Family physicians with any rostered patients are included at this time. The dashboard can be expanded to family physicians who do not practice in a rostering model on request.

At this time, we are only providing you with data on your rostered patients as noted in your EMR.

Your Group is your FHT, FHO, FHG, or CHC. If there are multiple FHOs in your FHT, then the Group is your FHT. If you are not in one of these models, then the Group are the practitioners who share a physical office location with you.

UPLEARN includes data from primary care practices in Southern Ontario including the 15 core family medicine teaching sites at the University of Toronto.

The data includes a wide variety of EMR elements, including vitals, risk factors (smoking, alcohol), medications and health conditions. These are carefully standardized and curated in order to make the data usable for quality improvement and research. Learn more on the UPLEARN website.

The following chronic conditions are based on algorithms that have been developed and validated by the UPLEARN research team:

Diabetes (Type 1 and Type 2)

Hypertension

Depression/Anxiety

Schizophrenia

Bipolar Disorder

Ischemic Heart Disease

Atrial Fibrillation

Heart Failure

Chronic Obstructive Pulmonary Disease

Chronic Kidney Disease

Click to view complete details on how patients with these chronic conditions are identified in the UPLEARN Technical Appendix (currently not available).

Medications are classified using a linear support vector classifier, trained by a family physician. The medications are grouped in 6 categories:

• Oral antibiotics

• Opioids (excluding methadone and suboxone)

• Opioid addiction treatments (methadone, bupernorphine-naloxone, etc.)

• Benzodiazpeines and z-drugs (zopiclone)

• All other medications

• Non-medications (massage, physiotherapy, glucose test strips, etc.)

The polypharmacy indicator excludes non-medications.

Neighbourhood Income quintile data is based on Statistics Canada neighbourhood income data from 2019. The patient postal code is used to map to a neighbourhood using the Postal Code Conversion file (PCCF+). Quintile 1 refers to the least affluent neighbourhoods, while quintile 5 refers to the most affluent. The quintiles were constructed according to the methods developed at Statistics Canada.

See this link for more information.

Age and gender are derived from patient’s health card.

Virtual and in-person visits are derived from OHIP billing codes.