Johanna Vostok

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BACKGROUND Detection of outbreaks of hospital-acquired infections is often based on simple rules, such as the occurrence of three new cases of a single pathogen in two weeks on the same ward. These rules typically focus on only a few pathogens, and they do not account for the pathogens' underlying prevalence, the normal random variation in rates, and(More)
OBJECTIVE The incidence of surgical site infection (SSI) after hysterectomy ranges widely from 2% to 21%. A specific risk stratification index could help to predict more accurately the risk of incisional SSI following abdominal hysterectomy and would help determine the reasons for the wide range of reported SSI rates in individual studies. To increase our(More)
BACKGROUND Screening methods that use automated data may streamline surgical site infection (SSI) surveillance and improve the accuracy and comparability of data on SSIs. We evaluated the use of automated inpatient diagnosis codes and pharmacy data to identify SSIs after arthroplasty. METHODS This retrospective cohort study at 8 hospitals involved(More)
OBJECTIVE To evaluate the use of inpatient pharmacy and administrative data to detect surgical site infections (SSIs) following hysterectomy and colorectal and vascular surgery. DESIGN Retrospective cohort study. SETTING Five hospitals affiliated with academic medical centers. PATIENTS Adults who underwent abdominal or vaginal hysterectomy, colorectal(More)
OBJECTIVE To evaluate whether longitudinal insurer claims data allow reliable identification of elevated hospital surgical site infection (SSI) rates. DESIGN We conducted a retrospective cohort study of Medicare beneficiaries who underwent coronary artery bypass grafting (CABG) in US hospitals performing at least 80 procedures in 2005. Hospitals were(More)
An online survey was sent to 73 facilities in December 2010 to assess the time commitment, staff involvement, and methods used in reporting health care-associated infection (HAI) events through the National Healthcare Safety Network in Massachusetts. Of the 65 respondents, 45% reported electronically importing at least a portion of their data. Facilities(More)
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