Warfarin Monitoring in Safety-Net Health Systems: Analysis by Race/Ethnicity and Language Preference

2022 ◽  
Author(s):  
Anjana E. Sharma ◽  
Elaine C. Khoong ◽  
Natalie Rivadeneira ◽  
Maribel Sierra ◽  
Margaret C. Fang ◽  
...  
Keyword(s):  
Health Systems ◽  
Systems Analysis ◽  
Safety Net ◽  
Language Preference ◽  
Race Ethnicity

scholarly journals Dissecting Disease, Race, Ethnicity, And Socioeconomic Factors For Hepatocellular Carcinoma: An Analysis From The United States Safety Net Collaborative

HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S22-S23
Author(s):  
R.M. Lee ◽  
A.C. Gamboa ◽  
M.K. Turgeon ◽  
A. Yopp ◽  
E.L. Ryon ◽  
...  
Keyword(s):  
United States ◽  
Hepatocellular Carcinoma ◽  
Socioeconomic Factors ◽  
Safety Net ◽  
The United States ◽  
Race Ethnicity

scholarly journals Accurate Measurement In California’s Safety-Net Health Systems Has Gaps And Barriers

2018 ◽  
Vol 37 (11) ◽  
pp. 1760-1769
Author(s):  
Elaine C. Khoong ◽  
Roy Cherian ◽  
Natalie A. Rivadeneira ◽  
Gato Gourley ◽  
Jinoos Yazdany ◽  
...  
Keyword(s):  
Health Systems ◽  
Safety Net

scholarly journals Inequities in CLABSI Rates in a Children’s Hospital by Race, Ethnicity, and Language Preference

2021 ◽  
Vol 1 (S1) ◽  
pp. s43-s44
Author(s):  
Caitlin McGrath ◽  
Matthew Kronman ◽  
Danielle Zerr ◽  
Brendan Bettinger ◽  
Tumaini Coker ◽  
...  
Keyword(s):  
Reference Group ◽  
Tertiary Care ◽  
Central Line ◽  
Mucosal Barrier ◽  
Point Estimate ◽  
Language Preference ◽  
Children's Hospital ◽  
Children’S Hospital ◽  
Race Ethnicity ◽  
Clabsi Rate

Background: Systemic racism results in health inequities based on patient race, ethnicity, and language preference. Whether these inequities exist in pediatric central-line–associated bloodstream infections (CLABSIs) is unknown. Methods: This retrospective cohort study included patients with central lines hospitalized from October 2012 to June 2019 at our tertiary-care children’s hospital. Self-reported race, ethnicity, language preference, demographic, and clinical factors were extracted from the electronic health record. The primary outcome was non–mucosal barrier injury (non-MBI) CLABSI episodes as defined by the NHSN. CLABSI rates between groups were compared using χ2 tests and Cox proportional hazard regression. We adjusted for care unit, age, immunosuppressed status, diapered status, central-line type, line insertion within 7 days, daily CLABSI maintenance bundle compliance, number of blood draws and IV medication doses, and need for total parental nutrition, extracorporeal membrane oxygenation, and renal replacement therapy. In mid-2019, we engaged stakeholders in each care unit to describe preliminary findings and to identify and address potential drivers of observed inequities. Results: We included 337 non-MBI CLABSI events over 230,699 central-line days (CLDs). The overall non-MBI CLABSI rate during the study period was 1.46 per 1,000 CLDs. Unadjusted CLABSI rates for black or African American (henceforth, “black”), Hispanic, non-Hispanic white, and Asian (the 4 largest race or ethnicity groups by CLDs) patients were 2.74, 1.53, 1.42, 1.24 per 1,000 CLDs, respectively (P < .001) (Table 1). Unadjusted CLABSI rates for patients with limited-English proficiency (LEP) and English-language preference were 1.98 and 1.38 per 1,000 CLDs, respectively (P = .014). After adjusting for covariates, the hazard ratio (HR) point estimate for CLABSI rate remained higher for black patients (HR, 1.50; 95% CI, 0.99–2.28) and patients with LEP (HR, 1.33; 95% CI, 0.87–2.05), compared to the reference group based on largest CLD. The differences in CLABSI rate by race or ethnicity and language were more pronounced in 2 of our 6 care units. Stakeholder engagement and analysis of hospital data revealed opportunities on those units for improved (1) interpreter utilization and (2) line maintenance observation practices by race/ethnicity and language preference (data not shown). These findings and CLABSI rates over time by race/ethnicity and language preference (Figures 1 and 2) were shared with frontline staff. Conclusions: In our children’s hospital, CLABSI rates differed based on patients’ self-reported race, ethnicity, and language preference, despite controlling for factors commonly associated with CLABSI. Identifying inequities in CLABSI rates and mitigating their determinants are both essential to the goal of achieving equitable care.Funding: NoDisclosures: None

