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Estimating measurement error when annualizing health care costs
Ariel Linden1, Steven J Samuels
1Linden Consulting Group, Ann Arbor, Michigan, USA; Department of Health Policy & Management, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Health insurers annualizing healthcare costs from partial data introduces significant measurement errors. Alternative methods are recommended to improve cost metric accuracy for better decision-making.
Area of Science:
- Health economics
- Health services research
- Biostatistics
Background:
- Health insurers use cost annualization to estimate yearly healthcare expenditures.
- This practice is crucial for reporting, identifying high-cost individuals, and evaluating health management programs.
- However, extrapolating yearly costs from less than 12 months of data may introduce measurement errors.
Purpose of the Study:
- To systematically estimate the measurement error associated with the annualization of healthcare costs.
- To assess the accuracy of annualized cost predictions across different insured populations.
Main Methods:
- A retrospective observational study design was employed using longitudinal claims data.
- Data from three distinct insured populations were analyzed: Medicare managed care, public employees, and a self-insured employer.
- Accuracy was evaluated by calculating absolute error (AE) and absolute percentage error (APE) between actual and predicted annual costs.
Main Results:
- Even with 11 months of data, mean AE ranged from $400 to $2700, and mean APE was between 9.6% and 11.0%.
- Measurement accuracy significantly decreased as the number of months of available data reduced.
- Substantial measurement errors were observed due to the inherent unpredictability of monthly healthcare costs.
Conclusions:
- Annualizing healthcare costs from incomplete data can lead to considerable measurement errors.
- The study highlights the need for improved methods to ensure accurate cost metrics for informed decision-making in healthcare management.
- Alternative approaches to cost annualization are proposed for insurers to enhance measurement accuracy.
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