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Biomedical subjects

J Leaning

Publications and source records attributed to J Leaning.

8 recordsLinked to original sources

The short-term effect of patient health status assessment in a health maintenance organization.

This study was designed to test the short-term effects of health assessment on the process of care and patient satisfaction. The 29 Chart physicians used the Dartmouth COOP Charts to measure their adult patients' health status during a single clinical encounter; the 27 control clinicians used no measure of health status. We compared the change between baseline and post-intervention information for a sample of all study clinicians' patients. Most of the patients were female (67%), well educated (70% had at least a college education) and young (approximately 90% were aged 59 years or younger). We found that the ordering of tests and procedures for women was increased by exposure to the COOP Charts (52% vs. 35%; p < 0.01); the effect in men was not as significant (37% vs. 23%: p = 0.06). Although women reported no change in satisfaction with care, men claimed that the clinician helped in the management of pain (p = 0.02). We conclude that the use of health status measures during a single clinical encounter in an HMO changes clinician test ordering behaviour and may improve the help male patients receive for pain conditions. The long-term impact of these management changes is not known.

Episode of Care

Choosing quality of care measures based on the expected impact of improved care on health.

Consumers, payers, and policymakers are demanding to know more about the quality of the services they are purchasing or might purchase. The information provided, however, is often driven by data availability rather than by epidemiologic and clinical considerations. In this article, we present an approach for selecting topics for measuring technical quality of care, based on the expected impact on health of improved quality. This approach employs data or estimates on disease burden, efficacy of available treatments, and the current quality of care being provided. We use this model to select measures that could be used to measure the quality of care in health plans, but the proposed framework could also be used to select quality of care measures for other purposes or in other contexts (for example, to select measures for hospitals). Given the limited resources available for quality assessment and the policy consequences of better information on provider quality, priorities for assessment efforts should focus on those areas where better quality translates into improved health.

Breast Neoplasms