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The Effect of Surgical Care Improvement Project (SCIP) Compliance on Surgical Site Infections (SSI)

Bibliographic Data

ID9103916
AuthorsGuido Cataife (Impaq International (United States), corresponding author), Daniel A Weinberg (Impaq International (United States), corresponding author), Hui-Hsing Wong, Hui–Hsing Wong (Office of the Assistant Secretary for Planning and Evaluation), Katherine L Kahn (RAND Corporation)
Year2014
Volume52
IssueSupplement 1
PagesS66-S73
Publication date2014-02-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000028
PMID24430269
OpenAlexW2017426523
LanguageEN
References cited6

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<0.05). Rural hospitals had effect sizes several times larger than urban hospitals (P<0.05). A third-core measure, Timely Antibiotic Stop, showed no robust association. CONCLUSIONS: This analysis supports a clinically and statistically meaningful relationship between adherence to 2 SCIP measures and SSI rates, supporting the validity of the 2 publicly available healthcare-associated infection metrics

Binomial regression · Family medicine · Health care · Incidence (geometry) · Logistic regression · Surgical site infection · Emergency Medicine · Infection Control in Healthcare · Internal Medicine · Medicine · Pharmacy · Surgery · Surgical site infection prevention · Urinary Tract Infections Management

  • The incidental parameter problem since 1948

    Open Access•Tony Lancaster•Journal of Econometrics•2000

Highly citedNo

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