scholarly journals Validation Methodology of Healthcare-Associated Infection Device Day Denominators When Switching Electronic Medical Records

2020 ◽  
Vol 41 (S1) ◽  
pp. s428-s429
Author(s):  
Lan Luong ◽  
Michelle Simkins ◽  
Rachael Snyders ◽  
Kathleen Anne Gase ◽  
Carole Leone ◽  
...  
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Urinary Catheter ◽  
Central Line ◽  
Prediction Methods ◽  
Healthcare Associated Infection ◽  
Nursing Documentation ◽  
Validation Process ◽  
Validation Phase ◽  
Healthcare Associated

Background: From August 2017 to June 2018, 11 hospitals within a large healthcare system switched from multiple different electronic medical records (EMRs) to 1 EMR. At the time of this transition, the NHSN provided guidelines to validate healthcare-associated infection (HAI) denominators when switching from manual denominator collection to electronic denominator collection, but the NHSN did not give guidelines for validation when switching from 1 EMR to another. We aimed to build a validation process to ensure the accuracy of central-line and urinary catheter days reported to the NHSN after switching EMRs. Methods: Our validation process began with a statistical phase followed by a targeted manual validation phase. The statistical phase used 3 prediction methods (linear regression, time series analysis, and statistical process control [SPC] charts) to forecast device days after the EMR switch for units within hospitals. Models were developed using baseline data from the old EMR (January 2015 through the new EMR implementation). Using prespecified criteria for each method to determine discrepancies, we built a decision tree to identify units needing manual validation. Any unit that failed the statistical phase would need to participate in the manual validation phase, using a midnight census and direct visualization of devices. The manual validation process was composed of 14-day blocks. At the end of each block, if manual device days were within ±5% of EMR device days, they were considered validated. Manual validation would be repeated in 14-day blocks until 2 consecutive blocks passed within ±5%. Results: Overall, 157 units were evaluated for urinary catheter days and central-line days. Among them, 143 units passed the statistical validation test for urinary catheter days and 151 passed for central-line days. There was no specific pattern when comparing forecasted versus actual device days. The manual validation process for the 20 failing units (14 urinary catheter and 6 central-line units) is ongoing; preliminary results identified issues with missing nursing documentation in the EMR and with inaccurate manual counting of device days. There were no systematic discrepancies associated with the new EMR. Conclusions: We developed a novel validation process using statistical prediction methods supplemented with a targeted manual process. This process saved resources by identifying the units that need manual validation. Discrepancies were largely related to nursing documentation, which the infection prevention team addressed with additional training.Funding: NoneDisclosures: None

scholarly journals Characteristics of Healthcare-Associated Infections Contributing to Unexpected In-Hospital Deaths

2010 ◽  
Vol 31 (8) ◽  
pp. 864-866 ◽  
Author(s):  
Daniel J. Morgan ◽  
Lucia L. Lomotan ◽  
Kathleen Agnes ◽  
Linda McGrail ◽  
Mary-Claire Roghmann
Keyword(s):  
Bloodstream Infection ◽  
Medical Records ◽  
Central Line ◽  
Multidrug Resistant ◽  
Healthcare Associated Infections ◽  
Bacterial Isolates ◽  
Healthcare Associated Infection ◽  
Hospital Deaths ◽  
Healthcare Associated

We reviewed the medical records of all the patients who died in our hospital during the period from 2004 through 2008 to determine the contribution of healthcare-associated infections to mortality. Of the 179 unexpected in-hospital deaths during that period, 55 (31%) were related to 69 healthcare-associated infections. The most common healthcare-associated infection was central line-associated bloodstream infection, and the most common organisms identified were members of the Enterobacteriaceae family. Overall, 45% of bacterial isolates were multidrug resistant.

scholarly journals Reduction in the Prevalence of Healthcare-Associated Infections in U.S. Acute Care Hospitals, 2015 vs 2011

