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Impact of electronic healthcare-associated infection surveillance software on infection prevention resources: a systematic review of the literature

  • P.L. Russo
    Correspondence
    Corresponding author. Address: School of Nursing and Midwifery, Deakin University, 221 Burwood Highway, Burwood 3125, Victoria, Australia. Tel.: +61 3 924 68585.
    Affiliations
    School of Nursing and Midwifery, Faculty of Health, Centre for Quality and Patient Safety Research – Alfred Health Partnership, Deakin University, Victoria, Australia

    Avondale College of Higher Education, Faculty of Arts, Nursing and Theology, New South Wales, Wahroonga, Australia

    Griffith University, School of Nursing and Midwifery, Nathan, Queensland, Australia
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  • R.Z. Shaban
    Affiliations
    Griffith University, School of Nursing and Midwifery, Nathan, Queensland, Australia

    Gold Coast Health, Gold Coast University Hospital, Southport, Queensland, Australia

    Menzies Health Institute Queensland, Griffith University, Southport, Queensland, Australia
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  • D. Macbeth
    Affiliations
    Griffith University, School of Nursing and Midwifery, Nathan, Queensland, Australia

    Gold Coast Health, Gold Coast University Hospital, Southport, Queensland, Australia
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  • A. Carter
    Affiliations
    Avondale College of Higher Education, Faculty of Arts, Nursing and Theology, New South Wales, Wahroonga, Australia
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  • B.G. Mitchell
    Affiliations
    Avondale College of Higher Education, Faculty of Arts, Nursing and Theology, New South Wales, Wahroonga, Australia

    Griffith University, School of Nursing and Midwifery, Nathan, Queensland, Australia
    Search for articles by this author
Published:September 08, 2017DOI:https://doi.org/10.1016/j.jhin.2017.09.002

      Summary

      Background

      Surveillance of healthcare-associated infections is fundamental for infection prevention. The methods and practices for surveillance have evolved as technology becomes more advanced. The availability of electronic surveillance software (ESS) has increased, and yet adoption of ESS is slow. It is argued that ESS delivers savings through automation, particularly in terms of human resourcing and infection prevention (IP) staff time.

      Aim

      To describe the findings of a systematic review on the impact of ESS on IP resources.

      Methods

      A systematic search was conducted of electronic databases Medline and the Cumulative Index to Nursing and Allied Health Literature published between January 1st, 2006 and December 31st, 2016 with analysis using the Newcastle–Ottawa Scale.

      Findings

      In all, 2832 articles were reviewed, of which 16 studies met the inclusion criteria. IP resources were identified as time undertaken on surveillance. A reduction in IP staff time to undertake surveillance was demonstrated in 13 studies. The reduction proportion ranged from 12.5% to 98.4% (mean: 73.9%). The remaining three did not allow for any estimation of the effect in terms of IP staff time. None of the studies demonstrated an increase in IP staff time.

      Conclusion

      The results of this review demonstrate that adopting ESS yields considerable dividends in IP staff time relating to data collection and case ascertainment while maintaining high levels of sensitivity and specificity. This has the potential to enable reinvestment into other components of IP to maximize efficient use of scarce IP resources.

      Keywords

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