scholarly journals Effect of Testing Methods on Incidence of Clostridioides difficle Infection Rates in Veterans’ Affairs Medical Centers

2020 ◽  
Vol 41 (S1) ◽  
pp. s201-s202
Author(s):  
Brian McCauley ◽  
Loretta Simbartl ◽  
Martin Evans ◽  
Shantini Gamage ◽  
Gary Roselle

Background: Healthcare-associated Clostridioides difficile infection (CDI) rates have been decreasing in Department of Veterans’ Affairs (VA) acute-care medical facilities since the CDI Prevention Initiative began in 2012. Assessment of rates, however, is complicated by changing surveillance definitions and diagnostics. Over the past 2 years, the VA has adopted the less stringent surveillance definitions of the NHSN for hospital-onset healthcare-facility–associated (HO-HCFA) CDI (onset on or after day 4 of hospitalization) than was originally used (>48 hours after admission). New diagnostic testing methods have been developed, but variabilities in the reliability of testing methods for the diagnosis of CDI in patients have been detected, thus not yielding a gold standard test. As a result, some facilities use nucleic acid amplification testing (NAAT) for CDI diagnosis and reporting whereas others use a 2-step process of NAAT followed by a toxin enzyme immunoassay (EIA) test, with the latter determining positivity for reporting (as allowed by the NHSN). We reviewed CDI rates at facilities performing one-step and two-step testing to determine whether the testing protocol may be influencing CDI rate reporting. Methods: Data on HO-HCFA CDI rates entered monthly in fiscal year (FY) 2018 (October 2017 through September 2018) and FY2019 (October 2018 through September 2019) by each acute-care facility into the VA Inpatient Evaluation Center (IPEC) database were analyzed. HO-HCFA CDI rates in facilities that used NAAT in FY2018 and switched to in the 2-step NAAT plus EIA in FY2019 were compared to rates in facilities used NAAT alone for both FY2018 and FY2019. Statistical regression analysis was performed. Results: From FY 2018 through FY2019, 70 facilities performed NAAT for the entire 2-year period. Overall, 7 facilities performed NAAT for FY 2018 and then switched to NAAT + EIA in FY2019. We detected no significant decrease in HO-HCFA CDI rates in FY 2018 when both groups were using NAAT (P = 0.21) (Fig. 1). However, in FY2019, there was a significant decrease in HO-HCFA CDI rates for those facilities that performed the 2-step testing versus those facilities that continued to use strictly NAAT alone (P < .0001). Conclusions: HO-HCFA CDI rates decreased for those VA acute-care facilities that switched to 2-step testing, and this finding highlights implications for assessing rates over time. Given the variable reliability of the toxin test, individual patient consideration for therapeutic decisions is reasonable.Funding: NoneDisclosures: None

2020 ◽  
Vol 41 (S1) ◽  
pp. s189-s191
Author(s):  
Dipesh Solanky ◽  
Ian Drobish ◽  
Derek Juang ◽  
Scott Johns ◽  
Sanjay Mehta ◽  
...  

