Decision making during healthcare-associated infection surveillance: A rationale for automation

Clinical Infectious Diseases

Volumn 57, Issue 3, 2013, Pages 434-440

  Trick, William E ^a,b  

^a Cook County Health and Hospitals System ^*  (United States)

^b RUSH UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Algorithms; Cognition; Decision making; Infection; Surveillance

Indexed keywords

ARTICLE; AUTOMATION; BLOODSTREAM INFECTION; CLINICAL DECISION MAKING; CLINICAL PRACTICE; DECISION SUPPORT SYSTEM; ECONOMICS; HEALTH CARE POLICY; HEALTHCARE ASSOCIATED INFECTION; INFECTION PREVENTION; INFECTION RATE; PRIORITY JOURNAL; PSYCHOLOGY; RELIABILITY; THEORY; URINARY TRACT INFECTION;

ALGORITHMS; COGNITION; DECISION MAKING; INFECTION; SURVEILLANCE;

AUTOMATION; CROSS INFECTION; DECISION MAKING; EPIDEMIOLOGICAL MONITORING; HEALTH FACILITIES; HUMANS;

EID: 84880363565     PISSN: 10584838     EISSN: 15376591     Source Type: Journal    
DOI: 10.1093/cid/cit249     Document Type: Article

References (41)

