The Potential of Claims Data to Support the Measurement of Health Care Quality
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Annual health care expenditures in the United States currently exceed $1.5 trillion. However, information on the level of health care quality resulting from these expenditures suggests that millions of Americans fail to receive adequate care. The author examines whether the use of claims data for measuring health care quality is being fully realized and identifies the types of electronic data, if available, that could increase the potential for quality measurement. The strengths and limitations of quality measurement with claims data were assessed through two separate analyses. First, more than 550 quality-of-care indicators were analyzed to determine whether they could be assessed with claims data. A separate analysis compared claims data and medical records data to assess the accuracy of quality measurement with claims data. The author found that while widespread quality measurement relying extensively on medical records provides fuller and more-accurate information, the associated costs are prohibitively high for most organizations. She discusses four options for health care quality measurement: (1) the status quo; (2) expanded use of claims data, possibly augmented with certain types of information; (3) expanded use of medical records; and (4) expanded use of both claims data and medical records.
Table of Contents
All Prefatory Materials
Conceptualizing and Measuring Quality of Care
Assessing the Feasibility of Measuring Quality with Claims Data
The Accuracy of Quality Measurement with Claims Data
Moving Quality Measurement Forward
Tabular Results: Increasing Capacity for Quality Measurement
Indicators Used to Assess Agreement
Claims Data Specifications
Semi-Standardized Regression Coefficients