BACKGROUND: In 2004, the Commonwealth of Pennsylvania mandated hospitals to report healthcare-associated infections (HAIs). The increased workload led our Infection Control staff to collaborate with Atlas, a group of chart abstractors. OBJECTIVE: The objective of this study was to assess our first year of experience with mandatory reporting of HAIs--specifically, to assess Atlas' contribution to surveillance. DESIGN: Cases were selected if they had 1 or more of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes designated by Pennsylvania as a possible HAI. After training by the Infection Control staff, Atlas applied National Nosocomial Infection Surveillance (NNIS) system case definitions for catheter-associated urinary tract infections (UTIs) and surgical site infections (SSIs), and they applied NNIS chest imaging criteria to eliminate cases that were not ventilator-associated pneumonia (VAP). To assess Atlas' performance, Infection Control staff conducted a parallel review. RESULTS: For discharges from the hospital during the fourth quarter of 2004, a total of 410 UTIs, 59 SSIs, and 56 VAPs were identified on the basis of state-designated ICD-9-CM codes; review by Atlas/Infection Control determined that 15%, 15%, and 16% of cases met case definitions, respectively. Of cases reviewed by both Infection Control and Atlas, 87% of the assessments made by Atlas were correct for UTI, and 96% were correct for SSI. For VAP, Infection Control concluded that 39% of cases could be ruled out on the basis of chest imaging criteria; Atlas correctly dismissed these 12 cases but incorrectly dismissed an additional 6 (error, 19%). Surveillance was not timely: 1-2 months elapsed between the time of HAI onset and the earliest case review. CONCLUSIONS: With ongoing training by Infection Control, Atlas successfully demonstrated a role in retrospective HAI surveillance. However, despite a major effort to comply with mandates, time lags and other design limitations rendered the data of low utility for Infection Control. States that are planning HAI-reporting programs should standardize an efficient surveillance methodology that yields data capable of guiding interventions to prevent HAI.
BACKGROUND: In 2004, the Commonwealth of Pennsylvania mandated hospitals to report healthcare-associated infections (HAIs). The increased workload led our Infection Control staff to collaborate with Atlas, a group of chart abstractors. OBJECTIVE: The objective of this study was to assess our first year of experience with mandatory reporting of HAIs--specifically, to assess Atlas' contribution to surveillance. DESIGN: Cases were selected if they had 1 or more of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes designated by Pennsylvania as a possible HAI. After training by the Infection Control staff, Atlas applied National Nosocomial Infection Surveillance (NNIS) system case definitions for catheter-associated urinary tract infections (UTIs) and surgical site infections (SSIs), and they applied NNIS chest imaging criteria to eliminate cases that were not ventilator-associated pneumonia (VAP). To assess Atlas' performance, Infection Control staff conducted a parallel review. RESULTS: For discharges from the hospital during the fourth quarter of 2004, a total of 410 UTIs, 59 SSIs, and 56 VAPs were identified on the basis of state-designated ICD-9-CM codes; review by Atlas/Infection Control determined that 15%, 15%, and 16% of cases met case definitions, respectively. Of cases reviewed by both Infection Control and Atlas, 87% of the assessments made by Atlas were correct for UTI, and 96% were correct for SSI. For VAP, Infection Control concluded that 39% of cases could be ruled out on the basis of chest imaging criteria; Atlas correctly dismissed these 12 cases but incorrectly dismissed an additional 6 (error, 19%). Surveillance was not timely: 1-2 months elapsed between the time of HAI onset and the earliest case review. CONCLUSIONS: With ongoing training by Infection Control, Atlas successfully demonstrated a role in retrospective HAI surveillance. However, despite a major effort to comply with mandates, time lags and other design limitations rendered the data of low utility for Infection Control. States that are planning HAI-reporting programs should standardize an efficient surveillance methodology that yields data capable of guiding interventions to prevent HAI.
Authors: R Scott Evans; Rouett H Abouzelof; Caroline W Taylor; Vickie Anderson; Sharon Sumner; Sharon Soutter; Ruth Kleckner; James F Lloyd Journal: AMIA Annu Symp Proc Date: 2009-11-14
Authors: Rebekah W Moehring; Russell Staheli; Becky A Miller; Luke Francis Chen; Daniel John Sexton; Deverick John Anderson Journal: Infect Control Hosp Epidemiol Date: 2013-01-18 Impact factor: 3.254
Authors: David K Warren; Katelin B Nickel; Anna E Wallace; Daniel Mines; Victoria J Fraser; Margaret A Olsen Journal: Infect Control Hosp Epidemiol Date: 2014-10 Impact factor: 3.254
Authors: Margaret A Olsen; Kelly E Ball; Katelin B Nickel; Anna E Wallace; Victoria J Fraser Journal: Infect Control Hosp Epidemiol Date: 2016-12-15 Impact factor: 3.254
Authors: Brian T Bucher; Meng Yang; Julie Arndorfer; Cherie Frame; Jan Orton; Matthew H Samore; Kristin K Dascomb Journal: Infect Control Hosp Epidemiol Date: 2020-12-17 Impact factor: 6.520
Authors: Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee Journal: BMJ Open Date: 2015-08-27 Impact factor: 2.692