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Objective: To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level., Data Source and Study Setting: We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019., Study Design: We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender., Data Collection/extraction Methods: We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence., Principal Findings: Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination., Conclusions: We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation., (Published 2024. This article is a U.S. Government work and is in the public domain in the USA. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Background: In-home remote foot temperature monitoring (RTM) holds promise as a method to reduce foot ulceration in high-risk patients with diabetes. Few studies have evaluated adherence to this method or evaluated the factors associated with noncompliance., Objective: The aims of this study were to estimate noncompliance in patients who were enrolled in RTM nationwide across Department of Veterans Affairs (VA) and to evaluate characteristics associated with noncompliance., Methods: We conducted an observational study including 1137 patients in the VA who were enrolled in RTM between January 2019 and June 2021, with follow-up through October 2021. Patient information was obtained from the VA's electronic health record and RTM use was obtained from the company. Noncompliance was defined as using the mat <2 days per week for ≥4 of the 12 months of follow-up. Using a multivariable model, we calculated odds ratios (ORs) and 95% CIs for associations between various factors and noncompliance and compared using Akaike information criterion statistics, a measure of model fit., Results: The sample was predominantly male (n=1125, 98.94%) ; 21.1% (n=230) were Black and 75.7% (n=825) were White. Overall, 37.6% (428/1137) of patients were classified as noncompliant. In the multivariable model, an intermediate area deprivation index was statistically significantly and inversely associated with noncompliance (area deprivation index 50-74 vs 1-24; OR 0.56, 95% CI 0.35-0.89); factors significantly and positively associated with noncompliance included recent history of osteomyelitis (OR 1.44, 95% CI 1.06-1.97), Gagne comorbidity index score ≥4 (vs ≤0; OR 1.81, 95% CI 1.15-2.83), telehealth encounters (28+ vs <6; OR 1.70, 95% CI 1.02-2.84), hemoglobin A1c≥10 (vs <5.7; OR 2.67, 95% CI 1.27-5.58), and current smoking (OR 2.06, 95% CI 1.32-3.20). Based on Akaike information criterion differences, the strongest factors associated with noncompliance were behavioral factors (poor glucose control [as measured by hemoglobin A1c] and smoking), and to a lesser extent, factors such as a recent history of osteomyelitis and an elevated Gagne comorbidity index, indicating a high comorbidity burden., Conclusions: To reduce the risk of ulcer recurrence and amputation, proactively providing additional support for self-monitoring to patients with characteristics identified in this study (poor glucose control, current smoking, high comorbidity burden) may be helpful. Furthermore, research is needed to better understand barriers to use, and whether the addition of design features, reminders, or incentives may reduce noncompliance and the risk of foot ulcers., (© Alyson J Littman, Andrew K Timmons, Anna Korpak, Kwun C G Chan, Kenneth T Jones, Suzanne Shirley, Kyle Nordrum, Jeffrey Robbins, Suhail Masadeh, Ernest Moy. Originally published in JMIR Diabetes (https://diabetes.jmir.org).)

Importance: Telehealth can expand access to care, but digital needs present barriers for some patients., Objective: To investigate sociodemographic and clinical associations of digital needs among veterans., Design, Setting, and Participants: This quality improvement study used data collected between July 2021 and September 2023 from Assessing Circumstances and Offering Resources for Needs (ACORN), a Department of Veterans Affairs (VA) initiative to systematically screen for, comprehensively assess, and address social risks and social needs. Eligible participants were veterans screened for social risks and social needs during routine care at 12 outpatient clinics, 3 emergency departments, and 1 inpatient unit across 14 VA medical centers. Data analysis occurred between October 2023 and January 2024., Exposure: The ACORN screening tool was administered by clinical staff., Main Outcomes and Measures: Veterans were considered positive for a digital need if they reported no smartphone or computer, no access to affordable and reliable internet, running out of minutes and/or data before the end of the month, and/or requested help setting up a video telehealth visit., Results: Among 6419 veterans screened (mean [SD] age, 67.6 [15.9] years; 716 female [11.2%]; 1740 Black or African American [27.1%]; 202 Hispanic or Latino [3.1%]; 4125 White [64.3%]), 2740 (42.7%) reported 1 or more digital needs. Adjusting for sociodemographic and clinical characteristics, the adjusted prevalence (AP) of lacking a device among veterans aged 80 years or older was 30.8% (95% CI, 27.9%-33.7%), 17.9% (95% CI, 16.5%-19.2%) among veterans aged 65 to 79 years, 9.9% (95% CI, 8.2%-11.6%) among veterans aged 50 to 64 years, 3.4% (95% CI, 2.1%-4.6%) among veterans aged 18 to 49 years, 17.6% (95% CI, 16.7%-18.6%) for males, and 7.9% (95% CI, 5.5%-10.3%) for females. AP of lacking affordable or reliable internet was 25.3% (95% CI, 22.6%-27.9%) among veterans aged 80 years or older, 15.0% (95% CI, 12.1%-18.0%) among veterans aged 18 to 49 years, 31.1% (95% CI, 28.9%-33.4%) for Black or African American veterans, 32.1% (95% CI, 25.2%-39.0%) for veterans belonging to other racial groups (ie, American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, as well as those with more than 1 race captured in their medical record), and 19.4% (95% CI, 18.2%-20.6%) for White veterans. Veterans with dementia were at higher risk of lacking a device (adjusted relative risk [aRR], 1.21; 95% CI, 1.00-1.48). Veterans with high medical complexity were at higher risk of lacking internet (aRR, 1.26; 95% CI, 1.11-1.42). Veterans with dementia (aRR, 1.58; 95% CI, 1.24-2.01) or substance use disorder (aRR, 1.22; 95% CI, 1.00-1.49) were more likely to want help scheduling a telehealth visit than those without., Conclusions and Relevance: In this quality improvement study of veterans screened for social risks and social needs, there were substantial disparities in digital needs. These findings suggest that routine screening is important to understand patients' digital access barriers and connect patients with telehealth resources to address inequities in health care.

Purpose: This study examined the differences by sexual orientation in patient-centered care outcomes (including health care experiences and health-related screening) of veterans utilizing Veterans Health Administration (VHA) primary care. Methods: VHA's adapted version of the Consumer Assessment of Healthcare Providers and Systems was used to compare the health care experience of primary care services among sexual minority (SM) and heterosexual veterans. Health care experience measures were dichotomized to "always" versus "less" and stratified by SM status. Health-related screening measures were dichotomous. Survey data were weighted using provided sample weights. Descriptive statistics were performed on sociodemographic characteristics. Logistic regression coefficients were represented as adjusted odds ratios (aORs). A total of 66,348 veterans were included in the analytic sample, of which 2.9% ( n  = 1,935) identified as SM. Sexual orientation was ascertained by self-report measures by veterans. Results: SM veterans were significantly younger (56.95 years vs. 63.43 years, p  < 0.001), were less likely to report that their provider showed respect for what they had to say (aOR: 0.76; 95% confidence interval [CI]: 0.61-0.95), that they were asked about difficulties taking care of their health (aOR: 0.81; 95% CI: 0.67-0.96), and their provider listened carefully to them (aOR: 0.71; 95% CI: 0.57-0.87) compared to heterosexual veterans. Conclusion: Health care experiences differed between SM and heterosexual veterans who sought VHA primary care, suggesting the need to increase provider trainings, which may improve cultural competency and promote a more welcoming and inclusive environment.