Comparative Health Systems Analysis and Evaluation

2021 ◽  
pp. 1-47
Author(s):  
Carleen H. Stoskopf ◽  
Marissa A. Venn
Keyword(s):  
Health Systems ◽  
Systems Analysis ◽  
Analysis And Evaluation

Impact of dual anti-HER2 therapy on pathologic complete response rate in breast cancer in a minority-enriched population.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18111-e18111 ◽  
Author(s):  
Jenny Jing Li ◽  
Hsiao Ching Li ◽  
Ang Gao ◽  
Samira K. Syed ◽  
Nisha Unni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Complete Response Rate ◽  
Pathologic Complete Response ◽  
Neoadjuvant Treatment ◽  
Complete Response ◽  
Safety Net ◽  
Her2 Breast Cancer ◽  
Race Ethnicity ◽  
Pathologic Complete Response Rate ◽  
Racial Ethnic

e18111 Background: The addition of pertuzumab (P) to a neoadjuvant trastuzumab (H) plus chemotherapy combination has been shown to significantly improve the pathologic complete response rate (pCR) in localized HER2+ breast cancer; however, minorities have been under-represented in these trials. Racial/ethnic disparities have also been shown to affect outcomes of cancer treatment. This study is aimed to assess the impact of neoadjuvant dual HER2-blockade in an unselected minority-enriched population. Methods: A retrospective chart review was conducted of women with stage I to III HER2+ breast cancer who received neoadjuvant treatment between 2007 and 2017 at an academic institution and its affiliated safety net health system. Data on stage, chemotherapy, race/ethnicity, site of therapy (academic vs safety net hospital), and hormone receptor status were collected. All patients underwent surgery after completion of neoadjuvant chemotherapy. pCR was defined as ypT0/is, ypN0. Chi-squared test and univariate/multivariate logistic regression were used for statistical analysis. Results: The study population included 261 women with the following race/ethnic distribution: 37.7% Non-Hispanic Whites, 34.6% Hispanics, 20.6% Blacks, and 7% other racial/ethnic origin. Ninety-five patients (36%) received chemotherapy-H vs 166 patients (64%) received chemotherapy-HP. Patients at the safety net health system had higher stage at diagnosis compared to the academic site. Site of care and race/ethnicity did not impact the choice of neoadjuvant treatment. The pCR rate was significantly higher for the chemotherapy-HP group (55.4%) compared to the chemotherapy-H group (34.7%) (p = 0.001). There was no association between race/ethnicity, or site of treatment (academic vs safety net), and the probability of achieving pCR. Multivariate analysis showed only dual anti-HER2 therapy (OR: 2.67, CI: 1.55-4.59, p = 0.0004) and hormone-receptor negative status (OR: 2.18, CI: 1.30-3.67, p = 0.0031) to correlate with pCR. Conclusions: Neoadjuvant dual anti-HER2 therapy was more likely to result in a pCR in our minority enriched population. Our data also suggests the combination of chemotherapy-HP confers similar benefit irrespective of race/ethnicity or site of care.

scholarly journals Race/Ethnicity, Primary Language, and Income Are Not Demographic Drivers of Mortality in Breast Cancer Patients at a Diverse Safety Net Academic Medical Center

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Divya A. Parikh ◽  
Rani Chudasama ◽  
Ankit Agarwal ◽  
Alexandar Rand ◽  
Muhammad M. Qureshi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Medical Center ◽  
Academic Medical Center ◽  
Safety Net ◽  
Primary Language ◽  
Breast Cancer Patients ◽  
Patient Demographics ◽  
Academic Medical ◽  
Race Ethnicity

Objective. To examine the impact of patient demographics on mortality in breast cancer patients receiving care at a safety net academic medical center.Patients and Methods. 1128 patients were diagnosed with breast cancer at our institution between August 2004 and October 2011. Patient demographics were determined as follows: race/ethnicity, primary language, insurance type, age at diagnosis, marital status, income (determined by zip code), and AJCC tumor stage. Multivariate logistic regression analysis was performed to identify factors related to mortality at the end of follow-up in March 2012.Results. There was no significant difference in mortality by race/ethnicity, primary language, insurance type, or income in the multivariate adjusted model. An increased mortality was observed in patients who were single (OR = 2.36, CI = 1.28–4.37,p=0.006), age > 70 years (OR = 3.88, CI = 1.13–11.48,p=0.014), and AJCC stage IV (OR = 171.81, CI = 59.99–492.06,p<0.0001).Conclusions. In this retrospective study, breast cancer patients who were single, presented at a later stage, or were older had increased incidence of mortality. Unlike other large-scale studies, non-White race, non-English primary language, low income, or Medicaid insurance did not result in worse outcomes.

