Development of Infection Control Surveillance System for Intensive Care Unit: Data Requirements and Guidelines

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Author(s)

Manal Abumelha 1,2,* Awatef Hashbal 1,2 Farrukh Nadeem 1 Naif Aljohani 1

1. King Abdulaziz University, Department of Information Systems, Jeddah, Kingdom of Saudi Arabia

2. King Khalid University, Department of Information Systems, Abha, Kingdom of Saudi Arabia

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2016.06.03

Received: 20 Oct. 2015 / Revised: 7 Jan. 2016 / Accepted: 1 Mar. 2016 / Published: 8 Jun. 2016

Index Terms

Surveillance, Hospital Acquired Infections (HAIs), Central Line–Associated Bloodstream Infection (CLABSI), Urinary Tract Infection (UTI), Surgical Site Infections (SSIs) and Ventilator-Associated Conditions/Events (VACs/VAEs)

Abstract

Surveillance systems are useful in the identification of patients that contract infections during their hospitalization period. Despite still being at infancy, electronic information control surveillance systems for Hospital Acquired Infections (HAIs) are improving and becoming more commonplace as the acceptance levels rise. There are crucial gaps in existing knowledge concerning the best ways for implementing electronic surveillance systems especially in the context of the Intensive Care Unit (ICU). To bridge this gap, the aim of this paper was to provide a comprehensive review of various electronic surveillance approaches and to highlight the requisite data components and offer guidelines. This review revealed denominator, numerator, and discrete data requirements and guidelines for the surveillance of four main ICU HAIs, including Central Line–Associated Bloodstream Infection (CLABSI), Urinary Tract Infection (UTI), Surgical Site Infections (SSIs) and Ventilator-Associated Conditions/Events (VACs/VAEs).

Cite This Paper

Manal Abumelha, Awatef Hashbal, Farrukh Nadeem, Naif Aljohani, "Development of Infection Control Surveillance System for Intensive Care Unit: Data Requirements and Guidelines", International Journal of Intelligent Systems and Applications (IJISA), Vol.8, No.6, pp.19-26, 2016. DOI:10.5815/ijisa.2016.06.03