Failing to consider disparities in quality measures, such as by race and ethnicity, may obscure inequities in care, which could exist in facilities with overall high-quality ratings. We examined the relationship between overall quality and racial and ethnic disparities in diabetes care quality by health care facility-level performance on a diabetes-related quality measure within a national dataset of veterans using Veterans Health Administration (VA) ambulatory care between March 1, 2020 and Feburary 28, 2021, and were eligible for diabetes quality assessment. We found racial and ethnic disparities in diabetes care quality existed in top-performing VA medical centers (VAMCs) among American Indian or Alaska Native (AIAN) (predicted probability = 30%), Black (predicted probability = 29%), and Hispanic VA-users (predicted probability = 30%) vs White VA-users (predicted probability = 26%). While disparities among Black and Hispanic VA-users were similar relative to White VA-users across VAMCs at all performance levels, disparities were exacerbated for AIAN and Native Hawaiian or Other Pacific Islander VA-users in bottom-performing VAMCs. Equity remains an issue even in facilities providing overall high-quality care. Integrating equity as a component of quality measures can incentivize greater focus on equity in quality improvement., Competing Interests: Conflicts of interest Please see ICMJE form(s) for author conflicts of interest. These have been provided as supplementary materials., (Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc. 2024.)

Objective: We assessed equity in the uptake of remote foot temperature monitoring (RTM) for amputation prevention throughout a large, integrated US healthcare system between 2019 and 2021, including comparisons across facilities and between patients enrolled and eligible patients not enrolled in RTM focusing on the Reach and Adoption dimensions of the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework., Material and Methods: To assess whether there was equitable use of RTM across facilities, we examined distributions of patient demographic, geographic, and facility characteristics across facility RTM use categories (e.g., no RTM use, and low, moderate, and high RTM use) among all eligible patients (n = 46,294). Second, to understand whether, among facilities using RTM, there was equitable enrollment of patients in RTM, we compared characteristics of patients enrolled in RTM (n = 1066) relative to a group of eligible patients not enrolled in RTM (n = 27,166) using logistic regression and including all covariates., Results: RTM use increased substantially from an average of 11 patients per month to over 40 patients per month between 2019 and 2021. High-use RTM facilities had higher complexity and a lower ratio of patients per podiatrist but did not have consistent evidence of better footcare process measures. Among facilities offering RTM, enrollment varied by age, was inversely associated with Black race (vs. white), low income, living far from specialty care, and being in the highest quartiles of telehealth use prior to enrollment. Enrollment was positively associated with having osteomyelitis, Charcot foot, a partial foot amputation, BMI≥30 kg/m2, and high outpatient utilization., Conclusions: RTM growth was concentrated in a small number of higher-resourced facilities, with evidence of lower enrollment among those who were Black and lived farther from specialty care. Future studies are needed to identify and address barriers to uptake of new interventions like RTM to prevent exacerbating existing ulceration and amputation disparities., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Background: The Joint Commission recently named reduction of health care disparities and improvement of health care equity as quality and safety priorities (Leadership [LD] Standard LD.04.03.08 and National Patient Safety Goal [NPSG] Standard NPSG.16.01.01). As the largest integrated health system, the Veterans Health Administration (VHA) sought to leverage these new accreditation standards to further integrate and expand existing tools and initiatives to reduce health care disparities and address health-related social needs (HRSNs)., Initiatives and Tools: A combination of existing data tools (for example, Primary Care Equity Dashboard), resource tools (for example, Assessing Circumstances and Offering Resources for Needs tool), and a care delivery approach (for example, Whole Health) are discussed as quality improvement opportunities to further integrate and expand how VHA addresses health care disparities and HRSNs. The authors detail the development timeline, building, limitations, and future plans for these tools and initiatives., Coordination of Initiatives: Responding to new health care equity Joint Commission standards led to new implementation strategies and deeper partnerships across VHA that facilitated expanded dissemination, technical assistance activities, and additional resources for VHA facilities to meet new standards and improve health care equity for veterans. Health care systems may learn from VHA's experiences, which include building actionable data platforms, employing user-centered design for initiative development and iteration, designing wide-reaching dissemination strategies for tools, and recognizing the importance of providing technical assistance for stakeholders., Future Directions: VHA continues to expand implementation of a diverse set of tools and resources to reduce health care disparities and identify and address unmet individual veteran HRSNs more widely and effectively., (Published by Elsevier Inc.)

Background: Health care organizations, including the Veterans Health Administration (VHA), are increasingly adopting programs to address social determinants of health. As part of a comprehensive social risk screening and referral model, tailored resource guides can support efforts to address unmet social needs. However, limited guidance is available on best practices for the development of resource guides in health care settings., Observations: This article describes the development of geographically tailored resource guides for a national VHA quality improvement initiative, Assessing Circumstances and Offering Resources for Needs (ACORN), which aims to systematically screen for and address social needs among veterans. We outline the rationale for using resource guides as a social needs intervention and provide a pragmatic framework for resource guide development and maintenance. We offer guidance based on lessons learned from the development of ACORN resource guides, emphasizing a collaborative approach with VHA social workers and other frontline clinical staff, as well as with community-based organizations. Our how-to guide provides steps for identifying high-yield resources along with formatting considerations to maximize accessibility and usability among patients., Conclusions: Resource guides can serve as a valuable cross-cutting component of health care organizations' efforts to address social needs. We provide a practical approach to resource guide development that may support successful implementation within the VHA and other clinical settings., Competing Interests: Author disclosures: The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article., (Copyright © 2024 Frontline Medical Communications Inc., Parsippany, NJ, USA.)

The Veterans Health Administration uses equity- and evidence-based principles to examine, correct, and eliminate use of potentially biased clinical equations and predictive models. We discuss the processes, successes, challenges, and next steps in four examples. We detail elimination of the race modifier for estimated kidney function and discuss steps to achieve more equitable pulmonary function testing measurement. We detail the use of equity lenses in two predictive clinical modeling tools: Stratification Tool for Opioid Risk Mitigation (STORM) and Care Assessment Need (CAN) predictive models. We conclude with consideration of ways to advance racial health equity in clinical decision support algorithms., (© Justin M. List et al., 2023; Published by Mary Ann Liebert, Inc.)

