during our internal data monitoring process&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Another challenge was that research assistants had no previous experience with REDCap&#44; nor had a digital or computational background&#46; All researcher staff received training on REDCap main functions and performed practical exercises with dummy data to prevent this from causing errors&#46; In addition&#44; two researchers with expertise on the topic&#44; were available to solve any doubts or problems about REDCap use or overall data management and collection&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">One last challenge that we faced was insecurity&#46; In our context it is not rare for theft to happen in medical settings&#44; especially targeted to technological devices&#46; Therefore&#44; in each setting we destined one room to keep equipment safe and one person was assigned to oversee the lock down of this room on daily basis&#46; The tablets were embedded in kiosks with screws&#44; which make them difficult to remove&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Rural sites</span><p id="par0090" class="elsevierStylePara elsevierViewall">Availability of resources was a main challenge in rural and semi-rural settings&#46; Due to the lack of internet connection and computers or other technological devices&#44; we provided the sites with a desktop computer&#44; tablets for screening and data collection&#46; Rural sites had limited internet access and most of them did not have wireless internet connection&#46; Therefore&#44; we supported the sites in setting up Wi-Fi networks &#40;the highest quality available&#41; for research and internal use&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">At the time of the project implementation most of clinical and administrative data was collected using traditional paper-based methods&#46; We decided to include members of the community to build research capacity at very site regardless of its location&#46; Thus&#44; we faced similar challenges regarding computer and digital literacy as those we faced in urban sites&#44; with research staff and participants having limited computer literacy&#46; There were difficulties with the general use of computers&#44; smartphones&#44; e-mails&#44; excel sheets and other software&#46; We offered additional training&#44; created templates to ease software usage&#44; and a concise set of notes that research assistants could check for quick reference if needed&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">We also provided smartphones with unlimited data and voice calls that local research staff used to schedule and complete participant follow-ups&#44; and to contact researchers at PUJ at any time&#46; However&#44; since the coverage was not ideal&#44; the resolution of doubts was sometimes delayed&#46; In those cases&#44; local researchers relied mainly on offline features of REDCap&#44; and to a lesser extent on paper-based methods&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Regarding REDCap&#44; members from the data management team &#40;both from Javeriana and Dartmouth&#41; were always available to answer doubts or solve emerging issues&#46; Finally&#44; one PUJ researcher&#44; with background in Biomedical Informatics visited the sites approximately every month&#46; This was an opportunity to retrain the staff&#44; check the devices and resolve any issues&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0110" class="elsevierStylePara elsevierViewall">As a LMIC&#44; we realize that acquiring a proprietary EDC software is not always feasible&#46; Therefore&#44; REDCap availability at no charge for institutional partners is one of its greatest features&#46; Even if an institution requires a license&#44; joining the REDCap network and obtaining one is not difficult&#46; Furthermore&#44; we found that the use of this software in our institutions prompted the collaboration between departments and divisions &#40;medicine&#44; language&#44; engineering&#44; technology&#44; etc&#46;&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12&#44;25</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In general&#44; there were no unsolved queries or doubts about the software&#46; After the training meetings&#44; research assistants managed to collect and entry &#40;if necessary&#41; all data into REDCap and overcome all challenges&#46; One useful strategy to increase data quality for our team consisted of pairing research assistants to review each other&#8217;s data and decrease the error rate&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Although other researchers describe REDCap as a very intuitive software&#44;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> we noticed that in our context this may be true for those individuals with some computer literacy or background in informatics or computers&#46; Even when the individuals had prior knowledge about computers&#44; our research staff reported that advanced features were not as easy to use as have been reported in other studies&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> One additional issue that has been mentioned in other studies is that individuals often delete records by mistake&#46;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> We did not find this event&#44; perhaps due to the efforts in training our staff&#44; and specifically&#44; to the practical exercises &#40;simulation&#41; in which&#44; they could experience real problems and try solving them&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">One feature that our team found very useful was the Online Designer&#46; It enabled us to design our CRFs according to the specific needs of Project DIADA and facilitated all ambulatory assessments&#46; It has been reported that it can even allow participants to fill the questionnaires&#44; upload images and other type of files according to the design stablished by the researchers&#44;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> however we had no need to use this feature&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">On the other hand&#44; as a collaborative team&#44; the internal data collection monitoring benefited of the tool &#8216;Open query&#8217; to ensure data was correct&#44; consistent&#44; and applicable&#46; REDCap version 10&#46;3&#46;1 provides a solution with the tool &#8220;REDCap messenger&#8221;&#44; where the team collecting the data and the reviewers have a direct communication to solve data issues and inconsistencies&#44; reducing the time to solve them&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">To conclude&#44; REDcap&#8217;s