Developing a Reliable, Valid, and Feasible Plan for Quality-of-Care Measurement for Cancer
How Should We Measure
Bibliographic Data
| ID | 9103397 |
|---|---|
| Authors | Katherine L Kahn (RAND Corporation, corresponding author), Jennifer L Malin (RAND Corporation, corresponding author), John Adams (0000-0002-2727-615X, RAND Corporation, corresponding author), Patricia A Ganz (0000-0002-1841-4143, University of California, Los Angeles) |
| Year | 2002 |
| Volume | 40 |
| Issue | Supplement |
| Pages | III-73-III-85 |
| Publication date | 2002-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-200206001-00011 |
| OpenAlex | W1485236314 |
| Language | EN |
| References cited | 79 |
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
Cancer · Quality (philosophy) · Reliability engineering · Risk analysis (engineering) · Computer Science · Economic and Financial Impacts of Cancer · Engineering · Health Systems, Economic Evaluations, Quality of Life · Medicine
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| Citation velocity | historical |
|---|---|
| Highly cited | No |