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660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population

BACKGROUND: In September 2016, the Americas was the first region to eliminate measles, a highly contagious, vaccine-preventable disease that can lead to complications and death. To maintain elimination, the Pan American Health Organization (PAHO) suggested a minimum rate of suspected measles investi...

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Autores principales: McKay, Susannah, Leung, Jessica, Gastanaduy, Paul, Routh, Janell, Harpaz, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255397/
http://dx.doi.org/10.1093/ofid/ofy210.667
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author McKay, Susannah
Leung, Jessica
Gastanaduy, Paul
Routh, Janell
Harpaz, Rafael
author_facet McKay, Susannah
Leung, Jessica
Gastanaduy, Paul
Routh, Janell
Harpaz, Rafael
author_sort McKay, Susannah
collection PubMed
description BACKGROUND: In September 2016, the Americas was the first region to eliminate measles, a highly contagious, vaccine-preventable disease that can lead to complications and death. To maintain elimination, the Pan American Health Organization (PAHO) suggested a minimum rate of suspected measles investigations (≥2 per 100,000 population) be conducted annually. However, measles-like illness (MLI) investigations conducted by US clinicians are not tracked by the measles surveillance program in the United States. To ensure the US meets PAHO standards, we estimated the rate of MLI investigations using a large insurance claims database. METHODS: We used the 2009–2016 Truven Health MarketScan(®) Databases to identify MLI and MLI investigations. MLI were defined using International Classification of Diseases (ICD)-9/10 diagnostic codes in two ways: a priori, using the Council of State and Territorial Epidemiologists (CSTE) measles case definition or empirically, using ICD codes on insurance claims with a measles diagnostic code. MLI investigations were defined as MLI occurring up to 5 days prior to a measles diagnostic code or billing code for measles serology testing. We computed annual rates of MLI investigations per 100,000 population. RESULTS: We identified ~35.5 million MLI using the a priori definition. Of these, 24,010 had a measles serology code within 5 days; median age was 30 and 51% were aged 18–34 years. Using the empirical definition we identified ~46 million MLI. Of these, 29,940 were coupled with a measles serology code; median age was 31 and 50% were aged 18–34 years. The median annual rates for MLI investigations were 3.2 (a priori) and 4.3 (empirical) per 100,000 population. CONCLUSION: Maintaining measles elimination requires continued vigilance by clinicians and high-quality case-based surveillance. The estimated rates of MLI investigations in this US population exceeded the PAHO standard, suggesting that the quality of US measles surveillance is robust. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62553972018-11-28 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population McKay, Susannah Leung, Jessica Gastanaduy, Paul Routh, Janell Harpaz, Rafael Open Forum Infect Dis Abstracts BACKGROUND: In September 2016, the Americas was the first region to eliminate measles, a highly contagious, vaccine-preventable disease that can lead to complications and death. To maintain elimination, the Pan American Health Organization (PAHO) suggested a minimum rate of suspected measles investigations (≥2 per 100,000 population) be conducted annually. However, measles-like illness (MLI) investigations conducted by US clinicians are not tracked by the measles surveillance program in the United States. To ensure the US meets PAHO standards, we estimated the rate of MLI investigations using a large insurance claims database. METHODS: We used the 2009–2016 Truven Health MarketScan(®) Databases to identify MLI and MLI investigations. MLI were defined using International Classification of Diseases (ICD)-9/10 diagnostic codes in two ways: a priori, using the Council of State and Territorial Epidemiologists (CSTE) measles case definition or empirically, using ICD codes on insurance claims with a measles diagnostic code. MLI investigations were defined as MLI occurring up to 5 days prior to a measles diagnostic code or billing code for measles serology testing. We computed annual rates of MLI investigations per 100,000 population. RESULTS: We identified ~35.5 million MLI using the a priori definition. Of these, 24,010 had a measles serology code within 5 days; median age was 30 and 51% were aged 18–34 years. Using the empirical definition we identified ~46 million MLI. Of these, 29,940 were coupled with a measles serology code; median age was 31 and 50% were aged 18–34 years. The median annual rates for MLI investigations were 3.2 (a priori) and 4.3 (empirical) per 100,000 population. CONCLUSION: Maintaining measles elimination requires continued vigilance by clinicians and high-quality case-based surveillance. The estimated rates of MLI investigations in this US population exceeded the PAHO standard, suggesting that the quality of US measles surveillance is robust. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6255397/ http://dx.doi.org/10.1093/ofid/ofy210.667 Text en © The Author(s) 2018. 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
McKay, Susannah
Leung, Jessica
Gastanaduy, Paul
Routh, Janell
Harpaz, Rafael
660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title_full 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title_fullStr 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title_full_unstemmed 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title_short 660. Are US Clinicians Thinking Measles in the Post-elimination Era? Surveillance for Measles-Like Illness in a Commercially Insured US Population
title_sort 660. are us clinicians thinking measles in the post-elimination era? surveillance for measles-like illness in a commercially insured us population
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255397/
http://dx.doi.org/10.1093/ofid/ofy210.667
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