Selected article for: "high level and study period"

Author: de Oliveira, Rinaldo Eduardo Machado de Almeida-Pititto Bianca Binhardi Bárbara Aparecida Barbosa Francisco Franco Laercio Joel de Melo Karla Fabiana Santana Malerbi Domingos Augusto Cherino Teixeira Carla Regina de Souza
Title: Diabetesvid: Web Survey Methods for Diabetes Self-Care and Resilience in the COVID-19 Pandemic in Brazil
  • Cord-id: pi80dxml
  • Document date: 2021_1_1
  • ID: pi80dxml
    Snippet: ABSTRACT Aim To describe Brazilian web survey methods termed DIABETESvid by assessing the diabetic individuals’ self-care practices and their resilience in the COVID-19 pandemic. Methods This is a cross-sectional study on data collected from web surveys in the period between 1st September and 19th October 2020, in which socio-demographic, clinical, self-care and resilience variables were investigated. A questionnaire was elaborated and implemented by using the Research Electronic Data Capture
    Document: ABSTRACT Aim To describe Brazilian web survey methods termed DIABETESvid by assessing the diabetic individuals’ self-care practices and their resilience in the COVID-19 pandemic. Methods This is a cross-sectional study on data collected from web surveys in the period between 1st September and 19th October 2020, in which socio-demographic, clinical, self-care and resilience variables were investigated. A questionnaire was elaborated and implemented by using the Research Electronic Data Capture platform. Results A total of 1,633 participants were eligible for this study, with a higher frequency of females, 46.5% being aged between 18 and 39 years old, 40.9% being diagnosed with diabetes within 1 to 10 years and all having high level of education. Most of the participants was living in south-eastern Brazil, self-reported type 1 diabetes mellitus and had access to the survey link on WhatsApp. In this 7-week study, it was evidenced that the survey response rate was higher in the first week (38.5%) and number of accesses were increased on Thursdays (20.2%) and in the night (40.2%). Conclusion The method used here can be useful as a baseline for future web surveys involving diabetic individuals so that several analyses can be conducted in the clinical care and academic contexts.

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