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Research article summary:
The need for evolution in healthcare decision modeling.
Abstract Extract:
STATEMENT OF PROBLEM: Many healthcare decisions are difficult because they are complex and have important consequences such as the impact on survival or quality-of-life of individuals and on allocation of limited resources. The present state-of-the-art ... (Full abstract text below) Published 2003Sep
in Journal: Med Care
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Med Care.
2003 Sep;41(9):1024-33
The need for evolution in healthcare decision modeling.
Lee RC, Donaldson C, Cook LS
Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada. rclee@ucalgary.ca
STATEMENT OF PROBLEM: Many healthcare decisions are difficult because they are complex and have important consequences such as the impact on survival or quality-of-life of individuals and on allocation of limited resources. The present state-of-the-art in healthcare decision modeling is often inadequate to properly assess these decisions. METHODS: Based on a literature search and the experience of the authors, typical methodologies used in healthcare decision analysis modeling are explored and compared with methods used in other practices. An example of hormonal therapy decisions is used. RESULTS: Useful methods that have been developed in other fields are presented. These include methods targeted toward appropriate assessment and representation of the complexity of decisions, assessment of uncertainty, use of nonexpected value decision analysis, and use of multi-attribute decision criteria. CONCLUSION: The state-of-the-art in healthcare decision modeling can be improved through learning from other practices.
PMID : 12972842 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Robert C | Lee | RC |
| Cam | Donaldson | C |
| Linda S | Cook | LS |
Affiliation: Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada. rclee@ucalgary.ca
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MESH categories and related page links
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Category links from this article:- Decision Making
- Decision Support Techniques
- Estrogen Replacement Therapy
- Female
- Health Services Research
- Humans
- Risk Factors
- Uncertainty
- Women's Health
| | Related Memletics topics: |
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