Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records.

Background: Rheumatoid Arthritis (RA) is a chronic inflammatory disease that is primarily diagnosed and managed by rheumatologists; however, it is often primary care providers who first encounter RA-related symptoms. This study developed and validated a case definition for RA using national surveillance data in primary care settings.

Methods: This cross-sectional validation study used structured electronic medical record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).

Candidacy 2.0 (CC) - an enhanced theory of access to healthcare for chronic conditions: lessons from a critical interpretive synthesis on access to rheumatoid arthritis care.

Background: The Dixon-Woods et al. Candidacy Framework, a valuable tool since its 2006 introduction, has been widely utilized to analyze access to various services in diverse contexts, including healthcare. This social constructionist approach examines micro, meso, and macro influences on access, offering concrete explanations for access challenges rooted in socially patterned influences.

Implementation of Virtual Antenatal and Postnatal Urgent Midwifery Visits: Evaluation of a Quality Improvement Initiative.

Women seeking care during the perinatal period often face delays or long waits at healthcare facilities due to lack of providers and/or resources, leading to sub-optimal outcomes. We implemented a program whereby patients with concerns could receive same-day care virtually from a midwife rather than presenting to the clinic or hospital for care. Implementation strategies included virtual training, a staged increase in patient volume, and frequent communication between the midwives via text, email, and monthly meetings.

Describing primary care patterns before and during the COVID-19 pandemic across Canada: a quasi-experimental pre-post design cohort study using national practice-based research network data.

Objective: The objective was to analyse how the pandemic affected primary care access and comprehensiveness in chronic disease management by comparing primary care patterns before and during the early COVID-19 pandemic.

Design: We conducted a quasi-experimental pre-post design cohort study and reported indicators for the 21 months before and after the onset of the COVID-19 pandemic.

Setting: We used electronic medical record data from primary care clinics enrolled in the Canadian Primary Care Sentinel Surveillance Network from 1 January 2018 to 31 December 2021.

Social Media and Nutritional Guidelines in Pregnancy.

Introduction: Nutrition impacts health outcomes of pregnant people and their fetuses. Discussing nutrition with patients may be challenging for health care providers. In this vacuum, patients use social media for health information during pregnancy.