Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya

Background: In low-income countries, surgical site infections (SSIs) are a very frequent form of hospital-acquired infection. Surveillance is an important method for controlling SSI but it is unclear how this can best be performed in low-income settings. Aim: To examine the epidemiological character...

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Hauptverfasser: Aiken, A, Wanyoro, A, Mwangi, J, Mulingwa, P, Wanjohi, J, Njoroge, J, Juma, F, Mugoya, I, Scott, J, Hall, A
Format: Journal article
Sprache:English
Veröffentlicht: 2013
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author Aiken, A
Wanyoro, A
Mwangi, J
Mulingwa, P
Wanjohi, J
Njoroge, J
Juma, F
Mugoya, I
Scott, J
Hall, A
author_facet Aiken, A
Wanyoro, A
Mwangi, J
Mulingwa, P
Wanjohi, J
Njoroge, J
Juma, F
Mugoya, I
Scott, J
Hall, A
author_sort Aiken, A
collection OXFORD
description Background: In low-income countries, surgical site infections (SSIs) are a very frequent form of hospital-acquired infection. Surveillance is an important method for controlling SSI but it is unclear how this can best be performed in low-income settings. Aim: To examine the epidemiological characteristics of various components of an SSI surveillance programme in a single Kenyan hospital. Methods: The study assessed the inter-observer consistency of the surgical wound class (SWC) and American Society of Anesthesiologists (ASA) scores using the kappa statistic. Post-discharge telephone calls were evaluated against an outpatient clinician review 'gold standard'. The predictive value of components of the Centers for Disease Control and Prevention - National Healthcare Safety Network (CDC-NHNS) risk index was examined in patients having major obstetric or gynaecological surgery (OandG) between August 2010 and February 2011. Findings: After appropriate training, surgeons and anaesthetists were found to be consistent in their use of the SWC and ASA scores respectively. Telephone calls were found to have a sensitivity of 70% [95% confidence interval (CI): 47-87] and a specificity of 100% (95% CI: 95-100) for detection of post-discharge SSI in this setting. In 954 patients undergoing major OandG operations, the SWC score was the only parameter in the CDC-NHNS risk index model associated with the risk of SSI (odds ratio: 4.00; 95% CI: 1.21-13.2; P = 0.02). Conclusions: Surveillance for SSI can be conducted in a low-income hospital setting, although dedicated staff, intensive training and local modifications to surveillance methods are necessary. Surveillance for post-discharge SSI using telephone calls is imperfect but provides a practical alternative to clinic-based diagnosis. The SWC score was the only predictor of SSI risk in OandG surgery in this context. © 2012 The Healthcare Infection Society.
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spelling oxford-uuid:59ad38c2-2adc-4fee-b157-965e543459bd2022-03-26T17:11:09ZEvaluation of surveillance for surgical site infections in Thika Hospital, KenyaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:59ad38c2-2adc-4fee-b157-965e543459bdEnglishSymplectic Elements at Oxford2013Aiken, AWanyoro, AMwangi, JMulingwa, PWanjohi, JNjoroge, JJuma, FMugoya, IScott, JHall, ABackground: In low-income countries, surgical site infections (SSIs) are a very frequent form of hospital-acquired infection. Surveillance is an important method for controlling SSI but it is unclear how this can best be performed in low-income settings. Aim: To examine the epidemiological characteristics of various components of an SSI surveillance programme in a single Kenyan hospital. Methods: The study assessed the inter-observer consistency of the surgical wound class (SWC) and American Society of Anesthesiologists (ASA) scores using the kappa statistic. Post-discharge telephone calls were evaluated against an outpatient clinician review 'gold standard'. The predictive value of components of the Centers for Disease Control and Prevention - National Healthcare Safety Network (CDC-NHNS) risk index was examined in patients having major obstetric or gynaecological surgery (OandG) between August 2010 and February 2011. Findings: After appropriate training, surgeons and anaesthetists were found to be consistent in their use of the SWC and ASA scores respectively. Telephone calls were found to have a sensitivity of 70% [95% confidence interval (CI): 47-87] and a specificity of 100% (95% CI: 95-100) for detection of post-discharge SSI in this setting. In 954 patients undergoing major OandG operations, the SWC score was the only parameter in the CDC-NHNS risk index model associated with the risk of SSI (odds ratio: 4.00; 95% CI: 1.21-13.2; P = 0.02). Conclusions: Surveillance for SSI can be conducted in a low-income hospital setting, although dedicated staff, intensive training and local modifications to surveillance methods are necessary. Surveillance for post-discharge SSI using telephone calls is imperfect but provides a practical alternative to clinic-based diagnosis. The SWC score was the only predictor of SSI risk in OandG surgery in this context. © 2012 The Healthcare Infection Society.
spellingShingle Aiken, A
Wanyoro, A
Mwangi, J
Mulingwa, P
Wanjohi, J
Njoroge, J
Juma, F
Mugoya, I
Scott, J
Hall, A
Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title_full Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title_fullStr Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title_full_unstemmed Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title_short Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya
title_sort evaluation of surveillance for surgical site infections in thika hospital kenya
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