Active support: a systematic review and evidence-based practice evaluation.

The authors hunted for every experiment that tested active support.

They screened studies where staff helped adults with intellectual or developmental disabilities take part in home activities.

Only three experiments met the rules; the team then graded how strong the proof was.

One study showed a clear link between active support and more resident engagement.

The other two showed tiny, up-and-down gains.

Because the effects were small and shaky, the reviewers said the label “evidence-based practice” cannot yet stick.

Moss et al. (2009) pooled 55 staff-training studies and found big gains when lecture was paired with on-the-job coaching.

That meta-analysis sits inside the same evidence lake Diz et al. (2011) drew from, yet the single active-support trials still looked weak.

Yaw et al. (2014) later showed that one hour of lecture plus feedback doubled staff data accuracy—again proving lecture-plus-feedback works, but also showing single-case staff studies often produce strong, clean results.

The contrast is striking: single-case staff training can yield clear effects, so the puny results seen in active-support experiments are not just “small samples”—they may signal the intervention itself needs sharper definition.

If you run residential services, keep using active support as a promising frame, but measure every step.

Track engagement minute-by-minute and add on-the-job coaching plus feedback—the combo the wider literature already backs.

Until larger, cleaner studies arrive, treat active support like a working hypothesis, not a settled brand.