COMputerized PAtient-centered Collaborative Technology (COMPACT) to Support Personalized Decision Making in Breast Cancer

以患者为中心的计算机化协作技术 (COMPACT) 支持乳腺癌的个性化决策

基本信息

项目摘要

PROJECT SUMMARY The proposed research addresses an urgent need to support personalized breast cancer treatment decision making based on the unique needs, values, and preferences of each patient. Breast cancer is the most common cancer in women, with approximately 280,000 new cases diagnosed each year. Breast cancer treatment decisions are complex as there are often several clinically viable treatment options available, each with differing risks, benefits, and implications on the patient’s life. It is important to involve patients in this preference-sensitive decision, yet, approximately 50% of breast cancer patients do not make informed decisions regarding treatment, and patients report only knowing half of the information relevant to the decision. Poor understanding or insufficient participation in the treatment decision making process can lead to poor patient outcomes, reduced patient satisfaction, and higher healthcare costs. We propose that a COMputerized PAtient-centered Collaborative Technology (COMPACT), designed with Human Factors Engineering (HFE) approaches, can improve personalized breast cancer decision making and patient outcomes. During this 4- year project, we will design and test the COMPACT system using human centered design (HCD). This research will support the PIs transition to research independence and propel her towards achieving her long-term goal of becoming a leader in the field of HFE design and implementation of augmented intelligence technologies to support teamwork in cancer care. The research will take place in the strong institutional environment at Vanderbilt University Medical Center. Building on her expertise in HFE design of health information technology (HIT), she will develop essential knowledge and skills in (1) breast cancer care, (2) design of patient HIT, and (3) implementation science. The PI will grow these skills with the following Aims: Research Aim 1 is a thorough HFE work system analysis to understand the sociotechnical work system in which breast cancer care occurs. Interviews with and observations of patients, their family caregivers, and clinicians will generate detailed care process maps and patient journey maps to support the design of COMPACT. The PI will gain knowledge on cancer care processes and the needs of breast cancer patients. Research Aim 2 is the HCD of COMPACT. Using Aim 1 findings, we will conduct a series of collaborative design sessions with patients, their caregivers, and clinicians to develop the COMPACT user interfaces. Formative usability testing and a heuristic evaluation will identify design improvements to the prototypes. The PI will develop skills in patient-facing HIT and implementation science. Research Aim 3 is the evaluation of COMPACT in a scenario-based simulation. Scenario-based simulations with potential breast cancer patients and clinicians (individually and in groups) using COMPACT under realistic conditions will evaluate COMPACT’s potential usefulness, usability, and acceptance. Future work will study COMPACT in a randomized controlled trial to understand its impact on patient care.
项目摘要 这项拟议中的研究解决了支持个性化乳腺癌治疗的迫切需求 根据每位患者的独特需求、价值观和偏好做出决策。乳腺癌是 女性最常见的癌症,每年诊断出约28万例新病例。乳腺癌 治疗决定是复杂的,因为通常有几种临床上可行的治疗选择, 有不同的风险、收益和对患者生活的影响。让病人参与进来是很重要的 偏好敏感的决定,然而,大约50%的乳腺癌患者不知情 关于治疗的决定,患者报告只知道与决定相关的一半信息。 对治疗决策过程的理解不足或参与不足可能会导致不良反应 患者结果、降低的患者满意度和更高的医疗成本。我们建议, 以患者为中心的协作技术(COMPACT),采用人为因素工程(HFE)设计 方法,可以改善个性化的乳腺癌决策和患者结果。在这4- 在2004年的项目中,我们将使用以人为中心的设计(HCD)来设计和测试COMPACT系统。 这项研究将支持PI过渡到研究独立,并推动她实现 她的长期目标是成为HFE设计和实施增强 支持癌症护理团队合作的智能技术。这项研究将在强大的 范德比尔特大学医学中心的机构环境。凭借她在HFE设计方面的专业知识, 健康信息技术(HIT),她将发展(1)乳腺癌护理, (2)患者HIT的设计;(3)实施科学。PI将通过以下目标培养这些技能: 研究目标1是一个彻底的HFE工作系统分析,以了解社会技术工作系统 乳腺癌的治疗。对患者及其家庭护理人员的访谈和观察 临床医生将生成详细的护理流程图和患者旅程图,以支持 紧凑. PI将获得有关癌症护理流程和乳腺癌患者需求的知识。 研究目标2是COMPACT的HCD。利用目标1的发现,我们将进行一系列的合作, 设计与患者、其护理人员和临床医生的会话,以开发COMPACT用户界面。 形成性可用性测试和启发式评估将确定原型的设计改进。的 PI将培养面向患者的HIT和实施科学的技能。 研究目标3是在一个基于MIMO的仿真中对COMPACT进行评估。基于场景 使用COMPACT模拟潜在乳腺癌患者和临床医生(单独和分组) 在现实条件下,将评估COMPACT的潜在有用性、可用性和可接受性。 未来的工作将在随机对照试验中研究COMPACT,以了解其对患者护理的影响。

项目成果

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Megan Elizabeth Salwei其他文献

Megan Elizabeth Salwei的其他文献

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{{ truncateString('Megan Elizabeth Salwei', 18)}}的其他基金

COMputerized PAtient-centered Collaborative Technology (COMPACT) to Support Personalized Decision Making in Breast Cancer
以患者为中心的计算机化协作技术 (COMPACT) 支持乳腺癌的个性化决策
  • 批准号:
    10704122
  • 财政年份:
    2022
  • 资助金额:
    $ 12.1万
  • 项目类别:

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