Dataset Information

Use of Data Mining to Determine Usage Patterns of an Online Evaluation Platform During the COVID-19 Pandemic.

ABSTRACT: MenPas is a psychosocial assessment platform developed by the University of Malaga in 2008. There has been a significant increase in data traffic during the period of confinement by COVID-19 (March and April '20) compared to the same period in the previous year. The main goal to achieve in this work is to determine the patterns of use of this platform on both period of time. So, we want to respond to the following question: So, we the following question: Has the COVID-19 Pandemic changed the pattern of the Menpas users? In order to respond it, cluster analysis techniques (Data Mining) have been used to classify people taking surveys into quotient sets (cluster). This is a multivariate technique for dividing data into sets to that are as homogeneous as possible within themselves and heterogeneous among themselves. Specifically, the K-Means algorithm has been used for this analysis, which is based on the evaluation of the distance between data and the average of each variable. So, it is recommended to discover patterns or relationships among the data. Specifically, the use of the following questionnaires has been analyzed: Competitive State Anxiety Inventory-2 (CSAI-2), State Trait Anxiety Inventory (STAI), Profile of Mood State (POMS), Resilience Scale (RS), Sport Performance Psychological Inventory (IPED), Maslach Burnout Inventory (MBI) and Self-concept Form-5 (AF-5). The analyses have shown changes in cluster formation between 2019 and 2020 based on the variables gender, age, marital status or physical practice. Therefore, the analyses carried out have been sensitive to determine several profiles of people using the MenPas platform because there are changes in the characteristics of the user groups that have carried out the analyzed tests.

SUBMITTER: Reigal RE

PROVIDER: S-EPMC7545964 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Use of Data Mining to Determine Usage Patterns of an Online Evaluation Platform During the COVID-19 Pandemic.

Reigal Rafael E RE Pastrana-Brincones José Luis JL González-Ruiz Sergio Luis SL Hernández-Mendo Antonio A Morillo-Baro Juan Pablo JP Morales-Sánchez Verónica V

Frontiers in psychology 20200925

MenPas is a psychosocial assessment platform developed by the University of Malaga in 2008. There has been a significant increase in data traffic during the period of confinement by COVID-19 (March and April '20) compared to the same period in the previous year. The main goal to achieve in this work is to determine the patterns of use of this platform on both period of time. So, we want to respond to the following question: So, we the following question: Has the COVID-19 Pandemic changed the pat ...[more]

PMID: 33101157

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Project description:BackgroundTo explore the use of a digestive endoscopy professional online platform by domestic endoscopists and its application effect on endoscopists' continuing medical education, analyse the related problems of continuing medical education using this method, and propose targeted improvement suggestions.MethodsBased on the "Doctor's Circle" app, a questionnaire was sent to all members who successfully registered on the Hebei Biliary and Pancreatic Endoscopy Diagnosis and Treatment Alliance online platform. The questionnaire was available for 30 days. The questionnaire survey results were collected and counted for a grouping comparison.ResultsBy the deadline, 703 completed questionnaires had been received. After the registered doctors joined the platform, 469 (66.7%) experienced a significant influence on their own endoscopic operation ability level, and 354 (50.3%) felt a significant improvement in their ability to diagnose biliary- and pancreatic-related diseases. The application effect of the platform on members' continuing medical education was affirmed by the vast majority of registered doctors. The clinical specialty of registered doctors, the length of time they joined the platform, the length of time they participated in the platform activities each time, and whether they played back course videos after the live broadcast of the course on the platform were the main factors affecting the application effect on continuing medical education (P < 0.05). Registered doctors who benefited significantly from the platform used it for 6-12 months, participated in activities for 1-2 hours each time, and often played back course videos.ConclusionThe new model of continuing medical education based on an online platform breaks through the constraints of traditional models and meets the individualized needs of every medical worker to improve their comprehension level. At present, the global outbreak of COVID-19 makes this learning mode increasingly popular among medical workers. We should constantly improve the organization of the content and methods of continuing medical education courses, make the online platform better serve the majority of medical workers, and effectively improve the comprehension levels of clinicians.

Project description:BackgroundThe COVID-19 pandemic and containment measures have severely affected families around the world. It is frequently assumed that digital technologies can supplement and perhaps even replace services for families. This is challenging in conditions of high device and data costs as well as poor internet provision and access, raising concerns about widening inequalities in availability of support and consequent effects on child and family outcomes. Very few studies have examined these issues, including in low- and middle-income countries.ObjectiveThe study objectives were two-fold. The first objective was to gather data on the impact of the COVID-19 pandemic on families of young children using an online survey. The second objective was to assess the feasibility of using a data-free online platform to conduct regular surveys and, potentially, to provide support for parents and families of young children in South Africa.MethodsWe used a data-free mobile messenger platform to conduct a short digital survey of the impact of the COVID-19 pandemic on caring for young children in South Africa. We report on the methodological processes and preliminary findings of the online survey.ResultsMore than 44,000 individuals accessed the survey link and 16,217 consented to the short survey within 96 hours of its launch. Respondents were predominantly from lower classes and lower-middle classes, representing the majority of the population, with urban residential locations roughly proportionate to national patterns and some underrepresentation of rural households. Mothers comprised 70.2% (11,178/15,912) of respondents and fathers comprised 29.8% (4734/15,912), representing 18,672 children 5 years of age and younger. Response rates per survey item ranged from 74.8% (11,907/15,912) at the start of the survey to 50.3% (8007/15,912) at completion. A total of 82.0% (12,729/15,912) of parents experienced at least one challenge during the pandemic, and 32.4% (2737/8441) did not receive help when needed from listed sources. Aggregate and individual findings in the form of bar graphs were made available to participants to view and download once they had completed the survey. Participants were also able to download contact details for support and referral services at no data cost.ConclusionsData-free survey methodology breaks new ground and demonstrates potential not previously considered. Reach is greater than achieved through phone surveys and some social media platforms, men are not usually included in parent surveys, costs are lower than phone surveys, and the technology allows for immediate feedback to respondents. These factors suggest that zero-rated, or no-cost, services could provide a feasible, sustainable, and equitable basis for ongoing interactions with families of young children.

Dataset Information

Use of Data Mining to Determine Usage Patterns of an Online Evaluation Platform During the COVID-19 Pandemic.

Publications

Use of Data Mining to Determine Usage Patterns of an Online Evaluation Platform During the COVID-19 Pandemic.

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