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A spreadsheet method for calculating maximum caseload and intake capacity for CMHC psychiatrists
1Mental Health Mental Retardation Authority of Harris County, Houston, TX 77002, USA.
Psychiatric Services (Washington, D.C.)
|December 24, 1997
Summary
Community mental health centers can optimize psychiatric staffing using a data-driven spreadsheet method. This approach balances cost-efficiency with high-quality patient care by calculating accurate caseload and intake capacities.
Area of Science:
- Health Services Research
- Mental Health Administration
- Psychiatric Workforce Management
Background:
- Community mental health centers (CMHCs) face challenges in determining optimal psychiatric staffing levels.
- Balancing cost-efficiency with high-quality care is crucial for effective mental health service delivery.
Purpose of the Study:
- To develop and evaluate a method for administrators to determine cost-efficient psychiatric staffing in CMHCs.
- To ensure high quality of care through data-driven staffing decisions.
Main Methods:
- A survey of psychiatrists in a CMHC assessed direct care hours, visit intervals, and appointment durations.
- A computer spreadsheet model was created to calculate clinic caseload and intake capacity.
Main Results:
- Psychiatrists averaged 33 hours/week for direct care.
- Mean intervals for medication maintenance visits were 7.3 weeks.
- Psychiatric assessments averaged 80 minutes; maintenance visits averaged 33 minutes.
Conclusions:
- A data-based approach enhances objectivity in staffing decisions.
- This method improves resource management and stakeholder relations.
- The capacity calculation model can be adapted to specific local needs.
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