2002
DOI: 10.1086/502067
|View full text |Cite
|
Sign up to set email alerts
|

Use of Censored Data to Monitor Surgical-Site Infections

Abstract: Practice guidelines are needed for the international monitoring for postdischarge SSIs and the calculation of SSI rates. The proportion of patients seen 30 days after their operation is a major quality criterion for SSI monitoring and should be routinely given in monitoring reports, oral communications, and publications to compare results obtained by different teams

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
15
0

Year Published

2004
2004
2013
2013

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 19 publications
(16 citation statements)
references
References 13 publications
1
15
0
Order By: Relevance
“…However, the reliability and validity of infection reporting must be assessed regularly [23]. The main obstacles in interpreting SSI rates are variations in the diagnosis of SSI and in postoperative follow-up duration [24].…”
Section: Discussionmentioning
confidence: 99%
“…However, the reliability and validity of infection reporting must be assessed regularly [23]. The main obstacles in interpreting SSI rates are variations in the diagnosis of SSI and in postoperative follow-up duration [24].…”
Section: Discussionmentioning
confidence: 99%
“…This observation is supported by Thibon et al . (35), who advise that if results obtained from different teams are to be comparable, then monitoring protocols must also be harmonised. Table 1 suggests that not all studies identified who was responsible for observation.…”
Section: Discussionmentioning
confidence: 99%
“…In the NNIS risk index, patients not reached by post discharge surveillance are counted as uninfected (provided that they did not develop the infection during hospital stay) [31] , artificially reducing the measured SSI risk. The problem of incomplete followup after discharge has been largely overlooked in SSI riskmodeling, and there are few reports in the literature in which the problem of missing post discharge information has been explicitly accounted for [37][38][39][40][41][42] . In a recent study [43] , we have found that incorporating a post discharge surveillance indicator to the NNIS risk index can add potentially useful clinical information, although concerns about the mechanism that leads to missing post discharge information must be borne in mind.…”
Section: The National Nosocomial Infections Surveillance Risk Indexmentioning
confidence: 99%