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Utilizing AMPS ability measures to predict level of community dependence
1School of Occupational Therapy at Dalhousie University, Halifax, Nova Scotia, Canada. b.merritt@dal.ca
Assessment of Motor and Process Skills (AMPS) ability measures effectively determine community dependence levels. New AMPS cutoff scores help identify individuals needing significant assistance, supporting community living decisions.
Area of Science:
- Occupational therapy
- Rehabilitation science
- Functional assessment
Background:
- Determining community dependence levels is crucial for effective occupational therapy interventions.
- Existing methods for assessing functional abilities and community living needs require robust validation.
Purpose of the Study:
- To evaluate the efficacy of Assessment of Motor and Process Skills (AMPS) ability measures in assessing community dependence.
- To establish new cutoff measures using AMPS data for classifying levels of assistance needed for community living.
Main Methods:
- Utilized a large dataset (n=64,466) from the AMPS International Project database, including adults globally with diverse diagnoses.
- Employed Receiver Operating Characteristic (ROC) curve analysis to assess the discriminative power of AMPS motor and process ability measures.
- Proposed new AMPS logit cutoff scores for demarcating maximal assistance levels.
Main Results:
- AMPS motor and process ability measures demonstrated fair (ROC AUC=0.74) to good (ROC AUC=0.82) discrimination for identifying the need for moderate to maximal assistance.
- New cutoff measures were established: 1.00 logit for motor ability (sensitivity=0.70, specificity=0.66) and 0.70 logit for process ability (sensitivity=0.79, specificity=0.69).
- Highest accuracy was achieved when motor and process ability assessments aligned, particularly in a subset of 30,835 participants.
Conclusions:
- AMPS ability measures serve as valid evidence for determining an individual's level of community dependence.
- The study introduces novel, evidence-based AMPS cutoff measures for classifying community independence and the need for maximal assistance.
- These findings provide clinicians with refined tools for making informed decisions regarding client support and community integration.
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