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      Impairments following COVID-19 infection: manifestations and investigations of related factors

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          Abstract

          The COVID-19 pandemic had a major global impact on the health and wellbeing for many individuals. Even though the infection rates have gone down due to the availability of vaccines, the consequences of the disease are still present due to persistent symptoms among individuals. The aim of the current study was to map long‐term impairments in individuals infected with COVID-19 by applying the framework of the World Health Organization’s International Classification of Functioning, Disability and Health (ICF) and also investigate the factors related to the context of an individual’s life influencing the impairments. A web-survey that targeted individuals that had been infected with COVID-19 was used. The survey included a range of measures covering contextual factors and factors related to body functions and structures and post-COVID impairments. A total of 501 individuals were included in the study (with a mean age of 47.6 years). 96% of the respondents reported at least one moderate-to-severe impairment due to COVID-19 infection and the most frequent one was fatigue. In that, 79.6% and 86.9% of the study sample reported moderate-to-severe brain fatigue and tiredness or lack of energy, respectively. Severity of COVID-19 infection appeared as the strongest risk factor for post-COVID impairments. Based on the results, interventions can be tailored to help individuals with post-COVID-19 condition. This could be one way lessening the effect of COVID-19 on health care and society as a whole.

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

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              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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                Author and article information

                Contributors
                Farzaneh.badinlou@ki.se
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 April 2023
                21 April 2023
                2023
                : 13
                : 6564
                Affiliations
                [1 ]GRID grid.467087.a, ISNI 0000 0004 0442 1056, Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute, , Stockholm Health Care Services, ; Region Stockholm, Stockholm, Sweden
                [2 ]GRID grid.24381.3c, ISNI 0000 0000 9241 5705, Medical Unit Medical Psychology, Women’s Health and Allied Health Professionals Theme, , Karolinska University Hospital, ; Solna, Sweden
                [3 ]GRID grid.10548.38, ISNI 0000 0004 1936 9377, Department of Psychology, , Stockholm University, ; Stockholm, Sweden
                [4 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, , University of Gothenburg, ; Gothenburg, Sweden
                [5 ]GRID grid.1649.a, ISNI 000000009445082X, Department of Occupational Therapy and Physiotherapy, , Sahlgrenska University Hospital, ; Gothenburg, Sweden
                Article
                33810
                10.1038/s41598-023-33810-y
                10119844
                37085606
                33e08a87-daf8-4f93-88a6-bc85ab15c091
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 December 2022
                : 19 April 2023
                Funding
                Funded by: Karolinska Institute
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                psychology,public health
                Uncategorized
                psychology, public health

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