Model for assessment of risks of going missing in persons living with dementia during and post COVID-19 pandemic

According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities. The general objective of this project is to define, validate and apply a quantitative model that can capture data and generate numerical indicators of risks of going missing, injury and death for people living with dementia, based on the multiple factors identified in the conceptual model proposed by Neubauer and Liu (2020). In this project we will use a transdisciplinary approach of applied research, we will apply exploratory research with an observational design, that includes a critical literature review and a correlational and predictive study with Factor Analysis and Multilevel and Multivariate Linear Regression models. This will help us to understand and determinate the relation between factors and outcomes, and ultimately that will help to assess the risk of a person for going missing.

Faculty Supervisor:

Lili Liu;Antonio Miguel Cruz

Student:

Hector Perez Lopez Portillo

Partner:

Clinisys EMR Inc

Discipline:

Epidemiology / Public health and policy

Sector:

Professional, scientific and technical services

University:

Program: