Healthcare-associated Infections Studies Project: An American Journal of Infection Control and National Healthcare Safety Network Data Quality Collaboration
Department of Infection Control, North Shore University Health System, Evanston, IL 60201, USA. mwright@ northshore.orgAmerican journal of infection control (Impact Factor: 2.21). 06/2010; 38(5):416-8. DOI: 10.1016/j.ajic.2013.05.009
This is the first in a series of case studies that will be published in American Journal of Infection Control following the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) surveillance definition update of 2013. These cases reflect some of the complex patient scenarios infection professionals encounter during daily surveillance of health care-associated infections using NHSN definitions. Answers to the questions posed and immediate feedback in the form of answers and explanations are available at: http://www.surveymonkey.com/s/AJIC-NHSN-LbId2013. All individual participant answers will remain confidential, although it is the authors' hope to share a summary of the findings at a later date. Cases, answers, and explanations have been reviewed and approved by NHSN staff. Active participation is encouraged and recommended. Review/reference Chapter 12-Multidrug-resistant organism &C difficile infection module protocol, of the NHSN Patient Safety Component Manual (http://www.cdc.gov/nhsn/PDFs/pscManual/12pscMDRO_CDADcurrent.pdf), for information you may need to answer the case study questions.
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ABSTRACT: Health care is beset with directives from regulatory agencies to provide quality data to national databases, which make the data available to the public at large. The quality and validity of the data is crucial to the success of health care at large. Data collection methods are changing to keep pace with the changing environment, as are data dissemination strategies. The infection control department, in partnership with nurses of critical care units, is moving to electronic data mining of electronic medical records to ensure validity and relevancy of data.
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ABSTRACT: As legislative mandates for disclosure of data on health care-associated infections (HAIs) to the public escalate, with both economic and reputational implications for hospitals, the development of a valid national surveillance system has become imperative. Recent studies have identified interinstitutional variability of surveillance techniques. These inconsistencies affect the validity of publicly reported HAI data, which has as a primary goal the advancement of patient safety through the reduction of HAIs. The continued funding of state validation studies, the expansion of qualitative research to further assess interrater bias, the endorsement of educational materials to assist infection preventionists with application of National Healthcare Safety Network criteria, and the development of automated surveillance methods are all necessary to ensure a national HAI surveillance system that can be used for public reporting.
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