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Journal Abstract Search

147 related items for PubMed ID: 16507152

  • 1. Process monitoring in intensive care with the use of cumulative expected minus observed mortality and risk-adjusted P charts.
    Cockings JG, Cook DA, Iqbal RK.
    Crit Care; 2006 Feb; 10(1):R28. PubMed ID: 16507152
    [Abstract] [Full Text] [Related]

  • 2. Performance of risk-adjusted control charts to monitor in-hospital mortality of intensive care unit patients: a simulation study.
    Koetsier A, de Keizer NF, de Jonge E, Cook DA, Peek N.
    Crit Care Med; 2012 Jun; 40(6):1799-807. PubMed ID: 22610184
    [Abstract] [Full Text] [Related]

  • 3. Monitoring the evolutionary process of quality: risk-adjusted charting to track outcomes in intensive care.
    Cook DA, Steiner SH, Cook RJ, Farewell VT, Morton AP.
    Crit Care Med; 2003 Jun; 31(6):1676-82. PubMed ID: 12794403
    [Abstract] [Full Text] [Related]

  • 4. Case mix, outcome and activity for patients admitted to intensive care units requiring chronic renal dialysis: a secondary analysis of the ICNARC Case Mix Programme Database.
    Hutchison CA, Crowe AV, Stevens PE, Harrison DA, Lipkin GW.
    Crit Care; 2007 Jun; 11(2):R50. PubMed ID: 17451605
    [Abstract] [Full Text] [Related]

  • 5. Cumulative risk adjusted monitoring of 30-day mortality after cardiothoracic transplantation: UK experience.
    Rogers CA, Ganesh JS, Banner NR, Bonser RS, Steering Group.
    Eur J Cardiothorac Surg; 2005 Jun; 27(6):1022-9. PubMed ID: 15896612
    [Abstract] [Full Text] [Related]

  • 6. Validation of the Intensive Care National Audit and Research Centre Scoring System in a UK Adult Cardiac Surgery Population.
    Ariyaratnam P, Loubani M, Biddulph J, Moore J, Richards N, Chaudhry M, Hong V, Haworth M, Ananthasayanam A.
    J Cardiothorac Vasc Anesth; 2015 Jun; 29(3):565-9. PubMed ID: 25575409
    [Abstract] [Full Text] [Related]

  • 7. [Mortality surveillance in an intensive care unit].
    Haagensen R, Smith-Erichsen N.
    Tidsskr Nor Laegeforen; 2008 Nov 20; 128(22):2567-9. PubMed ID: 19023352
    [Abstract] [Full Text] [Related]

  • 8. Community-acquired pneumonia on the intensive care unit: secondary analysis of 17,869 cases in the ICNARC Case Mix Programme Database.
    Woodhead M, Welch CA, Harrison DA, Bellingan G, Ayres JG.
    Crit Care; 2006 Nov 20; 10 Suppl 2(Suppl 2):S1. PubMed ID: 16934135
    [Abstract] [Full Text] [Related]

  • 9. Risk-adjusted continuous outcome monitoring with an EWMA chart: could it have detected excess mortality among intensive care patients at Bundaberg Base Hospital?
    Pilcher DV, Hoffman T, Thomas C, Ernest D, Hart GK.
    Crit Care Resusc; 2010 Mar 20; 12(1):36-41. PubMed ID: 20196712
    [Abstract] [Full Text] [Related]

  • 10. Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ?
    Kramer AA, Higgins TL, Zimmerman JE.
    Crit Care Med; 2015 Feb 20; 43(2):261-9. PubMed ID: 25365725
    [Abstract] [Full Text] [Related]

  • 11. External validation of the Intensive Care National Audit & Research Centre (ICNARC) risk prediction model in critical care units in Scotland.
    Harrison DA, Lone NI, Haddow C, MacGillivray M, Khan A, Cook B, Rowan KM.
    BMC Anesthesiol; 2014 Feb 20; 14():116. PubMed ID: 25544831
    [Abstract] [Full Text] [Related]

  • 12. Review of the application of risk-adjusted charts to analyse mortality outcomes in critical care.
    Cook DA, Duke G, Hart GK, Pilcher D, Mullany D.
    Crit Care Resusc; 2008 Sep 20; 10(3):239-51. PubMed ID: 18798724
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  • 14. Mortality and length-of-stay outcomes, 1993-2003, in the binational Australian and New Zealand intensive care adult patient database.
    Moran JL, Bristow P, Solomon PJ, George C, Hart GK, Australian and New Zealand Intensive Care Society Database Management Committee (ADMC).
    Crit Care Med; 2008 Jan 20; 36(1):46-61. PubMed ID: 18090383
    [Abstract] [Full Text] [Related]

  • 15. A comparison of the performance of a model based on administrative data and a model based on clinical data: effect of severity of illness on standardized mortality ratios of intensive care units.
    Brinkman S, Abu-Hanna A, van der Veen A, de Jonge E, de Keizer NF.
    Crit Care Med; 2012 Feb 20; 40(2):373-8. PubMed ID: 21983367
    [Abstract] [Full Text] [Related]

  • 16. Using control charts to monitor quality of hospital care with administrative data.
    Coory M, Duckett S, Sketcher-Baker K.
    Int J Qual Health Care; 2008 Feb 20; 20(1):31-9. PubMed ID: 18065757
    [Abstract] [Full Text] [Related]

  • 17. Monitoring excess unplanned return to theatre following colorectal cancer surgery.
    Rasmussen M, Platell C, Jones M.
    ANZ J Surg; 2018 Nov 20; 88(11):1168-1173. PubMed ID: 30306716
    [Abstract] [Full Text] [Related]

  • 18. Characteristics and outcomes of haematology patients admitted to the intensive care unit.
    McCaughey C, Blackwood B, Glackin M, Brady M, McMullin MF.
    Nurs Crit Care; 2013 Jul 20; 18(4):193-9. PubMed ID: 23782113
    [Abstract] [Full Text] [Related]

  • 19. The use of statistical process control (risk-adjusted CUSUM, risk-adjusted RSPRT and CRAM with prediction limits) for monitoring the outcomes of out-of-hospital cardiac arrest patients rescued by the EMS system.
    Chen TT, Chung KP, Hu FC, Fan CM, Yang MC.
    J Eval Clin Pract; 2011 Feb 20; 17(1):71-7. PubMed ID: 20807294
    [Abstract] [Full Text] [Related]

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