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Heterogeneity of Treatment Effect in a Randomized Trial of a Communication Intervention
Ann L Jennerich1, Lois Downey1, Ruth A Engelberg1
1Department of Medicine (A.L.J., L.D., R.A.E., J.R.C.), Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (A.L.J., L.D., R.A.E., J.R.C.), University of Washington, Seattle, Washington, USA.
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.
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