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Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients
Andreotti, Ezequiel Teixeira; Ipuchima, Jaqueline Ramires; Pivetta, Marcos Vinicius Ludwig; Arieta, Angel Gabriel; Cazella, Silvio César; Herbert, Juliana Silva; Cardoso, Nicolas de Oliveira; Machado, Wagner de Lara; Ferrão, Ygor Arzeno.
  • Andreotti, Ezequiel Teixeira; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Ipuchima, Jaqueline Ramires; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Pivetta, Marcos Vinicius Ludwig; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Arieta, Angel Gabriel; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Cazella, Silvio César; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Herbert, Juliana Silva; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
  • Cardoso, Nicolas de Oliveira; Pontifícia Universidade Católica do Rio Grande do Sul. Porto Alegre. BR
  • Machado, Wagner de Lara; Pontifícia Universidade Católica do Rio Grande do Sul. Porto Alegre. BR
  • Ferrão, Ygor Arzeno; Universidade Federal de Ciências da Saúde de Porto Alegre. Porto Alegre. BR
Trends psychiatry psychother. (Impr.) ; 43(3): 200-206, Jul.-Sept. 2021. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1347936
ABSTRACT
Abstract Introduction Suicide is a serious public health problem that affects the whole world. This study describes development of the prototype for an mHealth application (app) intended to assist healthcare professionals to identify suicide risk in hospitalized patients and reports on testing of the app by some of these professionals, conducted to confirm its functionality. Method This is applied exploratory research into use of Information Technology within the healthcare field, based on application prototyping for mobile devices. The research was conducted at the Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA) from 2017 to 2019. Six healthcare professionals, one data scientist, and three undergraduate students in Biomedical Informatics took part in the study. All research participants signed the free and informed consent form. Results The main findings show that the development team created a prototype named Detect-S, which became a cross-platform application (iOS and Android) offering 16 functions. Conclusion It can be concluded that Detect-S has the potential to be a positive technological instrument that can be tested in a hospital setting to assist healthcare professionals to identify and manage patients with at risk of suicide.


Full text: Available Index: LILACS (Americas) Language: English Journal: Trends psychiatry psychother. (Impr.) Journal subject: Psychiatry Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Pontifícia Universidade Católica do Rio Grande do Sul/BR / Universidade Federal de Ciências da Saúde de Porto Alegre/BR

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Full text: Available Index: LILACS (Americas) Language: English Journal: Trends psychiatry psychother. (Impr.) Journal subject: Psychiatry Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Pontifícia Universidade Católica do Rio Grande do Sul/BR / Universidade Federal de Ciências da Saúde de Porto Alegre/BR