A novel experience in the use of control charts for the detection of nosocomial infection outbreaks
Main Author: | |
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Publication Date: | 2011 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Clinics |
Download full: | https://www.revistas.usp.br/clinics/article/view/19479 |
Summary: | OBJECTIVE: This study aims to compare different control charts to monitor the nosocomial infection rate per 1,000 patient-days. METHODS: The control charts considered in this study were the traditional Shewhart chart and a variation of this, the Cumulative Sum and Exponentially Weighted Moving Average charts. RESULTS: We evaluated 238 nosocomial infections that were registered in the intensive care unit and were detected by the Committee for Nosocomial Infection Control in a university hospital in Belo Horizonte, Brazil, in 2004 and 2005. The results showed that the traditional Shewhart chart was the most appropriate method for monitoring periods with large deviations, while the Exponentially Weighted Moving Average and Cumulative Sum charts were better for monitoring periods with smaller deviations of the mean infection rate. CONCLUSION: The ability to detect nosocomial outbreaks was improved by using the information provided by all three different control charts. |
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A novel experience in the use of control charts for the detection of nosocomial infection outbreaks Quality ControlCross InfectionIntensive Care UnitsNormal DistributionPoisson Distribution OBJECTIVE: This study aims to compare different control charts to monitor the nosocomial infection rate per 1,000 patient-days. METHODS: The control charts considered in this study were the traditional Shewhart chart and a variation of this, the Cumulative Sum and Exponentially Weighted Moving Average charts. RESULTS: We evaluated 238 nosocomial infections that were registered in the intensive care unit and were detected by the Committee for Nosocomial Infection Control in a university hospital in Belo Horizonte, Brazil, in 2004 and 2005. The results showed that the traditional Shewhart chart was the most appropriate method for monitoring periods with large deviations, while the Exponentially Weighted Moving Average and Cumulative Sum charts were better for monitoring periods with smaller deviations of the mean infection rate. CONCLUSION: The ability to detect nosocomial outbreaks was improved by using the information provided by all three different control charts. Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/1947910.1590/S1807-59322011001000004Clinics; Vol. 66 No. 10 (2011); 1681-1689 Clinics; v. 66 n. 10 (2011); 1681-1689 Clinics; Vol. 66 Núm. 10 (2011); 1681-1689 1980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/19479/21542Gomes, Isabel CristinaMingoti, Sueli AparecidaOliveira, Cláudia Di Lorenzoinfo:eu-repo/semantics/openAccess2012-05-23T16:42:57Zoai:revistas.usp.br:article/19479Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2012-05-23T16:42:57Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
title |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
spellingShingle |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks Gomes, Isabel Cristina Quality Control Cross Infection Intensive Care Units Normal Distribution Poisson Distribution |
title_short |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
title_full |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
title_fullStr |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
title_full_unstemmed |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
title_sort |
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks |
author |
Gomes, Isabel Cristina |
author_facet |
Gomes, Isabel Cristina Mingoti, Sueli Aparecida Oliveira, Cláudia Di Lorenzo |
author_role |
author |
author2 |
Mingoti, Sueli Aparecida Oliveira, Cláudia Di Lorenzo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gomes, Isabel Cristina Mingoti, Sueli Aparecida Oliveira, Cláudia Di Lorenzo |
dc.subject.por.fl_str_mv |
Quality Control Cross Infection Intensive Care Units Normal Distribution Poisson Distribution |
topic |
Quality Control Cross Infection Intensive Care Units Normal Distribution Poisson Distribution |
description |
OBJECTIVE: This study aims to compare different control charts to monitor the nosocomial infection rate per 1,000 patient-days. METHODS: The control charts considered in this study were the traditional Shewhart chart and a variation of this, the Cumulative Sum and Exponentially Weighted Moving Average charts. RESULTS: We evaluated 238 nosocomial infections that were registered in the intensive care unit and were detected by the Committee for Nosocomial Infection Control in a university hospital in Belo Horizonte, Brazil, in 2004 and 2005. The results showed that the traditional Shewhart chart was the most appropriate method for monitoring periods with large deviations, while the Exponentially Weighted Moving Average and Cumulative Sum charts were better for monitoring periods with smaller deviations of the mean infection rate. CONCLUSION: The ability to detect nosocomial outbreaks was improved by using the information provided by all three different control charts. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/19479 10.1590/S1807-59322011001000004 |
url |
https://www.revistas.usp.br/clinics/article/view/19479 |
identifier_str_mv |
10.1590/S1807-59322011001000004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/19479/21542 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 66 No. 10 (2011); 1681-1689 Clinics; v. 66 n. 10 (2011); 1681-1689 Clinics; Vol. 66 Núm. 10 (2011); 1681-1689 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222757328257024 |