Biobehavioral Intervention to Enhance Hematopoietic Stem Cell Transplant Recovery

Hematologic cancer patients undergoing hematopoietic stem cell transplantation (HSCT) frequently experience physical and psychological sequelae that impair their quality of life and undermine recovery. Findings from the investigators' laboratory and others indicate that insomnia, fatigue, and depression are among the most persistent, distressing, and debilitating quality-of-life concerns after HSCT. These symptoms co-occur as a "cluster" among cancer patients. Modifying sleep and circadian rest-activity patterns has been suggested to be a particularly promising intervention strategy for alleviating this symptom cluster. The proposed project will therefore evaluate the feasibility and acceptability of a biobehavioral intervention to alleviate insomnia, fatigue, and depression by optimizing sleep and rest-activity patterns during the first 4 months following HSCT. Evidence-based behavioral strategies to enhance the quality of nighttime sleep and increase engagement in non-sedentary daytime activity will be combined to optimize 24-hour rest-activity patterns. These non-pharmacologic approaches can be taught in a few brief sessions and will be delivered in an individual format tailored to each patient. The investigators have already refined the intervention based on preliminary feasibility testing in a small sample of HSCT recipients and are now conducting a pilot RCT to compare the refined intervention with usual care among adults recovering from HSCT. Semi-structured interviews will determine participant satisfaction with and acceptability of the intervention. Proposed outcome assessments will also be piloted, including patient-reported fatigue, depression, and insomnia measures and actigraphy assessments. The primary goal is to evaluate the feasibility and acceptability of the intervention. The exploratory goal is to conduct a preliminary test of the efficacy of the intervention to determine estimates of variance and effect sizes for determination of power and sample size for a larger trial.