Using clinical algorithms to identify psychosocial distress and other risk factors in cancer survivors.
2015
242 Background: Late effects, such as pain and fatigue, increase a cancer survivors' risk to psychosocial distress. Assessment and identification of distress and other risk factors can be integrated into survivorship care. Yet, clinical tools and processes needed to coordinate these efforts are severely limited. Here we describe the processes and metrics used to assess and document distress in the survivorship care plans (SCPs) of survivors diagnosed with colon and rectal cancers (CC and RC). Methods: Eligibility criteria for this longitudinal analysis included being: ≥ 18 years, diagnosed with a primary colon/rectal cancer, no evidence of disease ≥ 5 years, seen between 09/01/2011 - 8/31/2014, and alive at time of data abstraction. 117 survivors met these criteria and the first 50 sequential cases were included in this sub-analysis. Data were collected at Visits 1, 2, and 3 within specific time parameters. Data sources included the SCP, electronic medical records (EMRs), and CC/RC algorithms. Variables i...
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