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Healthcare Infection Healthcare Infection Society
Official Journal of the Australasian College for Infection Prevention and Control
RESEARCH ARTICLE

Formative and process evaluation of a healthcare-associated infection surveillance program in residential aged care facilities, Grampians region, Victoria

Mary Smith A D , Ann L. Bull B , David Dunt C , Michael Richards B , Badrika Suranganie Wijesundara C and Noleen J. Bennett B
+ Author Affiliations
- Author Affiliations

A Department of Health, Grampians Region, 21 McLachlan Street, Horsham, Vic. 3400, Australia.

B Victorian Healthcare Associated Infection Surveillance System (VICNISS) Co-ordinating Centre, 10 Wreckyn Street, North Melbourne, Vic. 3051, Australia.

C Centre for Health Policy, Program and Economics, School of Population Health, The University of Melbourne, Level 4, 207 Bouverie Street, Carlton, Vic. 3053, Australia.

D Corresponding author. Email: Mary.Smith@health.vic.gov.au

Healthcare Infection 17(2) 64-69 https://doi.org/10.1071/HI12009
Submitted: 2 March 2012  Accepted: 2 May 2012   Published: 31 May 2012

Abstract

Background: In 2010, a standardised healthcare associated infection surveillance program was implemented and evaluated in 30 residential aged care facilities (RACF) located in the Grampians rural region, Victoria.

Methods: High level care residents were monitored for trachea-bronchitis, cellulitis, conjunctivitis, gastroenteritis and symptomatic urinary tract infections. Infection data was collected and reported by RACF staff or infection control (IC) consultants. ‘Infections’ reported by RACF staff were confirmed or excluded by an IC consultant after reviewing medical records.

Results: Of the 297 true infections, 89.9% were reported by RACF staff. IC consultants excluded 206 ‘infections’ reported by RACF staff. Eight infections were detected by IC consultants after checking microbiology reports. The sensitivity and positive predictive value of data reported by RACF staff was calculated as 97.1% and 56.5% respectively. The average time for IC consultants to retrospectively check data reported by RACF staff was 2.2 h month–1. Over 6 months, the time taken by one regional IC consultant to follow up data queries was 11 h.

Conclusions: The evaluation of the pilot HAI surveillance program demonstrated that the collection, collation and analysis of accurate infection data in the participating RACF can be difficult and resource intensive. If the program is to continue as currently structured, the identified issues associated with data validity and limited resources will need to be addressed.


References

[1]  Horan TC, Gaynes RP. Surveillance of nosocomial infections. In: Mayhall GC, ed. Hospital Epidemiology and Infection Control. 3rd edn. Baltimore: Williams and Wilkins; 2004: pp. 1659–1702.

[2]  National Health and Medical Research Council. Australian Guidelines for the Prevention and Control of Infection in Healthcare. Canberra: Commonwealth of Australia; 2010.

[3]  Goldrick BA. Infection control programs in long-term-care facilities: structure and process. Infect Control Hosp Epidemiol 1999; 20 764–9.
Infection control programs in long-term-care facilities: structure and process.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3c%2Fks1GqtQ%3D%3D&md5=d68ccd92d8f5d30e2cd0239ee1ce998eCAS |

[4]  Smith PW, Bennett G, Bradley S, Drinka P, Lautenbach E, Marx J, et al SHEA/APIC guideline: infection prevention and control in the long-term care facility. Infect Control Hosp Epidemiol 2008; 29 785–814.
SHEA/APIC guideline: infection prevention and control in the long-term care facility.Crossref | GoogleScholarGoogle Scholar |

[5]  Chami K, Gavazzi G, de Wazieres B, Lejeune B, Carrat F, Piette F, et al Guidelines for infection control in nursing homes: a Delphi consensus web-based survey. J Hosp Infect 2011; 79 75–89.
Guidelines for infection control in nursing homes: a Delphi consensus web-based survey.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3MjmtVKgtQ%3D%3D&md5=ba7af65a14361c92941e8c0afef32483CAS |

[6]  Haley RW. The scientific basis for using surveillance and risk factor data to reduce nosocomial infection rates. J Hosp Infect 1995; 30 3–14.
The scientific basis for using surveillance and risk factor data to reduce nosocomial infection rates.Crossref | GoogleScholarGoogle Scholar |

[7]  Makris AT, Morgan L, Gaber DJ, Richter A, Rubino JR. Effect of a comprehensive infection control program on the incidence of infections in long-term care facilities. Am J Infect Control 2000; 28 3–7.
Effect of a comprehensive infection control program on the incidence of infections in long-term care facilities.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3c7ktlCjtA%3D%3D&md5=7ca195b556f87068ffc1cd727d83b79eCAS |

[8]  Silverblatt FJ, Tibert C, Mikolich D, Blazek-D’Arezzo J, Alves J, Tack M, et al Preventing the spread of vancomycin-resistant enterococci in a long-term care facility. J Am Geriatr Soc 2000; 48 1211–5.
| 1:STN:280:DC%2BD3cvos1Gmug%3D%3D&md5=14d52f98eaf39a5b967dc471115fa818CAS |

[9]  Simor AE, Augustin A, Ng J, Betschel S, McArthur M. Control of MRSA in a long-term care facility. Infect Control Hosp Epidemiol 1994; 15 69–70.
Control of MRSA in a long-term care facility.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2c3mtVSqsQ%3D%3D&md5=ab3264aefcd5e1f484fe0b81c6c5c6d3CAS |

[10]  Aged Care Standards and Accreditation Agency. Available from: www.accreditation.org.au [verified October 2011].

