Tool for early identification of Depressive Symptoms based on the PHQ-9

• Christine Saki Nagahama Ungefehr Federal Institute of Brasília http://orcid.org/0009-0003-7579-9152
• Thiago Moura Ribas de Oliveira Federal Institute of Brasília https://orcid.org/0009-0008-4390-8779
• Kadidja Valéria Reginaldo de Oliveira Federal Institute of Brasília https://orcid.org/0000-0002-1197-2978
• Sylvana Karla S. L. Santos Federal Institute of Brasília https://orcid.org/0000-0001-8490-5883

DOI: https://doi.org/10.5753/ihc_estendido.2025.12993

Abstract

Introduction: Depression is a mental disorder that affects millions of people worldwide. Objective: To develop a chatbot to support the early identification and monitoring of depressive symptoms, based on the PHQ-9, which scores nine diagnostic criteria for major depression according to the DSM-IV. Methodology: The Scrum framework was applied for development, and Figma was used as a prototyping tool. Results: The system was implemented with intuitive interfaces, facilitating screening and enabling continuous monitoring.

Keywords: depression, chatbot, accessibility

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