The Determinants of Care Quality in a Health Maintenance Organization:
AbstractIn this paper we assess the determinants of care quality in a health maintenance organization. Our research relies on a novel source of information on care quality, the “errors” detected by an artificial intelligence program that scans a patient’s medical records for deviations from best practice. We examine the determinants of these “errors” for a population of 50,000 commercial insurance patients over the course of a year. We intend to use this data (together with other information about physicians, their incentive contracts and their patient populations) to answer three questions. First, do physicians with "expensive" practice styles generate more or fewer errors than other physicians? Second, do the cost-cutting incentives written into physician contracts have any effect on the propensity to generate errors. The third question concerns the role of more conventional quality metrics employed in the industry. At the time of the study, the HMO collected some of the commonly used quality metrics (largely HEDIS measures of preventative care) and used these to offer financial rewards to physicians for sustaining high levels of care quality. We ask whether there is a relationship between the dimensions of care quality rewarded by the HMO and the more comprehensive quality measures generated by the computer program.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society 2004 North American Winter Meetings with number 451.
Date of creation: 11 Aug 2004
Date of revision:
Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC
personnel economics; organizational economics;
Find related papers by JEL classification:
- J0 - Labor and Demographic Economics - - General
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.