Quantifying the Burden of Disease and Healthcare Need in Veterans and Civilians

量化退伍军人和平民的疾病负担和医疗保健需求

基本信息

项目摘要

Background: With rapid acceleration of Veterans’ use of care in the community, limited data exist to prepare community providers and others in the broader VA integrated care network. Many community providers and health plans may assume Veteran patients are similar to their routine practice populations, composed primarily of civilians, although prior research would suggest otherwise. Significance/Impact: The proposed study will use detailed, current, and comprehensive data from the Behavioral Risk Factor Surveillance System (BRFSS), National Health Interview Survey (NHIS), the National Surveys on Drug Use and Health (NSDUH), and VA Corporate Data Warehouse (CDW) to quantify broadly the distribution of health and healthcare factors for Veterans, VA users, and VA non-users and to evaluate in-depth the factors that differ between Veterans and civilians. This information will not only substantially update our knowledge of how Veterans are similar to or different from civilians but will also be used by VA policymakers to improve the design and readiness of community care partners as VA referrals increase. Innovation: In contrast to previous studies and reports using national survey data, the proposed project will include VA data to provide a richer description of VA patients than is possible using only publicly-available data on VA users, and examine in depth the patterns in Veterans’ health and healthcare across subgroups and over time. The proposed research has no corollary or antecedent study in VA HSR&D’s or QUERI’s portfolio, and of the studies funded outside the VA that use one or more of these sources and is underway or recently completed, none proposed to use VA data or to combine the breadth and depth of the proposed project Specific Aims: This project aims to 1. Quantify the distribution of population characteristics, health behaviors, health conditions, health status, access to care, and healthcare utilization among Veterans overall and among VA users and non-users; 2. Evaluate the extent to which patterns in population-, health-, and healthcare- related factors differ between Veterans and civilians; 3. Determine whether the patterns identified under Aims 1 and 2 vary for subgroups defined by age, gender, and race-ethnicity; and, 4. Conduct an expert panel to review results from Aims 1-3 to come to consensus on evidence-based recommendations for improved community care (e.g., community provider readiness) and health equity. Methodology: We will conduct a secondary analysis using multiple years of data from BRFSS, NHIS, NSDUH, and VA CDW. Our analyses will include measures for Veteran and VA user status, geographic region, population characteristics, health behaviors and conditions, and healthcare outcomes, such as access, utilization, and unmet need for care. We will quantify the distribution of population-, health-, and healthcare- related factors among Veterans, VA users, and VA non-users, evaluate how these factors differ between Veterans and civilians, assess the extent to which VA use moderates differences between Veterans and civilians, and assess how patterns for Veterans differ across population subgroups. We will use modified Delphi panel methods to critically appraise findings, rate their importance, feasibility, and potential for Veteran impacts, and come to consensus on evidence-based recommendations for community care and health equity. Next Steps/Implementation: We will engage diverse stakeholders as advisors/panelists (e.g., national program office, VISN, VAMC and Veteran representatives) in design of dissemination products (e.g., fact sheets, visual abstracts) for different venues that meet end user needs in addition to traditional scientific products. Integrated into the panel process will be explicit planning for products capable of informing and supporting potential practice and policy changes and their subsequent implementation.
背景:随着社区中退伍军人使用护理的快速加速,存在有限的数据来准备 社区提供商和其他更广泛的VA综合护理网络中的其他人。许多社区提供者和 健康计划可能会假设老兵患者与常规练习人群相似,主要是 平民,尽管先前的研究将暗示其他建议。 意义/影响:拟议的研究将使用来自 行为危险因素监视系统(BRFSS),国家健康访谈调查(NHIS),国家 对药物使用和健康(NSDUH)和VA公司数据仓库(CDW)的调查,以广泛量化 退伍军人,VA用户和VA非用户的健康和医疗保健因素的分配,并评估深入 退伍军人和平民之间有所不同的因素。此信息不仅将大大更新我们的 了解退伍军人与平民的相似或不同的知识,但VA决策者也将使用 随着VA推荐的增加,改善社区护理伙伴的设计和准备就绪。 创新:与使用国家调查数据的先前研究和报告相反,该项目将 包括VA数据,以提供对VA患者的丰富描述,而不是仅使用公共数据 在VA用户上,并深入研究退伍军人的健康和医疗保健的模式 时间。拟议的研究没有在VA HSR&D或Queri的投资组合中没有必需的研究,并且 在使用其中一种或多种来源的VA之外资助的研究中,正在进行或最近 完成后,没有提议使用VA数据或结合拟议项目的宽度和深度 具体目的:该项目的目的是1。量化人口特征,健康行为的分布, 保健状况,健康状况,获得护理和退伍军人的医疗保健利用 VA用户和非用户; 2。评估人口,健康和医疗保健中的模式的程度 退伍军人和平民之间的相关因素有所不同; 3。确定目标是否确定的模式1 与年龄,性别和种族种族定义的亚组不同,有2个不同;和,4。进行专家小组进行审查 AIMS 1-3的结果以对改善社区的循证建议达成共识 护理(例如社区提供者准备就绪)和健康公平。 方法论:我们将使用来自BRFSS的多年数据进行二级分析,NHIS, NSDUH和VA CDW。我们的分析将包括老兵和VA用户状态的措施,地理 地区,人口特征,健康行为和条件以及访问等医疗保健结果 利用和未满足的护理需求。我们将量化人口,健康和医疗保健的分布 退伍军人,VA用户和VA非用户之间的相关因素,评估这些因素如何不同 退伍军人和平民,评估VA使用的程度适度,退伍军人与退伍军人之间的差异 平民,并评估退伍军人的模式在人口亚群中如何有所不同。我们将使用修改 Delphi面板方法批判性评估发现,评估其重要性,可行性和潜力 影响,并就基于证据的社区护理和健康公平的建议达成共识。 下一步/实施:我们将与顾问/小组成员一起与潜水员的利益相关者联系(例如,国家 计划办公室,VISN,VAMC和退伍军人代表)在传播产品的设计中(例如,事实 床单,视觉摘要)除了传统科学外,还满足最终用户需求的不同企业 产品。集成到面板过程中将是针对能够告知和的产品的明确计划 支持潜在的实践和政策变化及其后续实施。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Trends in substance use disorder diagnoses among Veterans, 2009-2019.
2009-2019 年退伍军人物质使用障碍诊断趋势。
  • DOI:
    10.1111/ajad.13413
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hoggatt,KatherineJ;Chawla,Neetu;Washington,DonnaL;Yano,ElizabethM
  • 通讯作者:
    Yano,ElizabethM
共 1 条
  • 1
前往

