Evaluation of the risk of misidentification of women in a public maternity hospital
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
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=S0034-71672018000100120 |
Resumo: | ABSTRACT Objective: To determine the frequency of similar names and hospital records of women in a public teaching maternity hospital and the risk of misidentification resulting from the similarity in spelling and pronunciation of the names and in records. Method: Quantitative, documental and case study of 5,975 admissions that occurred between 2011 and 2014. The data name, admission and discharge date, date of birth, hospital record and bed number were collected from an electronic information system. Analysis encompassed descriptive statistics and design of an algorithm for comparison of text and sound. Results: Examination of the names revealed that 86% of the misidentification cases resulted from identical surnames and 96.5% from a sound similarity in the first names. There were patients with identical first and last names at least one day a week. Conclusion: The risk of misidentification of patients is a reality, which stresses the importance of checking and pronouncing the complete names correctly. |
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Revista Brasileira de Enfermagem (Online) |
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Evaluation of the risk of misidentification of women in a public maternity hospitalPatient Identification SystemsQuality of Health CarePatient SafetyEvaluation of Health ServicesMaternal-Child NursingABSTRACT Objective: To determine the frequency of similar names and hospital records of women in a public teaching maternity hospital and the risk of misidentification resulting from the similarity in spelling and pronunciation of the names and in records. Method: Quantitative, documental and case study of 5,975 admissions that occurred between 2011 and 2014. The data name, admission and discharge date, date of birth, hospital record and bed number were collected from an electronic information system. Analysis encompassed descriptive statistics and design of an algorithm for comparison of text and sound. Results: Examination of the names revealed that 86% of the misidentification cases resulted from identical surnames and 96.5% from a sound similarity in the first names. There were patients with identical first and last names at least one day a week. Conclusion: The risk of misidentification of patients is a reality, which stresses the importance of checking and pronouncing the complete names correctly.Associação Brasileira de Enfermagem2018-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000100120Revista Brasileira de Enfermagem v.71 n.1 2018reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2017-0134info:eu-repo/semantics/openAccessTase,Terezinha HidecoQuadrado,Ellen Regina SevillaTronchin,Daisy Maria Rizattoeng2017-12-14T00:00:00Zoai:scielo:S0034-71672018000100120Revistahttp://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:2017-12-14T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Evaluation of the risk of misidentification of women in a public maternity hospital |
title |
Evaluation of the risk of misidentification of women in a public maternity hospital |
spellingShingle |
Evaluation of the risk of misidentification of women in a public maternity hospital Tase,Terezinha Hideco Patient Identification Systems Quality of Health Care Patient Safety Evaluation of Health Services Maternal-Child Nursing |
title_short |
Evaluation of the risk of misidentification of women in a public maternity hospital |
title_full |
Evaluation of the risk of misidentification of women in a public maternity hospital |
title_fullStr |
Evaluation of the risk of misidentification of women in a public maternity hospital |
title_full_unstemmed |
Evaluation of the risk of misidentification of women in a public maternity hospital |
title_sort |
Evaluation of the risk of misidentification of women in a public maternity hospital |
author |
Tase,Terezinha Hideco |
author_facet |
Tase,Terezinha Hideco Quadrado,Ellen Regina Sevilla Tronchin,Daisy Maria Rizatto |
author_role |
author |
author2 |
Quadrado,Ellen Regina Sevilla Tronchin,Daisy Maria Rizatto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Tase,Terezinha Hideco Quadrado,Ellen Regina Sevilla Tronchin,Daisy Maria Rizatto |
dc.subject.por.fl_str_mv |
Patient Identification Systems Quality of Health Care Patient Safety Evaluation of Health Services Maternal-Child Nursing |
topic |
Patient Identification Systems Quality of Health Care Patient Safety Evaluation of Health Services Maternal-Child Nursing |
description |
ABSTRACT Objective: To determine the frequency of similar names and hospital records of women in a public teaching maternity hospital and the risk of misidentification resulting from the similarity in spelling and pronunciation of the names and in records. Method: Quantitative, documental and case study of 5,975 admissions that occurred between 2011 and 2014. The data name, admission and discharge date, date of birth, hospital record and bed number were collected from an electronic information system. Analysis encompassed descriptive statistics and design of an algorithm for comparison of text and sound. Results: Examination of the names revealed that 86% of the misidentification cases resulted from identical surnames and 96.5% from a sound similarity in the first names. There were patients with identical first and last names at least one day a week. Conclusion: The risk of misidentification of patients is a reality, which stresses the importance of checking and pronouncing the complete names correctly. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-02-01 |
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=S0034-71672018000100120 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000100120 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2017-0134 |
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.71 n.1 2018 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 |
_version_ |
1754303034089799680 |