Contributions of health technologies in risk assessment for suicide behavior: an integrative review

Detalhes bibliográficos
Autor(a) principal: Rocha,Daniel de Macêdo
Data de Publicação: 2021
Outros Autores: Cavalcante,Andreia Karla de Carvalho Barbosa, Oliveira,Aline Costa de, Benício,Claudia Daniella Avelino Vasconcelos, Santos,Ana Maria Ribeiro dos, Nogueira,Lídya Tolstenko
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Enfermagem (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021001000302
Resumo: ABSTRACT Objective: to identify how health technologies contribute to risk assessment for suicidal behavior. Methods: an integrative review carried out on the MEDLINE, CINAHL, Web of Science, SCOPUS, LILACS and BDENF databases. The sample consisted of 12 primary studies, with no temporal or language delimitation. Analysis of results occurred descriptively. Results: the technologies included assistance and teaching aspects favorable to data screening, monitoring and navigation, capable of predicting individual, biological, clinical, psychological, environmental and social markers for suicidal behavior. Thus, measurement scale, software and computational algorithms constituted valid and sensitive instruments for improving performance, expanding skills and knowledge, good care practices, effective communication and assistance planning. Conclusion: the identified technologies proved to be effective in identifying risk states for suicidal behavior, representing effective resources for directing care and necessary interventions.
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spelling Contributions of health technologies in risk assessment for suicide behavior: an integrative reviewSuicideSuicide, AttemptRisk MeasurementTechnologies; NursingABSTRACT Objective: to identify how health technologies contribute to risk assessment for suicidal behavior. Methods: an integrative review carried out on the MEDLINE, CINAHL, Web of Science, SCOPUS, LILACS and BDENF databases. The sample consisted of 12 primary studies, with no temporal or language delimitation. Analysis of results occurred descriptively. Results: the technologies included assistance and teaching aspects favorable to data screening, monitoring and navigation, capable of predicting individual, biological, clinical, psychological, environmental and social markers for suicidal behavior. Thus, measurement scale, software and computational algorithms constituted valid and sensitive instruments for improving performance, expanding skills and knowledge, good care practices, effective communication and assistance planning. Conclusion: the identified technologies proved to be effective in identifying risk states for suicidal behavior, representing effective resources for directing care and necessary interventions.Associação Brasileira de Enfermagem2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021001000302Revista Brasileira de Enfermagem v.74 suppl.3 2021reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2020-0205info:eu-repo/semantics/openAccessRocha,Daniel de MacêdoCavalcante,Andreia Karla de Carvalho BarbosaOliveira,Aline Costa deBenício,Claudia Daniella Avelino VasconcelosSantos,Ana Maria Ribeiro dosNogueira,Lídya Tolstenkoeng2021-03-17T00:00:00Zoai:scielo:S0034-71672021001000302Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2021-03-17T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false
dc.title.none.fl_str_mv Contributions of health technologies in risk assessment for suicide behavior: an integrative review
title Contributions of health technologies in risk assessment for suicide behavior: an integrative review
spellingShingle Contributions of health technologies in risk assessment for suicide behavior: an integrative review
Rocha,Daniel de Macêdo
Suicide
Suicide, Attempt
Risk Measurement
Technologies; Nursing
title_short Contributions of health technologies in risk assessment for suicide behavior: an integrative review
title_full Contributions of health technologies in risk assessment for suicide behavior: an integrative review
title_fullStr Contributions of health technologies in risk assessment for suicide behavior: an integrative review
title_full_unstemmed Contributions of health technologies in risk assessment for suicide behavior: an integrative review
title_sort Contributions of health technologies in risk assessment for suicide behavior: an integrative review
author Rocha,Daniel de Macêdo
author_facet Rocha,Daniel de Macêdo
Cavalcante,Andreia Karla de Carvalho Barbosa
Oliveira,Aline Costa de
Benício,Claudia Daniella Avelino Vasconcelos
Santos,Ana Maria Ribeiro dos
Nogueira,Lídya Tolstenko
author_role author
author2 Cavalcante,Andreia Karla de Carvalho Barbosa
Oliveira,Aline Costa de
Benício,Claudia Daniella Avelino Vasconcelos
Santos,Ana Maria Ribeiro dos
Nogueira,Lídya Tolstenko
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha,Daniel de Macêdo
Cavalcante,Andreia Karla de Carvalho Barbosa
Oliveira,Aline Costa de
Benício,Claudia Daniella Avelino Vasconcelos
Santos,Ana Maria Ribeiro dos
Nogueira,Lídya Tolstenko
dc.subject.por.fl_str_mv Suicide
Suicide, Attempt
Risk Measurement
Technologies; Nursing
topic Suicide
Suicide, Attempt
Risk Measurement
Technologies; Nursing
description ABSTRACT Objective: to identify how health technologies contribute to risk assessment for suicidal behavior. Methods: an integrative review carried out on the MEDLINE, CINAHL, Web of Science, SCOPUS, LILACS and BDENF databases. The sample consisted of 12 primary studies, with no temporal or language delimitation. Analysis of results occurred descriptively. Results: the technologies included assistance and teaching aspects favorable to data screening, monitoring and navigation, capable of predicting individual, biological, clinical, psychological, environmental and social markers for suicidal behavior. Thus, measurement scale, software and computational algorithms constituted valid and sensitive instruments for improving performance, expanding skills and knowledge, good care practices, effective communication and assistance planning. Conclusion: the identified technologies proved to be effective in identifying risk states for suicidal behavior, representing effective resources for directing care and necessary interventions.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0034-71672021001000302
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021001000302
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-7167-2020-0205
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 Brasileira de Enfermagem
publisher.none.fl_str_mv Associação Brasileira de Enfermagem
dc.source.none.fl_str_mv Revista Brasileira de Enfermagem v.74 suppl.3 2021
reponame:Revista Brasileira de Enfermagem (Online)
instname:Associação Brasileira de Enfermagem (ABEN)
instacron:ABEN
instname_str Associação Brasileira de Enfermagem (ABEN)
instacron_str ABEN
institution ABEN
reponame_str Revista Brasileira de Enfermagem (Online)
collection Revista Brasileira de Enfermagem (Online)
repository.name.fl_str_mv Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)
repository.mail.fl_str_mv reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br
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