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1.
Fed Pract ; 40(11 Suppl 5): S12-S17, 2023 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-38577308

RESUMO

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.

2.
Am J Med Qual ; 37(1): 81-83, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34506333

RESUMO

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.


Assuntos
Equidade em Saúde , Atenção à Saúde , Humanos , Reprodutibilidade dos Testes
7.
8.
Am J Med Qual ; 34(5): 436-438, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31479300
17.
Pediatrics ; 131 Suppl 4: S210-4, 2013 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-23729762

RESUMO

Moving significant therapeutic discoveries beyond early biomedical translation or T1 science and into practice involves: (1) T2 science, identifying "the right treatment for the right patient in the right way at the right time" (eg, patient-centered outcomes research) and tools to implement this knowledge (eg, guidelines, registries); and (2) T3 studies addressing how to achieve health care delivery change. Collaborative improvement networks can serve as large-scale, health system laboratories to engage clinicians, researchers, patients, and parents in testing approaches to translate research into practice. Improvement networks are of particular importance for pediatric T2 and T3 research, as evidence to establish safety and efficacy of therapeutic interventions in children is often lacking. Networks for improvement and research are also consistent with the Institute of Medicine's Learning Healthcare Systems model in which learning networks provide a system for improving care and outcomes and generate new knowledge in near real-time. Creation of total population registries in collaborative network sites provides large, representative study samples with high-quality data that can be used to generate evidence and to inform clinical decision-making. Networks use collaboration, data, and quality-improvement methods to standardize practice. Therefore, variation in outcomes due to unreliable and unnecessary care delivery is reduced, increasing statistical power, and allowing a consistent baseline from which to test new strategies. In addition, collaborative networks for improvement and research offer the opportunity to not only make improvements but also to study improvements to determine which interventions and combination of strategies work best in what settings.


Assuntos
Proteção da Criança , Redes Comunitárias/organização & administração , Comportamento Cooperativo , Pesquisa sobre Serviços de Saúde/organização & administração , Comunicação Interdisciplinar , Pediatria/organização & administração , Melhoria de Qualidade/organização & administração , Pesquisa Translacional Biomédica/organização & administração , Adolescente , Certificação , Criança , Pré-Escolar , Doença Crônica/terapia , Participação da Comunidade , Medicina Baseada em Evidências/organização & administração , Hospitais Pediátricos/organização & administração , Humanos , Lactente , Avaliação de Processos e Resultados em Cuidados de Saúde/organização & administração , Pais/educação , Assistência Centrada no Paciente/organização & administração , Pediatria/educação , Relações Profissional-Família , Sistema de Registros , Sociedades Médicas , Estados Unidos
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