title: Using databases for studying and comparing health care costs and resource use.
abstract: Data sources such as medical insurance claims are increasingly used in health outcomes research. We present opportunities and limitations associated with the use of such data for conducting studies of health care costs and resource use. We also provide examples on using databases for conducting research when the primary objective is to study costs or resource use. This information is intended to be helpful to experienced health services researchers and to those new to the field of either outcomes research or cost effectiveness research. We examine the reasons for using databases to study costs and resource use, desirable attributes of databases used for this purpose, potential pitfalls, other issues associated with conducting cost and resource use studies with databases, and appropriate methods for this research. Through examples and references, we examine issues to be considered in each of these areas, and make recommendations. Strengths and limitations of databases are indicated. Research using claims data to determine health care cost and resource use should be carried out responsibly. Limitations must be acknowledged for research using databases, and appropriate methods must be used. Still, databases represent a rich opportunity to conduct research in health care costs and resource use, and much can be learned using databases.
authors.affiliation: Eli Lilly and Company, Department of Medicine, Indiana University, Indianapolis, IN, USA. melfi@lilly.com
authors.forename: C A
authors.initials: CA
authors.lastname: Melfi
mesh_terms: D019992:Databases as Topic / Q000706:statistics & numerical data*; D017048:Health Care Costs / Q000706:statistics & numerical data* / Q000639:trends; D015276:Health Care Rationing / Q000191:economics / Q000639:trends; D006295:Health Resources / Q000191:economics / Q000706:statistics & numerical data / Q000639:trends; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data