The development of a postoperative morbidity score to assess total morbidity burden after cardiac surgery.

[1]  L. van Gulik,et al.  Improved analgesia after the realisation of a pain management programme in ICU patients after cardiac surgery , 2010, European journal of anaesthesiology.

[2]  A. Haverich,et al.  Economic aspects of deep sternal wound infections. , 2010, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[3]  I. Toor,et al.  Age >or=75 years is associated with greater resource utilization following coronary artery bypass grafting. , 2009, Interactive cardiovascular and thoracic surgery.

[4]  L. Bossaert,et al.  Prediction of Prolonged Length of Stay in the Intensive Care Unit After Cardiac Surgery: The Need for a Multi‐institutional Risk Scoring System , 2009, Journal of cardiac surgery.

[5]  I. Toor,et al.  Institutional report - Cardiopulmonary bypass Age G75 years is associated with greater resource utilization following coronary artery bypass grafting , 2009 .

[6]  D. Streiner,et al.  Health measurement scales , 2008 .

[7]  R. Atoui,et al.  Risk Factors for Prolonged Stay in the Intensive Care Unit and on the Ward After Cardiac Surgery , 2008, Journal of cardiac surgery.

[8]  T. Gudbjartsson,et al.  Deep sternal wound infections following open heart surgery in Iceland. A population-based study , 2008, Scandinavian cardiovascular journal : SCJ.

[9]  Ruth Thorlby,et al.  High Quality Care For All , 2008 .

[10]  Charles S Cleeland,et al.  Patient-reported outcomes: instrument development and selection issues. , 2007, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[11]  M. Emberton,et al.  The Postoperative Morbidity Survey was validated and used to describe morbidity after major surgery. , 2007, Journal of clinical epidemiology.

[12]  A. Abdelhafiz,et al.  Delayed discharges due to initiation of warfarin in atrial fibrillation: a prospective audit. , 2007, The American journal of geriatric pharmacotherapy.

[13]  A. Grayson,et al.  Preoperative calculation of risk for prolonged intensive care unit stay following coronary artery bypass grafting , 2006, Journal of cardiothoracic surgery.

[14]  Michael E. Thompson,et al.  Determinants of Morbidity and Intensive Care Unit Stay after Coronary Surgery , 2006, Asian cardiovascular & thoracic annals.

[15]  J. Smith,et al.  Predictors and Outcomes of Extended Intensive Care Unit Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery , 2006, Journal of cardiac surgery.

[16]  Jack V Tu,et al.  The identification and development of Canadian coronary artery bypass graft surgery quality indicators. , 2005, The Journal of thoracic and cardiovascular surgery.

[17]  L. Rajmil.  Health measurement scales. A practical guide to their development and use, 3rd ed , 2005 .

[18]  Luc Noyez,et al.  Preoperative prediction of prolonged stay in the intensive care unit for coronary bypass surgery. , 2004, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[19]  N. Doll,et al.  Predictors of prolonged ICU stay after on-pump versus off-pump coronary artery bypass grafting , 2004, Intensive Care Medicine.

[20]  C. Terwee,et al.  Current challenges in clinimetrics. , 2003, Journal of clinical epidemiology.

[21]  J. Tijssen,et al.  Outcome prediction in coronary artery bypass grafting and valve surgery in the Netherlands: development of the Amphiascore and its comparison with the Euroscore. , 2003, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[22]  E. Hannan,et al.  Predictors of readmission for complications of coronary artery bypass graft surgery. , 2003, JAMA.

[23]  Alfred Cuschieri,et al.  Instrument for objective assessment of appropriateness of surgical bed occupancy: validation study , 2003, BMJ : British Medical Journal.

[24]  F. Toraman,et al.  Fast track recovery of high risk coronary bypass surgery patients. , 2003, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[25]  David J. Hand,et al.  Causal variables, indicator variables and measurement scales: an example from quality of life , 2002 .

[26]  D W Bates,et al.  Development and validation of a clinical prediction rule for major adverse outcomes in coronary bypass grafting. , 2001, The American journal of cardiology.

[27]  A. Thompson,et al.  The five item Barthel index , 2001, Journal of neurology, neurosurgery, and psychiatry.

[28]  O. Moerer,et al.  Twenty-four hour presence of physicians in the ICU , 2001, Critical care.

[29]  M. Lam,et al.  The Cardiac Anesthesia Risk Evaluation Score: A Clinically Useful Predictor of Mortality and Morbidity after Cardiac Surgery , 2001, Anesthesiology.