collaborative work features<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> were very important for Project DIADA considering that our research team was an international collaboration&#46; These features enabled researchers&#8217; simultaneous access to data and allowed researchers from Dartmouth assess data quality without stopping data collection from local researchers&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conclusions</span><p id="par0140" class="elsevierStylePara elsevierViewall">From our experiences&#44; REDCap is a feasible and efficient electronic data capture software to use in further research in low-resource settings&#44; especially in similar contexts to Colombia&#46; The software allowed us to face &#40;1&#41; logistical problems&#44; such as simultaneous data collection in different places&#44; &#40;2&#41; privacy and data protection&#44; and &#40;3&#41; remote data quality assurance&#46; REDCap facilitated the whole data management process&#44; which included collection&#44; storing&#44; and monitoring the data&#46; Even if some REDCap features were not as intuitive for staff and participants with little computer literacy&#44; in our experience&#44; a short training was enough to overcome this issue&#46; The only requirement to fully implement data capture with REDCap is a reliable Internet connection&#44; however&#44; when the network is not stable&#44; researchers can collect the data without it and pull the information into the central repository afterwards&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Ethical statement</span><p id="par0145" class="elsevierStylePara elsevierViewall">This research project was approved by the Institutional Review Board at Dartmouth College in the United States of America and Pontificia Universidad Javeriana in Colombia&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Funding</span><p id="par0150" class="elsevierStylePara elsevierViewall">Research reported in this publication was funded by the <span class="elsevierStyleGrantSponsor" id="gs1">National Institute of Mental Health &#40;NIMH&#41;</span> of the <span class="elsevierStyleGrantSponsor" id="gs2">National Institutes of Health &#40;NIH&#41;</span> under Award Number <span class="elsevierStyleGrantNumber" refid="gs2">1U19MH109988</span> &#40;Multiple Principal Investigators&#58; Lisa A&#46; Marsch&#44; Ph&#46;D&#46; and Carlos G&#243;mez-Restrepo&#44; MD&#41;&#46; The contents are solely the opinion of the authors and do not necessarily represent the views of the NIH or the United States Government&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conflicts of interest</span><p id="par0155" class="elsevierStylePara elsevierViewall">Authors report not having any conflicts of interest&#46; Dr&#46; Lisa A&#46; Marsch&#44; one of the principal investigators on this project&#44; is affiliated with the business that developed the mobile intervention platform that is being used in this research&#46; This relationship is extensively managed by Dr&#46; Marsch and her academic institution&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The implementation of new technologies in medical research&#44; such as novel big storage systems&#44; has recently gained importance&#46; Electronic data capture is a perfect example as it powerfully facilitates medical research&#46; However&#44; its implementation in resource-limited settings&#44; where basic clinical resources&#44; internet access&#44; and human resources may be reduced might be a problem&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">In this paper we described our approach for building a network architecture for data collection to achieve our objectives using a REDCap&#174; tool in Colombia and provide guidance for data collection in similar settings&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Conclusions</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">REDCap is a feasible and efficient electronic data capture software to use in similar contexts to Colombia&#46; The software facilitated the whole data management process and is a way to build research capacities in resourced-limited settings&#46;</p></span>"
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        "resumen" => "<span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Contexto</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">La implementaci&#243;n de nuevas tecnolog&#237;as en la investigaci&#243;n m&#233;dica&#44; como los nuevos sistemas de gran almacenamiento de datos&#44; recientemente han ganado importancia&#46; El almacenamiento electr&#243;nico de datos es un ejemplo perfecto ya que facilita poderosamente la investigaci&#243;n m&#233;dica&#46; Sin embargo&#44; su implementaci&#243;n en ambientes con recursos limitados&#44; donde los recursos b&#225;sicos cl&#237;nicos&#44; el acceso a internet y el recurso humano podr&#237;an ser reducidos&#44; suponen un problema&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">M&#233;todos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">En este art&#237;culo describimos nuestro acercamiento para construir una red arquitect&#243;nica para la recolecci&#243;n de datos&#44; en aras de alcanzar nuestros objetivos mediante la utilizaci&#243;n de la herramienta REDCap&#174; en Colombia y proveer una gu&#237;a para la recolecci&#243;n de datos en condiciones similares&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Conclusiones</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">REDCap es un software de almacenamiento electr&#243;nico de datos eficiente y encontramos que resulta posible su utilizaci&#243;n en contextos similares a Colombia&#46; Este software facilit&#243; el proceso del manejo de los datos y es una manera de construir capacidades investigativas en contextos donde los recursos son limitados&#46;</p></span>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as&#58; Marroquin Rivera A&#44; Rosas-Romero JC&#44; Castro SM&#44; Su&#225;rez-Obando F&#44; Aguilera-Cruz J&#44; Bartels SM&#44; et al&#46; Implementando un sistema de recolecci&#243;n de datos basado en REDCap para la evaludaci&#243;n de la salud mental en Colombia&#58; el caso del Proyecto DIADA&#46; Rev Colomb Psiquiat&#46; 2021&#59;50&#58;110&#46;</p>"
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                      "titulo" => "Data management and sharing policy&#58; the first step towards promoting data sharing"
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                            0 => "N&#46; Waithira"
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ISSN: 25303120
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