The Leading Evaluations to Advance VA's Response to National Priorities (LEARN) Evidence-Based Policy Evaluation Center

推动退伍军人管理局响应国家优先事项的领先评估 (LEARN) 循证政策评估中心

• 批准号: 10536561
• 负责人: Kristina Marie Cordasco
• 金额: --
• 依托单位: VA GREATER LOS ANGELES HEALTHCARE SYSTEM
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10536561
• 关键词: Address; Area; Attention; Budgets; Caring; Characteristics; Data; Decision Making; Effectiveness; Electronic Health Record; Employee; Ensure; Evaluation; Evaluation Research; Feedback; Fostering; Foundations; Goals; Health system; Healthcare; Healthcare Systems; Home; Homelessness; Impact evaluation; Knowledge; Leadership; Learning; Mentors; Methods; Modernization; Outcome; Personal Satisfaction; Policies; Positioning Attribute; Postdoctoral Fellow; Process; Program Evaluation; Provider; Quality of Care; Research Personnel; Resources; Services; Strategic Planning; Time; Trust; United States; Variant; Veterans; Women' s Health; base; burnout; career; contextual factors; data infrastructure; design; diversity and equity; evidence base; evidence based guidelines; experience; health data; health disparity; health equity; implementation evaluation; improved; innovation; operation; programs; response; social health determinants; theories; virtual healthcare

Background and Priority Topics: Rigorous evaluation is foundational for evidence-based policymaking, which optimizes value and operational efficiencies. We propose to establish the Leading Evaluations to Advance VA’s Response to National Priorities (LEARN) Evidence-Based Policy Evaluation Center, which will partner with VA leaders to design and conduct rigorous and responsive evaluations, and disseminate evaluation findings, to influence continual improvements in VA policies and programs. LEARN will conduct and build VA’s capacity to perform evaluations aligned with six VA priorities: women’s health initiatives; effectiveness and implementation of programs to eliminate homelessness among Veterans; strategies to address Veteran health disparities and social determinants of health; reducing burnout and improving experience and outcomes among VA employees and trainees; Veteran experience and quality of virtual care options; and electronic health record modernization. Specific Aims: LEARN will: (1) design evaluation plans that respond to priorities of senior VA leadership and other United States executive and legislative leaders, in partnership with VA program offices and the VA Partnered Evidence-based Policy Resource Center; (2) conduct timely and rigorous evaluations of VA policies and programs, in partnership with program partners and policymakers, to fulfill core requirements of the Foundations for Evidence-based Policymaking Act of 2018; (3) support continual improvements in VA policies and programs through dissemination of evaluation results and evidence-based recommendations to internal and external stakeholders; and (4) expand capacity and expertise among VA investigators, staff, and academic collaborators to design and conduct evaluations of VA policies and programs, with attention to supporting early career investigators and expanding investigator diversity, equity, and inclusion. Methods: To conduct high-impact evaluations, LEARN will draw upon a broad network of 59 investigators who are topic and methods experts within VA and LEARN’s academic affiliates. LEARN will also build on over 30 years of partnered evaluation expertise, with over 20 national program offices, in its home at the Center for Healthcare Innovation, Implementation, and Policy (CSHIIP). Guided by the Learning Healthcare System framework and the QUERI Roadmap, LEARN will conduct partnered, theory-based evaluations, using VA’s robust health data infrastructure, rapid qualitative analyses, and mixed-method approaches, that assess the implementation, effectiveness, efficiency, and overall impacts (e.g., magnitude and scope of intended and unintended consequences) of VA policies and programs. Consistent with VA’s Strategic Plan, LEARN will assess the extent to which policies or programs advance VA’s goals of improving Veteran access, choice, customer service, trust, outcomes, and health equity, while optimizing care quality, operational efficiencies and promoting provider well-being and workforce stability. LEARN evaluations will also study variations in implementation and impacts across groups and settings (e.g., Veteran and facility characteristics), contextual factors that may influence these variations, and strategies for promoting policy or program implementation. LEARN will also communicate with, and receive feedback from, stakeholders throughout the evaluation process. LEARN will concurrently mentor a diverse group of post-doctoral fellows and early-career investigators, aiming to foster a VA investigator pipeline for conducting rigorous and responsive evaluations. Impact: LEARN evaluations will position VA and external leaders to proactively engage legislative and executive branch stakeholders in rich policy discussions to ensure the best use of VA resources to meet the needs of Veterans. With knowledge from such evaluations integrated into VA policy and program decision- making, the VA learning healthcare system can engage in evidence-based continual improvement and innovation that optimizes VA care.

背景和优先主题：严格的评估是基于证据的决策的基础， 我们建议建立领先评估。 推进 VA 对国家优先事项 (LEARN) 循证政策评估中心的响应，该中心 将与 VA 领导合作设计并进行严格且响应迅速的评估，并传播 评估结果，以影响 VA 政策和计划的持续改进。 建设 VA 进行评估的能力，以符合 VA 的六个优先事项：妇女健康倡议； 消除退伍军人无家可归问题的计划的有效性和实施情况； 解决退伍军人的健康差异和健康的社会决定因素；减少倦怠并改善； VA 员工和学员的经验和成果；退伍军人经验和虚拟护理质量； 选项；以及电子健康记录现代化。 具体目标：LEARN 将：(1) 设计评估计划，以响应 VA 高级领导层的优先事项和 其他美国行政和立法领导人与 VA 项目办公室和 VA 合作 合作的循证政策资源中心；(2) 对 VA 政策进行及时、严格的评估 和计划，与计划伙伴和政策制定者合作，以满足《公约》的核心要求 2018 年循证决策基金会法案 (3) 支持持续改进 VA 政策； 通过向内部传播评价结果和基于证据的建议来制定计划 和外部利益相关者；(4) 扩大 VA 研究人员、工作人员和学术界的能力和专业知识 合作者设计和评估 VA 政策和计划，并注意支持早期 职业调查员并扩大调查员的多样性、公平性和包容性。 方法：为了进行高影响力的评估，LEARN 将利用由 59 名研究人员组成的广泛网络，他们 是 VA 的主题和方法专家，LEARN 的学术附属机构也将建立在 30 多个基础上。 与 20 多个国家项目办公室在评估中心的所在地积累了多年的合作评价专业知识 以学习型医疗保健系统为指导的医疗保健创新、实施和政策 (CSHIIP)。 LEARN 将利用 VA 的框架和 QUERI 路线图进行基于理论的合作评估 强大的健康数据基础设施、快速定性分析和混合方法，可评估 实施、有效性、效率和总体影响（例如，预期和预期的规模和范围） 根据 VA 的战略计划，LEARN 将 评估政策或推进计划 VA 改善退伍军人准入、选择、 客户服务、信任、结果和健康公平，同时优化护理质量、运营效率和 促进提供者福祉和劳动力稳定性的学习评估还将研究以下方面的变化。 跨群体和环境的实施和影响（例如退伍军人和设施特征）、背景 可能影响这些变化的因素以及促进政策或计划实施的战略。 LEARN 还将在整个评估过程中与利益相关者进行沟通并接收反馈 LEARN 将同时指导多元化的博士后研究员和早期职业生涯。 调查人员，旨在培养 VA 调查人员渠道，以进行严格且反应灵敏的评估。 影响：LEARN 评估将使 VA 和外部领导人积极参与立法和 行政部门利益相关者参与丰富的政策讨论，以确保充分利用 VA 资源来满足 退伍军人的需求。将此类评估的知识纳入 VA 政策和计划决策中。 使 VA 学习医疗保健系统能够进行基于证据的持续改进和 优化 VA 护理的创新。