Denise M. Hynes

Information systems are increasingly important for measuring and improving health care quality. A number of integrated health care delivery systems u

Our primary objective is to provide an overview of database and informatics support for the Department of Veterans Affairs (VA) Quality Enhancement Research Initiative (QUERI). We discuss the role of information technology resources in the QUERI process. We also review current VA information systems and specific databases in terms of strengths and weaknesses for addressing the QUERI goals. A synthesis of the issues and strategies for addressing specific data needs are presented by use of examples from 2 of the QUERI disease modules: Diabetes Mellitus and Human Immunodeficiency Virus. Finally, we discuss issues that need to be considered during development of new information systems to address the needs of clinical quality-improvement efforts. Quality enhancement in VA health care requires coordination and careful planning among clinical, administrative, research, policy, and information technology leaders to ensure that key clinical process and outcome measures are reliably collected in the VA information systems. As the QUERI progresses, data needs will probably shift from addressing data gaps to developing approaches for feedback and evaluation. Continued and enhanced cooperation among all VHA business processes is vital to the success of the QUERI.

Objectives. Our primary objective is to provide an overview of database and informatics support for the Department of Veterans Affairs (VA) Quality Enhancement Research Initiative (QUERI). Methods. We discuss the role of information technology resources in the QUERI process. We also review current VA information systems and specific databases in terms of strengths and weaknesses for addressing the QUERI goals. A synthesis of the issues and strategies for addressing specific data needs are presented by use of examples from 2 of the QUERI disease modules: Diabetes Mellitus and Human Immunodeficiency Virus. Finally, we discuss issues that need to be considered during development of new information systems to address the needs of clinical quality-improvement efforts. Conclusions. Quality enhancement in VA health care requires coordination and careful planning among clinical, administrative, research, policy, and information technology leaders to ensure that key clinical process and outcome measures are reliably collected in the VA information systems. As the QUERI progresses, data needs will probably shift from addressing data gaps to developing approaches for feedback and evaluation. Continued and enhanced cooperation among all VHA business processes is vital to the success of the QUERI.

Objectives. The interest in the economic impact of new health care interventions has increased dramatically over recent years; however, the results can be highly variable depending upon the economic assumptions made and the approaches taken in collecting the data and in conducting the analyses. This paper describes experiences from the VA Cooperative Studies Program in measuring health care utilization and costs for studies that evaluate clinical interventions. Methods. Experiences from two multisite randomized clinical trials (RCTs) are highlighted to illustrate strategies used to measure costs by directly measuring health care utilization and economic data within the context of the trials. Conclusions. Despite the substantial resources required to gather evidence about the cost of care for health care innovations, future VA multisite studies should include accepted health economic approaches to make important contributions to health planning and health policy within and outside the VA health care system.