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Performance management: the clinician’s tale

Published online by Cambridge University Press:  06 February 2015

Peter C. Smith
Peter C. Smith*
Affiliation:
Emeritus Professor of Health Policy, Imperial College Business School, London, UK
*
*Correspondence to: Peter Smith, Emeritus Professor of Health Policy, Imperial College Business School, Exhibition Road, London SW7 2AZ, UK. Email: peter.smith@imperial.ac.uk
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Abstract

The success of performance management in health care depends crucially on the response of health care professionals to the various instruments of performance management (PM). Yet we know little about how those professionals think and work. They may ignore PM for three reasons: ignorance of the relevant performance information; lack of faith in the credibility of the information; or inability to take relevant action. Furthermore, there is a risk that PM comes into fundamental conflict with the idea of professional autonomy and personalization of care. In order to create more effective PM policies, we need to know much more about professional motivations and constraints.

Type
Special Section
Information
Health Economics, Policy and Law , Volume 10 , Issue 3 , July 2015 , pp. 357 - 360
Copyright
© Cambridge University Press 2015 

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References

Chalkley, M. and Malcomson, J. M. (1998), ‘Contracting for health services with unmonitored quality’, The Economic Journal, 108: 1093–1110.Google Scholar
Iezzoni, L. (2010), ‘Risk Adjustment for Performance Measurement’, in P. Smith, M. Mossialos, I. Papanicolas and S. Leatherman (eds), Performance Measurement for Health System Improvement: Experiences, Challenges and Prospects, Cambridge: Cambridge University Press, 251–285.Google Scholar
Institute of Medicine (2001), Crossing the Quality Chasm: A New Health System for the 21st Century, Washington, DC: Institute of Medicine.Google Scholar
Mannion, R. and Goddard, M. (2001), ‘Impact of published clinical outcomes data: case study in NHS hospital trusts’, British Medical Journal, 323: 260–263.CrossRefGoogle ScholarPubMed
McGuire, T. (2011), ‘Physician Agency and Payment for Primary Medical Care’, in S. Glied and P. Smith (eds) The Oxford Handbook of Health Economics, New York, NY: Oxford University Press, 602–623.Google Scholar
Oliver, A. (2015), ‘Incentivising improvements in health care delivery’, Health Economics Policy and Law.Google Scholar
Shaw, G. (1971), ‘The Doctor’s Dilemma’, in Dan H. Lawrence (ed.), The Bodley Head Bernard Shaw Collected Plays with Their Prefaces Volume 3 London: Max Reinhardt, 223–445.Google Scholar
Smith, P. (2002), ‘Performance management in British health care: will it deliver?’, Health Affairs, 21: 103–115.CrossRefGoogle ScholarPubMed
Smith, P. and Street, A. (2013), ‘On the uses of routine patient reported health outcome data’, Health Economics, 22: 119–131.Google Scholar
Wennberg, J. (2010), Tracking Medicine: A Researcher’s Quest to Understand Health Care, Oxford: Oxford University Press.Google Scholar