Care Coordination and Outcomes for High Risk Patients: Building the Evidence for Implementation
高危患者的护理协调和结果:建立实施证据
基本信息
- 批准号:10315963
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdoptionAssessment toolCOVID-19 pandemicCaringCase ManagementChronic CareClinicalCommunitiesComplexConsultDataData SourcesDevelopmentDiffusion of InnovationElectronic Health RecordElementsEmergency medical serviceEnsureEvaluationEvidence based practiceExposure toFutureGoalsGroup InterviewsHealthHealth Services AccessibilityHealth systemHealthcareHybridsImpact evaluationInterviewLifeMedicareMethodologyMethodsModelingNeeds AssessmentNursing Care ManagementNursing ServicesObservational StudyOffice NursingOutcomePatient CarePatientsPerceptionPrimary Health CareProcessProcess AssessmentProviderQualitative MethodsReportingResearchResearch DesignRoleServicesSiteSocial WorkSurveysSystemTimeTrustVeteransVital Statusbasecare coordinationcare outcomescare systemscomparison groupcostdata warehousedesignevidence baseexperienceformative assessmenthealth care availabilityhealth care servicehealth service usehigh riskimplementation facilitationimplementation strategyimprovedinnovationinsightmigrationmortalitymultiple data sourcesprogramspsychosocialsatisfactionservice coordinationtelehealththeoriestooluptake
项目摘要
Abstract
Background: Care coordination is essential to improve patients’ access to healthcare, clinical outcomes,
enhancing patients experience, increasing provider satisfaction, and decreasing or maintaining costs, yet
appears to be most successful for those with complex care needs. While the VA’s established primary care
model, the Patient Aligned Care Team (PACT) has proven effective in increasing Veterans’ experience and
trust while decreasing costs, many high need, high risk Veterans lack support for their complex clinical
and psychosocial needs that impacts their health care use, outcomes and costs. Two major VA
initiatives led by the Offices of Nursing Service (ONS) and Care Management and Social Work (SW), and the
Office of Community Care (OCC) intend to address this gap with initiation of new care coordination needs
assessment (CCNA) tools to match Veterans with the right level of care coordination and services in 2019. Yet,
the CCNA tools and organizational processes have not been evaluated.
Significance: Evaluation and implementation of effective care coordination practices are a high priority for the
VA and is the focus of two major national initiatives to address MISSION Act access to care goals.
Innovation/Impact: We will leverage ongoing initiatives, using routinely collected CCNA data, supplemented
with health care use data, and Veteran and provider perspectives to systematically evaluate care coordination
needs assessment tools, practices, and impacts on Veterans’ services received, outcomes and costs.
Specific Aims: We will build evidence about the CCNA, processes, and outcomes for high need, high risk
Veterans seeking VA covered healthcare at VA facilities and community sites. Our aims are to:
1. Characterize and compare the relationship between Veteran needs assessment, services received, health
outcomes and costs for Veterans exposed to CCNA with a matched comparison group.
2. Survey and compare Veterans about their experience with care coordination services, integration with other
healthcare services, and perceived health impacts.
3. Conduct formative evaluation to assess provider perceptions at early adoption VA sites about CCNA tools
and processes related to determinants of innovation diffusion, care integration, and to inform and conduct a
broader survey of providers.
Methodology: We will use an organizational theoretical approach including care coordination and innovation
diffusion frameworks to guide our research and employ an observational design using quantitative and
qualitative methods. Veterans treated at early adopter sites beginning in 2019 and categorized as needing
complex care based on the CCNA will be compared to matched Veterans using multiple data sources. Data
sources will include Veteran CCNA from the CC/ICM and OCC sites; CDW, VA Community Care, Consult
Toolbox, Medicare, vital status, and cost data. Survey data will be collected from Veterans and providers.
Quantitative analyses will describe and compare Veterans’ health services use, mortality and costs. Qualitative
analyses will focus on understanding how perceived attributes of the CCNA tools, as well the perceived
organizational context and implementation, influence uptake and adoption. The results of these analyses will
inform ongoing CCNA adaptation, build the evidence for the utility of the innovation attributes for real-life
implementation, and ensure evaluation of CCNA tools captures the most important elements.
Next Steps/Implementation/Sustainability: Building the evidence for care coordination processes will inform
best practices and implementation. With the VA’s electronic health record migration, this study may inform how
to adapt new CCNA electronic tools to facilitate and sustain implementation of evidenced-based practices.