Reference

[1]A. Palumbo, P. Loveless, M. Moll and S. Ostroff, 'Evaluation of Healthcare-Associated Infection Surveillance in Pennsylvania Hospitals', Infect Control Hosp Epidemiol, vol. 33, no. 02, pp. 105-111, 2012.
[2]K. Woeltje, M. Lin, M. Klompas, M. Wright, G. Zuccotti and W. Trick, 'Data Requirements for Electronic Surveillance of Healthcare-Associated Infections', Infect Control Hosp Epidemiol, vol. 35, no. 09, pp. 1083-1091, 2014.
[3]T. Lee, O. Montgomery, J. Marx, R. Olmsted and W. Scheckler, 'Recommended practices for surveillance: Association for Professionals in Infection Control and Epidemiology (APIC), Inc.', American Journal of Infection Control, vol. 35, no. 7, pp. 427-440, 2007.
[4]R. Freeman, L. Moore, L. García Álvarez, A. Charlett and A. Holmes, 'Advances in electronic surveillance for healthcare-associated infections in the 21st Century: a systematic review', Journal of Hospital Infection, vol. 84, no. 2, pp. 106-119, 2013.
[5]J. Doherty, L. Noirot, J. Mayfield, S. Ramiah, C. Huang, W. Dunagan and T. Bailey, 'Implementing GermWatcher™, an Enterprise Infection Control Application', American Medical Informatics Association (AMAI) Annual Symposium Proceedings, pp. 209–213, 2006.
[6]K. Nelson and C. Williams, Infectious disease epidemiology. Sudbury, Mass.: Jones and Bartlett Publishers, 2007.
[7]Manetho. and W. Waddell, Manetho. Cambridge, Mass.: Harvard University Press, 1940. Retrieved from https://ia800307.us.archive.org/26/items/manethowithengli00maneuoft/manethowithengli00maneuoft.pdf
[8]B. Choi, 'The Past, Present, and Future of Public Health Surveillance', Scientifica, vol. 2012, pp. 1-26, 2012.
[9]R. Merrill, Introduction to epidemiology, 4th ed. Jones & Bartlett Publishers, 2010.
[10]R. Pearl, Introduction to medical biometry and statistics. Philadelphia: W.B. Saunders, 1923.
[11]A. Boonstra and M. Broekhuis, 'Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions', BMC Health Services Research, vol. 10, no. 1, p. 231, 2010.
[12]K. Woeltje, K. McMullen, A. Butler, A. Goris and J. Doherty, 'Electronic Surveillance for Healthcare-Associated Central Line—Associated Bloodstream Infections Outside the Intensive Care Unit', Infect Control Hosp Epidemiol, vol. 32, no. 11, pp. 1086-1090, 2011.
[13]M. de Mul, P. Alons, P. van der Velde, I. Konings, J. Bakker and J. Hazelzet, 'Development of a clinical data warehouse from an intensive care clinical information system', Computer Methods and Programs in Biomedicine, vol. 105, no. 1, pp. 22-30, 2012.
[14]M. Wright, A. Fisher, M. John, K. Reynolds, L. Peterson and A. Robicsek, 'The electronic medical record as a tool for infection surveillance: Successful automation of device-days', American Journal of Infection Control, vol. 37, no. 5, pp. 364-370, 2009.
[15]L. Backman, G. Nobert, R. Melchreit, R. Fekieta and L. Dembry, 'Validation of the surveillance and reporting of central line-associated bloodstream infection denominator data', American Journal of Infection Control, vol. 42, no. 1, pp. 28-33, 2014.
[16]S. Silow-Carroll, J. N. Edwards and D. Rodin, 'Using electronic health records to improve quality and efficiency: The experiences of leading hospitals.', The Commonwealth Fund, vol. 17, pp. 1-39, 2012.
[17]S. Abdallah, M. Mahmoud, N. El-Tayeb and M. Abdel Magid, 'Designing and Implementing of Electronic Health Record System in Ksa using Sql & Asp.Net', Innovative Systems Design and Engineering, vol. 6, no. 1, 2015.
[18]W. Trick, 'Decision Making During Healthcare-Associated Infection Surveillance: A Rationale for Automation', Clinical Infectious Diseases, vol. 57, no. 3, pp. 434-440, 2013.
[19]W. Trick, B. Zagorski, J. Tokars, M. Vernon, S. Welbel, M. Wisniewski, C. Richards and R. Weinstein, 'Computer Algorithms To Detect Bloodstream Infections', Emerg. Infect. Dis., vol. 10, no. 9, pp. 1612-1620, 2004.
[20]M. van Mourik, K. Moons, W. van Solinge, J. Berkelbach-van der Sprenkel, L. Regli, A. Troelstra and M. Bonten, 'Automated Detection of Healthcare Associated Infections: External Validation and Updating of a Model for Surveillance of Drain-Related Meningitis', PLoS ONE, vol. 7, no. 12, p. e51509, 2012.
[21]B. Hota, M. Lin, J. Doherty, T. Borlawsky, K. Woeltje, K. Stevenson, Y. Khan, J. Young, R. Weinstein and W. Trick, 'Formulation of a model for automating infection surveillance: algorithmic detection of central-line associated bloodstream infection', Journal of the American Medical Informatics Association, vol. 17, no. 1, pp. 42-48, 2010.
[22]T. Horan, M. Andrus and M. Dudeck, 'CDC/NHSN surveillance definition of health care–associated infection and criteria for specific types of infections in the acute care setting', American Journal of Infection Control, vol. 36, no. 5, pp. 309-332, 2008.
[23]J. Lukenbill, L. Rybicki, M. Sekeres, M. Zaman, A. Copelan, H. Haddad, T. Fraser, M. DiGiorgio, R. Hanna, H. Duong, B. Hill, M. Kalaycio, R. Sobecks, B. Bolwell and E. Copelan, 'Defining Incidence, Risk Factors, and Impact on Survival of Central Line-Associated Blood Stream Infections Following Hematopoietic Cell Transplantation in Acute Myeloid Leukemia and Myelodysplastic Syndrome', Biology of Blood and Marrow Transplantation, vol. 19, no. 5, pp. 720-724, 2013.
K. Cato, B. Cohen and E. Larson, 'Data elements and validation methods used for electronic surveillance of health care-associated infections: A systematic review', American Journal of Infection Control, vol. 43, no. 6, pp. 600-605, 2015.
[24]National Healthcare Safety Network (NHSN). NHSN manual for CAUTI surveillance. Retrieved from: http://www.cdc.gov/nhsn/PDFs/pscManual/7pscCAUTIcurrent.pdf
[25]National Healthcare Safety Network. National Healthcare Safety Network newsletter, 6(1) ,2011. Retrieved from: http://www.cdc.gov/nhsn/PDFs/Newsletters/NHSN_NL_MAR_2011_final.pdf
[26]H. Hsu, E. Shenoy, D. Kelbaugh, W. Ware, H. Lee, P. Zakroysky, D. Hooper and R. Walensky, 'An electronic surveillance tool for catheter-associated urinary tract infection in intensive care units', American Journal of Infection Control, vol. 43, no. 6, pp. 592-599, 2015.
[27]D. Yokoe, Y. Khan, M. Olsen, D. Hooper, M. Greenbaum, J. Vostok, J. Lankiewicz, V. Fraser and K. Stevenson, 'Enhanced Surgical Site Infection Surveillance Following Hysterectomy, Vascular, and Colorectal Surgery', Infect Control Hosp Epidemiol, vol. 33, no. 08, pp. 768-773, 2012.
[28]M. Koek, J. Wille, M. Isken, A. Voss and B. van Benthem, 'Post-discharge surveillance (PDS) for surgical site infections: a good method is more important than a long duration', Eurosurveillance, vol. 20, no. 8, p. 21042, 2015.
[29]J. Tanner, W. Padley, M. Kiernan, D. Leaper, P. Norrie and R. Baggott, 'A benchmark too far: findings from a national survey of surgical site infection surveillance', Journal of Hospital Infection, vol. 83, no. 2, pp. 87-91, 2013.
[30]M. Calderwood, K. Kleinman, D. Bratzler, A. Ma, C. Bruce, R. Kaganov, C. Canning, R. Piatt and S. Huang, 'Use of Medicare Claims to Identify US Hospitals with a High Rate of Surgical Site Infection after Hip Arthroplasty', Infect Control Hosp Epidemiol, vol. 34, no. 01, pp. 31-39, 2013.
[31]S. Magill, M. Klompas, R. Balk, S. Burns, C. Deutschman, D. Diekema, S. Fridkin, L. Greene, A. Guh, D. Gutterman, B. Hammer, D. Henderson, D. Hess, N. Hill, T. Horan, M. Kollef, M. Levy, E. Septimus, C. VanAntwerpen, D. Wright and P. Lipsett, 'Developing a new national approach to surveillance for ventilator-associated events: Executive summary', American Journal of Infection Control, vol. 41, no. 11, pp. 1096-1099, 2013.