Background: The Department of Veterans Affairs (VA) healthcare system routinely screens Veterans for food insecurity, housing instability, and intimate partner violence, but does not systematically screen for other health-related social needs (HRSNs)., Objectives: To (1) develop a process for systematically identifying and addressing Veterans' HRSNs, (2) determine reported prevalence of HRSNs, and (3) assess the acceptability of HRSN screening among Veterans., Design: "Assessing Circumstances and Offering Resources for Needs" (ACORN) is a Veteran-tailored HRSN screening and referral quality improvement initiative. Veterans were screened via electronic tablet for nine HRSNs (food, housing, utilities, transportation, legal needs, social isolation, interpersonal violence, employment, and education) and provided geographically tailored resource guides for identified needs. Two-week follow-up interviews with a purposive sample of Veterans explored screening experiences., Participants: Convenience sample of Veterans presenting for primary care at a VA urban women's health clinic and suburban community-based outpatient clinic (October 2019-May 2020)., Main Measures: Primary outcomes included prevalence of HRSNs, Veteran-reported acceptability of screening, and use of resources guides. Data were analyzed using descriptive statistics, chi-square tests, and rapid qualitative analysis., Key Results: Of 268 Veterans screened, 50% reported one or more HRSNs. Social isolation was endorsed most frequently (29%), followed by educational needs (19%), interpersonal violence (12%), housing instability (9%), and utility concerns (7%). One in five Veterans reported at least one form of material hardship. In follow-up interviews (n = 15), Veterans found screening acceptable and felt VA should continue screening. No Veterans interviewed had contacted recommended resources at two-week follow-up, although several planned to use resource guides in the future., Conclusion: In a VA HRSN screening and referral program, Veterans frequently reported HRSNs, felt screening was important, and thought VA should continue to screen for these needs. Screening for HRSNs is a critical step towards connecting patients with services, identifying gaps in service delivery, and informing future resource allocation., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Objective: We evaluated the effectiveness of remote foot temperature monitoring (RTM) in the Veterans Affairs health care system., Research Design and Methods: We conducted a retrospective cohort study that included 924 eligible patients enrolled in RTM between 2019 and 2021 who were matched up to 3:1 to 2,757 nonenrolled comparison patients. We used conditional Cox regression to estimate adjusted cause-specific hazard ratios (aHRs) and corresponding 95% CIs for lower-extremity amputation (LEA) as the primary outcome and all-cause hospitalization and death as secondary outcomes., Results: RTM was not associated with LEA incidence (aHR 0.92, 95% CI 0.62-1.37) or all-cause hospitalization (aHR 0.97, 95% CI 0.82-1.14) but was inversely associated (reduced risk) with death (aHR 0.63, 95% CI 0.49-0.82)., Conclusions: This study does not provide support that RTM reduces the risk of LEA or all-cause hospitalization in individuals with a history of diabetic foot ulcer. Randomized controlled trials can overcome important limitations., (© 2023 by the American Diabetes Association.)

Background: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes., Objective: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA., Methods: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities., Key Results: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps., Conclusions: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Introduction: Uterine fibroids are common, nonmalignant tumors that disproportionately impact Black patients. We aimed to examine Black and White differences in receipt of any treatment and type of first treatment in the Department of Veterans Affairs, including effect modification by severity as approximated by anemia., Methods: We used Department of Veterans Affairs administrative data to identify 5,041 Black and 3,206 White veterans with symptomatic uterine fibroids, identified by International Classification of Diseases, 9th edition, Clinical Modification, codes, between fiscal year 2010 and fiscal year 2012 and followed in the administrative data through fiscal year 2018 for outcomes. Outcomes included receipt of any treatment, hysterectomy as first treatment, and fertility-sparing treatment as first treatment. We stratified all analyses by age (<45, ≥45 years old), used generalized linear models with a log link and Poisson error distribution, included an interaction term between race and anemia, and used recycled predictions to estimate adjusted percentages for outcomes., Results: There was evidence of effect modification by anemia for receipt of any treatment but not for any other outcomes. Across age and anemia sub-groups, Black veterans were less likely to receive any treatment than White veterans. Adjusted racial differences were most pronounced among veterans with anemia (<45 years, Black-White difference = -10.3 percentage points; 95% confidence interval, -15.9 to -4.7; ≥45 years, Black-White difference = -20.3 percentage points; 95% confidence interval, -27.8 to -12.7). Across age groups, Black veterans were less likely than White veterans to have hysterectomy and more likely to have a fertility-sparing treatment as their first treatment., Conclusions: We identified significant Black-White disparities in receipt of treatment for symptomatic uterine fibroids. Additional research that centers the experiences of Black veterans with uterine fibroids is needed to inform strategies to eliminate racial disparities in uterine fibroid care., (Published by Elsevier Inc.)

As novel coronavirus 2019 disease (COVID-19) began to spread across the United States in early 2020, health care systems faced extreme demands on resources. As the country's largest single-payer health care system, the U.S. Department of Veterans Affairs (VA) was uniquely positioned to study how the virus impacted different communities and work to improve care provided to all. Early on, a literature review of prior epidemics revealed that occupational exposures and an inability to socially distance could impact some groups more than others. The VA's Office of Health Equity leveraged a general sense of community to create a collaborative research space and a dedicated analytic space to inform pandemic operations. VA researchers and operations staff were able to quickly share information and respond to updates to produce accurate and reliable publications for medical professionals and the general public. Partnerships with VA Medical Centers and Veteran Service Organizations helped to increase communication across the nation and determine the most critical needs. Although COVID-19 was dynamic in nature, VA's intentional examination of social and structural factors was crucial in informing a more equitable approach. Moving forward, these inequities must be intentionally addressed in future pandemic responses., Competing Interests: No competing financial interests exist., (© Sarah C. Leder et al., 2023; Published by Mary Ann Liebert, Inc.)

Objective: Evaluate self-reported electronic screening ( eScreening ) in a VA Transition Care Management Program (TCM) to improve the accuracy and completeness of administrative ethnicity and race data., Materials and Methods: We compared missing, declined, and complete (neither missing nor declined) rates between (1) TCM-eScreening (ethnicity and race entered into electronic tablet directly by patient using eScreening), (2) TCM-EHR (Veteran-completed paper form plus interview, data entered by staff), and (3) Standard-EHR (multiple processes, data entered by staff). The TCM-eScreening ( n  = 7113) and TCM-EHR groups ( n  = 7113) included post-9/11 Veterans. Standard-EHR Veterans included all non-TCM Gulf War and post-9/11 Veterans at VA San Diego ( n  = 92 921)., Results: Ethnicity : TCM-eScreening had lower rates of missingness than TCM-EHR and Standard-EHR (3.0% vs 5.3% and 8.6%, respectively, P  < .05), but higher rates of "decline to answer" (7% vs 0.5% and 1.2%, P  < .05). TCM-EHR had higher data completeness than TCM-eScreening and Standard-EHR (94.2% vs 90% and 90.2%, respectively, P  < .05). Race : No differences between TCM-eScreening and TCM-EHR for missingness (3.5% vs 3.4%, P  > .05) or data completeness (89.9% vs 91%, P  > .05). Both had better data completeness than Standard-EHR ( P  < .05), which despite the lowest rate of "decline to answer" (3%) had the highest missingness (10.3%) and lowest overall completeness (86.6%). There was strong agreement between TCM-eScreening and TCM-EHR for ethnicity (Kappa = .92) and for Asian, Black, and White Veteran race (Kappas = .87 to .97), but lower agreement for American Indian/Alaska Native (Kappa = .59) and Native Hawaiian/Other Pacific Islander (Kappa = .50) Veterans., Conculsions: eScreening is a promising method for improving ethnicity and race data accuracy and completeness in VA., Competing Interests: None declared., (Published by Oxford University Press on behalf of the American Medical Informatics Association 2023.)

