scholarly journals Routinization of HIV & HCV Testing in the Inpatient Setting: Involvement of Residents and Nurses

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S425-S425
Author(s):  
Gabriel Buluku ◽  
Sally Bjornholm ◽  
Travis Brown ◽  
Jamie Mignano ◽  
Sarah Schmalzle
Keyword(s):  
Scale Up ◽  
Internal Medicine Resident ◽  
Fourth Generation ◽  
Hcv Rna ◽  
Inpatient Setting ◽  
Medicine Resident ◽  
Opt Out ◽  
Time Of Admission ◽  
Hcv Testing ◽  
Hiv 1

Abstract Background Approximately 1 in 5 and 1 in 2 of people infected with HIV and HCV respectively in the US are unaware of their infection. Risk based opt-in testing strategies result in missed or delayed diagnoses and may further stigmatize these illnesses. The use of routine opt-out testing increases test uptake and can identify patients with HIV or HCV early, resulting in improved outcomes and decreased transmission. This strategy has not yet been fully accepted or operationalized in many health care settings. Methods We implemented routine opt-out HIV and HCV testing for all inpatients using internal medicine resident and nurse driven screening models. Patients were eligible for each test if they had not been tested within 1 year and were not known to be infected. Residents were educated on rationale and protocols for routine opt out testing via one grand rounds lecture (January 2016) and one residency orientation lecture (August 2016). Between March and November 2016, residents were incentivized with gift cards awarded for most tests ordered. Nurses were educated through targeted forums. Instructions were distributed and placed in high traffic areas and HIV 1/2 fourth-generation Ag-Ab and HCV Ab orders were added to admission order sets. Patients were given a chance to decline after routine opt-out testing was offered and educational brochure provided, in accordance with Maryland law. Positive tests were confirmed using Western Blot initially, later changed to HIV 1/2 differentiation assay; HCV was confirmed with HCV RNA. Those with confirmed infection were linked to care. Results 71% of 3814 and 83% of 2219 eligible patients were tested for HIV and HCV; 54 (2%) and 390 (21%) were diagnosed with HIV and HCV respectively (Figure 1). Testing activity averaged 32 HIV and 28 HCV tests per month from January to March 2016 and increased after the noted interventions to an average of 300 HIV and 247 HCV tests per month from January to March 2017. Conclusion A high disease burden was found within the studied population, highlighting the benefit of routine opt out testing for HIV and HCV. Empowering residents and nurses to offer screening at time of admission is a viable strategy to scale up testing in the inpatient setting. Disclosures All authors: No reported disclosures.

Finding the missing millions: Integrating automated viral hepatitis screening in a hospital with care and treatment in a primary care setting.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 108-108
Author(s):  
Ruth Brogden ◽  
Su Wang ◽  
Binghong Xu
Keyword(s):  
Primary Care ◽  
Liver Cancer ◽  
Viral Hepatitis ◽  
Scale Up ◽  
Cancer Center ◽  
Patient Navigator ◽  
Care Practice ◽  
Hcv Rna ◽  
Inpatient Setting ◽  
Hospital System

108 Background: Rates of hepatocellular carcinoma (HCC) are rising in the US. Patients at Saint Barnabas Medical Cancer Center (SBMC) present with late-stage HCC at higher rates (29%) compared to the national (16%). Chronic Hepatitis C (HCV) and Hepatitis B (HBV) are major drivers of liver cancer, yet screening rates are low. Finding these missing millions is important to reducing rates of HCC. An automated emergency department (ED) viral hepatitis (VH) screening program was initiated in 2018 at SBMC. In January 2020, it was expanded to the inpatient setting and HCV screening was modified from cohort screening (those born in 1945-65) to a one time test for anybody 18 years or over, per updated Centers for Disease Control (CDC) and USPSTF (US Preventive Services Taskforce) recommendations. Methods: The electronic medical record (EMR) was modified to automate screening. HBV testing is triggered by a patient’s country of birth or race, and HCV testing is triggered by age over 18 and no previous testing. The automated HCV (HCV Ab with reflex to HCV RNA) or HBV (HBsAg) lab orders lead to an EMR notification to the nurses of patient eligibility and education is provided to patients. Alerts of positive results are sent to nursing staff, physicians, and the patient navigator (PN). The PN is sent a real-time secure text message and works individually with patients to arrange linkage-to-care (LTC) for evaluation and treatment. Results: From March 2018 - December 2020, 44,002 patients were screened for HCV and 884 (2.0%) were HCVAb+ and 242 (0.55%) HCV RNA+. For HBV, 21,328 patients were screened and 212 (0.99%) were HBsAg+. The expanded screenings accounted for 8,716 (19.8%) of the total HCV screenings. Individuals born outside the 1945-65 birth cohort (younger and older) made up 76.2% of those screened and 41% of the infected. The top 3 countries for HBV screenings were Haiti, Jamaica, and Ecuador. LTC rates, defined as attending first medical appointment or already in care, were 86.8% for HCV and 85.4% for HBV. Of those linked to care, 43 HCV+ patients were seen at a outpatient primary care practice part of SBMC, and of those, 39 initiated HCV cure therapy and 33 were cured (confirmed sustained virologic response at 12 weeks), and 35 HBV+ patients were seen and 6 initiated treatment. Conclusions: This automated program for VH has led to a significant scale up of screening with successful LTC and treatment of patients. Expansion to universal screening of all adults and to the inpatient setting found additional viral hepatitis patients who would have otherwise been missed. In addition to the automated screening, a multidisciplinary team including internists, pharmacists, and patient navigators were part of creating a primary care based program. Integration of viral hepatitis screening and care in a hospital system can be initial steps towards establishing liver cancer prevention program.

