COVID-19 in Ontario Long-term Care Facilities Project, a manually curated and validated database.

Front Public Health

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Department of Mathematics and Statistics, York University, Toronto, ON, Canada.

Published: February 2023

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950626PMC
http://dx.doi.org/10.3389/fpubh.2023.1133419DOI Listing

Publication Analysis

Top Keywords

covid-19 ontario
4
ontario long-term
4
long-term care
4
care facilities
4
facilities project
4
project manually
4
manually curated
4
curated validated
4
validated database
4
covid-19
1

Similar Publications

Background: To compare the effectiveness of four surveillance strategies for detecting SARS-CoV-2 within the homeless shelter population in Hamilton, ON and assess participant adherence over time for each surveillance method.

Methods: This was an open-label, cluster-randomized controlled trial conducted in eleven homeless shelters in Hamilton, Ontario, from April 2020 to January 2021. All participants who consented to the study and participated in the surveillance were eligible for testing by self-swabbing.

View Article and Find Full Text PDF

This article focuses on findings of a qualitative research study that looked at experiences of Filipino healthcare workers in Canada during the COVID-19 pandemic. The purpose is to contribute to the growing body of literature on mental health among racialized frontline healthcare workers in Canada by investigating factors that affect mental health and barriers associated with accessing services and supports among Filipino healthcare workers in Ontario, Canada. The study employed a cross-sectional qualitative descriptive design to identify strategies that Filipino frontline healthcare workers use to effectively cope with mental health issues, work stress, and structural and economic barriers to their well-being.

View Article and Find Full Text PDF

Assessing the impact of the iPeer2Peer program for adolescents with juvenile idiopathic arthritis: a mixed-methods randomized controlled trial.

Pediatr Rheumatol Online J

December 2024

Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, 686 Bay Street, Room 06.9715, Toronto, ON, M5G 0A4, Canada.

Background: Juvenile Idiopathic Arthritis (JIA) is a chronic pediatric illness, whereby youth experience physical, emotional and psychosocial challenges that result in reduced health related quality of life (HRQL). Peer mentoring has been shown to improve disease self-management in adults with chronic conditions, with mixed results in younger populations. Building on our pilot work - which supported the feasibility and initial effectiveness of the iPeer2Peer program - the objective of this study was to assess the clinical effectiveness of the program in youth with JIA through a waitlist randomized controlled trial.

View Article and Find Full Text PDF

Objective: Gestational diabetes mellitus (GDM) is a common medical complication of pregnancy that leads to adverse outcomes for both infants and pregnant people. Early detection and treatment can mitigate these negative outcomes. The COVID-19 pandemic strained healthcare and laboratory services, including GDM screening programs.

View Article and Find Full Text PDF

The value of 'data-enabled', digital healthcare is evolving rapidly, as demonstrated in the COVID-19 pandemic, and its successful implementation remains complex and challenging. Harmonisation (within/between healthcare systems) of infrastructure and implementation strategies has the potential to promote safe, equitable and accessible digital healthcare, but guidance for implementation is lacking. Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!