Objectives: The Advisory Committee on Immunization Practices recommends persons aged ≥6 months receive an influenza vaccination annually, and certain adults aged ≥19 years receive the 23-valent pneumococcal polysaccharide vaccine alone or in series with the 13-valent pneumococcal conjugate vaccine, depending on age, chronic conditions, and smoking status. This study examines the prevalence of influenza and pneumococcal vaccination relative to Healthy People 2020 goals to understand how vaccination receipt differs by veteran status and sociodemographic subgroups., Methods: We analyzed pooled data from the 2016-2018 National Health Interview Survey (N = 35 094) in 2021 to estimate the prevalence of influenza and pneumococcal vaccination for men aged 25-64 years and for men aged ≥65 years by veteran status and selected sociodemographic subgroups. We used 2-tailed t tests with an α = .05 to identify significant differences., Results: Among men, 44.7% of veterans and 33.5% of nonveterans aged 25-64 years and 71.0% of veterans and 64.9% of nonveterans aged ≥65 years received an influenza vaccine in the past year. Among men aged 25-64 years at high risk for pneumococcal disease, 35.9% of veterans and 20.8% of nonveterans had ever received ≥1 dose of any pneumococcal vaccination. Disparities in the prevalence of vaccination within examined sociodemographic characteristics were often smaller in magnitude among veterans than among nonveterans for both vaccinations., Conclusions: Vaccination rates were below Healthy People 2020 targets for both groups, except influenza vaccination among veterans aged ≥65 years. Understanding differences in vaccine uptake may inform efforts to improve vaccination rates by identifying subgroups who are at high risk of disease and have low vaccination rates.

Identifying and addressing social risks and social needs in healthcare settings is an important step towards achieving health equity. Assessing Circumstances and Offering Resources for Needs (ACORN) is a Department of Veterans Affairs (VA) social risk screening and referral model that aims to systematically identify and address social needs. Since initial piloting in 2018, our team has collaborated with clinical and operations partners to implement ACORN across multiple VA clinical settings while adapting and tailoring the initiative to meet the needs of different populations, specialties, and individuals administering screening. Given ACORN's complexity as a growing initiative with multiple partners and frequent real-time modifications within a large national healthcare system, we recognized a need to systematically document the rationale and process of adaptations over time. We looked to three implementation frameworks-RE-AIM, the Adaptome, and FRAME-to describe the rationale for adaptations, the nature of and context within which adaptations were made, and the details of each adaptation. In this manuscript, we uniquely interweave these three frameworks to document adaptations to ACORN across diverse VA clinical settings, with a focus on how adaptations support the promotion of heath equity in the Veteran population., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Cohen, Russell, Elwy, Mitchell, Cornell, Silva, Moy and Kennedy.)

Purpose: Marginalized communities have been disproportionally impacted by SARS-CoV-2. How the associations between social determinants of health and the risk of SARS-CoV-2 infection shifted across time is unknown. In this evaluation, we examine individual-level social determinants of health as social risk factors for SARS-CoV-2 infection across the first 12 months of the pandemic among US Veterans., Methods: We conducted a retrospective cohort analysis of 946,358 Veterans who sought testing or treatment for SARS-CoV-2 infection in U.S. Department of Veterans Affairs medical facilities. We estimated risk ratios for testing positive by social risk factors, adjusting for demographics, comorbidities, and time. Adjusted models were stratified by pandemic phase to assess temporal fluctuations in social risks., Results: Approximately 19% of Veterans tested positive for SARS-CoV-2. Larger household size was a persistent risk factor and this association increased over time. Early in the pandemic, lower county-level population density was associated with lower SARS-CoV-2 infection risk, but between June 1 and August 31, 2020, this trend reversed., Conclusions: Temporal fluctuations in social risks associated with Veterans' SARS-CoV-2 infection suggest the need for ongoing, real-time tracking as the social and medical environment continues to evolve., (Published by Elsevier Inc.)

As many health systems have been working to become high-reliability organizations (HROs), health equity has been largely absent from discussions and applications of HRO principles. This is a serious oversight. Disparities in health and health care represent systematic failures to achieve reliable outcomes for certain groups. Acceptance of disparities is antithetical to the essential HRO goal of "zero harm." We propose adding Equity to HROs in the most literal sense by designating it as a key component and achieving High Equity Reliability Organizations. We describe how equity should be a crucial element of all 5 HRO core concepts: sensitivity to operations, preoccupation with failure, deference to expertise, resilience, and reluctance to simplify., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: Conflict-of-Interest Disclosures: None to disclose.

Whether requiring Graduate Record Examinations (GRE) results for doctoral applicants affects the diversity of admitted cohorts remains uncertain. This study randomized applications to 2 population-health doctoral programs at the University of California San Francisco to assess whether masking reviewers to applicant GRE results differentially affects reviewers' scores for underrepresented minority (URM) applicants from 2018-2020. Applications with GRE results and those without were randomly assigned to reviewers to designate scores for each copy (1-10, 1 being best). URM was defined as self-identification as African American/Black, Filipino, Hmong, Vietnamese, Hispanic/Latinx, Native American/Alaska Native, or Native Hawaiian/Other Pacific Islander. We used linear mixed models with random effects for the applicant and fixed effects for each reviewer to evaluate the effect of masking the GRE results on the overall application score and whether this effect differed by URM status. Reviewer scores did not significantly differ for unmasked versus masked applications among non-URM applicants (β = 0.15; 95% CI: -0.03, 0.33) or URM applicants (β = 0.02, 95% CI: -0.49, 0.54). We did not find evidence that removing GREs differentially affected URM compared with non-URM students (β for interaction = -0.13, 95% CI: -0.55, 0.29). Within these doctoral programs, results indicate that GRE scores neither harm nor help URM applicants., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration's (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.

Objectives-This report describes the prevalence of multiple (two or more) chronic conditions (MCC) among veterans and nonveterans and examines whether differences by veteran status may be explained by differences in sociodemographic composition, smoking behavior, and weight status based on body mass index. Methods-Data from the 2015-2018 National Health Interview Survey were used to estimate the prevalence of MCC among adults aged 25 and over by veteran status and sex. Estimates (age-stratified and age-adjusted) were also presented by race and Hispanic origin, educational attainment, poverty status, smoking status, and weight status. Multivariate logistic regression models examined the odds of MCC by veteran status after age stratification (65 and over or under 65) and further adjustment for age and other covariates. Results-Among adults aged 25 and over, age-adjusted prevalence of MCC was higher among veterans compared with nonveterans for both men and women (22.2% compared with 17.0% for men aged 25-64, 66.9% compared with 61.9% for men aged 65 and over, 25.4% compared with 19.6% among women aged 25-64, and 74.1% compared with 61.8% among women aged 65 and over). Following stratification by age and adjustment for selected sociodemographic characteristics, the prevalence of MCC remained higher among veterans compared with nonveterans for both men and women. After further adjustment for smoking status and weight status, differences in the prevalence of MCC by veteran status were reduced but remained statistically significant, with the exception of men aged 65 and over., (All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.)