Background:Clostridioides difficile infection (CDI) accounts for >500,000 community-, nursing-, and hospital-acquired infections (HAIs), as well as 15,000–30,000 deaths, and =$4.8 billion in the United States annually. C. difficile toxin B gene nucleic acid amplification testing (NAAT) cannot distinguish between active CDI and colonization, particularly in the setting of laxative use or enteral feeding. Lack of judicious testing can result in the incorrect diagnosis of CDI, unnecessary CDI treatment, increased costs, and falsely augmented HAI rates. Like many healthcare facilities, the VA San Diego Healthcare System (VASDHS) solely utilizes C. difficile NAAT for CDI diagnosis. The aim of this study was to implement and evaluate a facility-wide initiative at the VASDHS to reduce healthcare onset, healthcare facility associated CDI (HO-HCFA CDI), including the use of a test ordering algorithm. Methods: From fiscal year (FY) 2015–2018, various measures were implemented including a hand hygiene initiative, reduction in fluoroquinolone usage, prompt isolation of patients with CDI, thorough terminal cleaning of rooms, and, lastly, a test-ordering algorithm starting FY2018. A retrospective study was performed to assess VASDHS HO-HCFA CDI case incidence, risk factors for infection, laxative or enteral feeding use at the time of testing, and CDI treatment. Results: Patient demographic data, medical history, CDI history, laxative use, treatment, and cost of CDI treatment were reviewed. From 2015 to 2018, 127 cases of HO-HCFA CDI were identified. The total number of HO-HCFA CDI cases and medication cost for CDI treatment were dramatically reduced from 2017 to 2018 following implementation of the test-ordering algorithm (Table 1, Fig. 1). This trend corresponded to a significant reduction in median HO-HCFA CDI cases per month (P = .02), medication cost of CDI treatment (P = .02), and proton pump inhibitor (PPI) use at the time of testing (P = .01). The number of positive HO-HCFA CDI cases associated with laxative use or escalation at the time of CDI testing (accounting for those on chronic laxatives) also decreased across the study period—most dramatically from 2015 vs 2016 (20 vs 14) and 2017 vs 2018 (11 vs 4) (Table 1). Conclusions: At the VASDHS, diagnostic stewardship of C. difficile NAAT with the use of a test-ordering algorithm significantly reduced HO-HCFA CDI incidence and treatment cost. This trend also corresponded with significantly less PPI use at the time of testing and reduced detection of colonization among patients with laxative-induced diarrhea. Diagnostic stewardship may serve as an effective tool to correctly diagnose and treat HO-HCFA CDI, while significantly reducing treatment costs.Funding: NoneDisclosures: None


2020 ◽  
Vol 42 (1) ◽  
pp. 51-56
Author(s):  
Dipesh Solanky ◽  
Derek K. Juang ◽  
Scott T. Johns ◽  
Ian C. Drobish ◽  
Sanjay R. Mehta ◽  
...  

AbstractObjective:Lack of judicious testing can result in the incorrect diagnosis of Clostridioides difficile infection (CDI), unnecessary CDI treatment, increased costs and falsely augmented hospital-acquired infection (HAI) rates. We evaluated facility-wide interventions used at the VA San Diego Healthcare System (VASDHS) to reduce healthcare-onset, healthcare-facility–associated CDI (HO-HCFA CDI), including the use of diagnostic stewardship with test ordering criteria.Design:We conducted a retrospective study to assess the effectiveness of measures implemented to reduce the rate of HO-HCFA CDI at the VASDHS from fiscal year (FY)2015 to FY2018.Interventions:Measures executed in a stepwise fashion included a hand hygiene initiative, prompt isolation of CDI patients, enhanced terminal room cleaning, reduction of fluoroquinolone and proton-pump inhibitor use, laboratory rejection of solid stool samples, and lastly diagnostic stewardship with C. difficile toxin B gene nucleic acid amplification testing (NAAT) criteria instituted in FY2018.Results:From FY2015 to FY2018, 127 cases of HO-HCFA CDI were identified. All rate-reducing initiatives resulted in decreased HO-HCFA cases (from 44 to 13; P ≤ .05). However, the number of HO-HCFA cases (34 to 13; P ≤ .05), potential false-positive testing associated with colonization and laxative use (from 11 to 4), hospital days (from 596 to 332), CDI-related hospitalization costs (from $2,780,681 to $1,534,190) and treatment cost (from $7,158 vs $1,476) decreased substantially following the introduction of diagnostic stewardship with test criteria from FY2017 to FY2018.Conclusions:Initiatives to decrease risk for CDI and diagnostic stewardship of C. difficile stool NAAT significantly reduced HO-HCFA CDI rates, detection of potential false-positives associated with laxative use, and lowered healthcare costs. Diagnostic stewardship itself had the most dramatic impact on outcomes observed and served as an effective tool in reducing HO-HCFA CDI rates.


2011 ◽  
Vol 32 (5) ◽  
pp. 513-515 ◽  
Author(s):  
Dubert M. Guerrero ◽  
Michelle M. Nerandzic ◽  
Lucy A. Jury ◽  
Shelley Chang ◽  
Robin L. Jump ◽  
...  

