Healthcare Associated Infections (HAIs) Data, Reports, and Publications


Under state law (Sections 12 and 13 of Public Act No. 18-168), Connecticut healthcare facilities must report their incidence of certain healthcare associated infections (HAIs) to the Connecticut Department of Public Health (CTDPH). 

For definitions of the different types of HAIs, please click here and for antimicrobial resistance click here.

How do Healthcare Facilities Report?

Healthcare facilities report their HAI data to the CTDPH using the National Healthcare Safety Network (NHSN).  NHSN is a United States Centers for Disease Control and Prevention (CDC) computerized system for tracking HAIs. The NHSN allows healthcare facilities to submit their data through the internet in a secure manner that protects the confidentiality of patients and also provides the guidelines that facilites use to identify HAIs. Through NHSN, healthcare facilities can compare their results against national data to see how well they are doing. 

Reports on Acute Care Hospitals (ACH), Inpatient Rehabilitation Facilities (IRF), and Long Term Care Hospitals

HAI data, along with other data on adverse events that happen in healthcare facilities, is also reported to the Centers for Medicaid and Medicare Services (CMS), and posted on their Dialysis Facilities Compare,  Hospital Compare, and Nursing Home Compare websites.

Interpreting the Data and the SIR

Legislative Reports

Under state law (Section 13 of Public Act No. 18-168), the Connecticut Department of Public Health is required to submit a report to the Connecticut General Assembly on the information collected through the mandatory reporting system on HAIs. 



Validation of Selected Healthcare-Associated Infection (HAI) Reporting in Connecticut Hospitals. Final Report - 2017.  John Snow, Inc.


Changes in Prevalence of Health Care-Associated Infections in U.S. Hospitals. Magill, SS, et. al. N Engl J Med 2018; 379:1732-1744.


Challenges in identifying Candida auris in hospital clinical laboratories: a need for hospital and public health laboratory collaboration in rapid identification of an emerging pathogen. Durante AJ, et al. (2018) Infection Control & Hospital Epidemiology 2018, 39, 1015-1016.


Validation of surgical site infection surveillance data in colon procedures reported to the Connecticut Department of Public Health. Lauren A Backman MHS, RN, Evelyn Carusillo MA, BSN, RN, CIC, Laurie N. D'aquila RN, CIC, Richard Melchreit MD, Renee Fekieta PhD. Am J Infect Control 45(2017) 690-1.


Investigation of Escherichia coli Harboring the mcr-1 Resistance Gene - Connecticut, 2016. CDC MMWR


Estimating central line-associated bloodstream infection incidence rates by sampling of denominator data: A prospective, multicenter evaluation. Nicola D. Thompson PhD, MS, et. al. (Connecticut author Meghan Maloney MPH). Am J Infect Control 43(2015) 853-6.


Validation of the surveillance and reporting of central line-associated bloodstream infection denominator data. Backman LA, Nobert G, Melchreit R, et. al. Am J Infect Control. 2014 Jan;42(1):28-33. doi: 10.1016/j.ajic.2013.06.014. Epub 2013 Oct 29.


Validation of the surveillance and reporting of central line-associated bloodstream infection data to a state health department. Backman LA, Melchreit R, Rodriguez R. Am J Infect Control. 2010.


Articles of General Interest


Measuring Antibiotic Appropriateness for Urinary Tract Infections in Nursing Home Residents. Infection Control and Hospital Epidemiology.


Colistin- and Carbapenem-Resistant Escherichia coli Harboring mcr-1 and blaNDM-5, Causing a Complicated Urinary Tract Infection in a Patient from the United States. American Society for Microbiology


Investigation of First Identified mcr-1 Gene in an Isolate from a U.S. Patient - Pennsylvania, 2016. CDC MMWR










To contact the Healthcare Associated Infections Program, please call 860-509-7995.