Artificial differences in clostridium difficile infection rates associated with disparity in testing

Mini Kamboj; Jennifer Brite; Anoshe Aslam; Jessica Kennington; N. Esther Babady; David Calfee; Yoko Furuya; Donald Chen; Michael Augenbraun; Belinda Ostrowsky; Gopi Patel; Monica Mircescu; Vivek Kak; Roman Tuma; Teresa A. Karre; Deborah A. Fry; Yola P. Duhaney; Amber Moyer; Denise Mitchell; Sherry Cantu; Candace Hsieh; Nancy Warren; Stacy Martin; Jill Willson; Jeanne Dickman; Julie Knight; Kim Delahanty; Annemarie Flood; Jennifer Harrington; Deborah Korenstein; Janet Eagan; Kent Sepkowitz

doi:10.3201/eid2403.170961

Artificial differences in clostridium difficile infection rates associated with disparity in testing

Mini Kamboj, Jennifer Brite, Anoshe Aslam, Jessica Kennington, N. Esther Babady, David Calfee, Yoko Furuya, Donald Chen, Michael Augenbraun, Belinda Ostrowsky, Gopi Patel, Monica Mircescu, Vivek Kak, Roman Tuma, Teresa A. Karre, Deborah A. Fry, Yola P. Duhaney, Amber Moyer, Denise Mitchell, Sherry CantuCandace Hsieh, Nancy Warren, Stacy Martin, Jill Willson, Jeanne Dickman, Julie Knight, Kim Delahanty, Annemarie Flood, Jennifer Harrington, Deborah Korenstein, Janet Eagan, Kent Sepkowitz

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

In 2015, Clostridium difficile testing rates among 30 US community, multispecialty, and cancer hospitals were 14.0, 16.3, and 33.9/1,000 patient-days, respectively. Pooled hospital onset rates were 0.56, 0.84, and 1.57/1,000 patient-days, respectively. Higher testing rates may artificially inflate reported rates of C. difficile infection. C. difficile surveillance should consider testing frequency.

Original language	English
Pages (from-to)	584-587
Number of pages	4
Journal	Emerging Infectious Diseases
Volume	24
Issue number	3
DOIs	https://doi.org/10.3201/eid2403.170961
State	Published - Mar 2018

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Kamboj, M., Brite, J., Aslam, A., Kennington, J., Babady, N. E., Calfee, D., Furuya, Y., Chen, D., Augenbraun, M., Ostrowsky, B., Patel, G., Mircescu, M., Kak, V., Tuma, R., Karre, T. A., Fry, D. A., Duhaney, Y. P., Moyer, A., Mitchell, D., ... Sepkowitz, K. (2018). Artificial differences in clostridium difficile infection rates associated with disparity in testing. Emerging Infectious Diseases, 24(3), 584-587. https://doi.org/10.3201/eid2403.170961

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title = "Artificial differences in clostridium difficile infection rates associated with disparity in testing",

abstract = "In 2015, Clostridium difficile testing rates among 30 US community, multispecialty, and cancer hospitals were 14.0, 16.3, and 33.9/1,000 patient-days, respectively. Pooled hospital onset rates were 0.56, 0.84, and 1.57/1,000 patient-days, respectively. Higher testing rates may artificially inflate reported rates of C. difficile infection. C. difficile surveillance should consider testing frequency.",

author = "Mini Kamboj and Jennifer Brite and Anoshe Aslam and Jessica Kennington and Babady, {N. Esther} and David Calfee and Yoko Furuya and Donald Chen and Michael Augenbraun and Belinda Ostrowsky and Gopi Patel and Monica Mircescu and Vivek Kak and Roman Tuma and Karre, {Teresa A.} and Fry, {Deborah A.} and Duhaney, {Yola P.} and Amber Moyer and Denise Mitchell and Sherry Cantu and Candace Hsieh and Nancy Warren and Stacy Martin and Jill Willson and Jeanne Dickman and Julie Knight and Kim Delahanty and Annemarie Flood and Jennifer Harrington and Deborah Korenstein and Janet Eagan and Kent Sepkowitz",

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month = mar,

doi = "10.3201/eid2403.170961",

language = "English",

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pages = "584--587",

journal = "Emerging Infectious Diseases",

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Kamboj, M, Brite, J, Aslam, A, Kennington, J, Babady, NE, Calfee, D, Furuya, Y, Chen, D, Augenbraun, M, Ostrowsky, B, Patel, G, Mircescu, M, Kak, V, Tuma, R, Karre, TA, Fry, DA, Duhaney, YP, Moyer, A, Mitchell, D, Cantu, S, Hsieh, C, Warren, N, Martin, S, Willson, J, Dickman, J, Knight, J, Delahanty, K, Flood, A, Harrington, J, Korenstein, D, Eagan, J & Sepkowitz, K 2018, 'Artificial differences in clostridium difficile infection rates associated with disparity in testing', Emerging Infectious Diseases, vol. 24, no. 3, pp. 584-587. https://doi.org/10.3201/eid2403.170961

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AU - Kamboj, Mini

AU - Brite, Jennifer

AU - Aslam, Anoshe

AU - Kennington, Jessica

AU - Babady, N. Esther

AU - Calfee, David

AU - Furuya, Yoko

AU - Chen, Donald

AU - Augenbraun, Michael

AU - Ostrowsky, Belinda

AU - Patel, Gopi

AU - Mircescu, Monica

AU - Kak, Vivek

AU - Tuma, Roman

AU - Karre, Teresa A.

AU - Fry, Deborah A.

AU - Duhaney, Yola P.

AU - Moyer, Amber

AU - Mitchell, Denise

AU - Cantu, Sherry

AU - Hsieh, Candace

AU - Warren, Nancy

AU - Martin, Stacy

AU - Willson, Jill

AU - Dickman, Jeanne

AU - Knight, Julie

AU - Delahanty, Kim

AU - Flood, Annemarie

AU - Harrington, Jennifer

AU - Korenstein, Deborah

AU - Eagan, Janet

AU - Sepkowitz, Kent

PY - 2018/3

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AB - In 2015, Clostridium difficile testing rates among 30 US community, multispecialty, and cancer hospitals were 14.0, 16.3, and 33.9/1,000 patient-days, respectively. Pooled hospital onset rates were 0.56, 0.84, and 1.57/1,000 patient-days, respectively. Higher testing rates may artificially inflate reported rates of C. difficile infection. C. difficile surveillance should consider testing frequency.

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JF - Emerging Infectious Diseases

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Artificial differences in clostridium difficile infection rates associated with disparity in testing

Abstract

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