2008
DOI: 10.1016/j.jhin.2008.05.011
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Does stratifying surgical site infection rates by the National Nosocomial Infection Surveillance risk index influence the rank order of the hospitals in a surveillance system?

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Cited by 12 publications
(6 citation statements)
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“…First of all, the sample size of this study is relatively small, and it may be not sensitive enough to detect the potential risk factors related to intracranial infection. Secondly, previous study [ 41 ] has reported that the national-nosocomial-infection-surveillance-risk-index (NNIS) may be an influencing factor for infection in neurosurgery patients, limited by the clinical data, we failed to include NNIS and other possible influencing factors for stratified analysis. Thirdly, we did not have the information regarding pathogens involved, it’s necessary to evaluate the number of gram-positive vs gram-negative infections, and the predictors of infections could be different, further investigations on those issues are needed in the future.…”
Section: Discussionmentioning
confidence: 99%
“…First of all, the sample size of this study is relatively small, and it may be not sensitive enough to detect the potential risk factors related to intracranial infection. Secondly, previous study [ 41 ] has reported that the national-nosocomial-infection-surveillance-risk-index (NNIS) may be an influencing factor for infection in neurosurgery patients, limited by the clinical data, we failed to include NNIS and other possible influencing factors for stratified analysis. Thirdly, we did not have the information regarding pathogens involved, it’s necessary to evaluate the number of gram-positive vs gram-negative infections, and the predictors of infections could be different, further investigations on those issues are needed in the future.…”
Section: Discussionmentioning
confidence: 99%
“…The alternative would be to recommend crude SSI rates for benchmarking because they are easier to interpret and are associated with a lower workload. Crude SSI benchmarking rates should also be considered because stratifying SSI rates by the NNIS risk index does not influence the rank order of the hospitals in a surveillance system, as demonstrated by previous research [9].…”
Section: Discussionmentioning
confidence: 99%
“…However, contrary to what we expected, our results suggest that SSI risk was similar among all operated patients and hospitals. Brummer et al 8 also ranked hospitals, although they used a different methodology. Their study covered 12 procedures, including HPRO and KPRO.…”
Section: Discussionmentioning
confidence: 99%
“…1,2 Feedback on SSI rates can inform efforts to reduce SSIs, [3][4][5][6][7] therefore, the data presented should be simple, timely, and clear. 8 The overall crude rates for both superficial and deep SSIs are widely used when the national surveillance networks provide feedback to participating hospitals. However, extra caution must be taken when comparing hospitals because the differences may be related to varying patient populations (ie, case mix) and/or varying surveillance methods in hospitals, sensitivity of case finding, type of medical procedures undertaken, and so on.…”
Section: Infect Control Hosp Epidemiol 2017;38:423-429mentioning
confidence: 99%
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