Performance league tables: the NHS deserves better

League tables are frequently used to depict comparative performance in sport and commerce. However, extension of their use to rank services provided by healthcare agencies has attracted resistance, criticism, and anxiety. In this article we discuss the benefits and drawbacks of league tables and suggest that an alternative technique, based on statistical process control, could be introduced in their place. We believe that this technique would have the dual advantage of being less threatening to providers of health services and would be more easily understood and correctly interpreted by patients, auditors, and commissioners of services. ### Summary points League tables are an established technique for displaying the comparative ranking of organisations in terms of their performance League tables provoke anxiety and concern among health service providers for several reasons, including concerns over adjustment for case mix and the role of chance in determining their rank Control charts, used for monitoring and control of variation in the manufacturing industry, overcome these problems by displaying performance without ranking and helping to differentiate between random variation and that due to special causes League tables are useful for comparing quality or outputs from different systems, whereas control charts are more useful for comparison of units within a single system, such as the NHS Control charts avoid stigmatising “poor performers” and promote the use of a systems approach to quality improvement For many years league tables have been used to rank the quality of goods or services provided by competing organisations. They are commonly published in the popular press and magazines, specialist journals, and the internet. These tables range from those that simply rank crude performance on indicators to those that report sophisticated comparisons of summary adjusted statistics (such as those with uncertainty intervals around the rank). The public is prepared to pay intermediaries, such as financial advisers, …

[1]  Z. Kmietowicz GPs threaten to leave NHS as stress levels rocket , 2001, BMJ : British Medical Journal.

[2]  B. Christie Manufacturing process helps Scottish hospital halve MRSA rates , 2001, BMJ : British Medical Journal.

[3]  Tom Marshall,et al.  Bristol, Shipman, and clinical governance: Shewhart's forgotten lessons , 2001, The Lancet.

[4]  Jonathan A C Sterne,et al.  Sifting the evidence—what's wrong with significance tests? , 2001, BMJ : British Medical Journal.

[5]  P. Tymms,et al.  Schools' experience of league tables should make doctors think again , 2000, BMJ : British Medical Journal.

[6]  R H Brook,et al.  The public release of performance data: what do we expect to gain? A review of the evidence. , 2000, JAMA.

[7]  P. Anderson Popularising hospital performance data , 1999, BMJ.

[8]  H. Davies,et al.  Trust in performance indicators? , 1998, Quality in health care : QHC.

[9]  Alastair H Leyland,et al.  League tables and acute myocardial infarction , 1998, The Lancet.

[10]  L J Finison,et al.  Applying control charts to quality improvement. , 1996, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

[11]  A M Epstein,et al.  Influence of cardiac-surgery performance reports on referral practices and access to care. A survey of cardiovascular specialists. , 1996, The New England journal of medicine.

[12]  E L Hannan,et al.  Benefits and hazards of reporting medical outcomes publicly. , 1996, The New England journal of medicine.

[13]  E J Topol,et al.  Outmigration for coronary bypass surgery in an era of public dissemination of clinical outcomes. , 1996, Circulation.

[14]  H. Goldstein,et al.  Freedom of information: towards a code of ethics for performance indicators , 1996 .

[15]  N. Wintfeld,et al.  Report cards on cardiac surgeons. Assessing New York State's approach. , 1995, The New England journal of medicine.

[16]  Peter C Smith,et al.  On the unintended consequences of publishing performance data in the public sector , 1995 .

[17]  E L Hannan,et al.  Improving the outcomes of coronary artery bypass surgery in New York State. , 1994, JAMA.

[18]  J P Kassirer,et al.  The use and abuse of practice profiles. , 1994, The New England journal of medicine.

[19]  R. Brook Health Care Reform Is on the Way: Do We Want To Compete on Quality? , 1994, Annals of Internal Medicine.

[20]  Peter C. Smith,et al.  The Use of Performance Indicators in the Public Sector , 1990 .

[21]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[22]  F. Mosteller,et al.  The uses of usefulness of binomial probability paper. , 1949, Journal of the American Statistical Association.