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Evaluating the Quality of Rural Intensive Case Management Services using Administrative Data: an Exploratory Study
1New England Mental Illness, Research, Education and Clinical Center, VA Connecticut Health Care System 950 Campbell Ave/182, West Haven, CT, 06516, USA. Somaia.Mohamed@yale.edu.
Low-cost administrative data effectively identifies programs conforming to the Assertive Community Treatment (ACT) model for severe mental illness in rural veterans. This method aids in ensuring quality care delivery.
Area of Science:
- Health Services Research
- Mental Health Services
- Rural Health
Background:
- Assertive Community Treatment (ACT) is effective for severe mental illness (SMI) and is expanding in rural settings.
- Evaluating ACT fidelity in rural areas requires cost-effective methods to ensure intended service delivery.
- The Veterans Health Administration (VHA) implemented an ACT-like program (Mental Health Intensive Case Management - ACT/ICM) for rural SMI veterans.
Purpose of the Study:
- To demonstrate the use of administrative data for characterizing services in rural ACT/ICM programs.
- To compare rural ACT/ICM programs with general mental health programs and with each other.
- To identify programs conforming to a typical rural ACT/ICM model using low-cost methods.
Main Methods:
- Utilized administrative data from 298,509 veterans receiving mental health services in FY 2012.
- Employed logistic regression to identify characteristics distinguishing ACT/ICM patients.
- Applied propensity scores to identify programs most and least conforming to the ACT/ICM profile.
Main Results:
- ACT/ICM patients were characterized by diagnoses of schizophrenia, bipolar disorder, major depression, and high service utilization.
- The logistic regression model achieved a high c statistic of 0.91.
- Propensity scores successfully differentiated programs based on fidelity to the rural ACT/ICM model.
Conclusions:
- Low-cost administrative data can effectively identify programs adhering to an empirically derived rural ACT/ICM model.
- This approach supports quality assurance for ACT services in rural mental health settings.
- Further validation of this administrative data-driven fidelity evaluation is recommended.
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