Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya.
dc.contributor.author | Wanyoro, A. K. | |
dc.contributor.author | Aiken, A. M. | |
dc.contributor.author | Mwangi, J. | |
dc.contributor.author | Mulingwa, P. | |
dc.contributor.author | Wanjohi, J. | |
dc.contributor.author | Njoroge, J. | |
dc.contributor.author | Juma, F. | |
dc.contributor.author | Mugoya, I K | |
dc.contributor.author | Scott, J. A. G. | |
dc.contributor.author | Hall, A. J. | |
dc.date.accessioned | 2013-10-29T12:24:57Z | |
dc.date.available | 2013-10-29T12:24:57Z | |
dc.date.issued | 2013-02 | |
dc.description | DOI:10.1016/j.jhin.2012.11.003 | en_US |
dc.description.abstract | 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 (O&G) 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 O&G 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 O&G surgery in this context. | en_US |
dc.identifier.citation | The Journal of hospital infection (Impact Factor: 3.01). 01/2013 | en_US |
dc.identifier.uri | http://ir-library.ku.ac.ke/handle/123456789/7543 | |
dc.language.iso | en | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Kenya | en_US |
dc.subject | Sub-Saharan Africa | en_US |
dc.subject | Surgical site infection | en_US |
dc.subject | Surveillance | en_US |
dc.title | Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya. | en_US |
dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Evaluation of surveillance....pdf
- Size:
- 188.89 KB
- Format:
- Adobe Portable Document Format
- Description:
- Full Text Article
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: