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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedEisler L, Huang G, Lee KM
Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data.
This study aims to identify the incidence of and risk factors for perioperative aspiration in children using quality assurance data supplemented by administrative billing records, and to examine the utility of billing data as a supplementary data source. The investigators found that International Classification of Diseases, Ninth Revision codes for aspiration used as a secondary data source were nonspecific for perioperative aspiration, but when combined with record review yielded a 30% increase in identified cases of aspiration over quality assurance data alone.
AHRQ-funded; HS022941.
Citation: Eisler L, Huang G, Lee KM .
Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data.
Paediatr Anaesth 2018 Mar;28(3):218-25. doi: 10.1111/pan.13319..
Keywords: Adverse Events, Children/Adolescents, Data, Pneumonia, Respiratory Conditions
Bhattacharyya S, Gesteland PH, Korgenski K
Cross-immunity between strains explains the dynamical pattern of paramyxoviruses.
The researchers used long-term incidence data on Respiratory Syncytial Virus (RSV), three serotypes of Human Parainfluenza Virus (HPIV), and Human Metapneumovirus to study mathematical models of different mechanisms of pathogen interaction. Their results showed a strong signal of cross-protection from RSV in controlling the timing and magnitude of HPIV outbreaks, and a stronger interaction with more closely related serotypes.
AHRQ-funded; HS018538.
Citation: Bhattacharyya S, Gesteland PH, Korgenski K .
Cross-immunity between strains explains the dynamical pattern of paramyxoviruses.
Proc Natl Acad Sci U S A 2015 Oct 27;112(43):13396-400. doi: 10.1073/pnas.1516698112..
Keywords: Data, Public Health, Respiratory Conditions