scholarly journals The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Dean Schillinger ◽  
Danielle McNamara ◽  
Scott Crossley ◽  
Courtney Lyles ◽  
Howard H. Moffet ◽  
...  
Keyword(s):  
Health Systems ◽  
Computational Linguistics ◽  
Online Communication ◽  
Safety Net ◽  
Literacy Skills ◽  
Patient Portals ◽  
Healthcare Organizations ◽  
Linguistic Complexity ◽  
Secure Messaging ◽  
Linguistic Divide

Health systems are heavily promoting patient portals. However, limited health literacy (HL) can restrict online communication via secure messaging (SM) because patients’ literacy skills must be sufficient to convey and comprehend content while clinicians must encourage and elicit communication from patients and match patients’ literacy level. This paper describes the Employing Computational Linguistics to Improve Patient-Provider Secure Email (ECLIPPSE) study, an interdisciplinary effort bringing together scientists in communication, computational linguistics, and health services to employ computational linguistic methods to (1) create a novel Linguistic Complexity Profile (LCP) to characterize communications of patients and clinicians and demonstrate its validity and (2) examine whether providers accommodate communication needs of patients with limited HL by tailoring their SM responses. We will study >5 million SMs generated by >150,000 ethnically diverse type 2 diabetes patients and >9000 clinicians from two settings: an integrated delivery system and a public (safety net) system. Finally, we will then create an LCP-based automated aid that delivers real-time feedback to clinicians to reduce the linguistic complexity of their SMs. This research will support health systems’ journeys to become health literate healthcare organizations and reduce HL-related disparities in diabetes care.

scholarly journals Trends in Prevalence of Extended-Spectrum Beta-Lactamase-Producing Escherichia Coli Isolated From Patients With Community- And Healthcare-Associated Bacteriuria: Results From 2014 To 2020 In An Urban Safety-Net Healthcare System

2021 ◽  
Author(s):  
Eva Raphael ◽  
Maria Glymour ◽  
Henry F Chambers
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Safety Net ◽  
Male Gender ◽  
Beta Lactamase ◽  
Extended Spectrum Beta Lactamase ◽  
E Coli ◽  
Race Ethnicity ◽  
Healthcare Associated ◽  
Community Onset

Abstract BackgroundThe prevalence of infections caused by extended-spectrum beta-lactamase producing Escherichia coli (ESBL-E. coli) is increasing worldwide, but the setting in which this increase is occurring is not well defined. We compared trends and risk factors for ESBL-E. coli bacteriuria in community vs healthcare settings.MethodsWe collected electronic health record data on all patients with E. coli isolated from urine cultures in a safety-net public healthcare system from January 2014 to March 2020. All analyses were stratified by healthcare-onset/associated (bacteriuria diagnosed > 48 hours after hospital admission or in an individual hospitalized in the past 90 days or in a skilled nursing facility resident, N=1,277) or community-onset bacteriuria (all other, N=7,751). We estimated marginal trends from logistic regressions to evaluate annual change in prevalence of ESBL-E. coli bacteriuria among all bacteriuria. We evaluated risk factors using logistic regression models.ResultsESBL-E. coli prevalence increased in both community-onset (0.91% per year, 95% CI: 0.56%, 1.26%) and healthcare-onset/associated (2.31% per year, CI: 1.01%, 3.62%) bacteriuria. In multivariate analyses, age >65 (RR 1.88, CI: 1.17, 3.05), male gender (RR 2.12, CI: 1.65, 2.73), and Latinx race/ethnicity (RR 1.52, CI: 0.99, 2.33) were associated with community-onset ESBL-E. coli. Only male gender (RR 1.53, CI: 1.03, 2.26) was associated with healthcare-onset/associated ESBL-E. coli.ConclusionsESBL-E. coli bacteriuria frequency increased at a faster rate in healthcare-associated settings than in the community between 2004 to 2020. Male gender was associated with ESBL-E. coli bacteriuria in both settings, but additional risks—age >65 and Latinx race/ethnicity—were observed only in the community.

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