136 related articles for article (PubMed ID: 15823639)
1. Real-time monitoring of coronary care mortality: a comparison and combination of two monitoring tools.
Sherlaw-Johnson C; Morton A; Robinson MB; Hall A
Int J Cardiol; 2005 Apr; 100(2):301-7. PubMed ID: 15823639
[TBL] [Abstract][Full Text] [Related]
2. Cumulative risk adjusted monitoring of 30-day mortality after cardiothoracic transplantation: UK experience.
Rogers CA; Ganesh JS; Banner NR; Bonser RS;
Eur J Cardiothorac Surg; 2005 Jun; 27(6):1022-9. PubMed ID: 15896612
[TBL] [Abstract][Full Text] [Related]
3. Exponentially weighted moving average charts to compare observed and expected values for monitoring risk-adjusted hospital indicators.
Cook DA; Coory M; Webster RA
BMJ Qual Saf; 2011 Jun; 20(6):469-74. PubMed ID: 21209145
[TBL] [Abstract][Full Text] [Related]
4. A method for detecting runs of good and bad clinical outcomes on Variable Life-Adjusted Display (VLAD) charts.
Sherlaw-Johnson C
Health Care Manag Sci; 2005 Feb; 8(1):61-5. PubMed ID: 15782513
[TBL] [Abstract][Full Text] [Related]
5. Monitoring the performance of intensive care units using the variable life-adjusted display: a simulation study to explore its applicability and efficiency.
Foltran F; Baldi I; Bertolini G; Merletti F; Gregori D
J Eval Clin Pract; 2009 Jun; 15(3):506-13. PubMed ID: 19522905
[TBL] [Abstract][Full Text] [Related]
6. 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; 17(1):71-7. PubMed ID: 20807294
[TBL] [Abstract][Full Text] [Related]
7. Debate: what is the best method to monitor surgical performance?
Steiner SH; Woodall WH
BMC Surg; 2016 Apr; 16():15. PubMed ID: 27044248
[TBL] [Abstract][Full Text] [Related]
8. 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
[TBL] [Abstract][Full Text] [Related]
9. [Mortality surveillance in an intensive care unit].
Haagensen R; Smith-Erichsen N
Tidsskr Nor Laegeforen; 2008 Nov; 128(22):2567-9. PubMed ID: 19023352
[TBL] [Abstract][Full Text] [Related]
10. Monitoring binary outcomes using risk-adjusted charts: a comparative study.
Gombay E; Hussein AA; Steiner SH
Stat Med; 2011 Oct; 30(23):2815-26. PubMed ID: 21786279
[TBL] [Abstract][Full Text] [Related]
11. Application of Variable Life Adjusted Displays (VLAD) on Victorian Admitted Episodes Dataset (VAED).
Andrianopoulos N; Jolley D; Evans SM; Brand CA; Cameron PA
BMC Health Serv Res; 2012 Aug; 12():278. PubMed ID: 22925089
[TBL] [Abstract][Full Text] [Related]
12. A simple signaling rule for variable life-adjusted display derived from an equivalent risk-adjusted CUSUM chart.
Wittenberg P; Gan FF; Knoth S
Stat Med; 2018 Jul; 37(16):2455-2473. PubMed ID: 29667215
[TBL] [Abstract][Full Text] [Related]
13. 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
[TBL] [Abstract][Full Text] [Related]
14. A new VLAD-based control chart for detecting surgical outcomes.
Yue J; Lai X; Liu L; Lai PBS
Stat Med; 2017 Dec; 36(28):4540-4547. PubMed ID: 28589642
[TBL] [Abstract][Full Text] [Related]
15. Development and implementation of prospective outcome monitoring in a regional burns service using cumulative sum (CUSUM) techniques.
Roberts G; Thorburn G; Collins D; Smailes S; Dziewulski P
Burns; 2013 Jun; 39(4):571-6. PubMed ID: 23273811
[TBL] [Abstract][Full Text] [Related]
16. Use of graphical statistical process control tools to monitor and improve outcomes in cardiac surgery.
Smith IR; Garlick B; Gardner MA; Brighouse RD; Foster KA; Rivers JT
Heart Lung Circ; 2013 Feb; 22(2):92-9. PubMed ID: 23063751
[TBL] [Abstract][Full Text] [Related]
17. 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(1):31-9. PubMed ID: 18065757
[TBL] [Abstract][Full Text] [Related]
18. Use of risk-adjusted CUSUM charts to monitor 30-day mortality in Danish hospitals.
Rasmussen TB; Ulrichsen SP; Nørgaard M
Clin Epidemiol; 2018; 10():445-456. PubMed ID: 29713201
[TBL] [Abstract][Full Text] [Related]
19. Use of hierarchical models to evaluate performance of cardiac surgery centres in the Italian CABG outcome study.
D'Errigo P; Tosti ME; Fusco D; Perucci CA; Seccareccia F;
BMC Med Res Methodol; 2007 Jul; 7():29. PubMed ID: 17608921
[TBL] [Abstract][Full Text] [Related]
20. Direct comparison of risk-adjusted and non-risk-adjusted CUSUM analyses of coronary artery bypass surgery outcomes.
Novick RJ; Fox SA; Stitt LW; Forbes TL; Steiner S
J Thorac Cardiovasc Surg; 2006 Aug; 132(2):386-91. PubMed ID: 16872967
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
