BHAI

BHAI estimates the burden of healthcare-associated infections (HAIs) in disability-adjusted life years (DALYs) using methodologies from the Burden of Communicable Diseases in Europe (BCoDE) project and point-prevalence survey data.


Key Features:

  • Methodology: Builds upon methodologies used by the Burden of Communicable Diseases in Europe (BCoDE) project to estimate the burden of five common HAIs: healthcare-associated Clostridioides difficile infection, healthcare-associated pneumonia, healthcare-associated primary bloodstream infection, healthcare-associated urinary tract infection, and surgical-site infection.
  • Data Utilization: Utilizes data from the point prevalence survey of HAIs conducted in European acute-care hospitals in 2011–2012.
  • Estimation Capabilities: Produces estimates of HAI cases, attributable deaths, and DALYs; for Germany it estimated approximately 478,222 cases (95% UI: 421,350–537,787), 16,245 attributable deaths (95% UI: 10,863–22,756), and 248,920 DALYs (95% UI: 178,693–336,239).
  • Comparative Analysis: Reports DALYs per 100,000 population to enable comparisons, with Germany at 308.2 DALYs per 100,000 (95% UI: 221.2–416.3) versus the EU/EEA average of 290.0 (95% UI: 214.9–376.9).
  • Applicability: Implements a methodology adaptable for national burden estimation in other countries both within and outside the EU/EEA.

Scientific Applications:

  • Epidemiological burden quantification: Provides DALY-based estimates of HAI burden to inform epidemiologists and infection control specialists.
  • Public health decision support: Enables comparison of HAI burdens across regions to support healthcare policy and prioritization of infection prevention measures.

Methodology:

Implements BCoDE-based methods using 2011–2012 European acute-care hospital point-prevalence survey data to estimate HAI cases, attributable deaths, and DALYs for the five specified infection types.

Topics

Details

License:
GPL-3.0
Tool Type:
library
Programming Languages:
R
Added:
1/14/2020
Last Updated:
1/14/2021

Operations

Publications

Zacher B, Haller S, Willrich N, Walter J, Abu Sin M, Cassini A, Plachouras D, Suetens C, Behnke M, Gastmeier P, Wieler LH, Eckmanns T. Application of a new methodology and R package reveals a high burden of healthcare-associated infections (HAI) in Germany compared to the average in the European Union/European Economic Area, 2011 to 2012. Eurosurveillance. 2019;24(46). doi:10.2807/1560-7917.es.2019.24.46.1900135. PMID:31771703. PMCID:PMC6864977.