2012
DOI: 10.1016/j.jamcollsurg.2012.08.007
|View full text |Cite
|
Sign up to set email alerts
|

Surgical Site Infection Prevention: A Qualitative Analysis of an Individualized Audit and Feedback Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(16 citation statements)
references
References 28 publications
0
16
0
Order By: Relevance
“… 28 In one qualitative study, a total of 18 health care professionals from a large tertiary center were interviewed using semistructured interviews. 30 …”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“… 28 In one qualitative study, a total of 18 health care professionals from a large tertiary center were interviewed using semistructured interviews. 30 …”
Section: Resultsmentioning
confidence: 99%
“…Interestingly, only two reviewed studies 26 , 30 reported on bundle compliance. Although the primary intent of these care bundles was to prevent SSI, few studies 26 , 30 elaborated on which individual components enhanced multidisciplinary collaboration and teamwork. Inconsistencies or a lack of standardization in any aspect of care-bundle delivery where all team members are not adequately trained in its implementation may render the bundle less effective.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Participants raised this under theme 1. Feedback focused on person and site has been shown to be desirable in the monitoring of surgical site infections [21], suggesting that more detailed, personalised information is better than an overall score incorporating results for a whole ward or surgical team. Participants explained that feedback from current electronic monitoring systems is limited by end users' comprehension, as it does not reveal specific information about when HH does or does not occur.…”
Section: Hh Monitoring Metricmentioning
confidence: 99%