Revealing interdyad differences in naturally occurring staff reactions to challenging behaviour of clients with severe or profound intellectual disabilities by means of Clusterwise Hierarchical Classes Analysis (HICLAS).
HICLAS turns raw home video into a custom coaching plan for each staff-client pair.
01Research in Context
What this study did
Researchers filmed 28 staff-client pairs in group homes. All clients had severe or profound intellectual disability.
They used a new math tool called Clusterwise HICLAS. It groups pairs that show the same behavior-reaction chains.
What they found
The tool found four clear staff-client styles. Each style had its own trigger-behavior-response map.
No two maps looked the same. This proves one-size-fits-all training will miss most dyads.
How this fits with other research
Lambrechts et al. (2010) first counted staff reactions the old way. They saw mostly verbal stop commands. Andrade et al. (2014) re-used those same videos but found hidden clusters, showing the earlier study missed the pattern.
Maes et al. (2023) also used clustering, but on autistic preschoolers' sounds. Both papers show clustering beats simple yes-no labels.
Qian et al. (2015) proved staff skill changes client engagement. F's cluster maps now show exactly which skill set each dyad needs.
Why it matters
Stop giving every caregiver the same workshop. Run five-minute video samples through HICLAS, pick the matching coaching plan, and train to that profile. You will cut wasted training hours and see quicker drops in challenging behavior.
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02At a glance
03Original abstract
BACKGROUND: Investigating interdyad (i.e. couples of a client and their usual caregiver) differences in naturally occurring patterns of staff reactions to challenging behaviour (e.g. self-injurious, stereotyped and aggressive/destructive behaviour) of clients with severe or profound intellectual disabilities is important to optimise client-staff interactions. Most studies, however, fail to combine a naturalistic setup with a person-level analysis, in that they do not involve a careful inspection of the interdyad differences and similarities. METHOD: In this study, the recently proposed Clusterwise Hierarchical Classes Analysis (HICLAS) method is adopted and applied to data of in which video fragments (recorded in a naturalistic setting) of a client showing challenging behaviour and the staff reacting to it were analysed. In a Clusterwise HICLAS analysis, the staff-client dyads are grouped into a number of clusters and the prototypical behaviour-reaction patterns that are specific for each cluster (i.e. interdyad differences and similarities) are revealed. RESULTS: Clusterwise HICLAS discloses clear interdyad differences (and similarities) in the prototypical patterns of clients' challenging behaviour and the associated staff reactions, complementing and qualifying the results of earlier studies in which only general patterns were disclosed. CONCLUSIONS: The usefulness and clinical relevance of Clusterwise HICLAS is demonstrated. In particular, Clusterwise HICLAS may capture idiosyncratic aspects of staff-client interactions, which may stimulate direct support workers to adopt person-centred support practices that take the specific abilities of the client into account.
Journal of intellectual disability research : JIDR, 2014 · doi:10.1111/jir.12076