Identifying palliative care needs among hospitalized patients with chronic obstructive pulmonary disease

确定慢性阻塞性肺疾病住院患者的姑息治疗需求

基本信息

项目摘要

PROJECT SUMMARY Millions of Americans with COPD experience burdensome symptoms, reduced quality of life, and undesirable end-of-life care. Increasing palliative care for this vulnerable population is widely advocated to improve these important patient-centered outcomes. Yet patients with COPD rarely receive palliative care due, in part, to difficulties identifying which patients have unmet palliative care needs and palliative care workforce shortages. The proposed study's core objective is to address the national priority of improving palliative care for patients with COPD by developing an efficient, innovative, and patient-centered method to identify those with unmet palliative care needs. Specifically, the candidate seeks to (1) assess patients with COPD to determine their palliative care needs; (2) develop and validate an electronic health record-based classification model for each domain of palliative care needs; and (3) evaluate the relationship between the probability of having unmet palliative care needs and patient-centered clinical outcomes. The study will involve an in-person cross- sectional survey of 432 hospitalized patients with COPD of any stage. Participants will complete a validated survey to capture a wide variety of palliative care needs, which will be supplemented with expert chart review to identify patients with needs in any of three clinically relevant and actionable domains. These cases will be used as the patient-reported reference standard for development and validation of domain-specific classification models leveraging natural language processing of unstructured clinical text in electronic health records and machine learning methods. Finally, a large, multicenter retrospective cohort study will evaluate the associations between different probabilities of having unmet palliative care needs and several clinical outcomes important to patients, caregivers, and hospitals. This will enable the identification of thresholds of probabilities of unmet needs above which COPD patients' risks of undesirable clinical outcomes increase. Such patients will then be targeted for enrollment in future trials testing interventions to improve these outcomes. Completion of this research will build upon the candidate's past training, which includes a Masters in Health Policy Research obtained with NHLBI T32 support, an F32-supported post-doctoral fellowship, and a career development award from the National Palliative Care Research Center, and will provide the experience, education, and mentorship to allow the candidate to become a fully independent investigator. The candidate's rigorous training plan, focused on obtaining advanced skills in multisite prospective research, patient-centered outcomes research, and advanced bioinformatics methods will allow her to submit successful R01 or PCORI applications testing interventions directly informed by the results of this work. The candidate's primary mentor, collaborators, and advisors will ensure adherence to the proposed timeline and goals and provide a supportive environment for her to develop an independent research career focused on improving the uptake and effectiveness of palliative care for patients with COPD and other cardiopulmonary diseases.
项目摘要 数百万患有COPD的美国人经历了繁重的症状,生活质量降低和不良 临终护理。广泛提倡对这一脆弱人群的姑息治疗增加来改善这些 重要的以患者为中心的结果。然而,患有COPD的患者很少接受姑息治疗,部分原因是 难以确定哪些患者的姑息治疗需求和姑息治疗劳动力短缺。 拟议的研究的核心目标是解决改善患者姑息治疗的国家优先事项 通过开发一种有效,创新和以患者为中心的方法来识别那些未得到满足的方法,通过COPD 姑息治疗需求。具体而言,候选人试图(1)评估COPD患者以确定其 姑息治疗需求; (2)为每个开发并验证一个基于电子健康记录的分类模型 姑息治疗需求的领域; (3)评估未安装的概率之间的关系 姑息治疗需求和以患者为中心的临床结果。该研究将涉及一个面对面的交叉 对432名任何阶段COPD的住院患者的分区调查。参与者将完成经过验证的 调查以捕获各种各样的姑息治疗需求,并补充专家图表评论 在三个临床相关且可操作的领域中的任何一个中都有需求的患者。这些情况将是 用作患者报告的参考标准,用于开发和验证域特异性 利用电子健康中非结构化临床文本的自然语言处理的分类模型 记录和机器学习方法。最后,一项大型多中心回顾性队列研究将评估 具有未满足姑息治疗需求的不同概率与几个临床之间的关联 结果对患者,看护人和医院很重要。这将使能够识别 未满足需求的概率,高于COPD患者的不良临床结果风险增加。 然后,此类患者将被针对以后的试验测试干预措施的入学人数 结果。这项研究的完成将基于候选人的过去培训,其中包括硕士 在NHLBI T32支持的卫生政策研究中,F32支持的博士后奖学金和A 国家姑息治疗研究中心的职业发展奖,将提供体验 教育和指导使候选人成为完全独立的调查员。候选人的 严格的培训计划,专注于获得以患者为中心的多站点前瞻性研究的高级技能 结果研究和高级生物信息学方法将使她能够提交成功的R01或PCORI 该工作结果直接告知了应用程序测试干预措施。候选人的主要导师, 合作者和顾问将确保遵守提议的时间表和目标,并提供支持 她发展独立研究职业的环境,专注于改善吸收和 姑息治疗对COPD和其他心肺疾病患者的有效性。

项目成果

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Katherine Rinaldi Courtright其他文献

Katherine Rinaldi Courtright的其他文献

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{{ truncateString('Katherine Rinaldi Courtright', 18)}}的其他基金

Leveraging the electronic health record and behavioral nudges to promote primary and specialist palliative care for inpatients with serious illness: A pragmatic trial
利用电子健康记录和行为推动促进对重症住院患者的初级和专科姑息治疗:一项务实试验
  • 批准号:
    10624326
  • 财政年份:
    2022
  • 资助金额:
    $ 17.36万
  • 项目类别:
Leveraging the electronic health record and behavioral nudges to promote primary and specialist palliative care for inpatients with serious illness: A pragmatic trial
利用电子健康记录和行为推动促进对重症住院患者的初级和专科姑息治疗:一项务实试验
  • 批准号:
    10442225
  • 财政年份:
    2022
  • 资助金额:
    $ 17.36万
  • 项目类别:
Identifying palliative care needs among hospitalized patients with chronic obstructive pulmonary disease
确定慢性阻塞性肺疾病住院患者的姑息治疗需求
  • 批准号:
    10237990
  • 财政年份:
    2018
  • 资助金额:
    $ 17.36万
  • 项目类别:
Identifying palliative care needs among hospitalized patients with chronic obstructive pulmonary disease
确定慢性阻塞性肺疾病住院患者的姑息治疗需求
  • 批准号:
    10465053
  • 财政年份:
    2018
  • 资助金额:
    $ 17.36万
  • 项目类别:
A Trial of Expanded Choice Sets in Advance Directives for Hemodialysis Patients
血液透析患者预先医疗指示中扩大选择集的试验
  • 批准号:
    8982352
  • 财政年份:
    2016
  • 资助金额:
    $ 17.36万
  • 项目类别:

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