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This panel paper is the second installment in a six-part Nursing Outlook special edition based on the 2022 Emory Business Case for Nursing Summit. The 2022 summit convened national nursing, health care, and business leaders to explore possible solutions to nursing workforce crises, including the nursing shortage. Each of the summit's four panels authored a paper in the special edition on their respective topic(s), and this panel paper focuses on the topic of nursing workforce growth. It discusses priority areas for academia to help ameliorate nursing shortages, including through changes to nursing curricula and/or programming, greater attention to nursing financial needs (including nursing student loans), and regulatory reforms.
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Academia , Atenção à Saúde , Humanos , Currículo , Recursos Humanos , Docentes de EnfermagemAssuntos
Transtornos Relacionados ao Uso de Opioides , Veteranos , Analgésicos Opioides/efeitos adversos , Humanos , Epidemia de Opioides , Transtornos Relacionados ao Uso de Opioides/tratamento farmacológico , Transtornos Relacionados ao Uso de Opioides/epidemiologia , Estados Unidos/epidemiologia , United States Department of Veterans Affairs , Saúde dos VeteranosAssuntos
Inovação Organizacional , United States Department of Veterans Affairs/organização & administração , Eficiência Organizacional , Humanos , Melhoria de Qualidade/organização & administração , Mecanismo de Reembolso/organização & administração , Estados Unidos , Aquisição Baseada em Valor/organização & administraçãoRESUMO
The relative lack of standards for collecting data on population subgroups has not only limited our understanding of health disparities, but also impaired our ability to develop policies to eliminate them. This article provides background about past challenges to collecting data by race/ethnicity, primary language, sex, and disability status. It then discusses how passage of the Affordable Care Act has provided new opportunities to improve data-collection standards for the demographic variables of interest and, as such, a better understanding of the characteristics of populations served by the U.S. Department of Health and Human Services (HHS). The new standards have been formally adopted by the Secretary of HHS for application in all HHS-sponsored population health surveys involving self-reporting. The new data-collection standards will not only promote the uniform collection and utilization of demographic data, but also help the country shape future programs and policies to advance public health and to reduce disparities.
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Coleta de Dados/normas , Disparidades nos Níveis de Saúde , Inquéritos Epidemiológicos/normas , Patient Protection and Affordable Care Act/legislação & jurisprudência , Pessoas com Deficiência/estatística & dados numéricos , Etnicidade/estatística & dados numéricos , Humanos , Idioma , Grupos Raciais/estatística & dados numéricos , Fatores Sexuais , Fatores Socioeconômicos , Estados Unidos , United States Dept. of Health and Human ServicesRESUMO
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.
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Veteranos , Estados Unidos , Humanos , Saúde dos Veteranos , United States Department of Veterans Affairs , Disparidades em Assistência à Saúde , Melhoria de QualidadeRESUMO
BACKGROUND: Understanding how hospitals functioned during the 2009 influenza A(H1N1)pdm09 pandemic may improve future public health emergency response, but information about its impact on US hospitals remains largely unknown. RESEARCH DESIGN: We matched hospital and emergency department (ED) discharge data from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project with community-level influenza-like illness activity during each hospital's pandemic period in fall 2009 compared with a corresponding calendar baseline period. We compared inpatient mortality for sentinel conditions at high-surge versus nonsurge hospitals. RESULTS: US hospitals experienced a doubling of pneumonia and influenza ED visits during fall 2009 compared with prior years, along with an 18% increase in overall ED visits. Although no significant increase in total inpatient admissions occurred overall, approximately 10% of all study hospitals experienced high surge, associated with higher acute myocardial infarction and stroke case fatality rates. These hospitals had similar characteristics to other US hospitals except that they had higher mortality for acute cardiac illnesses before the pandemic. After adjusting for 2008 case fatality rates, the association between high-surge hospitals and increased mortality for acute myocardial infarction and stroke patients persisted. CONCLUSIONS: The fall 2009 pandemic period substantially impacted US hospitals, mostly through increased ED visits. For a small proportion of hospitals that experienced a high surge in inpatient admissions, increased mortality from selected clinical conditions was associated with both prepandemic outcomes and surge, highlighting the linkage between daily hospital operations and disaster preparedness.
