Literature DB >> 19647890

Use of anti-infective serial prevalence studies to identify and monitor hospital-acquired infection.

C Brown1, M Richards, T Galletly, R Coello, W Lawson, P Aylin, A Holmes.   

Abstract

We developed the 'Pragmatic Proxy Protocol' (PPP) to estimate the prevalence of hospital-acquired infection (HAI) by integrating our existing pharmacy serial point prevalence studies of anti-infective prescribing practices with electronic data on microbiological and radiographic markers of infection. Our method was evaluated against the standard Hospital Infection Society/Infection Control Nurses Association Protocol (HIP). In the non-surgical patients, PPP has a sensitivity of 1.00 [confidence interval (CI): 0.70-1.00] and specificity of 0.97 (CI: 0.93-0.99). PPP suggests that for non-surgical patients, the prevalence of HAI using HIP could be underestimated by 42%. PPP takes about two-thirds of the time of HIP (75 vs 106 h) and is at least one-third cheaper. It could easily be adapted to advances in electronic reporting and, with the development of Anti-infective Care Bundles, would increase its sensitivity for the detection of HAI in surgical patients. PPP could be used to increase the frequency of routine HAI surveillance to determine the overall burden of infection and assess the efficacy of intervention strategies in a timely manner allowing rapid, direct feedback and engagement with clinicians.

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Year:  2009        PMID: 19647890     DOI: 10.1016/j.jhin.2009.05.020

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   3.926


  4 in total

1.  Computer-assisted, high-frequency, hospital-wide point prevalence surveys of hospital-acquired infections in a tertiary care hospital, the Netherlands, 2013 to 2014.

Authors:  H Roel A Streefkerk; Sten P Willemsen; Conrad P van der Hoeven; Margreet C Vos; Roel Paj Verkooijen; Henri A Verbrugh
Journal:  Euro Surveill       Date:  2019-03

2.  Is it possible to identify cases of coronary artery bypass graft postoperative surgical site infection accurately from claims data?

Authors:  Tsung-Hsien Yu; Yu-Chang Hou; Kuan-Chia Lin; Kuo-Piao Chung
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-29       Impact factor: 2.796

3.  A point prevalence cross-sectional study of healthcare-associated urinary tract infections in six Australian hospitals.

Authors:  Anne Gardner; Brett Mitchell; Wendy Beckingham; Oyebola Fasugba
Journal:  BMJ Open       Date:  2014-07-29       Impact factor: 2.692

4.  Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.

Authors:  H Roel A Streefkerk; Roel Paj Verkooijen; Wichor M Bramer; Henri A Verbrugh
Journal:  Euro Surveill       Date:  2020-01
  4 in total

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