Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Trends in Psychiatry and Psychotherapy |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892021000300200 |
Resumo: | 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. |
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Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patientsScalesuicideassessmentquestionnaireAbstract 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.Associação de Psiquiatria do Rio Grande do Sul2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892021000300200Trends in Psychiatry and Psychotherapy v.43 n.3 2021reponame:Trends in Psychiatry and Psychotherapyinstname:Sociedade de Psiquiatria do Rio Grande do Sulinstacron:APRGS10.47626/2237-6089-2020-0079info:eu-repo/semantics/openAccessAndreotti,Ezequiel TeixeiraIpuchima,Jaqueline RamiresPivetta,Marcos Vinicius LudwigArieta,Angel GabrielCazella,Silvio CésarHerbert,Juliana SilvaCardoso,Nicolas de OliveiraMachado,Wagner de LaraFerrão,Ygor Arzenoeng2022-02-21T00:00:00Zoai:scielo:S2237-60892021000300200Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2237-6089&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.phprevista@aprs.org.br|| rodrigo_grassi@terra.com.br2238-00192237-6089opendoar:2022-02-21T00:00Trends in Psychiatry and Psychotherapy - Sociedade de Psiquiatria do Rio Grande do Sulfalse |
dc.title.none.fl_str_mv |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
title |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
spellingShingle |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients Andreotti,Ezequiel Teixeira Scale suicide assessment questionnaire |
title_short |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
title_full |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
title_fullStr |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
title_full_unstemmed |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
title_sort |
Detect-S: an mHealth application to assist health professionals to identify suicide risk in hospitalized patients |
author |
Andreotti,Ezequiel Teixeira |
author_facet |
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 |
author_role |
author |
author2 |
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 |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Scale suicide assessment questionnaire |
topic |
Scale suicide assessment questionnaire |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892021000300200 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892021000300200 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.47626/2237-6089-2020-0079 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação de Psiquiatria do Rio Grande do Sul |
publisher.none.fl_str_mv |
Associação de Psiquiatria do Rio Grande do Sul |
dc.source.none.fl_str_mv |
Trends in Psychiatry and Psychotherapy v.43 n.3 2021 reponame:Trends in Psychiatry and Psychotherapy instname:Sociedade de Psiquiatria do Rio Grande do Sul instacron:APRGS |
instname_str |
Sociedade de Psiquiatria do Rio Grande do Sul |
instacron_str |
APRGS |
institution |
APRGS |
reponame_str |
Trends in Psychiatry and Psychotherapy |
collection |
Trends in Psychiatry and Psychotherapy |
repository.name.fl_str_mv |
Trends in Psychiatry and Psychotherapy - Sociedade de Psiquiatria do Rio Grande do Sul |
repository.mail.fl_str_mv |
revista@aprs.org.br|| rodrigo_grassi@terra.com.br |
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1754209281998061568 |