Objective: Geographic and racial/ethnic disparities related to diabetes control and treatment have not previously been examined at the national level., Research Design and Methods: A retrospective cohort study was conducted in a national cohort of 1,140,634 veterans with diabetes, defined as two or more diabetes ICD-9 codes (250.xx) across inpatient and outpatient records. Main exposures of interest included 125 Veterans Administration Medical Center (VAMC) catchment areas as well as racial/ethnic group. The main outcome measure was HbA 1c level dichotomized at ≥8.0% (≥64 mmol/mol)., Results: After adjustment for age, sex, racial/ethnic group, service-connected disability, marital status, and the van Walraven Elixhauser comorbidity score, the prevalence of uncontrolled diabetes varied by VAMC catchment area, with values ranging from 19.1% to 29.2%. Moreover, these differences largely persisted after further adjusting for medication use and adherence as well as utilization and access metrics. Racial/ethnic differences in diabetes control were also noted. In our final models, compared with non-Hispanic Whites, non-Hispanic Blacks (odds ratio 1.11 [95% credible interval 1.09-1.14]) and Hispanics (1.36 [1.09-1.14]) had a higher odds of uncontrolled HBA 1c level., Conclusions: In a national cohort of veterans with diabetes, we found geographic as well as racial/ethnic differences in diabetes control rates that were not explained by adjustment for demographics, comorbidity burden, use or type of diabetes medication, health care utilization, access metrics, or medication adherence. Moreover, disparities in suboptimal control appeared consistent across most, but not all, VAMC catchment areas, with non-Hispanic Black and Hispanic veterans having a higher odds of suboptimal diabetes control than non-Hispanic White veterans., (© 2020 by the American Diabetes Association.)

For the period 2007-17 rural death rates were higher than urban rates for the seven major causes of death analyzed, and disparities widened for five of the seven. In 2017 urban areas had met national targets for three of the seven causes, while rural areas had met none of the targets.

Introduction: Established by the Affordable Care Act, the National Quality Strategy (NQS) is the national policy goals aimed at improving the quality of health care for all Americans. The NQS established six priorities to provide better, more affordable care for individuals and communities. This is the first analysis of data on the NQS and access measures that focus on sex differences, health conditions, trends, and disparities., Methods: Measures from the 2015 National Healthcare Quality and Disparities Report (QDR) for the four National Quality Strategy priorities (Patient Safety, Person Centered Care, Effective Treatment, and Healthy Living), access to care, and health conditions for women were compared to measures for men. Trends were analyzed for women by health condition and the four NQS priorities and access to care. Baseline year (2000-2002) and most current year (2012-2013) were compared to assess disparity trends. All non-institutionalized women and men in the U.S. over the age of 18 were included in the sample., Results: Disparities between males and females for the four NQS priority and access measures did not change for 83 percent of measures (n=81); disparities remained constant. The greatest improvement over time for females from the baseline year was in the patient safety measures (3.66 percent increase per year). Access of care measures showed the least amount of improvement with a median change of -1.20 percent per year. The greatest improvement in quality of care by health condition was amongst chronic kidney disease (11.95 median percent change) and HIV/AIDS (6.63 median percent change) measures. Behavioral health measures showed the least amount of improvement with a median change of -0.33 percent per year., Conclusions: This analysis highlights cardiovascular disease, behavioral health, and access to care as problem areas for women that require immediate attention. It is of concern that 83% of the measures showed a persistent disparity over time between men and women. These results indicate that there is room for improving the quality of healthcare received by women and reducing sex-based disparities experienced by women in the healthcare delivery system., (Copyright © 2017 Jacobs Institute of Women's Health. All rights reserved.)

Objectives: As sepsis hospitalizations have increased, in-hospital sepsis deaths have declined. However, reported rates may remain higher among racial/ethnic minorities. Most previous studies have adjusted primarily for age and sex. The effect of other patient and hospital characteristics on disparities in sepsis mortality is not yet well-known. Furthermore, coding practices in claims data may influence findings. The objective of this study was to use a broad method of capturing sepsis cases to estimate 2004-2013 trends in risk-adjusted in-hospital sepsis mortality rates by race/ethnicity to inform efforts to reduce disparities in sepsis deaths., Design: Retrospective, repeated cross-sectional study., Setting: Acute care hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases for 18 states with consistent race/ethnicity reporting., Patients: Patients diagnosed with septicemia, sepsis, organ dysfunction plus infection, severe sepsis, or septic shock., Measurements and Main Results: In-hospital sepsis mortality rates adjusted for patient and hospital factors by race/ethnicity were calculated. From 2004 to 2013, sepsis hospitalizations for all racial/ethnic groups increased, and mortality rates decreased by 5-7% annually. Mortality rates adjusted for patient characteristics were higher for all minority groups than for white patients. After adjusting for hospital characteristics, sepsis mortality rates in 2013 were similar for white (92.0 per 1,000 sepsis hospitalizations), black (94.0), and Hispanic (93.5) patients but remained elevated for Asian/Pacific Islander (106.4) and "other" (104.7; p < 0.001) racial/ethnic patients., Conclusions: Our results indicate that hospital characteristics contribute to higher rates of sepsis mortality for blacks and Hispanics. These findings underscore the importance of ensuring that improved sepsis identification and management is implemented across all hospitals, especially those serving diverse populations.

While there is a long history and tradition of behavioral research on basic motor skills in Down syndrome (DS), there has been only limited research on handwriting ability. We analyzed the spatiotemporal features of handwriting produced by children and adults with DS (n = 24), and compared their productions with those of comparison groups matched for developmental (n = 24) or chronological (n = 24) age. Results indicated that the participants with DS performed an alphabet letter-writing task just as efficiently as the children of the same developmental age, in terms of the length, duration and speed of their handwriting, and the number and duration of their pauses. Our study highlights a substantial delay in the stages of writing acquisition.

Objective: In 2006, the American College of Surgeons' Committee on Trauma and the Centers for Disease Control and Prevention released field triage guidelines with special consideration for older adults. Additional considerations for direct transport to a Level I or II trauma center (TC) were added in 2011, reflecting perceived undertriage to TCs for older adults. We examined whether age-based disparities in TC care for severe head injury decreased following introduction of the 2011 revisions., Methods: A pre-post design analyzing the 2009 and 2012 Healthcare Cost and Utilization Project State Emergency Department Databases and State Inpatient Databases with multivariable logistic regressions considered changes in 1) the trauma designation of the emergency department where treatment was initiated and 2) transfer to a TC following initial treatment at a non-TC., Results: Compared with adults aged 18 to 44 years, after multivariable adjustment, in both years TC care was less likely for adults aged 45 to 64 years (odds ratio [OR] = 0.76 in 2009 and 0.74 in 2012), aged 65 to 84 years (OR = 0.61 and 0.59), and aged 85+ years (OR = 0.53 and 0.56). Between 2009 and 2012, the likelihood of TC care increased for all age groups, with the largest increase among those aged 85+ years (OR = 1.18), which was statistically different (p = 0.02) from the increase among adults aged 18 to 44 years (OR = 1.12). The analysis of transfers yielded similar results., Conclusions: Although patterns of increased TC treatment for all groups with severe head trauma indicate improvements, age-based disparities persisted., (© 2016 by the Society for Academic Emergency Medicine.)