In a Veterans Affairs medical center, 39% of healthcare facility–onset, healthcare facility-associated Clostridium difficile infections had their onset in the affiliated long-term care facility (LTCF). Eighty-five percent of LTCF-onset patients had been transferred from the hospital within the past month. Delays in diagnosis and treatment were common for LTCF-onset patients.


2017 ◽  
Vol 45 (3) ◽  
pp. 306-307 ◽  
Author(s):  
Ken Koon Wong ◽  
Byungwoo Choi ◽  
Thomas G. Fraser ◽  
Curtis J. Donskey ◽  
Abhishek Deshpande

Author(s):  
Brian P. McCauley ◽  
Martin E. Evans ◽  
Loretta A. Simbartl ◽  
Shantini D. Gamage ◽  
Stephen M. Kralovic ◽  
...  

Abstract Clostridioidesdifficile infection rates from 7 facilities that used nucleic acid amplification testing (NAAT) alone for 12 months then switched to NAAT plus toxin enzyme immunoassay (EIA) and reported the latter result for 12 months were compared to 70 facilities that used NAAT alone for all 24 months. There was no significant difference in rates between facility groups over the first 12 months (P = .21, linear regression), but we detected a decrease in rates for the facilities that changed to NAAT+EIA (P < .0001).


2016 ◽  
Vol 37 (6) ◽  
pp. 720-722 ◽  
Author(s):  
Martin E. Evans ◽  
Stephen M. Kralovic ◽  
Loretta A. Simbartl ◽  
Rajiv Jain ◽  
Gary A. Roselle

Rates of clinically confirmed hospital-onset healthcare facility-associated Clostridium difficile infections from July 1, 2012, through March 31, 2015, in 127 acute care Veterans Affairs facilities were evaluated. Quarterly pooled national standardized infection ratios decreased 15% from baseline by the final quarter of the analysis period (P=.01, linear regression).Infect Control Hosp Epidemiol 2016;37:720–722


2020 ◽  
Vol 32 (4) ◽  
pp. 523-532 ◽  
Author(s):  
Praveen V. Mummaneni ◽  
Mohamad Bydon ◽  
John Knightly ◽  
Mohammed Ali Alvi ◽  
Anshit Goyal ◽  
...  

OBJECTIVEDischarge to an inpatient rehabilitation facility or another acute-care facility not only constitutes a postoperative challenge for patients and their care team but also contributes significantly to healthcare costs. In this era of changing dynamics of healthcare payment models in which cost overruns are being increasingly shifted to surgeons and hospitals, it is important to better understand outcomes such as discharge disposition. In the current article, the authors sought to develop a predictive model for factors associated with nonroutine discharge after surgery for grade I spondylolisthesis.METHODSThe authors queried the Quality Outcomes Database for patients with grade I lumbar degenerative spondylolisthesis who underwent a surgical intervention between July 2014 and June 2016. Only those patients enrolled in a multisite study investigating the impact of fusion on clinical and patient-reported outcomes among patients with grade I spondylolisthesis were evaluated. Nonroutine discharge was defined as those who were discharged to a postacute or nonacute-care setting in the same hospital or transferred to another acute-care facility.RESULTSOf the 608 patients eligible for inclusion, 9.4% (n = 57) had a nonroutine discharge (8.7%, n = 53 discharged to inpatient postacute or nonacute care in the same hospital and 0.7%, n = 4 transferred to another acute-care facility). Compared to patients who were discharged to home, patients who had a nonroutine discharge were more likely to have diabetes (26.3%, n = 15 vs 15.7%, n = 86, p = 0.039); impaired ambulation (26.3%, n = 15 vs 10.2%, n = 56, p < 0.001); higher Oswestry Disability Index at baseline (51 [IQR 42–62.12] vs 46 [IQR 34.4–58], p = 0.014); lower EuroQol-5D scores (0.437 [IQR 0.308–0.708] vs 0.597 [IQR 0.358–0.708], p = 0.010); higher American Society of Anesthesiologists score (3 or 4: 63.2%, n = 36 vs 36.7%, n = 201, p = 0.002); and longer length of stay (4 days [IQR 3–5] vs 2 days [IQR 1–3], p < 0.001); and were more likely to suffer a complication (14%, n = 8 vs 5.6%, n = 31, p = 0.014). On multivariable logistic regression, factors found to be independently associated with higher odds of nonroutine discharge included older age (interquartile OR 9.14, 95% CI 3.79–22.1, p < 0.001), higher body mass index (interquartile OR 2.04, 95% CI 1.31–3.25, p < 0.001), presence of depression (OR 4.28, 95% CI 1.96–9.35, p < 0.001), fusion surgery compared with decompression alone (OR 1.3, 95% CI 1.1–1.6, p < 0.001), and any complication (OR 3.9, 95% CI 1.4–10.9, p < 0.001).CONCLUSIONSIn this multisite study of a defined cohort of patients undergoing surgery for grade I spondylolisthesis, factors associated with higher odds of nonroutine discharge included older age, higher body mass index, presence of depression, and occurrence of any complication.


