Description and evaluation of a function-informed and mechanisms-based framework for treating challenging behavior.

Area of Science:

• Behavior Analysis
• Clinical Psychology
• Special Education

Background:

• Individualized and iterative treatment design is crucial for challenging behavior.
• Validated frameworks for iterative processes in behavior analysis are limited.
• Evaluating decision-tree processes in single-case designs presents empirical challenges.

Purpose of the Study:

• To describe a function-informed and mechanisms-based (FIMB) framework for selecting treatment components.
• To evaluate the effectiveness of the FIMB framework in a university practicum setting.
• To analyze treatment procedure selection and client outcomes over a 6-year period.

Main Methods:

• Development and implementation of a function-informed and mechanisms-based (FIMB) framework.
• Retrospective consecutive case series analysis over a 6-year period.
• Technique analysis to identify commonly selected procedures and their impact on outcomes.

Main Results:

• The FIMB framework was utilized in a university practicum for pre-service practitioners.
• Analysis identified frequently selected treatment procedures within the practicum.
• The model demonstrated effectiveness for a subset of clients, indicating variable outcomes.

Conclusions:

• The function-informed and mechanisms-based (FIMB) framework offers a structured approach to individualized treatment for challenging behavior.
• The framework's effectiveness varies across cases, underscoring the importance of ongoing assessment and adaptation.
• Further research is needed to refine iterative processes and decision-making in behavior treatment.