Background: Because managed care is increasingly prevalent in health care finance and delivery, it is important to ascertain its effects on health care quality relative to that of fee-for-service plans. Some stakeholders are concerned that basing gatekeeping, provider selection, and utilization management on cost may lower quality of care. To date, research on this topic has been inconclusive, largely because of variation in research methods and covariates. Patient age has been the only consistently evaluated outcome predictor. This study provides a comprehensive assessment of the association between managed care and inpatient mortality for Medicare and privately insured patients., Methods: A cross-sectional design was used to examine the association between managed care and inpatient mortality for four common inpatient conditions. Data from the 2009 Healthcare Cost and Utilization Project State Inpatient Databases for 11 states were linked to data from the American Hospital Association Annual Survey Database. Hospital discharges were categorized as managed care or fee for service. A phased approach to multivariate logistic modeling examined the likelihood of inpatient mortality when adjusting for individual patient and hospital characteristics and for county fixed effects., Results: Results showed different effects of managed care for Medicare and privately insured patients. Privately insured patients in managed care had an advantage over their fee-for-service counterparts in inpatient mortality for acute myocardial infarction, stroke, pneumonia, and congestive heart failure; no such advantage was found for the Medicare managed care population. To the extent that the study showed a protective effect of privately insured managed care, it was driven by individuals aged 65 years and older, who had consistently better outcomes than their non-managed care counterparts., Conclusions: Privately insured patients in managed care plans, especially older adults, had better outcomes than those in fee-for-service plans. Patients in Medicare managed care had outcomes similar to those in Medicare FFS. Additional research is needed to understand the role of patient selection, hospital quality, and differences among county populations in the decreased odds of inpatient mortality among patients in private managed care and to determine why this result does not hold for Medicare.

Problem/condition: Higher rates of death in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas have been described but not systematically assessed., Period Covered: 1999-2014 DESCRIPTION OF SYSTEM: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate age-adjusted death rates and potentially excess deaths for nonmetropolitan and metropolitan areas for the five leading causes of death. Age-adjusted death rates included all ages and were adjusted to the 2000 U.S. standard population by the direct method. Potentially excess deaths are defined as deaths among persons aged <80 years that exceed the numbers that would be expected if the death rates of states with the lowest rates (i.e., benchmark states) occurred across all states. (Benchmark states were the three states with the lowest rates for each cause during 2008-2010.) Potentially excess deaths were calculated separately for nonmetropolitan and metropolitan areas. Data are presented for the United States and the 10 U.S. Department of Health and Human Services public health regions., Results: Across the United States, nonmetropolitan areas experienced higher age-adjusted death rates than metropolitan areas. The percentages of potentially excess deaths among persons aged <80 years from the five leading causes were higher in nonmetropolitan areas than in metropolitan areas. For example, approximately half of deaths from unintentional injury and chronic lower respiratory disease in nonmetropolitan areas were potentially excess deaths, compared with 39.2% and 30.9%, respectively, in metropolitan areas. Potentially excess deaths also differed among and within public health regions; within regions, nonmetropolitan areas tended to have higher percentages of potentially excess deaths than metropolitan areas., Interpretation: Compared with metropolitan areas, nonmetropolitan areas have higher age-adjusted death rates and greater percentages of potentially excess deaths from the five leading causes of death, nationally and across public health regions., Public Health Action: Routine tracking of potentially excess deaths in nonmetropolitan areas might help public health departments identify emerging health problems, monitor known problems, and focus interventions to reduce preventable deaths in these areas.

PF-06651600, a newly discovered potent JAK3-selective inhibitor, is highly efficacious at inhibiting γc cytokine signaling, which is dependent on both JAK1 and JAK3. PF-06651600 allowed the comparison of JAK3-selective inhibition to pan-JAK or JAK1-selective inhibition, in relevant immune cells to a level that could not be achieved previously without such potency and selectivity. In vitro, PF-06651600 inhibits Th1 and Th17 cell differentiation and function, and in vivo it reduces disease pathology in rat adjuvant-induced arthritis as well as in mouse experimental autoimmune encephalomyelitis models. Importantly, by sparing JAK1 function, PF-06651600 selectively targets γc cytokine pathways while preserving JAK1-dependent anti-inflammatory signaling such as the IL-10 suppressive functions following LPS treatment in macrophages and the suppression of TNFα and IL-1β production in IL-27-primed macrophages. Thus, JAK3-selective inhibition differentiates from pan-JAK or JAK1 inhibition in various immune cellular responses, which could potentially translate to advantageous clinical outcomes in inflammatory and autoimmune diseases.

Background: Often patients who present to the emergency department (ED) with chest symptoms return to the hospital within 30 days with the same or closely related symptoms and are admitted, raising questions about quality of care, timeliness of diagnosis, and patient safety. This study examined the frequency of and patient characteristics associated with subsequent inpatient admissions for related symptoms after discharge from an ED for chest symptoms., Methods: We used data from the 2012 and 2013 Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) and State Emergency Department Databases (SEDD) from eight states to identify over 1.8 million ED discharges for chest symptoms., Results: Approximately 3% of ED discharges experienced potentially related subsequent admissions within 30 days - 0.2% for acute myocardial infarction (AMI), 1.7% for other cardiovascular conditions, 0.5% for respiratory conditions, and 0.6% for mental disorders. Logistic regression results showed higher odds of subsequent admission for older patients and those residing in low-income areas, and lower odds for females and non White racial/ethnic groups. Privately insured patients had lower odds of subsequent admission than did those who were uninsured or covered by other programs., Conclusions: Because we included multiple diagnostic categories of subsequent admissions, our results show a more complete picture of patients presenting to the ED with chest symptoms compared with previous studies. In particular, we show a lower rate of subsequent admission for AMI versus other diagnoses. ED physicians and administrators can use the results to identify characteristics associated with increased odds of subsequent admission to target at-risk populations.

Electrochemical devices such as fuel cells, electrolyzers, lithium-air batteries, and pseudocapacitors are expected to play a major role in energy conversion/storage in the near future. Here, it is demonstrated how desirable bulk metallic glass compositions can be obtained using a combinatorial approach and it is shown that these alloys can serve as a platform technology for a wide variety of electrochemical applications through several surface modification techniques., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Background: The presence of multiple chronic conditions (MCCs) complicates inpatient hospital care, leading to higher costs and utilization. Multimorbidity also complicates primary care, increasing the likelihood of hospitalization for ambulatory care sensitive conditions. The purpose of this study was to evaluate how MCCs relate to inpatient hospitalization costs and utilization for ambulatory care sensitive conditions., Methods: The 2012 Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) provided data to carry out a cross-sectional analysis of 1.43 million claims related to potentially preventable hospitalizations classified by the AHRQ Prevention Quality Indicator (PQI) composites. Categories of MCCs (0-1, 2-3, 4-5, and 6+) were examined in sets of acute, chronic, and overall PQIs. Multivariate models determined associations between categories of MCCs and 1) inpatient costs per stay, 2) inpatient costs per day, and 3) length of inpatient hospitalization. Negative binomial was used to model costs per stay and costs per day., Results: The most common category observed was 2 or 3 chronic conditions (37.8 % of patients), followed by 4 or 5 chronic conditions (30.1 % of patients) and by 6+ chronic conditions (10.1 %). Compared with costs for patients with 0 or 1 chronic condition, hospitalization costs per stay for overall ambulatory care sensitive conditions were 19 % higher for those with 2 or 3 (95 % confidence interval [CI] 1.19-1.20), 32 % higher for those with 4 or 5 (95 % CI 1.31-1.32), and 31 % higher (95 % CI 1.30-3.32) for those with 6+ conditions. Acute condition stays were 11 % longer when 2 or 3 chronic conditions were present (95 % CI 1.11-1.12), 21 % longer when 4 or 5 were present (95 % CI 1.20-1.22), and 27 % longer when 6+ were present (95 % CI 1.26-1.28) compared with those with 0 or 1 chronic condition. Similar results were seen within chronic conditions. Associations between MCCs and total costs were driven by longer stays among those with more chronic conditions rather than by higher costs per day., Conclusions: The presence of MCCs increased inpatient costs for ambulatory care sensitive conditions via longer hospital stays.