抽象的
背景:护理协调对于改善患者获得医疗保健的机会、临床结果、
增强患者体验,提高提供者满意度,并降低或维持成本,但
对于那些有复杂护理需求的人来说似乎是最成功的。虽然 VA 建立了初级保健
模型中,患者协调护理团队 (PACT) 已被证明可以有效增加退伍军人的经验和
在降低成本的同时建立信任,许多高需求、高风险的退伍军人缺乏对其复杂临床的支持
影响他们的医疗保健使用、结果和成本的社会心理需求。两大VA
由护理服务办公室 (ONS) 和护理管理和社会工作办公室 (SW) 领导的举措以及
社区护理办公室 (OCC) 打算通过启动新的护理协调需求来解决这一差距
评估 (CCNA) 工具,以便在 2019 年为退伍军人提供适当水平的护理协调和服务。然而,
CCNA 工具和组织流程尚未经过评估。
意义:评估和实施有效的护理协调实践是医疗机构的高度优先事项
VA 是两项主要国家举措的重点,旨在实现 MISSION Act 获得护理的目标。
创新/影响:我们将利用正在进行的举措,使用定期收集的 CCNA 数据,并补充
利用医疗保健使用数据以及退伍军人和提供者的观点来系统地评估护理协调
需求评估工具、实践以及对退伍军人所获得的服务、结果和成本的影响。
具体目标:我们将针对高需求、高风险建立有关 CCNA、流程和结果的证据
寻求退伍军人事务部的退伍军人在退伍军人事务部设施和社区场所承保医疗保健。我们的目标是:
1. 描述并比较退伍军人需求评估、接受的服务、健康状况之间的关系
接触 CCNA 的退伍军人与匹配对照组的结果和成本。
2. 调查并比较退伍军人在护理协调服务、与其他服务整合方面的经验
医疗保健服务和感知的健康影响。
3. 进行形成性评估,以评估早期采用 VA 站点的提供商对 CCNA 工具的看法
与创新扩散、护理整合的决定因素相关的流程,并告知和开展
对提供者进行更广泛的调查。
方法:我们将使用组织理论方法,包括护理协调和创新
扩散框架来指导我们的研究并采用使用定量和分析的观察设计
定性方法。从 2019 年开始,退伍军人在早期采用者站点接受治疗,并被归类为需要
基于 CCNA 的复杂护理将与使用多个数据源的匹配退伍军人进行比较。数据
来源将包括来自 CC/ICM 和 OCC 站点的资深 CCNA; CDW、VA 社区关怀、咨询
工具箱、医疗保险、生命状态和成本数据。调查数据将从退伍军人和提供者处收集。
定量分析将描述和比较退伍军人的医疗服务使用情况、死亡率和成本。定性
分析将侧重于了解 CCNA 工具的感知属性以及感知
组织背景和实施,影响吸收和采用。这些分析的结果将
为正在进行的 CCNA 调整提供信息,为创新属性在现实生活中的实用性建立证据
实施,并确保 CCNA 工具的评估捕获最重要的要素。
后续步骤/实施/可持续性:建立护理协调流程的证据将提供信息
最佳实践和实施。随着退伍军人事务部的电子健康记录迁移,这项研究可能会告诉您如何
采用新的 CCNA 电子工具来促进和维持循证实践的实施。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Denise M. Hynes其他文献
Effectiveness of Nirmatrelvir–Ritonavir Against the Development of Post–COVID-19 Conditions Among U.S. Veterans
Nirmatrelvir-Ritonavir 对美国退伍军人 COVID-19 后病情发展的有效性
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:39.2
- 作者:
G. Ioannou;K. Berry;N. Rajeevan;Yuli Li;Pradeep Mutalik;Lei Yan;D. Bui;F. Cunningham;Denise M. Hynes;M. Rowneki;A. Bohnert;Edward J. Boyko;Theodore J. Iwashyna;M. Maciejewski;Thomas F. Osborne;E. Viglianti;Mihaela Aslan;Grant D. Huang;K. Bajema - 通讯作者:
K. Bajema
Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
退伍军人医疗保健偏好全国研究中调查实施方法的评估
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:1.5
- 作者:
Natalie Disher;Jennifer Scott;Anna Tyzik;S. Golden;Georgia Baker;Denise M. Hynes;C. Slatore - 通讯作者:
C. Slatore
Research as a key to promoting and sustaining innovative practice.
