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Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing
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 r...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Centers for Disease Control and Prevention
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823336/ https://www.ncbi.nlm.nih.gov/pubmed/29460760 http://dx.doi.org/10.3201/eid2403.170961 |
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| author | Kamboj, Mini Brite, Jennifer Aslam, Anoshe Kennington, Jessica Babady, N. Esther Calfee, David Furuya, Yoko Chen, Donald Augenbraun, Michael Ostrowsky, Belinda Patel, Gopi Mircescu, Monica Kak, Vivek Tuma, Roman Karre, Teresa A. Fry, Deborah A. Duhaney, Yola P. Moyer, Amber Mitchell, Denise Cantu, Sherry Hsieh, Candace Warren, Nancy Martin, Stacy Willson, Jill Dickman, Jeanne Knight, Julie Delahanty, Kim Flood, Annemarie Harrington, Jennifer Korenstein, Deborah Eagan, Janet Sepkowitz, Kent |
| author_facet | Kamboj, Mini Brite, Jennifer Aslam, Anoshe Kennington, Jessica Babady, N. Esther Calfee, David Furuya, Yoko Chen, Donald Augenbraun, Michael Ostrowsky, Belinda Patel, Gopi Mircescu, Monica Kak, Vivek Tuma, Roman Karre, Teresa A. Fry, Deborah A. Duhaney, Yola P. Moyer, Amber Mitchell, Denise Cantu, Sherry Hsieh, Candace Warren, Nancy Martin, Stacy Willson, Jill Dickman, Jeanne Knight, Julie Delahanty, Kim Flood, Annemarie Harrington, Jennifer Korenstein, Deborah Eagan, Janet Sepkowitz, Kent |
| author_sort | Kamboj, Mini |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-5823336 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2018 |
| publisher | Centers for Disease Control and Prevention |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-58233362018-03-01 Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing Kamboj, Mini Brite, Jennifer Aslam, Anoshe Kennington, Jessica Babady, N. Esther Calfee, David Furuya, Yoko Chen, Donald Augenbraun, Michael Ostrowsky, Belinda Patel, Gopi Mircescu, Monica Kak, Vivek Tuma, Roman Karre, Teresa A. Fry, Deborah A. Duhaney, Yola P. Moyer, Amber Mitchell, Denise Cantu, Sherry Hsieh, Candace Warren, Nancy Martin, Stacy Willson, Jill Dickman, Jeanne Knight, Julie Delahanty, Kim Flood, Annemarie Harrington, Jennifer Korenstein, Deborah Eagan, Janet Sepkowitz, Kent Emerg Infect Dis Dispatch 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. Centers for Disease Control and Prevention 2018-03 /pmc/articles/PMC5823336/ /pubmed/29460760 http://dx.doi.org/10.3201/eid2403.170961 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
| spellingShingle | Dispatch Kamboj, Mini Brite, Jennifer Aslam, Anoshe Kennington, Jessica Babady, N. Esther Calfee, David Furuya, Yoko Chen, Donald Augenbraun, Michael Ostrowsky, Belinda Patel, Gopi Mircescu, Monica Kak, Vivek Tuma, Roman Karre, Teresa A. Fry, Deborah A. Duhaney, Yola P. Moyer, Amber Mitchell, Denise Cantu, Sherry Hsieh, Candace Warren, Nancy Martin, Stacy Willson, Jill Dickman, Jeanne Knight, Julie Delahanty, Kim Flood, Annemarie Harrington, Jennifer Korenstein, Deborah Eagan, Janet Sepkowitz, Kent Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title | Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title_full | Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title_fullStr | Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title_full_unstemmed | Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title_short | Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing |
| title_sort | artificial differences in clostridium difficile infection rates associated with disparity in testing |
| topic | Dispatch |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823336/ https://www.ncbi.nlm.nih.gov/pubmed/29460760 http://dx.doi.org/10.3201/eid2403.170961 |
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