The effect of Surgical Care Improvement Project (SCIP) compliance on surgical site infections (SSI)
| Autor: | Katherine L. Kahn, Hui-Hsing Wong, Daniel A. Weinberg, Guido Cataife |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
Cross Infection Guideline adherence business.industry Incidence (epidemiology) Hospitals Rural Public Health Environmental and Occupational Health MEDLINE Rural location Quality Improvement Hospitals United States Anti-Bacterial Agents Lower incidence Patient safety Hospitals Urban Surgical Care Improvement Project Surgical site Emergency medicine Practice Guidelines as Topic medicine Humans Surgical Wound Infection Guideline Adherence business |
| Zdroj: | Medical care. 52(2 Suppl 1) |
| ISSN: | 1537-1948 |
| Popis: | BACKGROUND The Surgical Care Improvement Project (SCIP) has developed a set of process compliance measures in an attempt to reduce the incidence of surgical site infections (SSIs). Previous research has been inconclusive on whether compliance with these measures is associated with lower SSI rates. OBJECTIVES To determine whether hospitals with higher levels of compliance with SCIP measures have lower incidence of SSIs and to identify the measures that are most likely to drive this association. DATA AND METHODS Analysis of linked SCIP compliance rates and SSIs on 295 hospital groups observed annually over the study period 2007-2010. A hospital group comprises all hospitals sharing identical categories for location by state, teaching status, bed size, and urban/rural location. We used a generalized linear model regression with logistic link and binomial family to estimate the association between 3 SCIP measures and SSI rates. RESULTS Hospital groups with higher compliance rates had significantly lower SSI rates for 2 SCIP measures: antibiotic timing and appropriate antibiotic selection. For a hospital group of median characteristics, a 10% improvement in the measure provision of antibiotic 1 hour before intervention led to a 5.3% decrease in the SSI rates (P |
| Databáze: | OpenAIRE |
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