Dropout

Dropout is when a participant leaves a study before it ends, or a patient stops a treatment before completing it.

This term is specific to research interpretation and is defined on AnxietyResearch. Shrinktionary, the network's language layer, doesn't currently carry a canonical entry for it.

Dropout is more than a missing data point. It often carries information. People frequently leave a study or stop a treatment because it isn't helping, or because the side effects are hard to tolerate. A high dropout rate is itself a finding about a treatment.

Dropout rates are a quiet but important part of any anxiety trial. A treatment with strong results but very high dropout may be hard to tolerate in practice. Comparing dropout rates between the treatment group and the control group can reveal a side-effect burden that the headline result hides.

A medication trial reports good symptom improvement but a 30 percent dropout rate in the drug group versus 10 percent in the placebo group. The gap suggests side effects drove people out, which matters for real-world use.

Watch how a trial handled dropouts. An intention-to-treat analysis keeps them in the count and gives a more honest result. A per-protocol analysis that drops them can make a hard-to-tolerate treatment look better than it is.