Medicine and Health Sciences Commons^™

Perspectives Of Middle Eastern Immigrant Parents Regarding Accessing Healthcare Services For Children During The Covid-19 Pandemic In London, Ontario, Sarvenaz Mehrabi

Electronic Thesis and Dissertation Repository

Background: During the COVID-19 pandemic, immigrants have been disproportionally affected and faced difficulties in accessing healthcare services. While it has been reported that the rate of pediatric healthcare utilization decreased during the COVID-19 pandemic, the reasons behind this decline are unclear. It has been suggested that immigrant children might be affected by the COVID-19 pandemic restrictions regarding accessing healthcare services. This study aims to understand the Middle Eastern immigrant parents’ perspectives regarding their access to healthcare services for their children in the London, Ontario, area during the COVID-19 pandemic.

Methods: This qualitative study was conducted with an interpretive description methodology …

The Coping Strategies Of Older Adults With Age Related Vision Loss (Arvl) – A Narrative Account, Zakara J. Stampp

Electronic Thesis and Dissertation Repository

The goal of this study was to share the stories of older adults with age-related vision loss (ARVL) and how they have coped to maintain meaningful occupational engagement. Grounded in a constructivist paradigm, data collection and analysis were guided by the narrative inquiry methodology. The participants consisted of six older adults aged 60 or older, diagnosed with one of the following ARVL conditions: macular degeneration, diabetic retinopathy, and/or glaucoma. Participants were recruited from vision loss non-profit organizations such as the Canadian National Institute for the Blind (CNIB) and the Alliance for Equity of Blind Canadians (AEBC). One older adult was …

Effectiveness Of Machine Learning Classifiers For Cataract Screening, Ronald Cheung

Electronic Thesis and Dissertation Repository

Cataract is the leading cause of blindness and vision loss globally. The implementation of artificial intelligence (AI) in the healthcare industry has been on the rise in the past few decades and machine learning (ML) classifiers have shown to be able to diagnose patients with cataracts. A systematic review and meta-analysis were conducted to assess the diagnostic accuracy of these ML classifiers for cataracts currently published in the literature. Retrieved from nine articles, the pooled sensitivity was 94.8% and the specificity was 96.0% for adult cataracts. Additionally, an economic analysis was conducted to explore the cost-effectiveness of implementing ML to …

Does The Way We Pay Primary Care Providers Influence Emergency Department Use During After-Hours?, Michael Hong

Electronic Thesis and Dissertation Repository

In the early 2000s, Ontario introduced extensive primary care reforms to increase around-the-clock access to comprehensive primary care in response to inadequate access to primary care, including the way Ontario primary care physicians were paid. This thesis investigates the extent to which changes in physician payment could affect emergency department visits. First, a review evaluating the impact of access to primary care on primary care and emergency department utilization was conducted. Secondly, the impact of Ontario’s after-hours premium on emergency department visits was investigated, first within Ontario, then compared to four control provinces. Finally, rates of primary care services and …

Cost-Effectiveness Analysis Of Tpmt Genotype-Guided Azathioprine Treatment Compared To Standard Treatment For Patients With Moderate/Severe Ulcerative Colitis, Ali Unsal

Electronic Thesis and Dissertation Repository

This study assessed cost-effectiveness of pharmacogenomics (PGx)-based azathioprine (AZA) compared to standard AZA therapy for ulcerative colitis (UC) patients in Canada. A patient-level Microsimulation model was developed to compare the lifetime costs and quality-adjusted life years (QALYs) gained by a hypothetical cohort of UC patients with age and sex characteristics. The parameters used in the model were derived from the published literature and costs from the Ontario Schedules of Payments and published sources. The results were summarized in terms of the incremental cost-effectiveness ratio (ICER). Compared to standard AZA, PGx-based AZA care was the dominant strategy with 0.17 incremental QALYs …