Spencer P Falcon
Biographic Data
| ID | 5535795 |
|---|---|
| NAME | Spencer P Falcon |
| GIVEN NAMES | Spencer P |
| FAMILY NAME | Falcon |
| SIGNATURE | FALCON S P |
| AFFILIATIONS | University of Michigan |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 1990 |
| H-INDEX | 0 |
A Classification System for Long-Staying Psychiatric Patients
Data on a sample of 890 Veteran's Administration long-staying psychiatric patients were studied to develop a classification system that explains actual daily resource use. Disturbed patients with lengths of stay of less than three years and those with psychotic conditions who are not withdrawn represent the two groups found to use significantly more resources in their daily care. The Long-Stay Psychiatric Patient Classification (LPPC) System, wit…
A Psychiatric Patient Classification System
It is generally accepted that diagnosis-related groups (DRGs) for alcohol, drug, and mental disorders are inappropriate for inpatient prospective payment. To address this issue, the Veterans Administration (VA) supported a project to construct alternative classes that are more clinically meaningful, more homogeneous in their resource use, and that account for more variation in resource use among psychiatric and substance use cases than existing D…
No prominent works on this page.
A Psychiatric Patient Classification System
It is generally accepted that diagnosis-related groups (DRGs) for alcohol, drug, and mental disorders are inappropriate for inpatient prospective payment. To address this issue, the Veterans Administration (VA) supported a project to construct alternative classes that are more clinically meaningful, more homogeneous in their resource use, and that account for more variation in resource use among psychiatric and substance use cases than existing D…
A Classification System for Long-Staying Psychiatric Patients
Data on a sample of 890 Veteran's Administration long-staying psychiatric patients were studied to develop a classification system that explains actual daily resource use. Disturbed patients with lengths of stay of less than three years and those with psychotic conditions who are not withdrawn represent the two groups found to use significantly more resources in their daily care. The Long-Stay Psychiatric Patient Classification (LPPC) System, wit…
Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Case mix index (1 work) · Chronic Disease Management Strategies (1 work) · Computer Science (1 work) · Healthcare Policy and Management (1 work) · Machine Learning in Healthcare (1 work) · MEDLINE (1 work) · Mental Health Treatment and Access (1 work)