Comparison of patient-reported symptoms with multi-item patient-reported outcome measures of fatigue, anxiety, and depression in the clinical care of women undergoing chemotherapy for early breast cancer.

BACKGROUND: As patient-reported symptoms are increasingly incorporated into routine clinical practice and captured in electronic medical records these data can be used to conduct health-related quality of life research studies. This study compares symptom reports from the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and its precursor patient reported symptom monitoring (PRSM) (hereafter PRSM/PRO-CTCAE) with multi-item patient-reported outcome (PRO) scales for fatigue (Functional Assessment of Chronic Illness Therapy/FACIT-Fatigue) and depression and anxiety (Mental Health Index/MHI). METHODS: This is a secondary analysis of data collected from women with early breast cancer (Stage I-III) scheduled for chemotherapy who completed PRSM/PRO-CTCAE, FACIT-Fatigue, and MHI scales pre- and post-chemotherapy. Spearman correlation coefficients estimated the magnitude and direction of correlations between measures (convergent validity). For each symptom, patients were then categorized based on who improved, stayed the same, or worsened on the composite PRSM/PRO-CTCAE score, and changes in scores on the PRO scales were compared. RESULTS: In a sample of 374 women, mean age was 57 years (SD 12.6) with 76% White. PRSM/PRO-CTCAE fatigue measures were strongly correlated with FACIT-Fatigue total scale and had mixed moderate to strong correlation for individual items within the FACIT-Fatigue scale. PRSM/PRO-CTCAE Sad and Anxiety measures were strongly correlated with MHI-Depression and MHI-Anxiety total scales, respectively, and had mixed moderate to strong correlation with individual items within the MHI subscales. PRSM/PRO-CTCAE pre-post changes in symptom scores mirrored pre-post changes in FACIT-Fatigue and MHI subscales.

Duke Scholars

Author Bryce B. Reeve Population Health Sciences