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Feedback-informed treatment uses measured progress to inform decisions during psychological treatment. It adds an action loop to routine outcome monitoring: collect an outcome, compare the trajectory with an expected pattern, provide interpretable outcome feedback, and review what to do when progress is poor. Merely collecting scores does not test the complete feedback-and-response process.

Jaime Delgadillo and collaborators tested an outcome-feedback intervention against usual care in a cluster-randomized trial. Therapists were randomized; the analysis included 2,233 patients treated by 77 participating therapists. The intervention alerted therapists to patients at risk of a poor response and supported clinical review. Outcomes among patients treated by the same therapist therefore need to be considered within the trial's clustered design.^[ref]

Evidence for that arrangement is evidence about the tested instruments, alert rule and clinical response. It does not establish that any score dashboard, by itself, produces the same outcome. The intervention's effects must be assessed against its comparison condition and prespecified outcomes.

A researcher who tested feedback-informed treatment for depression and anxiety. In a trial assigning therapists to different treatment conditions, progress feedback identified patients whose outcomes were off track. This design evaluates whether giving clinicians systematic outcome information improves treatment, while accounting for patients being clustered within therapists.^[ref]