Abstract
Background: High-dose interleukin-2 is a therapy available for individuals with renal cell carcinoma; however, it can produce adverse effects, specifically depressive symptoms. There is limited information regarding the trajectory of depressive symptoms and measurement-based care assessment of depressive symptoms.
Objective: The purpose was to describe the trajectory of depressive symptoms and compare 2 depression measures.
Methods: A descriptive, mixed-method case study approach was used to describe the longitudinal trajectory of depressive symptoms The qualitative assessment included a journal entry and an interview. The quantitative depression symptom severity measures included the 8-item self-report Patient-Reported Outcomes Measurement Information System Depression and the 30-item Inventory of Depressive Symptomatology-Clinician Rated (IDS-C).
Results: Ten cases were enrolled. The maximum number of interleukin-2 doses that any patient received within a single hospitalization ranged from 4 to 12. Mean scores on the 8-item Patient-Reported Outcomes Measurement Information System Depression showed no changes in depressive symptoms from pretreatment to posttreatment, nor across hospitalizations. Mean total scores on the IDS-C increased from "normal" to "mild severity" depressive symptom range across all treatment cycles, suggesting transient depressive symptoms within hospitalizations. Qualitative data from the case supported the IDS-C increase, suggesting that the patient developed depressive symptoms pretreatment to posttreatment.
Conclusions: Understanding the trajectory of depressive symptoms allows for the identification of critical time points when depressive symptoms present and change across treatment. It is critical to use measurement-based care using validated measures to assess for the presence and changes in depressive symptoms.
Implications for Practice: Validated self-report or clinician-rated depression symptom measures should be used to document the presence or absence of depressive symptoms in this population.