Electronic surveillance systems in infection prevention: organizational support, program characteristics, and user satisfaction.
BACKGROUND
The use of electronic surveillance systems (ESSs) is gradually increasing in infection prevention and control programs. Little is known about the characteristics of hospitals that have a ESS, user satisfaction with ESSs, and organizational support for implementation of ESSs.


METHODS
A total of 350 acute care hospitals in California were invited to participate in a Web-based survey; 207 hospitals (59%) agreed to participate. The survey included a description of infection prevention and control department staff, where and how they spent their time, a measure of organizational support for infection prevention and control, and reported experience with ESSs.


RESULTS
Only 23% (44/192) of responding infection prevention and control departments had an ESS. No statistically significant difference was seen in how and where infection preventionists (IPs) who used an ESS and those who did not spend their time. The 2 significant predictors of whether an ESS was present were score on the Organizational Support Scale (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.02-1.18) and hospital bed size (OR, 1.004; 95% CI, 1.00-1.007). Organizational support also was positively correlated with IP satisfaction with the ESS, as measured on the Computer Usability Scale (P = .02).


CONCLUSIONS
Despite evidence that such systems may improve efficiency of data collection and potentially improve patient outcomes, ESSs remain relatively uncommon in infection prevention and control programs. Based on our findings, organizational support appears to be a major predictor of the presence, use, and satisfaction with ESSs in infection prevention and control programs.
Grota
Patti G
PG
University of Texas Health Science Center, San Antonio, TX, USA.
Stone
Patricia W
PW
Jordan
Sarah
S
Pogorzelska
Monika
M
Larson
Elaine
E
D002140:California; D003428:Cross Infection / Q000517:prevention & control*; D003430:Cross-Sectional Studies; D001330:Electronic Data Processing / Q000379:methods* / Q000458:organization & administration*; D006291:Health Policy; D006761:Hospitals; D006801:Humans; D017053:Infection Control / Q000379:methods* / Q000458:organization & administration*; D016134:Organizational Policy; D018571:Sentinel Surveillance