Do family medicine residents optimally prescribe antibiotics for common infectious conditions seen in a primary care setting?

Background: Antimicrobial resistance is a worldwide phenomenon that leads to a significant number of unnecessary deaths and costly hospital admissions. More than 90% of antibiotic use happens in the community and of this, family physicians account for two-thirds of these prescriptions. Our study aims to determine whether family medicine residents are optimally trained in antibiotic prescribing for common infectious conditions seen in a primary care setting.

Assessing the Validity of Electronic Medical Records for Identifying High Antibiotic Prescribers in Primary Care.

Objectives: Electronic medical record (EMR) prescription data may identify high antibiotic prescribers in primary care. However, practitioners doubt that population differences between providers and delayed antibiotic prescriptions are adequately accounted for in EMR-derived prescription rates. This study assessed the validity of using EMR prescription data to produce antibiotic prescription rates, accounting for these factors.

Development of a low resource exercise rehabilitation application for musculoskeletal disorders to help underserved patients in a primary care setting.

Objective: We set out to create a Family Medicine EHR (electronic health record) embedded exercise application. This was done to evaluate the utility of the exercise app for providers and to understand the usefulness of the exercise app from the perspective of patients.

Methods: This exercise application was developed through an iterative process with repeated pre-testing and feedback from an interprofessional team and embedded into the EHR at an academic family medicine clinic.

Documenting the indication for antimicrobial prescribing: a scoping review.

Background: Documenting an indication when prescribing antimicrobials is considered best practice; however, a better understanding of the evidence is needed to support broader implementation of this practice.

Objectives: We performed a scoping review to evaluate antimicrobial indication documentation as it pertains to its implementation, prevalence, accuracy and impact on clinical and utilisation outcomes in all patient populations.

Eligibility Criteria: Published and unpublished literature evaluating the documentation of an indication for antimicrobial prescribing.

Specialist wait time reporting using family physicians' electronic medical record data: a mixed method study of feasibility and clinical utility.

Background: More than 50% of Canadian adult patients wait longer than four weeks to see a specialist after referral from primary care. Access to accurate wait time information may help primary care physicians choose the timeliest specialist to address a patient's specific needs. We conducted a mixed-methods study to assess if primary to specialist care wait times can be extracted from electronic medical records (EMR), analyzed the wait time information, and used focus groups and interviews to assess the potential clinical utility of the wait time information.