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S49-S49 ◽  
Author(s):  
Shelley S Magill ◽  
Lucy E Wilson ◽  
Deborah L Thompson ◽  
Susan M Ray ◽  
Joelle Nadle ◽  
...  
Keyword(s):  
Medical Records ◽  
Patient Characteristics ◽  
Central Line ◽  
Emerging Infections ◽  
Healthcare Associated Infection ◽  
Chi Square ◽  
Prevalence Survey ◽  
Hospital Patients ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Background A 2011 prevalence survey conducted by CDC and the Emerging Infections Program (EIP) showed that 1 in 25 hospital patients had ≥1 healthcare-associated infection (HAI). We repeated the survey in 2015 to assess changes in HAI prevalence.​ Methods In EIP sites (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN) hospitals that participated in the 2011 survey were recruited for the 2015 survey. Hospitals selected 1 day from May–September 2015 on which a random patient sample was identified from the morning census. Trained EIP staff reviewed patient medical records using comparable methods and the same National Healthcare Safety Network HAI definitions used in 2011. Proportions of patients with HAIs were compared using chi-square tests; patient characteristics were compared using chi-square or median tests (OpenEpi 3.01, SAS 9.3). Results Data were available from 143 hospitals that participated in both surveys; data from 8954 patients in the 2011 survey were compared with preliminary data from 8833 patients in the 2015 survey. Patient characteristics such as median age, days from admission to survey, and critical care location were similar. Urinary catheter prevalence was lower in 2015 (1,589/8,833, 18.0%) compared with 2011 (2,052/8,954, 22.9%, P < 0.0001), as was central line prevalence (2015: 1,539/8,833, 17.4%, vs. 2011: 1,687/8,954, 18.8%, P = 0.02). The proportion of patients with HAIs was lower in 2015 (284/8,833, 3.2%, 95% confidence interval [CI] 2.9–3.6%) than in 2011 (362/8,954, 4.0%, 95% CI 3.7–4.5%, P = 0.003). Of 309 HAIs in 2015, pneumonia (PNEU) and Clostridium difficileinfections (CDI) were most common (Figure); proportions of patients with PNEU and/or CDI were similar in 2015 (130/8833, 1.5%) and 2011 (133/8954, 1.5%, P = 0.94). A lower proportion of patients had surgical site (SSI) and/or urinary tract infections (UTI) in 2015 (77/8833, 0.9%) vs. 2011 (136/8954, 1.5%, P < 0.001). Conclusion HAI prevalence was significantly lower in 2015 compared with 2011. This is partially explained by fewer SSI and UTI, suggesting national efforts to prevent SSI, reduce catheter use and improve UTI diagnosis are succeeding. By contrast, there was no change in the prevalence of the most common HAIs in 2015, PNEU and CDI, indicating a need for increased prevention efforts in hospitals. Disclosures All authors: No reported disclosures.

The Past, Present, and Future of Healthcare-Associated Infection Prevention in Pediatrics: Catheter-Associated Bloodstream Infections

2010 ◽  
Vol 31 (S1) ◽  
pp. S27-S31 ◽  
Author(s):  
Kristina A. Bryant ◽  
Danielle M. Zerr ◽  
W. Charles Huskins ◽  
Aaron M. Milstone
Keyword(s):  
Infection Prevention ◽  
Bloodstream Infections ◽  
Central Line ◽  
Morbidity And Mortality ◽  
Prevention Strategies ◽  
Healthcare Associated Infection ◽  
Research Topics ◽  
The Past ◽  
Healthcare Associated ◽  
Current Practices

Central line–associated bloodstream infections cause morbidity and mortality in children. We explore the evidence for prevention of central line–associated bloodstream infections in children, assess current practices, and propose research topics to improve prevention strategies.

Colostrum Swabbing as an Infection Prevention Strategy: A Retrospective Study

2018 ◽  
Vol 22 (1) ◽  
pp. 3-9
Author(s):  
Sharon Sauer ◽  
Gerry Altmiller
Keyword(s):  
Retrospective Study ◽  
Critically Ill ◽  
Central Line ◽  
Practice Change ◽  
Healthcare Associated Infection ◽  
Critically Ill Neonates ◽  
Healthcare Associated ◽  
Treatment Procedures ◽  
Human Caring ◽  
Clinical Practice Change

Critically ill neonates are prone to healthcare-associated infection (HAI) due to an immature immune system and need for multiple invasive diagnostic and treatment procedures. The purpose of this retrospective study was to determine the effectiveness of oral swabbing of colostrum as an intervention to provide immunity and decrease the incidence of neonatal HAI, particularly central line–associated bloodstream infection (CLABSI). The research study was informed by specific Caritas Processes, which are part of Watson’s Theory of Human Caring. Medical record audits were conducted for infants before, during, and after a 6-month pilot period for the clinical practice change of oral swabbing with colostrum, and data indicated the practice are safe, feasible, and effective in reducing CLABSI in critically ill neonates.

Factors Affecting the Timing of a Central Line Associated Bloodstream Infection Onset in Children with Cancer

2020 ◽  
Vol 38 (1) ◽  
pp. 26-35
Author(s):  
Mina Park ◽  
Young-mi Seo ◽  
Yoon Jung Shin ◽  
Jung Woo Han ◽  
Eunhee Cho ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Multivariable Analysis ◽  
Central Line ◽  
Catheter Insertion ◽  
Children With Cancer ◽  
Factors Affecting ◽  
Pediatric Cancer Patients ◽  
The Impact

