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Framework for evaluating disease severity measures in older adults with comorbidity
Cynthia M Boyd1, Carlos O Weiss, Jeff Halter
1Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD 21224, USA. cyboyd@jhmi.edu
Existing disease severity classification systems often fail to adequately address multiple concurrent conditions (comorbidity) in older adults. Refinements are needed for better patient care and research in multimorbidity.
Area of Science:
- Gerontology
- Clinical Epidemiology
- Health Services Research
Background:
- Assessing health and function in older adults requires accounting for concurrent conditions.
- Existing disease severity classification systems were not designed for evaluating multiple conditions (comorbidity).
Purpose of the Study:
- To present a framework for evaluating severity classification systems for chronic diseases.
- To assess the utility of current systems in the context of multiple conditions.
Main Methods:
- Developed a framework to evaluate classification systems based on goals, criteria, and reliability/validity.
- Considered the balance between system utility and associated burdens/costs.
Main Results:
- Disease severity classification systems vary widely and were not intended for comorbidity assessment.
- Challenges exist in using disparate systems to assess individual disease severity or global burden in multimorbidity.
Conclusions:
- Current severity classification approaches are generally inadequate for addressing comorbidity.
- Refining existing systems and thoughtfully applying them can improve the study and treatment of multimorbidity.
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