课题基金 / 基金详情

Youth and Family Specific Engagement in Research (UNITE): A Framework Development Project

Youth and Family Specific Engagement in Research (UNITE): A Framework Development Project
青少年和家庭特定参与研究 (UNITE)：框架开发项目
批准号：
495372
负责人：
Munce Sarah E
金额：
$7.28万
依托单位：
Toronto Rehabilitation Institute-UHN
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2023
资助国家：
加拿大
项目状态：
已结题
起止时间：
2023-11-01 至 2024-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=495372&lang=en
关键词：
Frameworks Models Patient Engagement Qualitative Scooping Review Theories Youth

项目摘要

项目成果

Munce Sarah E的其他基金

相似基金

相关文献

中文摘要
翻译
患者是健康研究的重要合作伙伴，因为他们的生活经验和知识可以提高研究的质量，相关性和影响力。虽然患者参与对患者合作伙伴、研究人员和研究专业人员来说有好处
英文摘要
Patients are essential partners in health research because their lived experiences and knowledge can enhance the quality, relevance, and impact of research. While there are benefits of patient engagement for patient partners, researchers, and research pro
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Mixed methods pilot feasibility study of an online peer navigation intervention for youth with childhood-onset disabilities
  • 批准号：
    475414
  • 项目类别：
    Operating Grants
  • 资助金额：
    $7.28万
  • 财政年份：
    2022
  • 负责人：
    Munce Sarah E
  • 依托单位：
    Toronto Rehabilitation Institute-UHN
Development of the Preferred Reporting Components for Co-design in Research (PRECISE) Guideline and Checklist
  • 批准号：
    470476
  • 项目类别：
    Operating Grants
  • 资助金额：
    $23.69万
  • 财政年份：
    2022
  • 负责人：
    Munce Sarah E
  • 依托单位：
    Toronto Rehabilitation Institute-UHN
Identification and prioritization of transitional care interventions (TCIs) for adolescents and young adults with childhood onset disabilities
  • 批准号：
    395526
  • 项目类别：
    Operating Grants
  • 资助金额：
    $7.24万
  • 财政年份：
    2018
  • 负责人：
    Munce Sarah E
  • 依托单位：
    Toronto Rehabilitation Institute-UHN
Patient Perspectives on the Components of a Self-Management Program for Individuals with Traumatic Spinal Cord Injury: Results from a National Survey
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