scholarly journals The Validation of a Novel Surveillance System for Monitoring Bloodstream Infections in the Calgary Zone

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jenine R. Leal ◽  
Daniel B. Gregson ◽  
Deirdre L. Church ◽  
Elizabeth A. Henderson ◽  
Terry Ross ◽  
...  
Keyword(s):  
Medical Record ◽  
Bloodstream Infections ◽  
Medical Record Review ◽  
Administrative Databases ◽  
Surveillance Systems ◽  
Related Data ◽  
Comparative Review ◽  
Hospital Administrative ◽  
Healthcare Associated ◽  
Record Review

Background. Electronic surveillance systems (ESSs) that utilize existing information in databases are more efficient than conventional infection surveillance methods. The objective was to assess an ESS for bloodstream infections (BSIs) in the Calgary Zone for its agreement with traditional medical record review.Methods. The ESS was developed by linking related data from regional laboratory and hospital administrative databases and using set definitions for excluding contaminants and duplicate isolates. Infections were classified as hospital-acquired (HA), healthcare-associated community-onset (HCA), or community-acquired (CA). A random sample of patients from the ESS was then compared with independent medical record review.Results. Among the 308 patients selected for comparative review, the ESS identified 318 episodes of BSI of which 130 (40.9%) were CA, 98 (30.8%) were HCA, and 90 (28.3%) were HA. Medical record review identified 313 episodes of which 136 (43.4%) were CA, 97 (30.9%) were HCA, and 80 (25.6%) were HA. Episodes of BSI were concordant in 304 (97%) cases. Overall, there was 85.5% agreement between ESS and medical record review for the classification of where BSIs were acquired (kappa = 0.78, 95% Confidence Interval: 0.75–0.80).Conclusion. This novel ESS identified and classified BSIs with a high degree of accuracy. This system requires additional linkages with other related databases.

Surveillance for Healthcare-Associated Infections: Hospital-Onset Adult Sepsis Events versus Current Reportable Conditions

2021 ◽  
Author(s):  
Brady Page ◽  
Michael Klompas ◽  
Christina Chan ◽  
Michael R Filbin ◽  
Sayon Dutta ◽  
...  
Keyword(s):  
Medical Record ◽  
Pay For Performance ◽  
Bloodstream Infections ◽  
Mortality Rates ◽  
Central Line ◽  
Healthcare Associated Infections ◽  
Urinary Infections ◽  
Abdominal Infections ◽  
Healthcare Associated ◽  
Record Review

Abstract Background U.S. hospitals are required by CMS to publicly report CLABSI, CAUTI, C.diffficile, MRSA bacteremia, and selected SSIs for benchmarking and pay-for-performance programs. It is unclear, however, to what extent these conditions capture the full breadth of serious healthcare-associated infections (HAIs). CDC’s hospital-onset Adult Sepsis Event (HO-ASE) definition could facilitate more comprehensive and efficient surveillance for serious HAIs, but the overlap between HO-ASE and currently reportable HAIs is unknown. Methods We retrospectively assessed the overlap between HO-ASEs and reportable HAIs among adults hospitalized between June 2015-June 2018 in 3 hospitals. Medical record reviews were conducted for 110 randomly selected HO-ASE cases to determine clinical correlates. Results Amongst 282,441 hospitalized patients, 2,301 (0.8%) met HO-ASE criteria and 1,260 (0.4%) had reportable HAIs. In-hospital mortality rates were higher with HO-ASEs than reportable HAIs (28.6% vs 12.9%). Mortality rates for HO-ASE missed by reportable HAIs were substantially higher than mortality rates for reportable HAIs missed by HO-ASE (28.1% vs 6.3%). Reportable HAIs were only present in 334/2,301 (14.5%) HO-ASEs, most commonly CLABSIs (6.0% of HO-ASEs), C.difficile (5.0%), and CAUTI (3.0%). On medical record review, most HO-ASEs were caused by pneumonia (39.1%, of which only 34.9% were ventilator-associated), bloodstream infections (17.4%, of which only 10.5% were central line-associated), non-C.difficile intra-abdominal infections (14.5%), urinary infections (7.3%, of which 87.5% were catheter-associated), and skin/soft tissue infections (6.4%). Conclusions CDC’s HO-ASE definition detects many serious nosocomial infections missed by currently reportable HAIs. HO-ASE surveillance could increase the efficiency and clinical significance of surveillance while identifying new targets for prevention.

Development of a Novel Electronic Surveillance System for Monitoring of Bloodstream Infections

2010 ◽  
Vol 31 (7) ◽  
pp. 740-747 ◽  
Author(s):  
Jenine Leal ◽  
Daniel B. Gregson ◽  
Terry Ross ◽  
Ward W. Flemons ◽  
Deirdre L. Church ◽  
...  
Keyword(s):  
Nosocomial Infections ◽  
Chart Review ◽  
Bloodstream Infections ◽  
Medical Chart ◽  
Administrative Databases ◽  
Electronic Surveillance ◽  
Medical Chart Review ◽  
Comparative Review ◽  
Healthcare Associated ◽  
Community Onset

Background.Electronic surveillance systems (ESSs) that utilize existing information in databases are more efficient than conventional infection surveillance methods.Objective.To develop an ESS for monitoring bloodstream infections (BSIs) and assess whether data obtained from the ESS were in agreement with data obtained by traditional manual medical-record review.Methods.An ESS was developed by linking data from regional laboratory and hospital administrative databases. Definitions for excluding BSI episodes representing contamination and duplicate episodes were developed and applied. Infections were classified as nosocomial infections, healthcare-associated community-onset infections, or community-acquired infections. For a random sample of episodes, data in the ESS were compared with data obtained by independent medical chart review.Results.From the records of the 306 patients whose infections were selected for comparative review, the ESS identified 323 episodes of BSI, of which 107 (33%) were classified as healthcare-associated community-onset infections, 108 (33%) were classified as community-acquired infections, 107 (33%) were classified as nosocomial infections, and 1 (0.3%) could not be classified. In comparison, 310 episodes were identified by use of medical chart review, of which 116 (37%) were classified as healthcare-associated community-onset infections, 95 (31%) as community-acquired infections, and 99 (32%) as nosocomial infections. For 302 episodes of BSI, there was concordance between the findings of the ESS and those of traditional manual chart review. Of the additional 21 discordant episodes that were identified by use of the ESS, 17 (81%) were classified as representing isolation of skin contaminants, by use of chart review. Of the additional 8 discordant episodes further identified by use of chart review, most were classified as repeat or polymicrobial episodes of disease. There was an overall 85% agreement between the findings of the ESS and those of chart review (K = 0.78; standard error, K = 0.04) for classification according to location of acquisition.Conclusion.Our novel ESS allows episodes of BSI to be identified and classified with a high degree of accuracy. This system requires validation in other cohorts and settings.

Electronic Surveillance for Infectious Disease Trend Analysis following a Quality Improvement Intervention

2012 ◽  
Vol 33 (8) ◽  
pp. 790-795 ◽  
Author(s):  
Kari E. Peterson ◽  
Donna M. Hacek ◽  
Ari Robicsek ◽  
Richard B. Thomson ◽  
Lance R. Peterson
Keyword(s):  
Medical Record ◽  
Medical Record Review ◽  
Incidence Density ◽  
Quality Improvement Intervention ◽  
Annual Data ◽  
Electronic Surveillance ◽  
Data Set ◽  
Healthcare Associated ◽  
Record Review ◽  
The Impact

Objective.Interventions for reducing methicillin-resistant Staphylococcus aureus (MRSA) healthcare-associated disease require outcome assessment; this is typically done by manual chart review to determine infection, which can be labor intensive. The purpose of this study was to validate electronic tools for MRSA healthcare-associated infection (HAI) trending that can replace manual medical record review.Design and Setting.This was an observational study comparing manual medical record review with 3 electronic methods: raw culture data from the laboratory information system (LIS) in use by our healthcare organization, LIS data combined with admission-discharge-transfer (ADT) data to determine which cultures were healthcare associated (LIS + ADT), and the CareFusion MedMined Nosocomial Infection Marker (NIM). Each method was used for the same 7-year period from August 2003 through July 2010.Patients.The data set was from a 3-hospital organization covering 342,492 admissions.Results.Correlation coefficients for raw LIS, LIS + ADT, and NIM were 0.976, 0.957, and 0.953, respectively, when assessed on an annual basis. Quarterly performance for disease trending was also good, with R2 values exceeding 0.7 for all methods.Conclusions.The electronic tools accurately identified trends in MRSA HAI incidence density when all infections were combined as quarterly or annual data; the performance is excellent when annual assessment is done. These electronic surveillance systems can significantly reduce (93% [in-house-developed program] to more than 99.9999% [commercially available systems]) the personnel resources needed to monitor the impact of a disease control program.

scholarly journals Validation of ICD-10-CM codes for injuries complicating pregnancy, childbirth and the puerperium: a medical record review

2021 ◽  
Vol 27 (Suppl 1) ◽  
pp. i9-i12
Author(s):  
Anna Hansen ◽  
Dana Quesinberry ◽  
Peter Akpunonu ◽  
Julia Martin ◽  
Svetla Slavova
Keyword(s):  
Emergency Department ◽  
Medical Record ◽  
International Classification Of Diseases ◽  
Medical Record Review ◽  
Full Sample ◽  
Emergency Department Data ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Record Review

IntroductionThe purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data.MethodsA medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP.ResultsThe estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%).DiscussionThe O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.

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