The prevalence of hepatitis B and C co-infections among people with HIV-1 in Bulgaria: 2010–2015

2019 ◽  
Vol 14 (12) ◽  
pp. 791-798
Author(s):  
Ivailo Alexiev ◽  
Elitsa Golkocheva-Markova ◽  
Asya Kostadinova ◽  
Reneta Dimitrova ◽  
Lora Nikolova ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Hepatitis B ◽  
Hepatitis B Surface Antigen ◽  
Hcv Rna ◽  
B Virus ◽  
Sex With Men ◽  
Multiple Risk Behavior ◽  
Hiv 1 ◽  
Hiv Aids

Aim: To evaluate hepatitis B virus (HBV) and hepatitis C virus (HCV) among individuals with HIV/AIDS in Bulgaria diagnosed between 2010 and 2015. Materials & methods: A total of 1158 individuals were diagnosed with HIV/AIDS during the study period. Different transmission groups were tested with ELISA and real-time PCR for HBV and HCV markers. Results: Hepatitis B surface antigen and hepatitis C virus antiboby were found in 9.3 and 23.2% of the tested. HBV DNA and HCV RNA has been found in 47.4 and 69.6%. Hepatitis B and C co-infections were predominant in multiple risk behavior groups, including people who inject drugs, men who have sex with men, prisoners and Roma individuals. Conclusion: HIV prevalence in Bulgaria is low but the rates of hepatitis B and C co-infections among these patients fall within the upper range reported in Europe.

scholarly journals 964. Opt-Out HIV- Hepatitis C (HCV) Testing at a Primary Care Resident Clinic in Columbia, SC: Who Gets Tested and Who Opts Out of Testing?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S512-S512
Author(s):  
Jodian Pinkney ◽  
Divya Ahuja ◽  
Caroline Derrick ◽  
Martin Durkin
Keyword(s):  
Primary Care ◽  
Hiv Testing ◽  
Demographic Variables ◽  
Demographic Characteristics ◽  
Categorical Variables ◽  
Newly Diagnosed ◽  
Opting Out ◽  
Opt Out ◽  
Primary Care Resident ◽  
Hcv Testing