Katherine JoAnn Ho...的其他基金

Long-Term Opioid Therapy: Screen to Evaluate and Treat (Opioid-SET)
长期阿片类药物治疗:筛查、评估和治疗 (Apioid-SET)
  • 批准号:
    10229342
    10229342
  • 财政年份:
    2020
  • 资助金额:
    --
    --
  • 项目类别:
Quantifying the Burden of Disease and Healthcare Need in Veterans and Civilians
量化退伍军人和平民的疾病负担和医疗保健需求
  • 批准号:
    10237118
    10237118
  • 财政年份:
    2020
  • 资助金额:
    --
    --
  • 项目类别:
Using Data Integration and Predictive Analytics to Improve Diagnosis-Based Performance Measures
使用数据集成和预测分析来改进基于诊断的绩效衡量
  • 批准号:
    10051319
    10051319
  • 财政年份:
    2017
  • 资助金额:
    --
    --
  • 项目类别:
Using Data Integration and Predictive Analytics to Improve Diagnosis-Based Performance Measures
使用数据集成和预测分析来改进基于诊断的绩效衡量
  • 批准号:
    10457091
    10457091
  • 财政年份:
    2017
  • 资助金额:
    --
    --
  • 项目类别:
Improving care for women Veterans with substance use disorders
改善对患有药物滥用障碍的女性退伍军人的护理
  • 批准号:
    8278266
    8278266
  • 财政年份:
    2012
  • 资助金额:
    --
    --
  • 项目类别:

相似国自然基金

基于腔光机械效应的石墨烯光纤加速度计研究
  • 批准号:
    62305039
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于自持相干放大的高精度微腔光力加速度计研究
  • 批准号:
    52305621
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
位移、加速度双控式自复位支撑-高层钢框架结构的抗震设计方法及韧性评估研究
  • 批准号:
    52308484
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
高离心加速度行星排滚针轴承多场耦合特性与保持架断裂失效机理研究
  • 批准号:
    52305047
  • 批准年份:
    2023
  • 资助金额:
    30.00 万元
  • 项目类别:
    青年科学基金项目
基于偏心光纤包层光栅的矢量振动加速度传感技术研究
  • 批准号:
    62305269
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Antibody Core
抗体核心
  • 批准号:
    10549477
    10549477
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Assessing Clinical Effectiveness and Implementation of Worksite Sleep Health Coaching in Firefighters
评估消防员工作现场睡眠健康指导的临床效果和实施情况
  • 批准号:
    10585123
    10585123
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Leadership and Administrative Core
领导和行政核心
  • 批准号:
    10730131
    10730131
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Core A: Administrative, Career Development, and Research Integration Core
核心 A:行政、职业发展和研究整合核心
  • 批准号:
    10630466
    10630466
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Identifying barriers to optimizing data sharing and accelerate discovery in Alzheimer’s disease and related dementia research
识别优化数据共享和加速阿尔茨海默病及相关痴呆症研究发现的障碍
  • 批准号:
    10568214
    10568214
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别: