ABSTRACT
A student support system (SSS) has a crucial role in the absorption, retention, and success of students in virtual learning. The purpose of this scoping review was to identify and map the available evidence regarding the dimensions and components of the SSS in virtual learning. This study was conducted in accordance with the methodology of the Joanna Briggs Institute (JBI) for scoping reviews. Our search strategy was based on using search engines, such as MEDLINE, EMBASE, Scopus, WoS, CINAHL, ERIC, PsycINFO, ProQuest, and Google Scholar. The articles were published in renowned medical education journals, including Medical Education, Medical Teacher, and Academic Medicine, and the reference lists of identified and reviewed articles were searched manually. The search results were imported into EndNote X20, and after removing duplicates and screenings, 42 studies met the inclusion criteria and were included in the review. A descriptive- analytical approach was employed, including a numerical count of study characteristics (quantitative) and template analysis (qualitative). Five dimensions were identified in the SSS in virtual learning: types of support, domains of support, stages of support, instigating of support, levels of support, and their components and subcomponents. The findings of this study depict a comprehensive roadmap and have an important contribution to the knowledge body of SSS in virtual learning. We suggest system developers, planners, and higher education officials to improve the quality of virtual learning by applying these findings in their planning and decision-making.
ABSTRACT
BACKGROUND: To describe the protocol for developing a national inherited retinal disease (IRD) registry in Iran and present its initial report. METHODS: This community-based participatory research was approved by the Ministry of Health and Medical Education of Iran in 2016. To provide the minimum data set (MDS), several focus group meetings were held. The final MDS was handed over to an engineering team to develop a web-based software. In the pilot phase, the software was set up in two referral centers in Iran. Final IRD diagnosis was made based on clinical manifestations and genetic findings. Ultimately, patient registration was done based on all clinical and non-clinical manifestations. RESULTS: Initially, a total of 151 data elements were approved with Delphi technique. The registry software went live at www. IRDReg.org based on DHIS2 open source license agreement since February 2016. So far, a total of 1001 patients have been registered with a mean age of 32.41±15.60 years (range, 3 months to 74 years). The majority of the registered patients had retinitis pigmentosa (42%, 95% CI: 38.9% to 45%). Genetic testing was done for approximately 20% of the registered individuals. CONCLUSION: Our study shows successful web-based software design and data collection as a proof of concept for the first IRD registry in Iran. Multicenter integration of the IRD registry in medical centers throughout the country is well underway as planned. These data will assist researchers to rapidly access information about the distribution and genetic patterns of this disease.
