This study was a retrospective analysis comparing eConsult cases submitted on behalf of LTC residents (“LTC cases”) versus cases submitted on behalf of community-dwelling older adults (“community cases”), using a 1:1 matching design based on patient age and gender. Cases were characterized by 1) a text-parsing computer algorithm to identify frailty-related terms in the text of communication logs, and 2) a clinician-led review of cases to provide clinical judgement of the level of frailty-related content in the eConsult. Study conception, design, and interpretation of findings were conducted with a multidisciplinary team (see "Patient and Public Involvement” in Supplemental Methods).
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