Publications by authors named "R Stricof"

Objective: To describe a pilot project infection prevention and control (IPC) assessment conducted in skilled nursing facilities (SNFs) in New York State (NYS) during a pivotal 2-week period when the region became the nation's epicenter for coronavirus disease 2019 (COVID-19).

Design: A telephone and video assessment of IPC measures in SNFs at high risk or experiencing COVID-19 activity.

Participants: SNFs in 14 New York counties, including New York City.

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Healthcare and humanitarian workers who travel to work where the incidence of multidrug-resistant tuberculosis (MDR TB) is high and potential transmission may occur are at risk of infection and disease due to these resistant strains. Transmission occurs due to inadequate transmission control practices and the inability to provide timely and accurate diagnosis and treatment of persons with MDR TB. Patients risk exposure if active TB is unrecognized in workers after they return to lower-risk settings.

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Objective: To assess the effect of multiple sources of bias on state- and hospital-specific National Healthcare Safety Network (NHSN) laboratory-identified Clostridium difficile infection (CDI) rates.

Design: Sensitivity analysis.

Setting: A total of 124 New York hospitals in 2010.

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Article Synopsis
  • In 2007, New York State hospitals started mandatory reporting of central line-associated bloodstream infection (CLABSI) data for intensive care units (ICUs) to improve patient safety.
  • Onsite audits revealed that from 2007 to 2010, about 79% of hospitals were audited annually, with 54% of patients having a central line and 21% diagnosed with CLABSI.
  • The auditing process improved reporting accuracy, with specificity increasing from 90% to 99%, and enabled better evaluation of infection prevention efforts in ICUs.
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Article Synopsis
  • The study aimed to assess if the NHSN LabID event reporting for Clostridium difficile infection (CDI) is a reliable measure for clinical CDI by comparing it with direct clinical surveillance in New York State hospitals.
  • Data collected over six months from 30 hospitals showed a significant match rate between clinical CDI cases and LabID cases, with an overall agreement of 67.3% initially, increasing to 81.3% after validation.
  • The New York State Department of Health concluded that since the NHSN LabID event data aligns well with clinical surveillance data, it will be used for public reporting, thus easing the surveillance burden and ensuring standardized reporting.
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