Using Electronic Health Records to Identify Asthma-Related Acute Care Encounters.

Objective: Leveraging "big data" to improve care requires that clinical concepts be operationalized using available data. Electronic health record (EHR) data can be used to evaluate asthma care, but relying solely on diagnosis codes may misclassify asthma-related encounters. We created streamlined, feasible and transparent prototype algorithms for EHR data to classify emergency department (ED) encounters and hospitalizations as "asthma-related.

Conceptualizations of health, ability to act upon those definitions and desire for supports among families from historically marginalized communities.

Respect for parents' values and clinician-parent collaboration is less common among families from historically marginalized communities. We investigated how parents from marginalized communities operationalize health and their preferences for paediatric primary care. We recruited families who spoke English, Haitian Creole or Spanish with at least one child younger than 6 years old.