Defining the epidemiology of bloodstream infections: the ‘gold standard’ of population-based assessment
Bloodstream infections (BSIs) are a major cause of morbidity and mortality. Although population-based studies have been proposed as an optimal means to define their epidemiology, the merit of these designs has not been well documented. This report investigated the potential value of using population...
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| Veröffentlicht in: | Epidemiology and infection 2013-10, Vol.141 (10), p.2149-2157 |
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| creator | LAUPLAND, K. B. |
| description | Bloodstream infections (BSIs) are a major cause of morbidity and mortality. Although population-based studies have been proposed as an optimal means to define their epidemiology, the merit of these designs has not been well documented. This report investigated the potential value of using population-based designs in defining the epidemiology of BSIs. Population-based BSI surveillance was conducted in Calgary, Canada (population 1·24 million) and illustrative comparisons were made between the overall and selected subgroup cohorts within five main themes. The value of population denominator data, and age and gender standardization for calculation and comparison of incidence rates were demonstrated. In addition, a number of biases including those related to differential admission rates, selected hospital admission, and referral bias were highlighted in non-population-based cohorts. Due to their comprehensive nature and intrinsic minimization of bias, population-based designs should be considered the gold standard means of defining the epidemiology of an infectious disease. |
| doi_str_mv | 10.1017/S0950268812002725 |
| format | Article |
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B.</creator><creatorcontrib>LAUPLAND, K. B.</creatorcontrib><description>Bloodstream infections (BSIs) are a major cause of morbidity and mortality. Although population-based studies have been proposed as an optimal means to define their epidemiology, the merit of these designs has not been well documented. This report investigated the potential value of using population-based designs in defining the epidemiology of BSIs. Population-based BSI surveillance was conducted in Calgary, Canada (population 1·24 million) and illustrative comparisons were made between the overall and selected subgroup cohorts within five main themes. The value of population denominator data, and age and gender standardization for calculation and comparison of incidence rates were demonstrated. In addition, a number of biases including those related to differential admission rates, selected hospital admission, and referral bias were highlighted in non-population-based cohorts. Due to their comprehensive nature and intrinsic minimization of bias, population-based designs should be considered the gold standard means of defining the epidemiology of an infectious disease.</description><identifier>ISSN: 0950-2688</identifier><identifier>EISSN: 1469-4409</identifier><identifier>DOI: 10.1017/S0950268812002725</identifier><identifier>PMID: 23218097</identifier><identifier>CODEN: EPINEU</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adult ; Age ; Aged ; Aged, 80 and over ; Bacteremia - epidemiology ; Bacterial infections ; Biological and medical sciences ; Canada - epidemiology ; Child ; Child, Preschool ; Cohort Studies ; Disease ; Epidemiologic Methods ; Epidemiologic Research Design ; Epidemiology ; Female ; Fundamental and applied biological sciences. 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B.</creatorcontrib><title>Defining the epidemiology of bloodstream infections: the ‘gold standard’ of population-based assessment</title><title>Epidemiology and infection</title><addtitle>Epidemiol. Infect</addtitle><description>Bloodstream infections (BSIs) are a major cause of morbidity and mortality. Although population-based studies have been proposed as an optimal means to define their epidemiology, the merit of these designs has not been well documented. This report investigated the potential value of using population-based designs in defining the epidemiology of BSIs. Population-based BSI surveillance was conducted in Calgary, Canada (population 1·24 million) and illustrative comparisons were made between the overall and selected subgroup cohorts within five main themes. The value of population denominator data, and age and gender standardization for calculation and comparison of incidence rates were demonstrated. In addition, a number of biases including those related to differential admission rates, selected hospital admission, and referral bias were highlighted in non-population-based cohorts. Due to their comprehensive nature and intrinsic minimization of bias, population-based designs should be considered the gold standard means of defining the epidemiology of an infectious disease.