1. Heterogeneity of Treatment Effect in a Randomized Trial of a Communication Intervention.
- Author
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Jennerich, Ann L., Downey, Lois, Engelberg, Ruth A., and Curtis, J. Randall
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TREATMENT effectiveness , *RECURSIVE partitioning , *ELECTRONIC health records , *TREATMENT effect heterogeneity , *PSYCHOLOGICAL distress , *MEDICAL quality control , *RESEARCH , *EVALUATION research , *COMPARATIVE studies , *COMMUNICATION , *EXERCISE - Abstract
Context: Interventions to promote serious illness conversations have shown promise in promoting high-quality care. However, in randomized trials, some participants may benefit more from the intervention than others.Objectives: To examine heterogeneity of treatment effect and identify subgroups of patients with serious illness who might benefit most from interventions to enhance communication about goals of care.Methods: We used data from a multi-center cluster-randomized trial evaluating a communication intervention to increase goals-of-care discussions in the outpatient setting. Patients (n = 249 intervention, n = 288 usual care) had serious illness with an expected median survival of two years. Using model-based recursive partitioning, we tested heterogeneity of the intervention's effect on the occurrence of patient-reported goals-of-care discussions, electronic health record documentation of goals-of-care discussions, patients' ratings of quality of communication, and patients' symptoms of psychological distress at three and six months.Results: We found two significant interactions. For patients' overall rating of clinician communication (n = 251), the intervention effect was positive for patients with higher household income, but not those with lower income (P < 0.001). For patients' symptoms of depression at six months (n = 288), the intervention was associated with fewer symptoms of depression among those whose self-assessed health was poor, but not among those with fair to excellent health (P < 0.001).Conclusions: Identifying heterogeneity of treatment effect can be a valuable exercise following completion of a randomized trial. Interactions between the intervention and patient income and self-assessed health suggest these factors could be used to design more effective interventions to enhance communication about goals of care. [ABSTRACT FROM AUTHOR]- Published
- 2022
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