Evaluation of the risk of misidentification of women in a public maternity hospital

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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Main Authors: Tase,Terezinha Hideco, Quadrado,Ellen Regina Sevilla, Tronchin,Daisy Maria Rizatto
Format: Digital revista
Language:English
Published: Associação Brasileira de Enfermagem 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000100120
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spelling oai:scielo:S0034-716720180001001202017-12-14Evaluation of the risk of misidentification of women in a public maternity hospitalTase,Terezinha HidecoQuadrado,Ellen Regina SevillaTronchin,Daisy Maria Rizatto Patient Identification Systems Quality of Health Care Patient Safety Evaluation of Health Services Maternal-Child Nursing 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.info:eu-repo/semantics/openAccessAssociação Brasileira de EnfermagemRevista Brasileira de Enfermagem v.71 n.1 20182018-02-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000100120en10.1590/0034-7167-2017-0134
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country Brasil
countrycode BR
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region America del Sur
libraryname SciELO
language English
format Digital
author Tase,Terezinha Hideco
Quadrado,Ellen Regina Sevilla
Tronchin,Daisy Maria Rizatto
spellingShingle Tase,Terezinha Hideco
Quadrado,Ellen Regina Sevilla
Tronchin,Daisy Maria Rizatto
Evaluation of the risk of misidentification of women in a public maternity hospital
author_facet Tase,Terezinha Hideco
Quadrado,Ellen Regina Sevilla
Tronchin,Daisy Maria Rizatto
author_sort Tase,Terezinha Hideco
title Evaluation of the risk of misidentification of women in a public maternity hospital
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
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.
publisher Associação Brasileira de Enfermagem
publishDate 2018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000100120
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