Toward an Agile System: Iranian Information System for Covid-19-Affected Patients Data Collection from Iranian Hospitals.

COVID-19's rapid spreads has caused a global pandemic. On 19th February 2020, Iran reported its first confirmed cases of infections in Qom City and the number of diagnosed cases and the death toll rose exponentially in March [1-3]. Managing the disease, which is considered a pandemic according to the World Health Organization (WHO) [4], requires definite approaches differing according to various factors in each country, which may also lead to (in)effective dealing with the disease. In addition, using international data and information, and WHO advice, especially in the crisis and therapeutic procedures, is one of the best crisis management strategies [5]. For every plan by governances, the first step is collecting information on epidemic distribution for the purpose of isolating provinces and cities at a national scale. Thus, Ministry of Health and Medical Education of Iran (MOHME) attempted to collect the minimum required data on the infection-affected patients based on medical records and epidemiological factors, such as demographic data (gender, age and national code), exposure history (close contact with the infected, suspect patients or even having traveled) and signs and symptoms (fever, cough, shortness or difficulties in breathing, fatigue, anorexia, hemoptysis, sputum production, dyspnea, Myalgia, Pharyngalgia, nausea, vomiting, Diarrhea, Headache, Abdominal pain, Dizziness, etc.). Therefore, to ensure accuracy and validity, and to speed up data collection in an area, Information Technology (IT) tools were required [6]. In this regard, developing an information system with a simple format and user-friendly interface in the shortest possible time was the aim. This study presents the local information system developed in March 2020, which has been registering hospitalized Covide-19-affected patients in Iranian hospitals up till now. In other words, this paper introduces features and procedures of one of the national systems as a health registry that includes clinical information on admitted Covid-19 patients in Iranian hospitals from admission to discharge or death. This system is supported by MOHME, and along with outpatient Point of Care Information Systems (POCS), feeds the national and international pandemic reports and decisions.

The Global Consortium Study of Neurological Dysfunction in COVID-19 (GCS-NeuroCOVID): Development of Case Report Forms for Global Use.

Since its original report in January 2020, the coronavirus disease 2019 (COVID-19) due to Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) infection has rapidly become one of the deadliest global pandemics. Early reports indicate possible neurological manifestations associated with COVID-19, with symptoms ranging from mild to severe, highly variable prevalence rates, and uncertainty regarding causal or coincidental occurrence of symptoms. As neurological involvement of any systemic disease is frequently associated with adverse effects on morbidity and mortality, obtaining accurate and consistent global data on the extent to which COVID-19 may impact the nervous system is urgently needed. To address this need, investigators from the Neurocritical Care Society launched the Global Consortium Study of Neurological Dysfunction in COVID-19 (GCS-NeuroCOVID). The GCS-NeuroCOVID consortium rapidly implemented a Tier 1, pragmatic study to establish phenotypes and prevalence of neurological manifestations of COVID-19. A key component of this global collaboration is development and application of common data elements (CDEs) and definitions to facilitate rigorous and systematic data collection across resource settings. Integration of these elements is critical to reduce heterogeneity of data and allow for future high-quality meta-analyses. The GCS-NeuroCOVID consortium specifically designed these elements to be feasible for clinician investigators during a global pandemic when healthcare systems are likely overwhelmed and resources for research may be limited. Elements include pediatric components and translated versions to facilitate collaboration and data capture in Latin America, one of the epicenters of this global outbreak. In this manuscript, we share the specific data elements, definitions, and rationale for the adult and pediatric CDEs for Tier 1 of the GCS-NeuroCOVID consortium, as well as the translated versions adapted for use in Latin America. Global efforts are underway to further harmonize CDEs with other large consortia studying neurological and general aspects of COVID-19 infections. Ultimately, the GCS-NeuroCOVID consortium network provides a critical infrastructure to systematically capture data in current and future unanticipated disasters and disease outbreaks.