2020 ◽  
Vol 41 (S1) ◽  
pp. s116-s118
Author(s):  
Qunna Li ◽  
Andrea Benin ◽  
Alice Guh ◽  
Margaret A. Dudeck ◽  
Katherine Allen-Bridson ◽  
...  

Background: The NHSN has used positive laboratory tests for surveillance of Clostridioides difficile infection (CDI) LabID events since 2009. Typically, CDIs are detected using enzyme immunoassays (EIAs), nucleic acid amplification tests (NAATs), or various test combinations. The NHSN uses a risk-adjusted, standardized infection ratio (SIR) to assess healthcare facility-onset (HO) CDI. Despite including test type in the risk adjustment, some hospital personnel and other stakeholders are concerned that NAAT use is associated with higher SIRs than are EIAs. To investigate this issue, we analyzed NHSN data from acute-care hospitals for July 1, 2017 through June 30, 2018. Methods: Calendar quarters for which CDI test type was reported as NAAT (includes NAAT, glutamate dehydrogenase (GDH)+NAAT and GDH+EIA followed by NAAT if discrepant) or EIA (includes EIA and GDH+EIA) were selected. HO CDI SIRs were calculated for facility-wide inpatient locations. We conducted the following analyses: (1) Among hospitals that did not switch their test type, we compared the distribution of HO incident rates and SIRs by those reporting NAAT vs EIA. (2) Among hospitals that switched their test type, we selected quarters with a stable switch pattern of 2 consecutive quarters of each of EIA and NAAT (categorized as pattern EIA-to-NAAT or NAAT-to-EIA). Pooled semiannual SIRs for EIA and NAAT were calculated, and a paired t test was used to evaluate the difference of SIRs by switch pattern. Results: Most hospitals did not switch test types (3,242, 89%), and 2,872 (89%) reported sufficient data to calculate SIRs, with 2,444 (85%) using NAAT. The crude pooled HO CDI incidence rates for hospitals using EIA clustered at the lower end of the histogram versus rates for NAAT (Fig. 1). The SIR distributions of both NAAT and EIA overlapped substantially and covered a similar range of SIR values (Fig. 1). Among hospitals with a switch pattern, hospitals were equally likely to have an increase or decrease in their SIR (Fig. 2). The mean SIR difference for the 42 hospitals switching from EIA to NAAT was 0.048 (95% CI, −0.189 to 0.284; P = .688). The mean SIR difference for the 26 hospitals switching from NAAT to EIA was 0.162 (95% CI, −0.048 to 0.371; P = .124). Conclusions: The pattern of SIR distributions of both NAAT and EIA substantiate the soundness of NHSN risk adjustment for CDI test types. Switching test type did not produce a consistent directional pattern in SIR that was statistically significant.Disclosures: NoneFunding: None


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S843-S843
Author(s):  
Cynthia Lucero-Obusan ◽  
Patricia Schirmer ◽  
Gina Oda ◽  
Mark Holodniy

