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Published on: July 29, 2013
Developing a reliable, valid, and feasible plan for quality-of-care measurement for cancer: how should we measure?
Katherine L Kahn1, Jennifer L Malin, John Adams
1RAND, Santa Monica, California 90406, USA. kkahn@rand.org
Background:
Recent changes in the US health care delivery system have raised expectations that the medical marketplace will compete on quality and cost of care. This effort will require a systematic evaluation of the measurement of quality of care as it applies to cancer and other critical conditions.
Objectives:
To articulate the components of the design of quality-of-care measurement systems that must be considered and optimally manipulated to generate feasible, reliable, and valid data pertinent to patients with cancer.
Research Design:
A synthesis of information obtained from literature reviews and experience.
Measures:
Four key areas of design that influence quality-of-care measurement scores are discussed: case identification, data source, data-collection strategies, and the quality of the care-measurement model.
Results:
Challenges associated with these design and measurement strategies are defined and discussed.
Conclusions:
Policy analyses vary as a function of measurement domains. The design of a quality-of-care measurement system should consider trade-offs between validity and burden by considering the intricate relations between domains of measurement.
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