| Article Title: | Comparing cost-of-illness estimates from alternative approaches: an application to diabetes |
| Publication: | Health Services Research |
| Type: | Journal Article |
| Date: | 2009 Feb |
| Authors: | Honeycutt, A.A., Segel, J.E., Hoerger, T.J., Finkelstein, E.A. |
| Abstract: | OBJECTIVE: To compare disease cost estimates from two commonly used approaches. DATA SOURCE: Pooled Medical Expenditure Panel Survey (MEPS) data for 1998-2003. STUDY DESIGN: We compared regression-based (RB) and attributable fraction (AF) approaches for estimating disease-attributable costs with an application to diabetes. The RB approach used results from econometric models of disease costs, while the AF approach used epidemiologic formulas for diabetes-attributable fractions combined with the total costs for seven conditions that result from diabetes. DATA EXTRACTION: We used SAS version 9.1 to create a dataset that combined data from six consecutive years of MEPS. PRINCIPAL FINDINGS: The RB approach produced higher estimates of diabetes-attributable medical spending ($52.9 billion in 2004 dollars) than the AF approach ($37.1 billion in 2004 dollars). RB model estimates may in part be higher because of the challenges of implementing the two approaches in a similar manner, but may also be higher because they capture the costs of increased treatment intensity for those with the disease. CONCLUSIONS: We recommend using the RB approach for estimating disease costs whenever individual-level data on health care spending are available and when the presence of the disease affects treatment costs for other conditions, as in the case of diabetes |
| Online Resources: | PubMed Citation |
| Full Citation: | Honeycutt, A.A., Segel, J.E., Hoerger, T.J., & Finkelstein, E.A. (2009 Feb). Comparing cost-of-illness estimates from alternative approaches: an application to diabetes. Health Services Research, 44 (1):303-320. |