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bacteremia - epidemiology</subject><subject>Bacterial infections</subject><subject>Biological and medical sciences</subject><subject>Canada - epidemiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cohort Studies</subject><subject>Disease</subject><subject>Epidemiologic Methods</subject><subject>Epidemiologic Research Design</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gender</subject><subject>HAI, Bacterial infections</subject><subject>Health services</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infections</subject><subject>Male</subject><subject>Males</subject><subject>Microbiology</subject><subject>Middle Aged</subject><subject>Original Papers</subject><subject>Personal health</subject><subject>Population Surveillance</subject><subject>Population-based studies</subject><subject>Regions</subject><subject>Standardization</subject><subject>Young adults</subject><issn>0950-2688</issn><issn>1469-4409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1u1TAUhC0EopfCA7AARUJIbAL-jW0WSKj8SpVYAOvIcU5SXxI72AlSd32M9vX6JDjcS1tArLyYb8ZnNAg9JPg5wUS--Iy1wLRSilCMqaTiFtoQXumSc6xvo80ql6t-gO6ltMUYa6rkXXRAGSUKa7lB395A57zzfTGfQAGTa2F0YQj9aRG6ohlCaNMcwYyF8x3Y2QWfXv5iL8_O-zC0RZqNb01sL88uVssUpmUwK1c2JkFbmJQgpRH8fB_d6cyQ4MH-PURf3739cvShPP70_uPR6-PSCsrm0mLDCVdYgQFFrACrOZUVI5ZaobFgttJGQgWCVthmj1WWWakazsBiwdkherXLnZZmhNbmr6MZ6im60cTTOhhX_6l4d1L34UetiSBMixzwbB8Qw_cF0lyPLlkYBuMhLKkmnGpKKlXRjD75C92GJfpcb6WUwCyHZorsKBtDShG6q2MIrtcp63-mzJ7HN1tcOX5vl4Gne8Aka4YuGm9duuakJFRilrlHO26b5hCvdc6lyEFZZ_vjzNhE1_Zwo8N_z_sJI9PCPw</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>LAUPLAND, K. 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B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c523t-c0a414808eae81c5ec9427631c2c59053c69a7e6e5260cc52c8c3c78b43ec0543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bacteremia - epidemiology</topic><topic>Bacterial infections</topic><topic>Biological and medical sciences</topic><topic>Canada - epidemiology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cohort Studies</topic><topic>Disease</topic><topic>Epidemiologic Methods</topic><topic>Epidemiologic Research Design</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. 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B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defining the epidemiology of bloodstream infections: the ‘gold standard’ of population-based assessment</atitle><jtitle>Epidemiology and infection</jtitle><addtitle>Epidemiol. Infect</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>141</volume><issue>10</issue><spage>2149</spage><epage>2157</epage><pages>2149-2157</pages><issn>0950-2688</issn><eissn>1469-4409</eissn><coden>EPINEU</coden><abstract>Bloodstream infections (BSIs) are a major cause of morbidity and mortality. Although population-based studies have been proposed as an optimal means to define their epidemiology, the merit of these designs has not been well documented. This report investigated the potential value of using population-based designs in defining the epidemiology of BSIs. 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| ispartof | Epidemiology and infection, 2013-10, Vol.141 (10), p.2149-2157 |
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| source | MEDLINE; JSTOR Archive Collection A-Z Listing; PubMed Central |
| subjects | Adolescent Adult Age Aged Aged, 80 and over Bacteremia - epidemiology Bacterial infections Biological and medical sciences Canada - epidemiology Child Child, Preschool Cohort Studies Disease Epidemiologic Methods Epidemiologic Research Design Epidemiology Female Fundamental and applied biological sciences. Psychology Gender HAI, Bacterial infections Health services Hospitals Humans Infections Male Males Microbiology Middle Aged Original Papers Personal health Population Surveillance Population-based studies Regions Standardization Young adults |
| title | Defining the epidemiology of bloodstream infections: the ‘gold standard’ of population-based assessment |
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