Measuring clinical performance using routinely collected clinical data

Medical Informatics and the Internet in Medicine

Volumn 30, Issue 2, 2005, Pages 151-156

  Prytherch, D R ^a   Briggs, J S ^a   Weaver, P C ^a   Schmidt, P ^a   Smith, G B ^b  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b QUEEN ALEXANDRA HOSPITAL   (United Kingdom)

Author keywords

Clinical data; Clinical outcome modelling; Clinical performance; Hospital performance

Indexed keywords

BLOOD EXAMINATION; CONFERENCE PAPER; DEMOGRAPHY; HUMAN; INFORMATION PROCESSING; JOB PERFORMANCE; MEDICAL STAFF; PATIENT CARE; TECHNOLOGY;

CARDIOLOGY SERVICE, HOSPITAL; ENGLAND; HOSPITAL MORTALITY; HOSPITALS, PEDIATRIC; HOSPITALS, PUBLIC; HUMANS; QUALITY ASSURANCE, HEALTH CARE; RISK ADJUSTMENT;

EID: 80051709640     PISSN: 14639238     EISSN: 14645246     Source Type: Journal    
DOI: 10.1080/14639230500298966     Document Type: Conference Paper

References (25)

1. Department of Health. NHS performance indicators: National figures: February 2002. 1st Feb 2002. Available from: http://www.dh.gov.uk/assetRoot/04/ 05/96/41/04059641.pdf (accessed 13th October 2005).
2. Available from: www.drfoster.co.uk.
3. Available from: www.timesonline.co.uk.
4. Learning from Bristol: The report of the public inquiry into children's heart surgery at the Bristol Royal Infirmary 1984-1995. Ian Kennedy, Produced for the Bristol Royal Infirmary Inquiry by COI CommunicationsCM Published by The Stationery Office Limited. Available from: http://www.bristol-inquiry.org.uk/
5. Learning from Bristol: The Department of Health's Response to the Report of the Public Inquiry into children's heart surgery at the Bristol Royal Infirmary 1984-1995. London: The Stationery Office; 2002.
6. Lilford R, Mohammed MA, Spiegelhalter D, Thomson R. Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma. Lancet 2004;363:1147-1154.
7. Khuri SF, Daley J, Henderson WG. The comparative assessment and improvement of quality of surgical care in the Department of Veterans Affairs. Arch Surg 2002;137:20-27.
8. McKee M, Coles J, James P. 'Failure to rescue' as a measure of quality of hospital care: the limitations of secondary diagnosis coding in English hospital data. J Public Health Med 1999;21:453-458.
9. Jackson B, Mindell J, McKee M. Hospital mortality league tables: question what they tell you - and how useful they are. British Medical Journal 2003;326:777-778.
10. Ashley S, Ridler B, Kinsman R. Vascular Surgical Society of Great Britain and Ireland National Vascular Database Report 2002. Henley-on-Thames, UK: Dendrite Clinical Systems; 2003.
11. Keogh BE, Kinsman R. The Society of Cardiothoracic Surgeons of Great Britain and Ireland National Adult Cardiac Surgical Database Report 2000-2001. Henley-on-Thames, UK: Dendrite Clinical Systems; 2002.
12. Khuri SF, Daley J, Henderson W, Hur K, Gibbs JO, Barbour G, Demakis J, Irvin G 3rd, Stremple JF, Grover F, McDonald G, Passaro E Jr, Fabri PJ, Spencer J, Hammermeister K, Aust JB. Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veteran Affairs Surgical Risk Study. Journal of American College of Surgeons 1997;185(4):325-338.
13. Whiteley MS, Prytherch DR, Higgins B, Weaver PC, Prout WG. An evaluation of the POSSUM Surgical Scoring System. British Journal of Surgery 1996;83:812-815.
14. Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG, Powell SJ. POSSUM and P-POSSUM for predicting mortality. British Journal of Surgery 1998;85:1217-1220.
15. Prytherch D, Sutton GL, Boyle JR. Portsmouth-POSSUM Models for abdominal aortic aneurysm Surgery. British Journal of Surgery 2001;88:958-963.
16. Tekkis PP, McCulloch P, Poloniecki JD, Prytherch DR, Kessaris N, Steger AC. Risk-adjusted prediction of operative mortality in oesophagogastric surgery with O-POSSUM. British Journal of Surgery 2004;91:288-295.
17. Yii K, Ng KJ. Risk-adjusted surgical audit with the POSSUM scoring system in a developing country. British Journal of Surgery 2002;89:110-113.
18. Lam C-M, Fan ST, Yuen AW, Law WL, Poon K. Validation of POSSUM scoring systems for audit of major hepatectomy. British Journal of Surgery 2004;91:450-454.
19. Mohil RS, Bhatnagar D, Bahadur L, Rajneesh, Dev FK, Magan M. POSSUM and P-POSSUM for risk-adjusted audit of patients undergoing emergency laparotomy. British Journal of Surgery 2004;91:500-503.
20. Bennett-Guerrero E, Hyam JA, Shaefi S, Prytherch DR, Sutton GL, Weaver PC, Mythen MG, Grocott MP, Parides MK. Comparison of P-POSSUM risk-adjusted mortality rates after surgery between patients in the United States of America and the United Kingdom. British Journal of Surgery 2003;90:1593-1598.
21. Hosmer DW, Lemeshow S. Applied logistic regression. New York: Wiley; 1989.
22. Prytherch DR, Sirl JS, Weaver PC, Schmidt P, Higgins B, Sutton GL. Towards a national clinical minimum dataset for general surgery. British Journal of Surgery 2003;90:1300-1305.
23. Jones SM, Collins CD. Caseload or workload? Scoring complexity of operative procedures as a means of analysing workload. British Medical Journal 1990;301(6747):324-325.
24. Prytherch DR, Sirl JS, Schmidt P, Featherstone PI, Weaver PC, Smith GB. The use of routine laboratory data to predict in-hospital death in medical admissions. Resuscitation 2005;66:203-207.
25. Prytherch DR, Ridler BMF, Ashley S, on behalf of the Audit and Research Committee of The Vascular Society of Great Britain and Ireland. Risk adjusted predictive models of mortality after index vascular operations using a minimal data set. British Journal of Surgery 2005;92:714-718. Published on line DOI: 100.1002/bjs.4965.