The purpose of this study is to evaluate the prevalence of pre-surgical patients who are MRSA carriers. From an evidence-based practice perspective, findings from this study can be considered in the evaluation of the hospital SOP mandating pre-surgical MRSA screening requirements for patients with scheduled surgeries. The central hypothesis to be addressed in this study is whether the MRSA colonization and subsequent post-operative infection are the equivalent in these populations.
Design and Methods: Subjects in this study of 975 pre-operative, scheduled surgical patients are in one of the three following groups: * Group 1 (N=325): Allocation sample of surgical patients required to be MRSA screened per hospital SOP (including patients having a positive MRSA history, orthopedic surgery, undergoing dialysis, or transfer from another hospital, nursing home, skilled nursing facility, or jail). * Group 2 (N=650): Randomized sample (1:1 ratio) of surgical patients not required to be MRSA screened per hospital SOP, to one of the following two groups: * 2a (N=325): MRSA screening; or * 2b (N=325): No MRSA screening. All subjects were followed for 30 days post-operatively to determine the incidence of post-operative infection. Treatment, diagnostic, and hospitalization data were collected for patients diagnosed with post-operative infection.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
975
MRSA preoperative screening and post operative infection rate, 30 days post operative
Inova Health Care Services
Falls Church, Virginia, United States
Inova Loudoun Hospital
Leesburg, Virginia, United States
The primary objective of this study is to compare the prevalence of MRSA colonization and its relationship to post-operative infection in patients who are currently pre-operatively MRSA screened per SOP to those who are not.
Time frame: 30 days
The secondary objective is to compare medical charges associated with diagnosis and treatment of post-operative infections for these groups using cost-effectiveness analysis.
Time frame: 30 days
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