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:10493202
- 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 ManagementCategoriesChronic CareClinicalCommunitiesCommunity HealthcareComplexConsultDataData SourcesDevelopmentDiffusion of InnovationElectronic Health RecordElectronicsElementsEmergency medical serviceEnsureEvaluationEvidence based practiceExposure toFutureGoalsGroup InterviewsHealthHealth Services AccessibilityHealth systemHealthcareHybridsInterviewLifeMedicareMethodologyMethodsModelingNeeds AssessmentNursing Care ManagementNursing ServicesObservational StudyOffice NursingOutcomeOutcome and Process AssessmentPatient CarePatientsPerceptionPrimary CareProcessProcess AssessmentProviderQualitative MethodsReportingResearchResearch DesignRoleServicesSiteSocial WorkSurveysSystemTrustVeteransVital Statuscare coordinationcare outcomescare systemscomparison groupcostdata warehousedesignevidence baseexperienceformative assessmenthealth assessmenthealth care availabilityhealth care servicehealth service usehigh riskimplementation facilitationimplementation strategyimprovedinnovationinsightintegrated caremigrationmortalitymultiple data sourcespatient orientedprogramspsychosocialsatisfactionservice 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.
摘要
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、
改善患者体验,提高提供商满意度,降低或维护成本,但
对于那些有复杂护理需求的人来说似乎是最成功的。虽然退伍军人事务部已建立的初级保健制度
事实证明,以患者为中心的护理团队(PACT)在增加退伍军人的经验和
在降低成本的同时,许多高需求、高风险的退伍军人缺乏对其复杂临床的支持
和心理社会需求,影响他们的卫生保健使用、结果和成本。两大退伍军人管理局
由护理服务办公室(ONS)和护理管理和社会工作办公室(SW)领导的倡议,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
2019年,评估(CCNA)工具将使退伍军人与适当水平的护理协调和服务相匹配。然而,
CCNA的工具和组织流程尚未得到评估。
意义:评估和实施有效的护理协调做法是
弗吉尼亚州和是两个主要的国家倡议的重点,以解决使命法获得护理的目标。
创新/影响:我们将利用正在进行的计划,使用常规收集的CCNA数据,补充
使用医疗保健使用数据,以及退伍军人和提供者的视角,系统地评估护理协调
需求评估工具、做法以及对退伍军人所接受服务、结果和成本的影响。
具体目标:我们将为高需求、高风险的CCNA、流程和结果建立证据
寻求退伍军人管理局的退伍军人涵盖了退伍军人管理局设施和社区站点的医疗保健。我们的目标是:
1.描述和比较退伍军人需求评估、接受的服务、健康之间的关系
暴露于CCNA的退伍军人与匹配的对照组的结果和成本。
2.调查和比较退伍军人在护理协调服务、与其他组织的融合方面的经验
医疗保健服务,以及感知的健康影响。
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
和与创新扩散、关怀整合的决定因素有关的流程,并通报和开展
对供应商进行更广泛的调查。
方法:我们将使用组织理论方法,包括关怀、协调和创新
指导我们的研究的扩散框架,并使用定量和
定性研究方法。从2019年开始,退伍军人在早期采用者网站接受治疗,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那里收集。
定量分析将描述和比较退伍军人的医疗服务使用、死亡率和成本。定性的
分析将侧重于了解CCNA工具的感知属性以及感知的
组织背景和实施影响接受和采用。这些分析的结果将
告知正在进行的CCNA调整,为创新属性在现实生活中的实用性建立证据
实施,并确保对CCNA工具的评估包含最重要的要素。
下一步/实施/可持续性:建立护理证据协调进程将
最佳做法和实施。随着退伍军人管理局电子健康记录的迁移,这项研究可能会告诉我们
调整CCNA的新电子工具,以促进和维持循证做法的实施。
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)
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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
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{{ 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:
10315963 - 财政年份:2021
- 资助金额:
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