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Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality
BACKGROUND: Methicillin-resistant staphylococcus aureus (MRSA), central line associated with blood stream infections (CLABSIs), catheter associated urinary tract infections (CAUTIs) and surgical site infections (SSIs) are health care associated infections (HAIs) which are a massive burden on the hea...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5631679/ http://dx.doi.org/10.1093/ofid/ofx163.330 |
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author | Shah, Aditya Sansom, Sarah |
author_facet | Shah, Aditya Sansom, Sarah |
author_sort | Shah, Aditya |
collection | PubMed |
description | BACKGROUND: Methicillin-resistant staphylococcus aureus (MRSA), central line associated with blood stream infections (CLABSIs), catheter associated urinary tract infections (CAUTIs) and surgical site infections (SSIs) are health care associated infections (HAIs) which are a massive burden on the health care system. These issues are closely linked with reimbursement and outcomes. It is postulated that the spread of these health care associated infections is linked closely with mortality from sepsis. METHODS: De identified data about the number of board certified Infectious Disease (ID) physicians by zip code was obtained from the Doximity physician database. We then conducted a descriptive analysis using mortality data from the National Center for Health Statistics’(NCHS), Compressed Mortality File (CMF), which contains descriptive data on the age, race, sex, year and causes of all deaths in the US. We defined sepsis death as death attributed to an infection. In addition, the location of current ID fellowships was obtained from the National Residency Matching Program (NRMP) public data. These were mapped using Google fusion tables and the results compared with CDC databases: prevalence of MRSA, CLABSIs, CAUTIs and SSIs. RESULTS: A total 147 fellowship programs and 7129 board certified physicians were identified in ID. Mortality from sepsis was highest in states: Arkansas, Louisiana, Mississippi, Tennessee, Kentucky, West Virginia and Florida, which correlated with the highest prevalence of MRSA, CLABSIs, CAUTIs and SSIs. ID fellowships and board certified physicians on the other hand tend to be concentrated on the East coast and the metropolitan cities of the West. Studies have also shown in the past that physicians tend to practice in geographical locations where they completed their training. CONCLUSION: The use of this novel social network mapping approach to assess the Infectious Diseases physician workforce has the potential of providing real-time data regarding their geographical spread. HAIs and mortality from sepsis tend to be higher in locations with fewer ID fellowships and board certified physicians. This problem could be addressed by rebalancing interventions and focussing on efforts to match the work force with the prevalence of HAIs and locations with higher sepsis mortality. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-5631679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56316792017-11-07 Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality Shah, Aditya Sansom, Sarah Open Forum Infect Dis Abstracts BACKGROUND: Methicillin-resistant staphylococcus aureus (MRSA), central line associated with blood stream infections (CLABSIs), catheter associated urinary tract infections (CAUTIs) and surgical site infections (SSIs) are health care associated infections (HAIs) which are a massive burden on the health care system. These issues are closely linked with reimbursement and outcomes. It is postulated that the spread of these health care associated infections is linked closely with mortality from sepsis. METHODS: De identified data about the number of board certified Infectious Disease (ID) physicians by zip code was obtained from the Doximity physician database. We then conducted a descriptive analysis using mortality data from the National Center for Health Statistics’(NCHS), Compressed Mortality File (CMF), which contains descriptive data on the age, race, sex, year and causes of all deaths in the US. We defined sepsis death as death attributed to an infection. In addition, the location of current ID fellowships was obtained from the National Residency Matching Program (NRMP) public data. These were mapped using Google fusion tables and the results compared with CDC databases: prevalence of MRSA, CLABSIs, CAUTIs and SSIs. RESULTS: A total 147 fellowship programs and 7129 board certified physicians were identified in ID. Mortality from sepsis was highest in states: Arkansas, Louisiana, Mississippi, Tennessee, Kentucky, West Virginia and Florida, which correlated with the highest prevalence of MRSA, CLABSIs, CAUTIs and SSIs. ID fellowships and board certified physicians on the other hand tend to be concentrated on the East coast and the metropolitan cities of the West. Studies have also shown in the past that physicians tend to practice in geographical locations where they completed their training. CONCLUSION: The use of this novel social network mapping approach to assess the Infectious Diseases physician workforce has the potential of providing real-time data regarding their geographical spread. HAIs and mortality from sepsis tend to be higher in locations with fewer ID fellowships and board certified physicians. This problem could be addressed by rebalancing interventions and focussing on efforts to match the work force with the prevalence of HAIs and locations with higher sepsis mortality. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2017-10-04 /pmc/articles/PMC5631679/ http://dx.doi.org/10.1093/ofid/ofx163.330 Text en © The Author 2017. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Shah, Aditya Sansom, Sarah Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title | Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title_full | Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title_fullStr | Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title_full_unstemmed | Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title_short | Map the Gap: Using Regional Mapping to Determine the State of the Infectious Diseases Workforce with Regards to Health Care Associated Infections and Sepsis Mortality |
title_sort | map the gap: using regional mapping to determine the state of the infectious diseases workforce with regards to health care associated infections and sepsis mortality |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5631679/ http://dx.doi.org/10.1093/ofid/ofx163.330 |
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