Desenvolvimento e avaliação de software digital para coleta de dados clínico-epidemiológicos de pacientes em condições pós-COVID-19

Maria Gabriela Miranda Fontenele; Francisca Elisângela Teixeira Lima; Sabrina de Souza Gurgel Florencio; Glaubervania Alves Lima; Lívia Maia Pascoal; Lorena Pinheiro Barbosa

doi:10.36517/2175-6783.20252695767

Authors

Maria Gabriela Miranda Fontenele Federal University of Ceará https://orcid.org/0000-0001-5910-921X
Francisca Elisângela Teixeira Lima Federal University of Ceará https://orcid.org/0000-0002-7543-6947
Sabrina de Souza Gurgel Florencio Escola de Saúde Pública do Ceará https://orcid.org/0000-0002-2180-5946
Glaubervania Alves Lima Federal University of Ceará https://orcid.org/0000-0001-7210-4368
Lívia Maia Pascoal Federal University of Maranhão https://orcid.org/0000-0003-0876-3996
Lorena Pinheiro Barbosa Federal University of Ceará https://orcid.org/0000-0002-8006-7517

DOI:

https://doi.org/10.36517/2175-6783.20252695767

Keywords:

Software; Infecções por Coronavírus; Coleta de Dados; Enfermagem em Saúde Pública; Tecnologia Biomédica.

Abstract

Objective: to develop and evaluate a digital software tool for collecting clinical-epidemiological data from patients with post-COVID-19 conditions. Methods: technology development and evaluation study conducted in three phases: content validation by health experts; software development; and assessment of technical quality and functional performance. Content was validated by nine health-care specialists. The software was evaluated by these professionals and by nine computer science experts. Results: the software includes modules for sociodemographic information, social determinants of health, clinical conditions, and quality of life. Overall content validity coefficients were: clarity of language, 0.92; practical pertinence, 0.94; and theoretical relevance, 0.94. Expert assessments indicated satisfactory levels for functional suitability, reliability, usability, performance efficiency, compatibility, security, maintainability, and portability. Conclusion: the software demonstrated evidence of content validity and was deemed functional, with potential for use in research to monitor individuals with post-COVID-19 conditions. Contributions to practice: the tool represents a methodological innovation for data collection, promoting standardized, secure, and high-quality information in public health research.

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