Who gets access to an interprofessional team-based primary care program for patients with complex health and social needs? A cross-sectional analysis

ABSTRACT

Objectives

To determine whether a voluntary referralbased interprofessional team-based primary care programme reached its target population and to assess the representativeness of referring primary care physicians.

Design

Cross-sectional analysis of administrative health data.

Setting

Ontario, Canada.

Intervention

TeamCare provides access to Community Health Centre services for patients of non-team physicians with complex health and social needs.

Using the quadruple aim to understand the impact of virtual delivery of care within Ontario community health centres: a qualitative study

Background

The onset of the COVID-19 pandemic and introduction of various restrictions resulted in drastic changes to 'traditional' primary healthcare service delivery modalities.

Aim

To understand the impact of virtual care on healthcare system performance within the context of Ontario community health centres (CHCs).

Design & setting

Thematic analysis of qualitative interviews with 36 providers and 31 patients.

Accessibility of Virtual Primary Care for Adults With Intellectual and Developmental Disabilities During the COVID-19 Pandemic: Qualitative Study

Background

The COVID-19 pandemic has led to an unprecedented increase in the delivery of virtual primary care. Adults with intellectual and developmental disabilities (IDDs) have complex health care needs, and little is known about the value and appropriateness of virtual care for this patient population.

Objective

The aim of this study was to explore the accessibility of virtual primary care for patients with IDDs during the pandemic.

(PREPRINT) Describing a complex primary health care population in a learning health system to support future decision support and artificial intelligence initiatives

ABSTRACT

Introduction 

Learning health systems (LHS) use data to improve care. Descriptive epidemiology to reveal health states and needs of the LHS population is essential for informing LHS initiatives, including development of decision support tools. To properly characterize complex populations, both simple statistical and artificial intelligence techniques can be useful. We present the first large-scale description of the population served by one of the first primary care LHS in North America.

Primer for artificial intelligence in primary care

Artificial intelligence (AI) and machine learning are transforming clinical practice. There is a need for tailored education for end users and a need for more primary care stakeholder engagement during development and testing of AI-driven tools. An in-depth or technical understanding of AI is not required for clinicians to be able to make meaningful contributions to AI-related initiatives; however, most existing AI education resources focus on methods or are not specific to primary care.

Clinical outcomes and healthcare costs among people entering a safer opioid supply program in Ontario

Abstract

Background: 

London InterCommunity Health Centre (LIHC) launched a safer opioid supply (SOS) program in 2016, where clients are prescribed pharmaceutical opioids and provided with comprehensive health and social supports. We sought to evaluate the impact of this program on health services utilization and health care costs.

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