1. Malpiedi P, Peterson KD, Soe MM. 2011 National and state healthcareassociated infection standardized infection ratio report, 2013. Available at: http://www.cdc.gov/hai/national-annual-sir/index.html. Accessed 21 March 2013.
2. Gaynes R, Richards C, Edwards J, et al. Feeding back surveillance data to prevent hospital-acquired infections. Emerg Infect Dis 2001; 7:295-8.
3. Reagan J, Hacker C. Laws pertaining to healthcare-associated infections: a review of 3 legal requirements. Infect Control Hosp Epidemiol 2012; 33:75-80.
4. Mayer J, Greene T, Howell J, et al. Agreement in classifying bloodstream infections among multiple reviewers conducting surveillance. Clin Infect Dis 2012; 55:364-70.
5. Trick WE, Zagorski BM, Tokars JI, et al. Computer algorithms to detect bloodstream infections. Emerg Infect Dis 2004; 10:1612-20.
6. Klompas M. Interobserver variability in ventilator-associated pneumonia surveillance. Am J Infect Contr 2010; 38:237-9.
7. McBryde ES, Brett J, Russo PL, Worth LJ, Bull AL, Richards MJ. Validation of statewide surveillance system data on central line-associated bloodstream infection in intensive care units in Australia. Infect Contr Hosp Epidemiol 2009; 30:1045-9.
8. Backman LA, Melchreit R, Rodriguez R. Validation of the surveillance and reporting of central line-associated bloodstream infection data to a state health department. Am J Infect Contr 2010; 38:832-8.
9. Oh JY, Cunningham MC, Beldavs ZG, et al. Statewide validation of hospital-reported central line-associated bloodstream infections: Oregon, 2009. Infect Contr Hosp Epidemiol 2012; 33:439-45.
10. Klompas M, Yokoe DS. Automated surveillance of health care-associated infections. Clin Infect Dis 2009; 48:1268-75.
11. Tokars JI, Richards C, Andrus M, et al. The changing face of surveillance for health care-associated infections. Clin Infect Dis 2004; 39:1347-52.
12. Eddy DM. Variations in physician practice: the role of uncertainty. Health Aff (Millwood) 1984; 3:74-89.
13. Logan RL, Scott PJ. Uncertainty in clinical practice: implications for quality and costs of health care. Lancet 1996; 347:595-8.
14. Klompas M. Does this patient have ventilator-associated pneumonia? JAMA 2007; 297:1583-93.
15. Juni P, Altman DG, Egger M. Systematic reviews in health care: assessing the quality of controlled clinical trials. Brit Med J 2001; 323:42-6.
16. Redelmeier DA, Ferris LE, Tu JV, Hux JE, Schull MJ. Problems for clinical judgement: introducing cognitive psychology as one more basic science. Can Med Assoc J 2001; 164:358-60.
17. Croskerry P. The importance of cognitive errors in diagnosis and strategies to minimize them. Acad Med 2003; 78:775-80.
18. Taylor SE, Brown JD. Illusion and well-being: a social psychological perspective on mental health. Psychol Bull 1988; 103:193-210.
19. Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science 1981; 211:453-8.
20. The Joint Commission. Preventing central line-associated bloodstream infections: a global challenge, a global perspective. 2012. Available at: http://www.PreventingCLABSIs.pdf. Accessed 7 January 2013.
21. The Leapfrog Group. Getting to zero: reducing rates of CLABSI in community hospitals. 2011. Available at: www.leapfroggroup.org/media/file/Final- GettingToZero.pdf. Accessed 8 January 2013.
22. Lin MY, Bonten MJM. The dilemma of assessment bias in infection control research. Clin Infect Dis 2012; 54:1342-7.
23. Redlawsk DP. Hot cognition or cool consideration? Testing the effects of motivated reasoning on political decision making. J Polit 2002; 64:1021-44.
24. Hauert C, Szabo G. Prisoner's dilemma and public goods games in different geometries: compulsory versus voluntary interactions. Complexity 2003; 8:31-8.
25. Hauert C, Traulsen A, Brandt H, Nowak MA, Sigmund K. Via freedom to coercion: the emergence of costly punishment. Science 2007; 316:1905-7.
26. Rand DG, Dreber A, Ellingsen T, Fudenberg D, Nowak MA. Positive interactions promote public cooperation. Science 2009; 325:1272-5.
27. Semmann D, Krambeck HJ, Milinski M. Volunteering leads to rockpaper-scissors dynamics in a public goods game. Nature 2003; 425:390-3.
28. Thompson ND, Yeh LL, Magill SS, Ostroff SM, Fridkin SK. Investigating systematic misclassification of central line-associated bloodstream infection (CLABSI) to secondary bloodstream infection during health care-associated infection reporting. Am J Med Qual 2013; 28:56-9.
29. Hallgren KA. Computing inter-rater reliability for observational data: an overview and tutorial. Tutorials Quant Methods for Psychol 2012; 8:23.
30. Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. 4th Edition. Oxford, UK: Oxford University Press, 2008.
31. Datta R, Kuo King M, Kim D, et al. What is nosocomial? Large variation in hospital choice of numerators and denominators affects rates of hospital-onset methicillin-resistant Staphylococcus aureus. Infect Contr Hosp Epidemiol 2012; 33:1166-9.
32. Centers for Disease Control and Prevention. Highlighted NHSN January 2013 patient safety component manual updates. Available at: http://www.cdc.gov/nhsn/ PDFs/Newsletters/January-2013-PSC-Updates.pdf. Accessed 11 February 2013.
33. Magill SS, Fridkin SK. Improving surveillance definitions for ventilatorassociated pneumonia in an era of public reporting and performance measurement. Clin Infect Dis 2012; 54:378-80.
34. Centers for Medicare and Medicaid Services Clinical Data Abstraction Center. Data validation overview. Available at: https://www.qualitynet.org/dcs/ ContentServer?c=Page&pagename=QnetPublic%2FPage%2FQnetTier2&cid= 1140537255912. Accessed 9 February 2013.
35. Klompas M, Kleinman K, Khan Y, et al. Rapid and reproducible surveillance for ventilator-associated pneumonia. Clin Infect Dis 2012; 54:370-7.
36. Hota B, Edwards J, Fridkin S, et al. Prediction model for central line associated bloodstream infections across 14 acute care facilities: moving towards automated CLABSI surveillance. In: 21st Annual Meeting of the Society for Healthcare Epidemiology of America, Dallas, TX, 2011.
37. van Mourik MS, Moons KG, van Solinge WW, et al. Automated detection of healthcare associated infections: external validation and updating of a model for surveillance of drain-related meningitis. PLoS One 2012; 7:e51509.
38. Woeltje KF, McMullen KM, Butler AM, Goris AJ, Doherty JA. Electronic surveillance for healthcare-associated central line-associated bloodstream infections outside the intensive care unit. Infect Contr Hosp Epidemiol 2011; 32:1086-90.
39. Wright MO, Kharasch M, Beaumont JL, Peterson LR, Robicsek A. Reporting catheter-associated urinary tract infections: denominator matters. Infect Control Hosp Epidemiol 2011; 32:635-40.
40. Yokoe DS, Khan Y, Olsen MA, et al. Enhanced surgical site infection surveillance following hysterectomy, vascular, and colorectal surgery. Infect Contr Hosp Epidemiol 2012; 33:768-73.
41. Stevenson KB, Khan Y, Dickman J, et al. Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health careassociated infections. Am J Infect Contr 2008; 36:155-64.