[30]  J Mollison,et al.  The measurement and monitoring of surgical adverse events. , 2001, Health technology assessment.

[31]  J. Birkmeyer,et al.  Potential reduction in mortality rates using an intensivist model to manage intensive care units. , 2000, Effective clinical practice : ECP.

[32]  E. Vamvakas,et al.  RBC transfusion and postoperative length of stay in the hospital or the intensive care unit among patients undergoing coronary artery bypass graft surgery: the effects of confounding factors , 2000, Transfusion.

[33]  M. Südkamp,et al.  Risk stratification in heart surgery: comparison of six score systems. , 2000, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[34]  C. McHorney,et al.  The SWAL-QOL Outcomes Tool for Oropharyngeal Dysphagiain Adults: II. Item Reduction and Preliminary Scaling , 2000, Dysphagia.

[35]  M. Newman,et al.  The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. , 1999, Anesthesia and analgesia.

[36]  M. Cucherat,et al.  Severe morbidity after coronary artery surgery: development and validation of a simple predictive clinical score. , 1999, European heart journal.

[37]  S. Lemeshow,et al.  European system for cardiac operative risk evaluation (EuroSCORE). , 1999, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[38]  C. Bombardier,et al.  How should importance and severity ratings be combined for item reduction in the development of health status instruments? , 1999, Journal of clinical epidemiology.

[39]  S. Nashef,et al.  Eurp-pean system for cardiac operative risk evaluation (Euro SCORE) , 1999 .

[40]  P. Rosenbaum,et al.  A spurious correlation between hospital mortality and complication rates: the importance of severity adjustment. , 1997, Medical care.

[41]  G. Beck,et al.  ICU admission score for predicting morbidity and mortality risk after coronary artery bypass grafting. , 1997, The Annals of thoracic surgery.

[42]  J. Borrás,et al.  Assessing open heart surgery mortality in Catalonia (Spain) through a predictive risk model. , 1997, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[43]  J. Magovern,et al.  A model that predicts morbidity and mortality after coronary artery bypass graft surgery. , 1996, Journal of the American College of Cardiology.

[44]  T. Kurki,et al.  Preoperative prediction of postoperative morbidity in coronary artery bypass grafting. , 1996, The Annals of thoracic surgery.

[45]  C D Naylor,et al.  Impact of preoperative risk and perioperative morbidity on ICU stay following coronary bypass surgery. , 1996, Cardiovascular surgery.

[46]  T. R. Knapp,et al.  Ten measurement commandments that often should be broken. , 1995, Research in nursing & health.

[47]  S. Haynes,et al.  Content validity in psychological assessment: A functional approach to concepts and methods. , 1995 .

[48]  Sankey V. Williams,et al.  Evaluation of the complication rate as a measure of quality of care in coronary artery bypass graft surgery. , 1995, JAMA.

[49]  J. Tu,et al.  Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. Steering Committee of the Provincial Adult Cardiac Care Network of Ontario. , 1995, Circulation.

[50]  R. Nagle,et al.  Validation of an item-reduction short form of the Stanford-Binet Intelligence Scale: Fourth Edition with college students. , 1995, Journal of clinical psychology.

[51]  R. Peterson.  A Meta-analysis of Cronbach's Coefficient Alpha , 1994 .

[52]  A. Rosen,et al.  Predicting the Occurrence of Adverse Events after Coronary Artery Bypass Surgery , 1993, Annals of Internal Medicine.

[53]  J. M. Cortina,et al.  What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .

[54]  G H Guyatt,et al.  Measuring health status: what are the necessary measurement properties? , 1992, Journal of clinical epidemiology.

[55]  S. Ferketich,et al.  Internal consistency estimates of reliability , 1990 .

[56]  D. Streiner,et al.  Health Measurement Scales: A practical guide to thier development and use , 1989 .

[57]  G A Diamond,et al.  Future imperfect: the limitations of clinical prediction models and the limits of clinical prediction. , 1989, Journal of the American College of Cardiology.

[58]  A. Bernstein,et al.  A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. , 1989, Circulation.

[59]  B Kirshner,et al.  A methodological framework for assessing health indices. , 1985, Journal of chronic diseases.

[60]  A R Feinstein,et al.  An additional basic science for clinical medicine: IV. The development of clinimetrics. , 1983, Annals of internal medicine.

[61]  Juri Pill,et al.  The Delphi method: Substance, context, a critique and an annotated bibliography , 1971 .

[62]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .