Evaluation of an Algorithm for Electronic Surveillance of Hospital-Acquired Infections Yielding Serial Weekly Point Prevalence Scores

2014 ◽  
Vol 35 (7) ◽  
pp. 888-890 ◽  
Author(s):  
Roel H. R. A. Streefkerk ◽  
Gerard J. J. M. Borsboom ◽  
Conrad P. van der Hoeven ◽  
Margreet C. Vos ◽  
Roel P. Verkooijen ◽  
...  
Keyword(s):  
Medical Center ◽  
Cost Effective ◽  
Point Prevalence ◽  
Software System ◽  
Hospital Acquired Infections ◽  
Effective Manner ◽  
Highly Sensitive ◽  
Integrated Software ◽  
Hospital Acquired ◽  
Electronic Hospital

Surveillance of hospital-acquired infections can be approximated by repeated surveys that are performed in a standardized, cost-effective manner. We developed an integrated software system for serial electronic hospital-wide point prevalence surveys using algorithms that proved highly sensitive and specific over a 5-year period in a large university medical center.Infect Control Hosp Epidemiol 2014;35(7):888–890

scholarly journals The Prevalence and Estimates of the Cumulative Incidence of Hospital-Acquired Infections Among Patients Admitted to Auckland District Health Board Hospitals in New Zealand

2003 ◽  
Vol 24 (1) ◽  
pp. 56-61 ◽  
Author(s):  
Nicholas Graves ◽  
Tanya M. Nicholls ◽  
Christopher G. S. Wong ◽  
Arthur J. Morris
Keyword(s):  
New Zealand ◽  
Cumulative Incidence ◽  
Cost Effective ◽  
Point Prevalence ◽  
Health Board ◽  
District Health ◽  
Hospital Acquired Infection ◽  
Hospital Acquired Infections ◽  
Incidence Studies ◽  
Hospital Acquired

AbstractObjectives:To report the pooled results of seven prevalence surveys of hospital-acquired infections conducted between November 1996 and November 1999, and to use the data to predict the cumulative incidence of hospital-acquired infections in the same patient group.Design:The summary and modeling of data gathered from the routine surveillance of the point prevalence of hospital-acquired infections.Setting:Auckland District Health Board Hospitals (Auckland DHBH), the largest publicly funded hospital group in New Zealand supplying secondary and tertiary services.Patients:All inpatients.Method:Point-prevalence surveys were conducted including all patients in Auckland DHBH. Standard definitions of hospital-acquired infection were used. The data from the seven surveys were pooled and used in a modeling exercise to predict the cumulative incidence of hospital-acquired infection. An existing method for the conversion of prevalence to cumulative incidence was applied. Results are presented for all patients and stratified by clinical service and site of hospital-acquired infection.Results:The underlying patterns of hospital-acquired infection by site and service were stable during the seven time periods. The prevalence rate for all patients was 9.5%, with 553 patients identified with one or more hospital-acquired infections from a population of 5,819. The predicted cumulative incidence for all patients was 6.33% (95% confidence interval, 6.20% to 6.46%).Conclusions:The prevalence and the predicted cumulative incidence are similar to rates reported in the international literature. The validity of the predicted cumulative incidence derived here is not known. If it were accurate, then the application of this method would represent a cost-effective alternative to incidence studies.

scholarly journals Modeling the Costs of Hospital-Acquired Infections in New Zealand

2003 ◽  
Vol 24 (3) ◽  
pp. 214-223 ◽  
Author(s):  
Nicholas Graves ◽  
Tanya M. Nicholls ◽  
Arthur J. Morris
Keyword(s):  
New Zealand ◽  
Economic Cost ◽  
Cost Effective ◽  
Sensitivity Analyses ◽  
Primary Data ◽  
Health Board ◽  
District Health ◽  
Hospital Acquired Infections ◽  
Input Variables ◽  
Hospital Acquired

AbstractObjective:To model the economic costs of hospital-acquired infections (HAIs) in New Zealand, by type of HAI.Design:Monte Carlo simulation model.Setting:Auckland District Health Board Hospitals (DHBH), the largest publicly funded hospital group in New Zealand supplying secondary and tertiary services. Costs are also estimated for predicted HAIs in admissions to all hospitals in New Zealand.Patients:All adults admitted to general medical and general surgical services.Method:Data on the number of cases of HAI were combined with data on the estimated prolongation of hospital stay due to HAI to produce an estimate of the number of bed days attributable to HAI. A cost per bed day value was applied to provide an estimate of the economic cost. Costs were estimated for predicted infections of the urinary tract, surgical wounds, the lower and upper respiratory tracts, the bloodstream, and other sites, and for cases of multiple sites of infection. Sensitivity analyses were undertaken for input variables.Results:The estimated costs of predicted HAIs in medical and surgical admissions to Auckland DHBH were $10.12 (US $4.56) million and $8.64 (US $3.90) million, respectively. They were $51.35 (US $23.16) million and $85.26 (US $38.47) million, respectively, for medical and surgical admissions to all hospitals in New Zealand.Conclusions:The method used produces results that are less precise than those of a specifically designed study using primary data collection, but has been applied at a lower cost. The estimated cost of HAIs is substantial, but only a proportion of infections can be avoided. Further work is required to identify the most cost-effective strategies for the prevention of HAI.

scholarly journals Highly sensitive detection of Staphylococcus aureus by a THz metamaterial biosensor based on gold nanoparticles and rolling circle amplification

RSC Advances ◽  
2020 ◽  
Vol 10 (45) ◽  
pp. 26824-26833 ◽  
Author(s):  
Ke Yang ◽  
Wenjing Yu ◽  
Guorong Huang ◽  
Jie Zhou ◽  
Xiang Yang ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Rolling Circle Amplification ◽  
Rolling Circle ◽  
Hospital Acquired Infections ◽  
Food Borne ◽  
Highly Sensitive ◽  
Food Borne Illness ◽  
Highly Sensitive Detection ◽  
Hospital Acquired ◽  
The Impact

A highly sensitive method for detecting Staphylococcus aureus (S. aureus) is urgently needed to reduce the impact and spread of hospital-acquired infections and food-borne illness.

Nosocomial Infections in a New Medical Center, Turkey

2000 ◽  
Vol 21 (8) ◽  
pp. 534-536 ◽  
Author(s):  
Bengül Durmaz ◽  
Riza Durmaz ◽  
Bariş Otlu ◽  
Emine Sönmez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nosocomial Infection ◽  
General Surgery ◽  
Nosocomial Infections ◽  
Medical Center ◽  
The Other ◽  
Hospital Acquired Infections ◽  
Bed Capacity ◽  
Hospital Acquired

Nosocomial infection was found in 255 (2.5%) of 10,164 inpatients in a new medical center with a 310-bed capacity. The infection rate was 12.5% in the intensive care unit, 9.5% in neurology, 5.5% in general surgery, and 4.0% in orthopedics. Rates in the other services were lower. Hospital-acquired infections in our medical center frequently involved multiply resistant Enterobacteriaceae and staphylococci.

Internal and External Validation of a Computer-Assisted Surveillance System for Hospital-Acquired Infections in a 754-Bed General Hospital in the Netherlands

2016 ◽  
Vol 37 (11) ◽  
pp. 1355-1360 ◽  
Author(s):  
H. Roel A. Streefkerk ◽  
Ivar O. Lede ◽  
John L. V. Eriksson ◽  
Marije G. Meijling ◽  
Conrad P. van der Hoeven ◽  
...  
Keyword(s):  
The Netherlands ◽  
External Validation ◽  
Point Prevalence ◽  
Computer Assisted ◽  
Prevalence Survey ◽  
Internal Validation ◽  
Hospital Acquired Infections ◽  
Point Prevalence Survey ◽  
A Prospective Study ◽  
Hospital Acquired

OBJECTIVETo evaluate a computer-assisted point-prevalence survey (CAPPS) for hospital-acquired infections (HAIs).DESIGNValidation cohort.SETTINGA 754-bed teaching hospital in the Netherlands.METHODSFor the internal validation of a CAPPS for HAIs, 2,526 patients were included. All patient records were retrospectively reviewed in depth by 2 infection control practitioners (ICPs) to determine which patients had suffered an HAI. Preventie van Ziekenhuisinfecties door Surveillance (PREZIES) criteria were used. Following this internal validation, 13 consecutive CAPPS were performed in a prospective study from January to March 2013 to determine weekly, monthly, and quarterly HAI point prevalence. Finally, a CAPPS was externally validated by PREZIES (Rijksinstituut voor Volksgezondheid en Milieu [RIVM], Bilthoven, Netherlands). In all evaluations, discrepancies were resolved by consensus.RESULTSIn our series of CAPPS, 83% of the patients were automatically excluded from detailed review by the ICP. The sensitivity of the method was 91%. The time spent per hospital-wide CAPPS was ~3 hours. External validation showed a negative predictive value of 99.1% for CAPPS.CONCLUSIONSCAPPS proved to be a sensitive, accurate, and efficient method to determine serial weekly point-prevalence HAI rates in our hospital.Infect Control Hosp Epidemiol2016;1–6

scholarly journals Detection of carbapenemase production in Enterobacteriaceae and Pseudomonas species by carbapenemase Nordmann–Poirel test

2019 ◽  
Vol 11 (02) ◽  
pp. 107-110 ◽  
Author(s):  
Morubagal R. Rao ◽  
Pooja Chandrashaker ◽  
Rashmi P. Mahale ◽  
Sowmya G. Shivappa ◽  
Ranjitha S. Gowda ◽  
...  
Keyword(s):  
Cost Effective ◽  
Multidrug Resistant ◽  
Cross Resistance ◽  
Gram Negative Bacteria ◽  
Beta Lactam ◽  
Hospital Acquired Infections ◽  
Beta Lactam Antibiotics ◽  
Pseudomonas Species ◽  
Life Threatening ◽  
Hospital Acquired

Abstract PURPOSE: Multidrug-resistant organisms causing community-acquired and hospital-acquired infections are increasing at a dangerous rate. Carbapenemase-producing Enterobacteriaceae and Pseudomonas species are an important source of concern since these organisms are not only resistant to beta-lactam antibiotics but also show cross-resistance to other groups of antibiotics. In the present study, rapid detection of these carbapenemase-producing Enterobacteriaceae and Pseudomonas species by carbapenemase Nordmann–Poirel (Carba NP) test was evaluated by comparing with modified Hodge test (MHT). MATERIALS AND METHODS: Imipenem-resistant Enterobacteriaceae and Pseudomonas species isolated from various samples such as pus, blood, sputum, urine, and endotracheal aspirates were processed for carbapenemase detection by MHT and Carba NP test. Kappa analysis was done to evaluate the percentage agreement between the two tests. RESULTS: Seventy imipenem-resistant Enterobacteriaceae and Pseudomonas isolates were analyzed in the present study for carbapenemase production. 63.41% ofEnterobacteriaceae and 34.48% of Pseudomonas species were carbapenemase producers considering both the methods. By MHT, 36 (51.42%) isolates and, by Carba NP test, 35 (50%) isolates were positive for carbapenemase production out of the 70 isolates. CONCLUSION: Carba NP test when compared to MHT is a simple, rapid, cost-effective biochemical test which can be used in all laboratories in the identification of life-threatening carbapenemase-producing Gram-negative bacteria.

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