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Volumn 37, Issue 3, 2009, Pages 227-230

Estimating the annual burden of health care-associated infections in Finnish adult acute care hospitals

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CAUSE OF DEATH; EMERGENCY CARE; FEMALE; FINLAND; HEALTH CARE; HEALTH CARE PLANNING; HEALTH SURVEY; HOSPITAL DISCHARGE; HOSPITAL INFECTION; HOSPITALIZATION; HUMAN; INFORMATION SYSTEM; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREVALENCE; RESOURCE ALLOCATION; SENSITIVITY ANALYSIS;

EID: 62849085808     PISSN: 01966553     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ajic.2008.07.004     Document Type: Article
Times cited : (16)

References (14)
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  • 6
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    • Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections
    • Stevenson K.B., Khan Y., Dickman J., Gillenwater T., Kulich P., Myers C., et al. Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections. Am J Infect Control 36 (2008) 155-164
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    • Gastmeier, P.1
  • 9
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    • European perspective on surveillance
    • the Finnish Prevalence Survey Study Group
    • Lyytikainen O., Kanerva M., Agthe N., Mottonen T., Ruutu P., and the Finnish Prevalence Survey Study Group. European perspective on surveillance. J Hosp Infect 69 (2008) 288-294
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    • Lyytikainen, O.1    Kanerva, M.2    Agthe, N.3    Mottonen, T.4    Ruutu, P.5
  • 10
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    • Incidence and prevalence as used in the analysis of the occurrence of nosocomial infection rates
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  • 12
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    • Linkage of microbiology reports and hospital discharge diagnoses for surveillance of surgical site infections
    • Spolaore P., Pellizzer G., Fedeli U., Schievano E., Mantoan P., Timillero L., et al. Linkage of microbiology reports and hospital discharge diagnoses for surveillance of surgical site infections. J Hosp Infect 60 (2005) 317-320
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  • 13
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    • Use of ICD-9-CM coding as a case-finding method for sternal wound infections after CABG procedures
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.