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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results1 to 4 of 4 Research Studies Displayed
Segal CG, Waller DK, Tilley B
An evaluation of differences in risk factors for individual types of surgical site infections after colon surgery.
The authors developed four independent, multivariate, predictive models to assess the unique associations between risk factors and each surgical site infection (SSI) group: superficial, deep, organ space, and an aggregate of all 3 types of SSIs. They found that unique risks for superficial SSIs include diabetes, chronic obstructive pulmonary disease, and dyspnea; deep SSIs had the greatest magnitude of association with BMI and the greatest incidence of wound disruption; and organ space SSIs were often owing to anastomotic leaks and were uniquely associated with disseminated cancer, preoperative dialysis, preoperative radiation treatment, and a bleeding disorder. They concluded that more effective prevention strategies may be developed by reporting and examining each type of SSI separately.
Citation: Segal CG, Waller DK, Tilley B . An evaluation of differences in risk factors for individual types of surgical site infections after colon surgery. Surgery 2014 Nov;156(5):1253-60. doi: 10.1016/j.surg.2014.05.010.
Keywords: Risk, Healthcare-Associated Infections (HAIs), Adverse Events, Surgery, Patient Safety
Bish EK, El-Amine H, Steighner LA
A socio-technical, probabilistic risk assessment model for surgical site infections in ambulatory surgery centers.
The researchers sought to identify the risk factors associated with surgical site infections (SSIs) resulting from procedures performed at ambulatory surgery centers (ASCs) and to design an intervention to mitigate the likelihood of SSIs for the most common risk factors that were identified by the socio-technical probabilistic risk assessment (ST-PRA) tool for a particular surgical procedure. They found that failure to protect the patient effectively accounted for 51.9% of SSIs in the ambulatory care setting. Critical components of this event included skin preparation, antibiotic administration, staff training, proper response to glove punctures during surgery, and adherence to surgical preparation rules related to the wearing of jewelry, watches, and artificial nails. They determined that, assuming a 75% reduction in noncompliance on any combination of 2 of these 5 components, the risk for an SSI decreased.
Citation: Bish EK, El-Amine H, Steighner LA . A socio-technical, probabilistic risk assessment model for surgical site infections in ambulatory surgery centers. Infect Control Hosp Epidemiol 2014 Oct;35 Suppl 3:S133-41. doi: 10.1086/677824.
Keywords: Ambulatory Care and Surgery, Risk, Surgery, Healthcare-Associated Infections (HAIs), Patient Safety, Injuries and Wounds, Adverse Events
Chopra V, Ratz D, Kuhn L
Peripherally inserted central catheter-related deep vein thrombosis: contemporary patterns and predictors.
This study was designed to determine patient, provider, and device outcome of deep vein thrombosis (DVT) associated with peripherally inserted central catheters (PICCs). Larger PICC gauge, especially in the use of recently diagnosed cancer patients, increases the likelihood of DVT.
Citation: Chopra V, Ratz D, Kuhn L . Peripherally inserted central catheter-related deep vein thrombosis: contemporary patterns and predictors. J Thromb Haemost 2014 Jun;12(6):847-54. doi: 10.1111/jth.12549..
Keywords: Adverse Events, Blood Clots, Patient Safety, Risk
Ezaz G, Long JB, Gross CP
Risk prediction model for heart failure and cardiomyopathy after adjuvant trastuzumab therapy for breast cancer.
The investigators sought to develop a clinical risk score that identifies older women with breast cancer who are at higher risk of heart failure or cardiomyopathy after trastuzumab. That found that a 7-factor risk score was able to stratify 3-year risk of heart failure/cardiomyopathy after trastuzumab between the lowest and highest risk groups by more than 2-fold in a Medicare population.
Citation: Ezaz G, Long JB, Gross CP . Risk prediction model for heart failure and cardiomyopathy after adjuvant trastuzumab therapy for breast cancer. J Am Heart Assoc 2014 Feb;3(1):e000472. doi: 10.1161/jaha.113.000472.
Keywords: Cancer: Breast Cancer, Heart Disease and Health, Medication, Patient Safety, Risk