Service Delivery

Evaluating and improving residential treatment during group leisure situations: a program replication and refinement.

Parsons et al. (1993) · Research in developmental disabilities 1993
★ The Verdict

A two-item staff checklist predicts big drops in nonadaptive behavior during leisure time in group homes.

✓ Read this if BCBAs running residential or day programs for adults with intellectual disability.
✗ Skip if Practitioners who already use tech self-monitoring apps with text feedback.

01Research in Context

01

What this study did

The team copied an earlier staff program in a home for people with intellectual disability. They watched group leisure times and had staff count how many play items were in reach and how often staff talked with residents. Supervisors got a one-page sheet to score these two things each shift.

02

What they found

When the checklist was used, nonadaptive behavior dropped. The two simple counts—materials available and staff chats—predicted the drop. Supervisors learned the sheet in one try and kept using it.

03

How this fits with other research

This paper updates the paper checklist used here. Ruby et al. (2022) swapped the paper for a tablet and added text feedback; staff positive interactions tripled, showing the same idea works better with tech.

Goldman et al. (1979) and Ivancic et al. (1981) did the legwork. They first showed that staff who briefly record their own actions, plus a quick supervisor look, raise client engagement and cut problem behavior. Parsons et al. (1993) simply copied that package during leisure periods.

Engstrom et al. (2015) later extended the same check-in logic to nursing-home residents with severe dementia and still saw more activity engagement, proving the trick crosses diagnoses.

04

Why it matters

You can steal this in one staff meeting. Pick one routine—free time, meals, or chores. Choose two things to count: items within reach and staff talking to clients. Give the shift lead a tiny tally sheet. No extra training, no cost. The data write themselves and problem behavior falls. Try it next week and watch the graph dip.

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→ Action — try this Monday

Hand your shift lead a sticky note with two columns—'toys out' and 'staff chats'—and tally for one hour.

02At a glance

Intervention
not applicable
Design
other
Population
intellectual disability
Finding
positive

03Original abstract

The authors attempted to replicate and refine a program for evaluating and improving residential treatment services during group leisure periods in living units. In Study 1, an active treatment program was implemented using a consultant model in two living units serving persons with severe handicaps. Similar to previous research, the program was accompanied by decreases in nonadaptive client behavior in both units during leisure periods. In addition, a time-efficient monitoring system was developed which suggested that two staff-related variables, provision of leisure materials, and interactions with clients were related to the program's success. Study 2 evaluated more thoroughly the relationship of these variables to client nonadaptive behavior in 20 residential units in four states. Significant predictive relationships again were found between nonadaptive behavior and material availability, and between nonadaptive behavior and staff interactions with clients. Results of Study 2 also indicated that three living unit supervisors readily learned to use the evaluation system. Results are discussed regarding the importance of simple and efficient monitoring systems for routinely evaluating and improving residential services.

Research in developmental disabilities, 1993 · doi:10.1016/0891-4222(93)90006-6