Evaluation of Empirical Pretreatment Assessments for Developing Treatments for Packing in Pediatric Feeding Disorders

Rivero et al. (2020) ran a five-minute multielement probe with four kids who packed food in their cheeks. They cycled through three quick conditions: soft vs hard texture, high-preference vs low-preference bite, and small vs large effort to swallow. Each child got one session per condition and the team watched which condition triggered the most packing.

For three of the four children the brief probe pointed to a clear driver. One child packed only hard textures, one packed only low-preference food, and one packed only large effort bites. The team then built a tiny treatment that removed that single driver. Packing dropped to near-zero for these three kids.

The probe design echoes the component-isolation logic seen in Spriggs et al. (2016) toilet-training study and the 2022 systematic review by S et al. that covered 21 similar analyses. Both papers show you can often toss parts of an intervention once you know which piece matters.

Carter et al. (2020) and Frank-Crawford et al. (2018) warn that preference alone can mislead when work demands rise. Rivero’s probe side-steps this worry by testing preference, texture, and effort in the same five-minute window, so the winning condition is already filtered by real chewing and swallowing demands.

Older preference work by Mueller et al. (2000) and McAdam et al. (2005) proved that a short deprivation period sharpens preference ranks. Rivero builds on that by baking the deprivation into the probe protocol, making the preference arm more sensitive without extra sessions.

You can copy the five-minute probe in your next feeding case. Run texture, preference, and effort conditions once each, watch which one sparks packing, then design a treatment that removes only that piece. No need to guess or run a long functional analysis. If the probe is silent for a child, move to a fuller assessment; if it talks, you save hours and start treatment the same day.