Abstract Background South Carolina (SC) remains one of the most heavily affected states for both HIV and HCV infections. Males account for the majority of cases. Implementation of universal opt-out testing has improved screening rates but not much has been published describing the characteristics of those who opt out of testing. This becomes important as 10-50% of patients have opted out in previous studies. Methods Between February and August 2019, we conducted a quality improvement (QI) project which implemented opt- out HIV-HCV testing at a single primary care resident clinic in SC with the primary aim of increasing screening rates for HIV-HCV by 50%. Secondary aims included describing the demographic characteristics of the opt-out population. Persons were considered eligible for testing if they were between the ages of 18-65 years for HIV and 18-74 years for HCV. This was prior to the USPSTF 2020 guidelines which recommend HCV screening for adults aged 18-79 years. A retrospective chart review was used to obtain screening rates, opt status and demographic data. Logistic regression and the firth model were used to determine linkages between categorical variables. We present 3-month data. Results 1253 patients were seen between May 1, 2019- July 31, 2019 (See Table 1). 985 (78%) were eligible for HIV testing. 482 (49%) were tested for HIV as a result of our QI project and all tests were negative. 212 (22%) of eligible patients opted out of HIV testing. Males were 1.59 times more likely to opt out (p=0.008). (see Table 2,3) Regarding HCV, 1136 (90.7%) were deemed eligible for testing. 503 (44%) were tested for HCV as a result of our QI project. 12 (2.4%) were HCV antibody positive with viremia. 11 (90%) of antibody positive with viremia cases were in the 1945-1965 birth cohort (see Table 4). 244 (21%) opted out of HCV testing. Males and persons without a genitourinary chief complaint were more likely to opt out (p=0.02). Table 1: Demographic characteristics of the population seen at the internal medicine resident clinic between May- July 2019 Table 2: Relationship between demographic variables and the odds of being tested for HIV or HCV within the last 12 months. Logistic Model. Table 3: Relationship between demographic variables and the odds of opting out of testing for HIV or HCV. Firth Model. Conclusion Although implementation of routine HIV-HCV opt-out testing led to increased screening rates for both HIV and HCV, roughly 1 in 5 eligible patients chose to opt out of testing. Males were more likely to opt out despite accounting for the majority of newly diagnosed HCV cases. Future studies investigating drivers for opting-out in the male population could improve testing and assist with early diagnosis. Table 4: Characteristics of patients newly diagnosed with HCV positive with viremia. Disclosures All Authors: No reported disclosures

Drug Alert Experience and Salience during Medical Residency at Two Healthcare Institutions

2021 ◽  
Vol 12 (02) ◽  
pp. 355-361
Author(s):  
Kinjal Gadhiya ◽  
Edgar Zamora ◽  
Salim M. Saiyed ◽  
David Friedlander ◽  
David C. Kaelber
Keyword(s):  
Internal Medicine ◽  
Residency Training ◽  
Medical Center ◽  
Internal Medicine Resident ◽  
Clinical Decision ◽  
University Of Pennsylvania ◽  
Teaching Hospitals ◽  
Medicine Resident ◽  
Internal Medicine Residents ◽  
The University

Abstract Background Drug alerts are clinical decision support tools intended to prevent medication misadministration. In teaching hospitals, residents encounter the majority of the drug alerts while learning under variable workloads and responsibilities that may have an impact on drug-alert response rates. Objectives This study was aimed to explore drug-alert experience and salience among postgraduate year 1 (PGY-1), postgraduate year 2 (PGY-2), and postgraduate year 3 (PGY-3) internal medicine resident physicians at two different institutions. Methods Drug-alert information was queried from the electronic health record (EHR) for 47 internal medicine residents at the University of Pennsylvania Medical Center (UPMC) Pinnacle in Pennsylvania, and 79 internal medicine residents at the MetroHealth System (MHS) in Ohio from December 2018 through February 2019. Salience was defined as the percentage of drug alerts resulting in removal or modification of the triggering order. Comparisons were made across institutions, residency training year, and alert burden. Results A total of 126 residents were exposed to 52,624 alerts over a 3-month period. UPMC Pinnacle had 15,574 alerts with 47 residents and MHS had 37,050 alerts with 79 residents. At MHS, salience was 8.6% which was lower than UPMC Pinnacle with 15%. The relatively lower salience (42% lower) at MHS corresponded to a greater number of alerts-per-resident (41% higher) compared with UPMC Pinnacle. Overall, salience was 11.6% for PGY-1, 10.5% for PGY-2, and 8.9% for PGY-3 residents. Conclusion Our results are suggestive of long-term drug-alert desensitization during progressive residency training. A higher number of alerts-per-resident correlating with a lower salience suggests alert fatigue; however, other factors should also be considered including differences in workload and culture.

scholarly journals Acute Infections, Cost per Infection and Turnaround Time in Three United States Hospital Laboratories Using Fourth-Generation Antigen-Antibody Human Immunodeficiency Virus Immunoassays

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Laura G. Wesolowski ◽  
Muazzam Nasrullah ◽  
Robert W. Coombs ◽  
Eric Rosenberg ◽  
Steven F. Ethridge ◽  
...  
Keyword(s):  
Human Immunodeficiency Virus ◽  
South Carolina ◽  
Massachusetts General Hospital ◽  
Medical Center ◽  
Fourth Generation ◽  
Reference Laboratory ◽  
Acute Infections ◽  
Immunodeficiency Virus ◽  
Antigen Antibody ◽  
Hiv 1

