Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-17T17:03:25.219Z Has data issue: false hasContentIssue false

Nosocomial Infections in Geriatric Long-Term-Care and Rehabilitation Facilities: Exploration in the Development of a Risk Index for Epidemiological Surveillance

Published online by Cambridge University Press:  02 January 2015

Franck Golliot
Affiliation:
Centre inter-régional de Coordination de la Lutte contre les Infections Nosocomiales Paris-Nord, Institut Biomédical des Cordeliers, Paris
Pascal Astagneau*
Affiliation:
Centre inter-régional de Coordination de la Lutte contre les Infections Nosocomiales Paris-Nord, Institut Biomédical des Cordeliers, Paris
Bernard Cassou
Affiliation:
Consultation de gérontologie, RFR 12 INSERM, hôpital Sainte Périne, Paris
Nicole Okra
Affiliation:
Service de gérontologie, hôpital Vaugirard, Paris
Monique Rothan-Tondeur
Affiliation:
Unité d'hygiène hospitalière et d'épidémiologie, hôpital Charles Foix, Ivry, France
Gilles Brücker
Affiliation:
Centre inter-régional de Coordination de la Lutte contre les Infections Nosocomiales Paris-Nord, Institut Biomédical des Cordeliers, Paris
*
Pascal Astagneau, CCLIN Paris-Nord, Institut Biomédical des Cordeliers, 15-21 rue Ecole de Médecine, 75006 Paris, France

Abstract

Objective:

To compute a risk index for nosocomial infection (NI) surveillance in geriatric long-term-care facilities (LTCFs) and rehabilitation facilities.

Design:

Analysis of data collected during the French national prevalence survey on NIs conducted in 1996. Risk indices were constructed based on the patient case-mix defined according to risk factors for NIs identified in the elderly.

Setting:

248 geriatric units in 77 hospitals located in northern France.

Participants:

All hospital inpatients on the day of the survey were included.

Results:

Data from 11,254 patients were recorded. The overall rate of infected patients was 9.9%. Urinary tract, respiratory tract, and skin were the most common infection sites in both rehabilitation facilities and LTCFs. Eleven risk indices, categorizing patients in 3 to 7 levels of increasing NI risk, ranging from 2.7% to 36.2%, were obtained. Indices offered risk adjustment according to NI rate stratification and clinical relevance of risk factors such as indwelling devices, open bedsores, swallowing disorders, sphincter incontinence, lack of mobility, immunodeficiency, or rehabilitation activity.

Conclusion:

The optimal index should be tailored to the strategy selected for NI surveillance in geriatric facilities in view of available financial and human resources.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Beaujean, DJ, Blok, HE, Vandenbroucke, GC, Weersink, AJ, Raymakers, JA, Verhoef, J. Surveillance of nosocomial infections in geriatric patients. J Hosp Infect 1997;36:275284.CrossRefGoogle ScholarPubMed
2. Eveillard, M, Pisante, L, Mangeol, A, Dolo, E, Guet, L, Huang, M, et al. Specific features of nosocomial infections in the elderly at a general hospital center: 5 surveys of annual prevalence [in French]. Pathol Biol 1998;46:741749.Google Scholar
3. Hussain, M, Oppenheim, BA, ONeill, P, Trembath, C, Morris, J, Horan, MA. Prospective survey of the incidence, risk factors and outcome of hospital-acquired infections in the elderly. J Hosp Infect 1996;32:117126.CrossRefGoogle ScholarPubMed
4. Smith, PW, Rusnak, PG. Infection prevention and control in the long-term-care facility. SHEA Long-Term-Care Committee and APIC Guidelines Committee. Infect Control Hosp Epidemiol 1997;18:831849.CrossRefGoogle ScholarPubMed
5. Emori, TG, Banerjee, SN, Culver, DH, Gaynes, RP, Horan, TC, Edwards, JR, et al. Nosocomial infections in elderly patients in the United States, 1986-1990. National Nosocomial Infections Surveillance System. Am J Med 1991;91(suppl 3B):289S293S.CrossRefGoogle ScholarPubMed
6. Garibaldi, RA, Nurse, BA. Infections in the elderly. Am J Med 1986;81:5358.CrossRefGoogle ScholarPubMed
7. Khanna, KV, Markham, RB. A perspective on cellular immunity in the elderly. Clin Infect Dis 1999;28:710713.CrossRefGoogle ScholarPubMed
8. Alvarez, S, Shell, CG, Woolley, TW, Berk, SL, Smith, JK. Nosocomial infections in long-term facilities. J Gerontol 1988;43:M917.CrossRefGoogle ScholarPubMed
9. The French Prevalence Survey Study Group. Prevalence of nosocomial infections in France: results of the nationwide survey in 1996. J Hosp Infect 2000;46:186193.CrossRefGoogle Scholar
10. Garner, JS, Jarvis, WR, Emori, TG, Horan, TC, Hughes, JM. CDC definitions for nosocomial infections, 1988. Am J Infect Control 1988;16:128140.CrossRefGoogle ScholarPubMed
11. 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;19:17.CrossRefGoogle ScholarPubMed
12. Yarkony, GM, Kirk, PM, Carlson, C, Roth, EJ, Lovell, L, Heinemann, A, et al. Classification of pressure ulcers. Arch Dermatol 1990;126:12181219.CrossRefGoogle ScholarPubMed
13. Greenland, S, Robins, JM. Estimation of a common effect parameter from sparse follow-up data. Biometrics 1985;41:5568.CrossRefGoogle ScholarPubMed
14. Burt, C. The factorial analysis of qualitative data. Br J Psychol 1950;3:166185.Google Scholar
15. Greenacre, MJ. Multiple and joint correspondence analysis. In: Greenacre, MJ, Blasius, J, eds. Correspondence Analysis in the Social Sciences. London, UK: Academic Press; 1994.Google Scholar
16. Lebart, L, Morineau, A, Warwick, KM. Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices. New York: John Wiley & Sons; 1984.Google Scholar
17. Tenenhaus, M, Young, FW. An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis, and other methods of quantifying categorical multivariate data. Psychometrika 1985;50:91119.CrossRefGoogle Scholar
18. Benzecri, JP. L'Analyse des Donn es: T. 2, VAnalyse des Correspondances. Paris, France: Dunod; 1973.Google Scholar
19. Coste, J, Bouyer, J, Job, SN. Construction of composite scales for risk assessment in epidemiology: an application to ectopic pregnancy. Am J Epidemiol 1997;145:278289.CrossRefGoogle ScholarPubMed
20. Potter, J, Mpstein, K, Reilly, JJ, Roberts, M. The nutritional status and clinical course of acute admissions to a geriatric unit. Age Ageing 1995;24:131136.CrossRefGoogle ScholarPubMed
21. Roebothan, BV, Chandra, RK. Relationship between nutritional status and immune function of elderly people. Age Ageing 1994;23:4953.CrossRefGoogle ScholarPubMed
22. Centers for Disease Control and Prevention. National Nosocomial Infections Surveillance (NNIS) System report, data summary from October 1986-April 1998, issued June 1998. Am J Infect Control 1998;26:522533.CrossRefGoogle Scholar