[11]  Cruickshank M, Murphy C. Appendix 1: Australian health-care facilities surveillance survey. In: Cruickshank M, Ferguson J, eds. Reducing Harm to Patients from Health Care Associated Infections: The Role of Surveillance. Canberra: Commonwealth of Australia; 2008: pp. 339–351.

[12]  Geary A, Moyle W, Evans K. Infection control in Queensland long-term care facilities. Australian Infect Control 2001; 6 122–7.
Infection control in Queensland long-term care facilities.Crossref | GoogleScholarGoogle Scholar |

[13]  Victorian State Government. DHS regions. Melbourne: Department of Human Services; 2011. Available from: www.dhs.vic.gov.au/our-regions [verified May 2012].

[14]  Smith M, Bull A, Richards MJ, Woodburn P, Bennett N. Infection rates in residential aged care facilities, Grampians region, Victoria, Australia. Healthc Infect 2011; 16 116–20.
Infection rates in residential aged care facilities, Grampians region, Victoria, Australia.Crossref | GoogleScholarGoogle Scholar |

[15]  Dehar MA, Casswell S, Duignan P. Formative and process evaluation of health promotion and disease prevention programs. Eval Rev 1993; 17 204–20.
Formative and process evaluation of health promotion and disease prevention programs.Crossref | GoogleScholarGoogle Scholar |

[16]  McGeer A, Campbell B, Emori TG, Hierholzer WJ, Jackson MM, Nicolle LE, et al Definitions of infection for surveillance in long-term care facilities. Am J Infect Control 1991; 19 1–7.
Definitions of infection for surveillance in long-term care facilities.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK3M3hsVSmuw%3D%3D&md5=07ee73a8cb56fa4a3172cf2cdc879b0dCAS |

[17]  Victorian Healthcare Infection Surveillance Coordinating Centre. Available from: www.vicniss.org.au [verified February 2011].

[18]  Woodburn P. Grampians Infection Control Group. Grampians Region Health Collaborative; 2011. Available from: http://www.grhc.org.au/infection-control [verified February 2012].

[19]  Stevenson KB, Moore J, Colwell H, Sleeper B. Standardized infection surveillance in long-term care: interfacility comparisons from a regional cohort of facilities. Infect Control Hosp Epidemiol 2005; 26 231–8.
Standardized infection surveillance in long-term care: interfacility comparisons from a regional cohort of facilities.Crossref | GoogleScholarGoogle Scholar |

[20]  Emori TG, Edwards JR, Culver DH, Sartor C, Stroud LA, Gaunt EE, et al Accuracy of reporting nosocomial infections in intensive-care-unit patients to the National Nosocomial Infections Surveillance System: a pilot study. Infect Control Hosp Epidemiol 1998; 19 308–16.
Accuracy of reporting nosocomial infections in intensive-care-unit patients to the National Nosocomial Infections Surveillance System: a pilot study.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1c3ntlOntA%3D%3D&md5=3ca13cd56ce5b03f322f9b1697faff95CAS |

[21]  The Quality Indicator Study Group An approach to the evaluation of quality indicators of the outcome of care in hospitalized patients, with a focus on nosocomial infection indicators. Am J Infect Control 1995; 23 215–22.
An approach to the evaluation of quality indicators of the outcome of care in hospitalized patients, with a focus on nosocomial infection indicators.Crossref | GoogleScholarGoogle Scholar |

[22]  Haley RW, Schaberg DR, McClish DK, Quade D, Crossley KB, Culver DH, et al The accuracy of retrospective chart review in measuring nosocomial infection rates. Results of validation studies in pilot hospitals. Am J Epidemiol 1980; 111 516–33.
| 1:STN:280:DyaL3c7psFKrsg%3D%3D&md5=11b8e6dd61a683200883d02192f6f59bCAS |

[23]  Simor AE. The role of the laboratory in infection prevention and control programs in long-term-care facilities for the elderly. Infect Control Hosp Epidemiol 2001; 22 459–63.
The role of the laboratory in infection prevention and control programs in long-term-care facilities for the elderly.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3Mrjs1Shtw%3D%3D&md5=13260a33bce713b30c0e81a6dde92536CAS |

[24]  Friedman C, Barnette M, Buck AS, Ham R, Harris JA, Hoffman P, et al Requirements for infrastructure and essential activities of infection control and epidemiology in out-of-hospital settings: a consensus panel report. Am J Infect Control 1999; 27 418–30.
Requirements for infrastructure and essential activities of infection control and epidemiology in out-of-hospital settings: a consensus panel report.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1MvktFWqtQ%3D%3D&md5=73c1469ca7462a9a1c5648f5a4c34d34CAS |

[25]  Rhame FS, Sudderth WD. Incidence and prevalence as used in the analysis of the occurrence of nosocomial infections. Am J Epidemiol 1981; 113 1–11.
| 1:STN:280:DyaL3M7gs1Knuw%3D%3D&md5=24fb8e370860646d543ce7232721a6eaCAS |

[26]  Touvier M, Kesse-Guyot E, Mejean C, Pollet C, Malon A, Castetbon K, et al Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br J Nutr 2011; 105 1055–64.
Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXivFynt7k%3D&md5=eb66503550fcc366e2ba9cbb1331d754CAS |

[27]  Touvier M, Mejean C, Kesse-Guyot E, Pollet C, Malon A, Castetbon K, et al Comparison between web-based and paper versions of a self-administered anthropometric questionnaire. Eur J Epidemiol 2010; 25 287–96.
Comparison between web-based and paper versions of a self-administered anthropometric questionnaire.Crossref | GoogleScholarGoogle Scholar |

[28]  Vergnaud AC, Touvier M, Mejean C, Kesse-Guyot E, Pollet C, Malon A, et al Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Sante study. Int J Public Health 2011; 56 407–17.
Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Sante study.Crossref | GoogleScholarGoogle Scholar |