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Planejamento em Desastres , Epidemias , Hospitais/estatística & dados numéricos , Vírus da Influenza A Subtipo H1N1 , Influenza Humana/epidemiologia , Adulto , Criança , Serviço Hospitalar de Emergência/estatística & dados numéricos , Mortalidade Hospitalar , Humanos , Admissão do Paciente , Pneumonia/epidemiologia , Capacidade de Resposta ante Emergências , Estados Unidos/epidemiologiaRESUMO
Background: Within a year of the start of the COVID-19 pandemic, the US Department of Veterans Affairs (VA) was managing about 300 COVID-19-related research projects across roughly 100 facilities, which has since grown to more than 900 projects. This robust set of activities arose from an existing enterprise strategy and aimed at identifying needs for supporting the clinical care mission, more rapidly leveraging resources, and coordinating research across the VA. The VA's efforts to implement an enterprise strategy before March 2020 positioned its research community to dynamically partner with other federal agencies, academic institutions, and industry in addressing a national public health emergency. Observations: The VA research enterprise involves a broad range of functions, scientific and clinical leaders, and organizational resources to enhance the health and care of veterans and the nation. The scope of research activities enables it to support its priorities while also partnering with others who share in mutual commitments to veteran health. Moving toward being the nation's learning health care system, the VA's leadership support, staff, patient volunteers, and partners were key contributors to a national response to COVID-19. Swift action and consistent communication helped address the complexities of the pandemic and strengthened the VA's ability to prepare and mobilize for emergencies and other potential disease outbreaks. Documenting strategies and practices can enhance future opportunities aimed at addressing the most challenging health care needs while also focusing on the primary mission to serve veterans. Conclusions: The COVID-19 pandemic contributed to critical knowledge and lessons that enabled the VA to advance enterprise goals, particularly in the context of its health care system. Sharing these unique processes and experiences will inform current and future partnerships among research, clinical, and public health communities oriented to serve veterans and the nation through scientific innovation.
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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.
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Equidade em Saúde , Atenção à Saúde , Humanos , Reprodutibilidade dos TestesRESUMO
Predicting clinical risk is an important part of healthcare and can inform decisions about treatments, preventive interventions, and provision of extra services. The field of predictive models has been revolutionized over the past two decades by electronic health record data; the ability to link such data with other demographic, socioeconomic, and geographic information; the availability of high-capacity computing; and new machine learning and artificial intelligence methods for extracting insights from complex datasets. These advances have produced a new generation of computerized predictive models, but debate continues about their development, reporting, validation, evaluation, and implementation. In this review we reflect on more than 10 years of experience at the Veterans Health Administration, the largest integrated healthcare system in the United States, in developing, testing, and implementing such models at scale. We report lessons from the implementation of national risk prediction models and suggest an agenda for research.
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Inteligência Artificial , Sistema de Aprendizagem em Saúde , Atenção à Saúde , Aprendizado de Máquina , Estados Unidos , Saúde dos VeteranosAssuntos
Serviços Médicos de Emergência , United States Agency for Healthcare Research and Quality , Serviços Médicos de Emergência/economia , Serviços Médicos de Emergência/organização & administração , Medicina de Emergência/educação , Custos de Cuidados de Saúde , Pesquisa sobre Serviços de Saúde , Humanos , Segurança do Paciente , Indicadores de Qualidade em Assistência à Saúde , Qualidade da Assistência à Saúde , Estados Unidos , United States Agency for Healthcare Research and Quality/organização & administraçãoRESUMO
Resources and support provided by the Agency for Healthcare Research and Quality can help trustees reduce a number of unknown factors when tackling patient safety issues.
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Administração Hospitalar , Garantia da Qualidade dos Cuidados de Saúde/métodos , Gestão da Segurança/organização & administração , Erros Médicos/prevenção & controle , Estados UnidosRESUMO
As the largest integrated health care system in the US, the Veterans Health Administration is dedicated to continually innovating its systems, technology, and practices to provide high-quality care to US veterans. In this article, I describe the Veterans Health Administration's Diffusion of Excellence Initiative, which involves an annual, systemwide competition to recognize Department of Veterans Affairs employees and identify promising practices for implementation in other Department of Veterans Affairs facilities or Veterans Integrated Service Networks. To demonstrate the reach and impact of the initiative, I highlight practices that are being implemented in 4 areas: 1) direct scheduling, 2) access to health care in rural areas, 3) access to mental health care, and 4) interactive and patient-centered care. In addition, I outline the primary components of the current transition plan to elevate lessons learned and transform the initiative from a nascent start-up to a sustainable part of the Veterans Health Administration's culture.