Incidence rates of hospital-acquired urinary tract and bloodstream infections generated by automated compilation of electronically available healthcare data

Redder, Jacob Dvinge; Leth, Rita Andersen; Frimodt‐Møller, Niels

doi:10.1016/j.jhin.2015.05.011

Cited by 15 publications

(12 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We reported an overall HABSI rate of 5.59 HABSI cases per 10,000 patient days, similar to 6.0 per 10,000 patient days reported by the only recent high-coverage (24 hospitals), multicenter study in Queensland, Australia during a period overlapping ours 1 . A smaller study in Denmark reported a rate of 6.4 per 10,000 patient days and another in the United States reported a range between 11.2 and 6.7 per 10,000 patient days 2 3 …”

Section: Discussionsupporting

confidence: 76%

“…Some exhibited decreases, 3,20 others increases, 21 and some no consistent trend. 2,22,23 It is difficult to compare our reported temporal trends because (1) time periods did not overlap, 20,22,23 (2) studied hospitals had characteristics different to ours, 2,3 or (3) denominators used were population based, not hospital based. 21,22 The BACTOT data collection procedure facilitated our analysis of HABSI cases and rates by infection source.…”

Section: Discussionmentioning

confidence: 85%

“…1 A smaller study in Denmark reported a rate of 6.4 per 10,000 patient days and another in the United States reported a range between 11.2 and 6.7 per 10,000 patient days. 2,3 The HABSI rates were consistently higher in teaching hospitals and often higher in nonteaching hospitals with ICUs compared to nonteaching hospitals without ICUs. It is common for HAI rates to be higher in teaching hospitals because they often receive sicker patients given their mission to provide specialized care for severely ill patients who are more vulnerable to HABSI.…”

Section: Discussionmentioning

confidence: 97%

See 2 more Smart Citations

A ten-year review of healthcare-associated bloodstream infections from forty hospitals in Québec, Canada

Fakih

Fortin

Smith

et al. 2018

Infect. Control Hosp. Epidemiol.

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 76%

Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 97%

See 1 more Smart Citation

A ten-year review of healthcare-associated bloodstream infections from forty hospitals in Québec, Canada

Fakih

Fortin

Smith

et al. 2018

Infect. Control Hosp. Epidemiol.

View full text Add to dashboard Cite

show abstract

“… 17 Another research demonstrated that the monthly incidence rates varied between 4.14 and 6.61 per 1000 bed-days for UTI and between 0.09 and 1.25 per 1000 bed-days for BSI. 18 This indicated the higher incidence of nosocomial infection in our survey compared to other studies. This difference is may be because of this fact that the participants in our survey were trauma patients who are more prone to infection due to fractures or open wounds than non-traumatic ones.…”

Section: Discussionsupporting

confidence: 44%

Risk factors of mortality in nosocomial infected traumatic patients in a trauma referral center in south of Iran

Yadollahi

Kashkooe

Feyzi

et al. 2018

Chinese Journal of Traumatology

View full text Add to dashboard Cite

PurposeTrauma-related injuries are the leading cause of death worldwide. Some risk factors make traumatic patients susceptible to infection. Furthermore, some mortality risk factors, including length of hospitalization and increasing age, were detected in non-traumatic infected patients. This study aimed to assess mortality risk factors among nosocomial infected traumatic patients in Rajaee trauma center, Shiraz, Iran.MethodsThis prospective cohort study was conducted during a period of 2 years since April 2015 to March 2017 in Rajaee hospital, which is the center of emergency medical services for traumatic injuries in Shiraz, Iran. Centers for Disease Control and Prevention/National Healthcare Safety Network surveillance system criteria were applied to define 5 types of nosocomial infections. The variables analyzed as the risk factors of infection and mortality included sex, age, mechanism of injury, site of injury, injury severity score (ISS), surgical intervention, length of hospitalization, intensive care unit (ICU) admission, and type of pathogen. Then, the incidence of nosocomial infection and also risk factors of mortality in traumatic patients were evaluated. All data analyses were performed using the statistical package for social sciences, version 15 (SPSS Inc., Chicago) and p ≤ 0.05 is considered to be statistically significant.ResultsThe incidence of nosocomial infection was 7.2% (p < 0.001). Pneumonia was the most common type of infection detected in our study. Infection led to a 7.8-fold increase in mortality of the traumatic patients (p < 0.001). Admission in intensive care units and old age were the main risk factors of mortality in infected traumatic patients. Old age, gunshot and motor vehicle accidents, trauma to extremities and abdomen, higher injury severity score, and prolonged hospitalization, made the traumatic patients more susceptible to infection.ConclusionThe really high incidence of nosocomial infection in traumatic patients in Iran depends on some risk factors that should be considered. Also infection increases the mortality rate in the traumatic patients, which could be reduced by eliminating its risk factors.

show abstract

“…18 Other electronic surveillance systems are also using a 48-hour cutoff. 6,9,[22][23][24] The number of (positive) blood cultures was shown to decrease soon after admission (day 1) and to increase from day 4 onward. 12 This finding may also suggest that 48 hours is a useful cutoff.…”

Section: Discussionmentioning

confidence: 99%

National Automated Surveillance of Hospital-Acquired Bacteremia in Denmark Using a Computer Algorithm

Gubbels

Nielsen

Voldstedlund

et al. 2017

Infect. Control Hosp. Epidemiol.

View full text Add to dashboard Cite

BACKGROUND In 2015, Denmark launched an automated surveillance system for hospital-acquired infections, the Hospital-Acquired Infections Database (HAIBA). OBJECTIVE To describe the algorithm used in HAIBA, to determine its concordance with point prevalence surveys (PPSs), and to present trends for hospital-acquired bacteremia SETTING Private and public hospitals in Denmark METHODS A hospital-acquired bacteremia case was defined as at least 1 positive blood culture with at least 1 pathogen (bacterium or fungus) taken between 48 hours after admission and 48 hours after discharge, using the Danish Microbiology Database and the Danish National Patient Registry. PPSs performed in 2012 and 2013 were used for comparison. RESULTS National trends showed an increase in HA bacteremia cases between 2010 and 2014. Incidence was higher for men than women (9.6 vs 5.4 per 10,000 risk days) and was highest for those aged 61-80 years (9.5 per 10,000 risk days). The median daily prevalence was 3.1% (range, 2.1%-4.7%). Regional incidence varied from 6.1 to 8.1 per 10,000 risk days. The microorganisms identified were typical for HA bacteremia. Comparison of HAIBA with PPS showed a sensitivity of 36% and a specificity of 99%. HAIBA was less sensitive for patients in hematology departments and intensive care units. Excluding these departments improved the sensitivity of HAIBA to 44%. CONCLUSIONS Although the estimated sensitivity of HAIBA compared with PPS is low, a PPS is not a gold standard. Given the many advantages of automated surveillance, HAIBA allows monitoring of HA bacteremia across the healthcare system, supports prioritizing preventive measures, and holds promise for evaluating interventions. Infect Control Hosp Epidemiol 2017;38:559-566.

show abstract

Incidence rates of hospital-acquired urinary tract and bloodstream infections generated by automated compilation of electronically available healthcare data

Cited by 15 publications

References 21 publications

A ten-year review of healthcare-associated bloodstream infections from forty hospitals in Québec, Canada

A ten-year review of healthcare-associated bloodstream infections from forty hospitals in Québec, Canada

Risk factors of mortality in nosocomial infected traumatic patients in a trauma referral center in south of Iran

National Automated Surveillance of Hospital-Acquired Bacteremia in Denmark Using a Computer Algorithm

Contact Info

Product

Resources

About