Estimating the impact of health services in a community.
The advantages of clinical and mechanical combination of observations for prediction are mutually reinforced by an application of Bayesian statistics. The technique is shown to be particularly advantageous in a situation which is characterized by a paucity of observations available to suppliment a prior expert judgment. The approach also presents a basis for evaluating relative expertise and tracing the learning experience of experts. Taking the community as the organizational level of analysis, data on the classification of aged persons in Durham County, North Carolina, and data on the changes in classification of these individuals within the population over time are gathered and studied. These data are combined with clinical judgments of changes as a demonstration of the merits of the technique developed in this paper.
Duke Scholars
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Related Subject Headings
- Workforce
- United States
- Statistics as Topic
- Quality of Health Care
- Humans
- Dementia
- Community Mental Health Services
- Clinical Competence
- Business & Management
- Aged
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Workforce
- United States
- Statistics as Topic
- Quality of Health Care
- Humans
- Dementia
- Community Mental Health Services
- Clinical Competence
- Business & Management
- Aged