Testing a Model for Combining Health Condition Scores
Author Information
Author(s): William Flanagan, Cameron McIntosh, Christel Le Petit, Jean-Marie Berthelot
Primary Institution: Health Analysis and Measurement Group, Statistics Canada
Hypothesis
Can a multiplicative model accurately combine utility scores for co-morbid health conditions?
Conclusion
The study found that a simple multiplicative model is effective for calculating utilities for co-morbid conditions.
Supporting Evidence
- The multiplicative model was optimized with a synergy coefficient of 0.99.
- The model's fit was replicated with different datasets from the Canadian Community Health Survey.
- Average health utility scores were computed for various combinations of chronic conditions.
Takeaway
This study shows that when people have multiple health problems, we can use a simple math rule to figure out how much those problems affect their overall health.
Methodology
The study used data from the Canadian Community Health Survey to compute average health utility scores for single and co-morbid conditions.
Potential Biases
Self-reported data may lead to underestimation of chronic conditions.
Limitations
The model may not predict individual outcomes and was tested primarily on mild chronic conditions.
Participant Demographics
The study included a nationally representative sample of Canadians aged 12 and over.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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