Cell culture is a technique that requires vigilance from the researcher. Common cell culture problems, including contamination with microorganisms or cells from other cultures, can place the reliability and reproducibility of cell culture work at risk. Here we use survey data, contributed by research scientists based in Australia and New Zealand, to assess common cell culture risks and how these risks are managed in practice. Respondents show that sharing of cell lines between laboratories continues to be widespread. Arrangements for mycoplasma and authentication testing are increasingly in place, although scientists are often uncertain how to perform authentication testing. Additional risks are identified for preparation of frozen stocks, storage and shipping., (© 2015 UICC.)

Study Objective: Duration of a stay in an emergency department (ED) is considered a measure of quality, but current measures average lengths of stay across all conditions. Previous research on ED length of stay has been limited to a single condition or a few hospitals. We use a census of one state's data to measure length of ED stays by patients' conditions and dispositions and explore differences between means and medians as quality metrics., Methods: The data source was the Healthcare Cost and Utilization Project 2011 State Emergency Department Databases and State Inpatient Databases for Florida. Florida is unique in collecting ED length of stay for both released and admitted patients. Clinical Classifications Software was used to group visits based on first-listed International Classification of Disease, Ninth Edition, Clinical Modification, diagnoses., Results: For the 10 most common diagnoses, patients with relatively minor injuries typically required the shortest mean stay (3 hours or less); conditions resulting in admission or transfer tended to be more serious, resulting in longer stays. Patients requiring the longest stays, by disposition, had discharge diagnoses of nonspecific chest pain (mean 7.4 hours among discharged patients), urinary tract infections (4.8 hours among admissions), and schizophrenia (9.6 hours among transfers) among the top 10 diagnoses., Conclusion: Emergency department length of stay as a measure of ED quality should take into account the considerable variation by condition and disposition of the patient. Emergency department length of stay measurement could be improved in the United States by standardizing its definition; distinguishing visits involving treatment, observation, and boarding; and incorporating more distributional information., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objective: To determine if there are disparities between White and Black inpatient mortality rates for specific medical and surgical conditions and whether disparities vary by patient and hospital subgroups., Design, Setting, Participants: All-payer discharge records in the 2009 Healthcare Cost and Utilization Project, State Inpatient Databases (SID) for 36 states that comprised about 80% of the Black and White populations in the United States were used to create a random, stratified sample of about 1,900 community hospitals (a 40% sample of US hospitals). All discharges in the hospitals were included and weighted for national estimates., Main Outcome Measures: Inpatient Quality Indicators, developed by the Agency for Healthcare Research and Quality, were used to measure risk-adjusted hospital mortality for six medical conditions and four surgeries. National estimates compared non-Hispanic Whites to Blacks by patient and hospital characteristics., Results: Blacks had lower mortality for all medical conditions compared to Whites. However, they had higher mortality rates for two surgical procedures (coronary artery bypass graft and craniotomy) and lower mortality for one surgery (abdominal aortic anuerysm repair). These patterns held for most, though not all, patient and hospital subgroups for medical conditions, but disparities typically varied by subgroup for surgeries., Conclusions: Policymakers and researchers may use these findings in targeting interventions, designing quality reporting programs and designing studies on why the disparities exist and how to reduce them.

Background: An estimated 1.2 million people in the US have an acute myocardial infarction (AMI) each year. An estimated 7% of AMI hospitalizations result in death. Most patients experiencing acute coronary symptoms, such as unstable angina, visit an emergency department (ED). Some patients hospitalized with AMI after a treat-and-release ED visit likely represent missed opportunities for correct diagnosis and treatment. The purpose of the present study is to estimate the frequency of missed AMI or its precursors in the ED by examining use of EDs prior to hospitalization for AMI., Methods: We estimated the rate of probable missed diagnoses in EDs in the week before hospitalization for AMI and examined associated factors. We used Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases for 2007 to evaluate missed diagnoses in 111,973 admitted patients aged 18 years and older., Results: We identified missed diagnoses in the ED for 993 of 112,000 patients (0.9% of all AMI admissions). These patients had visited an ED with chest pain or cardiac conditions, were released, and were subsequently admitted for AMI within 7 days. Higher odds of having missed diagnoses were associated with being younger and of Black race. Hospital teaching status, availability of cardiac catheterization, high ED admission rates, high inpatient occupancy rates, and urban location were associated with lower odds of missed diagnoses., Conclusions: Administrative data provide robust information that may help EDs identify populations at risk of experiencing a missed diagnosis, address disparities, and reduce diagnostic errors.

Patients with limited English proficiency have known limitations accessing health care, but differences in hospital outcomes once access is obtained are unknown. We investigate inpatient mortality rates and obstetric trauma for self-reported speakers of English, Spanish, and languages of Asia and the Pacific Islands (API) and compare quality of care by language with patterns by race/ethnicity. Data were from the United States Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, 2009 State Inpatient Databases for California. There were 3,757,218 records. Speaking a non-English principal language and having a non-White race/ethnicity did not place patients at higher risk for inpatient mortality; the exception was significantly higher stroke mortality for Japanese-speaking patients. Patients who spoke API languages or had API race/ethnicity had higher risk for obstetric trauma than English-speaking White patients. Spanish-speaking Hispanic patients had more obstetric trauma than English-speaking Hispanic patients. The influence of language on obstetric trauma and the potential effects of interpretation services on inpatient care are discussed. The broader context of policy implications for collection and reporting of language data is also presented. Results from other countries with and without English as a primary language are needed for the broadest interpretation and generalization of outcomes.

