Introduction: The COVID-19 pandemic showed a 25% increase in disorders such as depression and anxiety during its first year. In Colombia, it is estimated that 40% of the population will face a mental disorder in their lifetime, highlighyting the need to implement tools for the early detection of men...
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| Format: | Article |
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https://revistas.sena.edu.co/index.php/CITEISA/article/view/6751 |
| Summary: | Introduction: The COVID-19 pandemic showed a 25% increase in disorders such as depression and anxiety during its first year. In Colombia, it is estimated that 40% of the population will face a mental disorder in their lifetime, highlighyting the need to implement tools for the early detection of mental health risks.
Objective: To develop digital tools for the early detection of mental health risks using the SRQ (Self-Report Questionnaire) and ASSIST instruments in a population of SENA apprentices.
Methodology : A sotiware development methodology was followed to create digital tools, which were validated through self-administered screenings in a representative sample of apprentices. The SRQ was used to detect disorders such as depression and anxiety, while ASSIST focused on the risk of substance use.
Results: A total of 361 screenings were conducted using the SRQ, of which 76% were women and 23% were men. Additionally, 276 screenings were conducted with the ASSIST instrument, applied to individuals over 18 years old. Of these, 74.6% were women, 23.6% were men, and 1.8% were non-binary. The results showed a moderate risk of substance use in 22% of participants.
Conclusions: The digitization of instruments such as SRQ and ASSIST proved effective in identifying mental health risks. The integration of these tools facilitates timely interventions and a preventive approach, benefiting mental health in educational contexts. |
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