Abstract Background.  To improve clinical and public health outcomes through early human immunodeficiency virus (HIV) detection, fourth-generation antigen/antibody immunoassay (4IA) and supplemental testing results must be returned rapidly. Methods.  We examined HIV testing data at Harborview Medical Center (HMC), Massachusetts General Hospital (MGH), and the Medical University of South Carolina (MUSC), which used 4IA and supplemental antibody and nucleic acid tests (NATs). At MGH and MUSC, HIV-1 Western blot (WB) and HIV-2 testing were conducted at a reference laboratory. We compared time from specimen collection to laboratory result for established (positive WB) and acute infections (reactive 4IA, negative/indeterminate WB, detectable NAT), and we calculated testing cost per positive-test result. Results.  From 3731 (MUSC) to 19 774 (MGH) tests were conducted; 0.01% (MGH) to 0.05% (HMC) were acute infections. Each laboratory had reactive 4IA, WB-negative, or indeterminate specimens without NAT (ie, potential acute infections). Time to result was 1.5 (HMC) to 5.2 days (MGH) for acute and 1.0 (HMC) to 5.2 days (MGH) for established infections. Costs were $1054 (MGH) to $1521 (MUSC). Conclusions.  Conducting supplemental testing in-house lowered turnaround times, which may be further reduced with rapid HIV-1/HIV-2 differentiation tests. Hospitals may benefit from quantitative NATs not requiring physician orders, so all potential acute infections receive NAT.

scholarly journals Failure of Fourth-Generation Enzyme Immunoassay in HIV Screening and Plasma HIV-1 RNA Detection in Recent High-Risk Behavior

Intervirology ◽  
2014 ◽  
Vol 57 (1) ◽  
pp. 49-51 ◽  
Author(s):  
Sarah Maylin ◽  
Sébastien Fouéré ◽  
François Simon ◽  
Constance Delaugerre
Keyword(s):  
High Risk ◽  
Enzyme Immunoassay ◽  
Risk Behavior ◽  
Fourth Generation ◽  
Hiv Screening ◽  
Rna Detection ◽  
High Risk Behavior ◽  
Hiv 1

scholarly journals Military Internal Medicine Resident Decision to Apply to Fellowship and Extend Military Commitment

2018 ◽  
Vol 183 (7-8) ◽  
pp. e299-e303 ◽  
Author(s):  
Alice E Barsoumian ◽  
Joshua D Hartzell ◽  
Erin M Bonura ◽  
Roseanne A Ressner ◽  
Timothy J Whitman ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Internal Medicine Resident ◽  
Medicine Resident

scholarly journals EMR-based handoff tool improves completeness of internal medicine residents’ handoffs

2018 ◽  
Vol 7 (3) ◽  
pp. e000188 ◽  
Author(s):  
Rebecca L Tisdale ◽  
Zac Eggers ◽  
Lisa Shieh
Keyword(s):  
Internal Medicine ◽  
Medical Center ◽  
Internal Medicine Resident ◽  
Objective Data ◽  
Code Status ◽  
Medicine Resident ◽  
Communication Breakdown ◽  
Internal Medicine Residents ◽  
Action List ◽  
Identical Fashion

BackgroundThe majority of adverse events in healthcare involve communication breakdown. Physician-to-physician handoffs are particularly prone to communication errors, yet have been shown to be more complete when systematised according to a standardised bundle. Interventions that improve thoroughness of handoffs have not been widely studied.AimTo measure the effect of an electronic medical record (EMR)-based handoff tool on handoff completeness.InterventionThis EMR-based handoff tool included a radio button prompting users to classify patients as stable, a ‘watcher’ or unstable. It automatically pulled in EMR data on the patient’s 24-hour vitals, common lab tests and code status. Finally, it provided text boxes labelled ‘Active Issues’, ‘Action List (To-Dos)’ and ‘If/Then’ to fill in.Implementation and evaluationWritten handoffs from general and specialty (haematology, oncology, cardiology) Internal Medicine resident-run inpatient wards were evaluated on a randomly chosen representative sample of days in April and May 2015 at Stanford University Medical Center, focusing on a predefined set of content elements. The intervention was then implemented in June 2015 with postintervention data collected in an identical fashion in August to September 2016.ResultsHandoff completeness improved significantly (p<0.0001). Improvement in inclusion of illness severity was notable for its magnitude and its importance in establishing a consistent mental model of a patient. Elements that automatically pulled in data and those prompting users to actively fill in data both improved.ConclusionA simple EMR-based handoff tool providing a mix of frameworks for completion and automatic pull-in of objective data improved handoff completeness. This suggests that EMR-based interventions may be effective at improving handoffs, possibly leading to fewer medical errors and better patient care.

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