Background: Little is known about racial and ethnic disparities in the occurrence of healthcare-associated infections (HAIs) in hospitalized patients., Objective: To determine whether racial/ethnic disparities exist in the rate of occurrence of HAIs captured in the Medicare Patient Safety Monitoring System (MPSMS)., Methods: Chart-abstracted MPSMS data from randomly selected all-payer hospital discharges of adult patients (18 years old or above) between January 1, 2009, and December 31, 2011, for 3 common medical conditions: acute cardiovascular disease (composed of acute myocardial infarction and heart failure), pneumonia, and major surgery for 6 HAI measures (hospital-acquired antibiotic-associated Clostridium difficile, central line-associated bloodstream infections, postoperative pneumonia, catheter-associated urinary tract infections, hospital-acquired methicillin-resistant Staphylococcus aureus, and ventilator-associated pneumonia)., Results: The study sample included 79,019 patients who had valid racial/ethnic information divided into 6 racial/ethnic groups-white non-Hispanic (n = 62,533), black non-Hispanic (n = 9,693), Hispanic (n = 4,681), Asian (n = 1,225), Native Hawaiian/Pacific Islander (n = 94), and other (n = 793)-who were at risk for at least 1 HAI. The occurrence rate for HAIs was 1.1% for non-Hispanic white patients, 1.3% for non-Hispanic black patients, 1.5% for Hispanic patients, 1.8% for Asian patients, 1.7% for Native Hawaiian/Pacific Islander patients, and 0.70% for other patients. Compared with white patients, the age/gender/comorbidity-adjusted odds ratios of occurrence of HAIs were 1.1 (95% confidence interval [CI], 0.99-1.23), 1.3 (95% CI, 1.15-1.53), 1.4 (95% CI, 1.07-1.75), and 0.7 (95% CI, 0.40-1.12) for black, Hispanic, Asian, and a combined group of Native Hawaiian/Pacific Islander and other patients, respectively., Conclusions: Among patients hospitalized with acute cardiovascular disease, pneumonia, and major surgery, Asian and Hispanic patients had significantly higher rates of HAIs than white non-Hispanic patients.

Background: Some cerebrovascular events are not diagnosed promptly, potentially resulting in death or disability from missed treatments. We sought to estimate the frequency of missed stroke and examine associations with patient, emergency department (ED), and hospital characteristics., Methods: Cross-sectional analysis using linked inpatient discharge and ED visit records from the 2009 Healthcare Cost and Utilization Project State Inpatient Databases and 2008-2009 State ED Databases across nine US states. We identified adult patients admitted for stroke with a treat-and-release ED visit in the prior 30 days, considering those given a non-cerebrovascular diagnosis as probable (benign headache or dizziness diagnosis) or potential (any other diagnosis) missed strokes., Results: There were 23,809 potential and 2243 probable missed strokes representing 12.7% and 1.2% of stroke admissions, respectively. Missed hemorrhages (n = 406) were linked to headache while missed ischemic strokes (n = 1435) and transient ischemic attacks (n = 402) were linked to headache or dizziness. Odds of a probable misdiagnosis were lower among men (OR 0.75), older individuals (18-44 years [base]; 45-64:OR 0.43; 65-74:OR 0.28; ≥ 75:OR 0.19), and Medicare (OR 0.66) or Medicaid (OR 0.70) recipients compared to privately insured patients. Odds were higher among Blacks (OR 1.18), Asian/Pacific Islanders (OR 1.29), and Hispanics (OR 1.30). Odds were higher in non-teaching hospitals (OR 1.45) and low-volume hospitals (OR 1.57)., Conclusions: We estimate 15,000-165,000 misdiagnosed cerebrovascular events annually in US EDs, disproportionately presenting with headache or dizziness. Physicians evaluating these symptoms should be particularly attuned to the possibility of stroke in younger, female, and non-White patients., Competing Interests: Conflict of interest statement: Authors' conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article. Research funding played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Health care is an important lever for moderating the effects of social determinants on health. We present a model that describes the relationships among social disadvantage, health-care disparities, and health disparities. Improving access to health care and enhancing patient-provider interaction are critical pathways for reducing disparities. Increasing the diversity of the public health and health-care workforces is an efficient strategy for reducing disparities because it impacts both access to care and patient-provider communication. Federal policy makers should continue interest in workforce diversity to optimize the health of all Americans.

Objectives: A serious challenge to eliminating US health disparities stems from the inability to reliably measure outcomes, particularly for numerically small populations. Our study aimed to produce reliable estimates of health care quality among Native Hawaiian (NH), Other Pacific Islander (PI), and Asian American (AA) subgroups., Design: Prevention Quality Indicators (PQIs) from the Agency for Healthcare Research and Quality were used to calculate 3 PQI composites and 8 individual chronic condition indicators. Data sources were the Healthcare Cost and Utilization Project State Inpatient Databases and the Hawaii Health Survey., Main Outcome Measures: Risk-adjusted PQI rates for adults were computed for 2005 through 2007. Relative rates for 2007 were calculated for each racial/ethnic group and compared to Whites. Statistical significance was based on P < .05 from a two-sided t test., Results: The combined AANHPI group had higher overall and chronic PQI composite rates than Whites in 2007. When disaggregated into discrete racial/ethnic subgroups, Chinese and Japanese had lower rates than Whites for all 3 composites, whereas NH and Other PI subgroups typically had the worst health outcomes. Trends in PQI rates from 2005 through 2007 showed persistent gaps between groups, especially across chronic PQIs., Conclusions: Despite recent efforts to reduce racial/ethnic health care disparities, significant gaps remain in potentially preventable hospitalization rates. Practical tools that measure inequities across diverse, numerically small populations may suggest ways to optimally funnel limited resources toward improving racial/ethnic differences in health outcomes.

Potentially preventable hospitalizations are admissions to a hospital for certain acute illnesses (e.g., dehydration) or worsening chronic conditions (e.g., diabetes) that might not have required hospitalization had these conditions been managed successfully by primary care providers in outpatient settings. Although not all such hospitalizations can be avoided, admission rates in populations and communities can vary depending on access to primary care, care-seeking behaviors, and the quality of care available. Because hospitalization tends to be costlier than outpatient or primary care, potentially preventable hospitalizations often are tracked as markers of health system efficiency. The number and cost of potentially preventable hospitalizations also can be calculated to help identify potential cost savings associated with reducing these hospitalizations overall and for specific populations.

Objective: To examine whether a social cognitive therapy (SCT) intervention increases continuous positive airway pressure (CPAP) use compared to equivalent social interaction (SI) time., Participants: Individuals with obstructive sleep apnea (OSA) referred for CPAP therapy., Intervention: Participants received a 30-min group education session regarding OSA and CPAP. Groups of three to four participants were then randomly assigned to an SCT session or social interaction., Measurements: CPAP usage was assessed at 7 nights, then 1, 3, and 6 months. The two primary outcomes were adherence, usage ≥ 4 h per night at 6 months, and uptake of CPAP. Questionnaires were given pretreatment and posttreatment., Results: Two hundred six individuals were randomized to SI (n = 97) or SCT (n = 109). CPAP uptake was not different between groups (82% in SI, 88% in SCT groups, P = 0.35). There were no differences between groups in adherence: 63-66% at 1 week, and at 6 months 55-47% (P = 0.36). Higher pretreatment apnea-hypopnea index, higher baseline self-efficacy, and use of CPAP (≥ 4 h) at 1 week were independent predictors of CPAP adherence at 6 months. CPAP adherence increased by a factor of 1.8 (odds ratio = 1.8, 95% confidence interval 1.1-3.0) for every one-unit increase in self-efficacy. There was no difference between groups postintervention in self-efficacy scores, sleepiness, mood, or sleep quality., Conclusions: In this randomized trial, a single SCT application did not increase adherence when compared with SI time. Although self-efficacy scores prior to CPAP predicted adherence, self-efficacy was not increased by the interventions. Increasing intensity and understanding of SCT interventions may be needed to improve CPAP adherence., Clinical Trials Registration: Australian New Zealand Clinical Trials Registry, ACTRN12607000424404.