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A retrospective cohort using multilevel modelling of administrative data to predict and prevent movement of low-income older adults from social housing into Long Term Care facilities: Development of the Keeping Low-income Older adults in Social housing hE

A retrospective cohort using multilevel modelling of administrative data to predict and prevent movement of low-income older adults from social housing into Long Term Care facilities: Development of the Keeping Low-income Older adults in Social housing hE
使用多级管理数据模型来预测和防止低收入老年人从社会住房进入长期护理机构的回顾性队列：将低收入老年人留在社会住房中的发展 hE
批准号：
438349
负责人：
Agarwal Gina (Ragini)
金额：
$5.46万
依托单位：
McMaster University
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-10-01 至 2021-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=438349&lang=en
关键词：
Access To Healthcare Administrative Data Chronic Disease Profile Health Geography Health Inequities Low Income Older Adults Prevent Transition To Long Term Care (Ltc) Social Housing Vulnerable Population

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中文摘要
翻译
这个项目有三个目标。一个是找出住在社会保障房的人搬到长期护理院的原因。第二是创建一种工具，帮助卫生系统知道谁最有可能转向长期
英文摘要
There are three goals for this project. One is to find out the reasons why people living in social housing buildings move to long term care homes. The second is to create a tool that will help the health system know who is most likely to move to long term
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Canada Research Chair - Tier 1
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海外基金