研究是促进和维持创新实践的关键。
- DOI:
10.1016/s0029-6465(22)02483-5 - 发表时间:
2000 - 期刊:
- 影响因子:0
- 作者:
Denise M. Hynes - 通讯作者:
Denise M. Hynes
Self-Reported Everyday Functioning After COVID-19 Infection
COVID-19 感染后自我报告的日常功能
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:13.8
- 作者:
Theodore J. Iwashyna;Valerie A Smith;S. Seelye;A. Bohnert;Edward J. Boyko;Denise M. Hynes;George N. Ioannou;Matthew L. Maciejewski;A. O’Hare;E. Viglianti;Theodore Berkowitz;John Pura;James Womer;L. Kamphuis;Max L. Monahan;C. B. Bowling;Andrew Admon;Kathleen Akgun;Stacy Anderson;Mihaela Aslan;David Au;Lisa I Backus;Kristina Bajema;Aaron Baraff;Lisa Batten;Theodore Berkowitz;Taylor Bernstein;Kristin Berry Wyatt;Joseph Bogdan;H. Bosworth;Nathan Boucher;Nicholas Burwick;Aissa Cabrales;J. Cano;Wen Chai;Jason Chen;Kei;Kristina Crothers;Jeffrey Curtis;Marie Davis;Emily Del Monico;A. Dobalian;Jacob Doll;Jason A Dominitz;McKenna Eastment;Vincent Fan;Jacqueline Ferguson;Breanna Floyd;A. Fox;Matthew Goetz;D. Govier;Pamela Green;S. N. Hastings;Katie Hauschildt;Eric J Hawkins;Paul L. Hebert;M. Helfand;A. Hickok;D. Horowitz;Catherine Hough;Elaine Hu;Kevin Ikuta;Barbara Jones;Makoto Jones;L. Kamphuis;Brystana Kaufman;Sara Knight;A. Korpak;Peggy Korpela;Kyle Kumbier;K. Langa;Ryan Laundry;S. Lavin;Yuli Li;Jennifer Linquist;Holly McCready;Martha Michel;Amy Miles;J. Milne;Max L. Monahan;Daniel Morelli;Pradeep Mutalik;Jennifer Naylor;Meike Neiderhausen;S. Newell;Shannon Nugent;Michael Ong;Thomas Osborne;Matthew Peterson;Alexander Peterson;Hallie Prescott;N. Rajeevan;Ashok Reddy;Marylena Rouse;M. Rowneki;Somnath Saha;Sameer Saini;Javeed Shah;T. Shahoumian;Aasma Shaukat;M. Shepherd;Whitney Showalter;Christopher G. Slatore;Nicholas Smith;Battista Smith;Pradeep Suri;Jeremy Sussman;Yumie Takata;Alan Teo;Eva Thomas;Laura Thomas;Anais Tuepker;Zachary P Veigulis;Elizabeth Vig;Kelly Vranas;X. Q. Wang;Katrina Wicks;Kara A Winchell;Edwin S Wong;Chris Woods;Katherine Wysham;Lei Yan;Donna Zulman - 通讯作者:
Donna Zulman
Barriers and Facilitators to Cross-Institutional Referrals: System Configuration Analysis of VA Staff Experiences
- DOI:
10.1007/s11606-025-09450-5 - 发表时间:
2025-03-10 - 期刊:
- 影响因子:4.200
- 作者:
April Savoy;Frances M. Weaver;Himalaya Patel;Amanda Taylor;Diana J. Govier;Denise M. Hynes - 通讯作者:
Denise M. Hynes
Denise M. Hynes的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Denise M. Hynes', 18)}}的其他基金
Care Coordination and Outcomes for High Risk Patients: Building the Evidence for Implementation
高危患者的护理协调和结果:建立实施证据
- 批准号:
10493202 - 财政年份:2021
- 资助金额:
-- - 项目类别:
相似海外基金
WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
- 批准号:
10093543 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Collaborative R&D
Investigating the Adoption, Actual Usage, and Outcomes of Enterprise Collaboration Systems in Remote Work Settings.
调查远程工作环境中企业协作系统的采用、实际使用和结果。
- 批准号:
24K16436 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
Unraveling the Dynamics of International Accounting: Exploring the Impact of IFRS Adoption on Firms' Financial Reporting and Business Strategies
揭示国际会计的动态:探索采用 IFRS 对公司财务报告和业务战略的影响
- 批准号:
24K16488 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
-- - 项目类别:
EU-Funded
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
- 批准号:
24K20973 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
-- - 项目类别:
EU-Funded
Our focus for this project is accelerating the development and adoption of resource efficient solutions like fashion rental through technological advancement, addressing longer in use and reuse
我们该项目的重点是通过技术进步加快时装租赁等资源高效解决方案的开发和采用,解决更长的使用和重复使用问题
- 批准号:
10075502 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant for R&D
Engage2innovate – Enhancing security solution design, adoption and impact through effective engagement and social innovation (E2i)
Engage2innovate — 通过有效参与和社会创新增强安全解决方案的设计、采用和影响 (E2i)
- 批准号:
10089082 - 财政年份:2023
- 资助金额:
-- - 项目类别:
EU-Funded
De-Adoption Beta-Blockers in patients with stable ischemic heart disease without REduced LV ejection fraction, ongoing Ischemia, or Arrhythmias: a randomized Trial with blinded Endpoints (ABbreviate)
在没有左心室射血分数降低、持续性缺血或心律失常的稳定型缺血性心脏病患者中停用β受体阻滞剂:一项盲法终点随机试验(ABbreviate)
- 批准号:
481560 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Operating Grants
Collaborative Research: SCIPE: CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies (CI PIVOT)
合作研究:SCIPE:网络基础设施专业人员创新和扩大先进技术的采用 (CI PIVOT)
- 批准号:
2321091 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant














{{item.name}}会员