Purpose: The purpose of this study is to identify controllable treatment-environment-related factors affecting the timing of a central line-associated bloodstream infection (CLABSI) onset in children with cancer with central venous catheters (CVC). Design: This study is a secondary data analysis with the data extracted from electronic medical records in a tertiary hospital in South Korea. This study was conducted by reviewing electronic medical records of 470 pediatric cancer patients younger than the age of 18 years from 2010 to 2016. Method: The timing of a CLABSI onset was identified through the onset of CLABSI and the duration of catheterization. Cox proportional hazards regression analysis was used to estimate the impact of variables on the timing of CLABSI onset. The duration of catheterization was estimated using the Kaplan–Meier method. Finding: Multivariable analysis by Cox proportional model analysis showed that there are six independent variables affecting the timing of a CLABSI onset: length of stay in hospital, catheter insertion location, use of antibiotics on day of catheter insertion, catheter function, number of blood transfusions per 100 days, and number of blood tests per 100 days. Conclusions: The findings of this study provide a foundation for the development of EBP-based CVC guidelines to effectively reduce CLABSIs and maintain a long-term CVC without a CLABSI.

scholarly journals Surveillance of Healthcare-Associated Bloodstream and Urinary Tract Infections in a National Level Network of Indian Hospitals

2020 ◽  
Vol 41 (S1) ◽  
pp. s398-s399
Author(s):  
Purva Mathur ◽  
Paul Malpiedi ◽  
Kamini Walia ◽  
Rajesh Malhotra ◽  
Padmini Srikantiah ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Data Quality ◽  
Urinary Tract Infections ◽  
Urinary Catheter ◽  
National Level ◽  
Central Line ◽  
Infection Prevention And Control ◽  
Utilization Ratio ◽  
Tract Infections ◽  
Healthcare Associated

Background: Healthcare-associated infections (HAIs) are a major global threat to patient safety. Systematic surveillance is crucial for understanding HAI rates and antimicrobial resistance trends and to guide infection prevention and control (IPC) activities based on local epidemiology. In India, no standardized national HAI surveillance system was in place before 2017. Methods: Public and private hospitals from across 21 states in India were recruited to participate in an HAI surveillance network. Baseline assessments followed by trainings ensured that basic microbiology and IPC implementation capacity existed at all sites. Standardized surveillance protocols for central-line–associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) were modified from the NHSN for the Indian context. IPC nurses were trained to implement surveillance protocols. Data were reported through a locally developed web portal. Standardized external data quality checks were performed to assure data quality. Results: Between May 2017 and April 2019, 109 ICUs from 37 hospitals (29 public and 8 private) enrolled in the network, of which 33 were teaching hospitals with >500 beds. The network recorded 679,109 patient days, 212,081 central-line days, and 387,092 urinary catheter days. Overall, 4,301 bloodstream infection (BSI) events and 1,402 urinary tract infection (UTI) events were reported. The network CLABSI rate was 9.4 per 1,000 central-line days and the CAUTI rate was 3.4 per 1,000 catheter days. The central-line utilization ratio was 0.31 and the urinary catheter utilization ratio was 0.57. Moreover, 3,542 (73%) of 4,742 pathogens reported from BSIs and 868 (53%) of 1,644 pathogens reported from UTIs were gram negative. Also, 1,680 (26.3%) of all 6,386 pathogens reported were Enterobacteriaceae. Of 1,486 Enterobacteriaceae with complete antibiotic susceptibility testing data reported, 832 (57%) were carbapenem resistant. Of 951 Enterobacteriaceae subjected to colistin broth microdilution testing, 62 (7%) were colistin resistant. The surveillance platform identified 2 separate hospital-level HAI outbreaks; one caused by colistin-resistant K. pneumoniae and another due to Burkholderia cepacia. Phased expansion of surveillance to additional hospitals continues. Conclusions: HAI surveillance was successfully implemented across a national network of diverse hospitals using modified NHSN protocols. Surveillance data are being used to understand HAI burden and trends at the facility and national levels, to inform public policy, and to direct efforts to implement effective hospital IPC activities. This network approach to HAI surveillance may provide lessons to other countries or contexts with limited surveillance capacity.Funding: NoneDisclosures: None

scholarly journals Indirect Versus Direct Standardization Methods for Reporting Healthcare-Associated Infections: An Analysis of Central Line–Associated Bloodstream Infections in Maryland

2017 ◽  
Vol 38 (8) ◽  
pp. 989-992 ◽  
Author(s):  
Lyndsay M. O’Hara ◽  
Max Masnick ◽  
Surbhi Leekha ◽  
Sarah S. Jackson ◽  
Natalia Blanco ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Acute Care ◽  
Bloodstream Infections ◽  
Acute Care Hospitals ◽  
Central Line ◽  
Healthcare Associated Infections ◽  
Healthcare Associated Infection ◽  
Healthcare Associated ◽  
Direct Standardization ◽  
Standardization Methods

Whether healthcare-associated infection data should be presented using indirect (current CMS/CDC methodology) or direct standardization remains controversial. We applied both methods to central-line–associated bloodstream infection data from 45 acute-care hospitals in Maryland from 2012 to 2014. We found that the 2 methods generate different hospital rankings with payment implications.Infect Control Hosp Epidemiol 2017;38:989–992

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