Abstract Background Respiratory Syncytial Virus (RSV) is an increasingly recognized cause of acute respiratory illness in older adults, leading to an estimated 177,000 hospitalizations and 14,000 deaths each year in the US. In adult populations, diagnostic testing for RSV has historically been underutilized. Herein, we examine national trends in RSV testing and infection across the Veterans Affairs (VA) healthcare system. Methods Electronic RSV laboratory testing results, ICD-coded hospitalizations and outpatient encounters were obtained from VA’s Praedico Surveillance System (1/1/2010-12/31/2018). Patients were reviewed for positive results, repeat testing, and demographics. Antibody tests were excluded. Results A total of 102,251 RSV results were included. Overall, 4,372 (4.3%) specimens from 4,263 unique individuals were positive with a median age of 67 years (range 0-101) and 90% were male. 1,511 individuals (35.4%) also had an RSV-coded hospitalization. RSV type was specified for only 7.8% of positives (Table). During 2010-2018 there were 2,522 RSV-coded hospitalizations (median length of stay = 4 days) among 2,444 unique individuals, which included 413 ICU stays (16.4%) and 98 deaths (3.9%) during the RSV-coded hospitalization. Approximately 78% of RSV-coded hospitalizations within VA (excluding all non-VA hospitalizations) had a documented positive test result. A greater than 15-fold increase in RSV tests performed, hospitalizations and outpatient encounters was observed from 2010-2018, although the percent testing positive remained relatively stable (Figure, Table). Figure. Testing for Respiratory Syncytial Virus (RSV), Department of Veterans Affairs, 2010-2018. Table. Select RSV Surveillance Metrics, Department of Veterans Affairs, 2010-2018 Conclusion RSV testing and identification of patients with RSV infection increased dramatically during the time period analyzed, likely due to increased availability of PCR-based multi-pathogen panels and duplex assays. While the percentage of tests positive for RSV remained relatively stable, the rise in coded hospitalizations may be due to increased testing for RSV among hospitalized Veterans with severe respiratory infections. These surveillance data may allow for further characterization of RSV disease burden estimates which can help inform clinical management and development of interventions for adults, such as vaccines and antiviral therapies. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 41 (S1) ◽  
pp. s133-s133
Author(s):  
Mohammad Alrawashdeh ◽  
Chanu Rhee ◽  
Heather Hsu ◽  
Grace Lee

Background: The Hospital-Acquired Conditions Reduction Program (HACRP) and Hospital Value-Based Purchasing (HVBP) are federal value-based incentive programs that financially reward or penalize hospitals based on quality metrics. Hospital-onset C. difficile infection (HO-CDI) rates reported to the CDC NHSN became a target quality metric for both HACRP and HVBP in October 2016, but the impact of these programs on HO-CDI rates is unknown. Methods: We used an interrupted time-series design to examine the association between HACRP/HVBP implementation in October 2016 and quarterly rates of HO-CDI per 10,000 patient days among incentive-eligible acute-care hospitals conducting facility-wide HO-CDI NHSN surveillance between January 2013 and March 2019. Generalized estimating equations were used to fit negative binomial regression models to assess for immediate program impact (ie, level change) and changes in the slope of HO-CDI rates, controlling for each hospital’s predominant method for CDI testing (nucleic acid amplification including PCR (NAAT), enzyme immunoassay for toxin (EIA), or other testing method including cell cytotoxicity neutralization assay and toxigenic culture). Results: Of the 265 study hospitals studied, most were medium-sized (100–399 beds, 55%), not-for-profit (77%), teaching hospitals (70%), and were located in a metropolitan area (87%). Compared to EIA, rates of HO-CDI were higher when detected by NAAT (incidence rate ratio [IRR], 1.55; 95% CI, 1.41–1.70) or other testing methods (IRR, 1.47; 95% CI, 1.26–1.71). Controlling for CDI testing methods, HACRP/HVBP implementation was associated with an immediate 6% decline in HO-CDI rates (IRR, 0.94; 95% CI, 0.89–0.99) and a 4% decline in slope per year-quarter thereafter (IRR, 0.96; 95% CI, 0.95–0.97) (Fig. 1). Conclusions: HACRP/HVBP implementation was associated with both immediate and gradual improvements in HO-CDI rates, independent of CDI testing methods of differing sensitivity. Future research may evaluate the precise mechanisms underlying this improvement and if this impact is sustained in the long term.Funding: NoneDisclosures: None


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