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Multilevel Predictors of Case Managers' Assessment Administration Behavior in a Precursor to a Measurement Feedback
Matthew Milette-Winfree1, Brad J Nakamura2, Amelia Kotte3
1Department of Psychology, University of Hawai'i at Mānoa, 2500 Dole St. Sakamaki Hall, C-400, Honolulu, HI, 96822, USA. mwinfree@hawaii.edu.
This study identified factors influencing the use of the Ohio Scales for treatment monitoring in youth mental health. Case manager experience and caseload characteristics, like fewer active cases, were linked to higher assessment administration rates.
Area of Science:
- Mental Health Services Research
- Clinical Assessment
- Public Health Systems
Background:
- Treatment monitoring is crucial for effective youth mental health services.
- The Ohio Scales are a key assessment measure for tracking treatment progress.
- Understanding factors influencing assessment use is vital for system improvement.
Purpose of the Study:
- To examine factors associated with the administration of the Ohio Scales.
- To identify predictors of assessment use in a youth public mental health setting.
- To inform the development of measurement feedback systems.
Main Methods:
- A multi-level model was employed to analyze data from state case managers.
- Data included case manager interviews and Ohio Scale administration records over 12 months.
- The model accounted for variance at both case manager and administrative office levels.
Main Results:
- 82% of case managers administered at least one Ohio Scale.
- Lower case manager burnout and more experience predicted higher administration rates.
- Fewer active cases, younger client age, and longer time since initial assessment also predicted increased administration.
Conclusions:
- Case manager and caseload characteristics significantly influence the administration of treatment monitoring assessments.
- Findings support the integration of measurement feedback systems in youth mental health.
- Optimizing assessment administration can enhance treatment monitoring and service delivery.
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