Toward an applied technology for quality measurement in health care.
Cost containment, financial incentives to conserve resources, the growth of for-profit hospitals, an aggressive malpractice environment, and demands from purchasers are among the forces today increasing the need for improved methods that measure quality in health care. At the same time, increasingly sophisticated databases and the existence of managed care systems yield new opportunities to observe and correct quality problems. Research on targets of measurement (structure, process, and outcome) and methods of measurement (implicit, explicit, and sentinel methods) has not yet produced managerially useful applied technology for quality measurement in real-world settings. Such an applied technology would have to be cheaper, faster, more flexible, better reported, and more multidimensional than the majority of current research on quality assurance. In developing a new applied technology for the measurement of health care quality, quantitative disciplines have much to offer, such as decision support systems, criteria based on rigorous decision analyses, utility theory, tools for functional status measurement, and advances in operations research.
Berwick
D M
DM
Department of Quality-of-Care Measurement, Harvard Community Health Plan, Brookline, MA 02146.
D003661:Decision Support Techniques; D010043:Outcome and Process Assessment, Health Care; D011785:Quality Assurance, Health Care; D012015:Reference Standards; D013673:Technology Assessment, Biomedical / Q000379:methods*