A replicable method for blood glucose control in critically Ill patients

Context:To ensure interpretability and replicability of clinical experiments, methods must be adequately explicit and should elicit the same decision from different clinicians who comply with the study protocol. Objective:The objective of this study was to determine whether clinician compliance with protocol recommendations exceeds 90%. Design:We developed an adequately explicit computerized protocol (eProtocol-insulin) for managing critically ill adult patient blood glucose. We monitored clinician compliance with eProtocol-insulin recommendations in four intensive care units in four hospitals and compared blood glucose distributions with those of a simple clinical guideline at one hospital and a paper-based protocol at another. All protocols and the guideline used intravenous insulin and 80 to 110 mg/dL (4.4–6.1 mmol/L) blood glucose targets. Setting:The setting for this study was four academic hospital intensive care units. Patients:This study included critically ill adults requiring intravenous insulin. Intervention:Intervention used in this study was a bedside computerized protocol for managing blood glucose. Main Outcome Measure:The main outcome measure was clinician compliance with eProtocol-insulin recommendations. Results:The number of patients was 31 to 458 and the number of blood glucose measurements was 2,226 to 19,925 among the four intensive care units. Clinician compliance with eProtocol-insulin recommendations was 91% to 98%. Blood glucose distributions were similar in the four hospitals (generalized linear model p = .18). Compared with the simple guideline, eProtocol-insulin glucose measurements within target increased from 21% to 39%, and mean blood glucose decreased from 142 to 115 mg/dL (generalized linear model p < .001). Compared with the paper-based protocol, eProtocol-insulin glucose measurements within target increased from 28% to 42%, and mean blood glucose decreased from 134 to 116 mg/dL (generalized linear model p = .001). Conclusions:The 91% to 98% clinician compliance indicates eProtocol-insulin is an exportable instrument that can establish a replicable experimental method for clinical trials of blood glucose management in critically ill adults. Control of blood glucose was better with eProtocol-insulin than with a simple clinical guideline or a paper-based protocol.

[1]  R. Reed Clinical Epidemiology: A Basic Science for Clinical Medicine. Second edition , 1992, The Journal of the American Board of Family Medicine.

[2]  C. Grady,et al.  What makes clinical research ethical? , 2000, JAMA.

[3]  Alan Morris Developing and Implementing Computerized Protocols for Standardization of Clinical Decisions , 2000, Annals of Internal Medicine.

[4]  D M Eddy,et al.  Variations in physician practice: the role of uncertainty. , 1984, Health affairs.

[5]  R H Brook,et al.  Variations in the use of medical and surgical services by the Medicare population. , 1986, The New England journal of medicine.

[6]  J. Eisenberg,et al.  Changing physicians' practices. , 1993, Tobacco control.

[7]  Miet Schetz,et al.  Outcome benefit of intensive insulin therapy in the critically ill: Insulin dose versus glycemic control* , 2003, Critical care medicine.

[8]  Gordon H. Guyatt,et al.  Users' guides to the medical literature. II. How to use an article about therapy or prevention. A. Are the results of the study valid? Evidence-Based Medicine Working Group. , 1993, JAMA.

[9]  S. Piantadosi Clinical Trials : A Methodologic Perspective , 2005 .

[10]  Atul Malhotra,et al.  Intensive insulin in intensive care. , 2006, The New England journal of medicine.

[11]  Redman Bk Clinical practice guidelines as tools of public policy: conflicts of purpose, issues of autonomy, and justice. , 1994 .

[12]  M. Enkin,et al.  Do practice guidelines guide practice? The effect of a consensus statement on the practice of physicians. , 1989, The New England journal of medicine.

[13]  J. Wennberg,et al.  Unwarranted variations in healthcare delivery: implications for academic medical centres , 2002, BMJ : British Medical Journal.

[14]  D. Becker,et al.  Hypoglycemia: a complication of diabetes therapy in children. , 2005, Pediatric clinics of North America.

[15]  D. Dreyfuss,et al.  Ventilator-induced lung injury: lessons from experimental studies. , 1998, American journal of respiratory and critical care medicine.

[16]  Gordon H. Guyatt,et al.  How to Use an Article About Therapy or Prevention , 1995 .

[17]  W. Knaus,et al.  Influence of Patient Preferences and Local Health System Characteristics on the Place of Death , 1998, Journal of the American Geriatrics Society.

[18]  E. Nelson,et al.  Building Measurement and Data Collection into Medical Practice , 1998, Annals of Internal Medicine.

[19]  James Stephen Krinsley,et al.  Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. , 2004, Mayo Clinic proceedings.

[20]  B. Lo Improving care near the end of life. Why is it so hard? , 1995, JAMA.

[21]  G H Guyatt,et al.  USERS' GUIDES TO THE MEDICAL LITERATURE. II: HOW TO USE AN ARTICLE ABOUT THERAPY OR PREVENTION A. ARE THE RESULTS OF THE STUDY VALID ? , 1993 .

[22]  John D. Barrow,et al.  The Book of Nothing , 2000 .

[23]  M. Palmer Clinical Trials: A Practical Approach , 1985 .

[24]  K. Covinsky,et al.  Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.

[25]  B. Bistrian,et al.  Intensive insulin therapy in critically ill patients. , 2002, The New England journal of medicine.

[26]  T. Clemmer,et al.  A computer-assisted management program for antibiotics and other antiinfective agents. , 1998, The New England journal of medicine.

[27]  B. Redman Clinical Practice Guidelines as Tools of Public Policy: Conflicts of Purpose, Issues of Autonomy, and Justice , 1994, The Journal of Clinical Ethics.

[28]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[29]  Edward Abraham,et al.  Intensive insulin therapy in critical illness. , 2005, American journal of respiratory and critical care medicine.

[30]  D. Sackett,et al.  The Ends of Human Life: Medical Ethics in a Liberal Polity , 1992, Annals of Internal Medicine.

[31]  M Schetz,et al.  Intensive insulin therapy in critically ill patients. , 2001, The New England journal of medicine.

[32]  M. A. O'connor,et al.  Do Advance Directives Provide Instructions That Direct Care? , 1997, Journal of the American Geriatrics Society.

[33]  J. Weinreb,et al.  Intensive Insulin Therapy in Critical Care , 2007, Diabetes Care.

[34]  D M Rind,et al.  Effects of a knowledge-based electronic patient record in adherence to practice guidelines. , 1996, M.D. computing : computers in medical practice.

[35]  A. Gittelsohn,et al.  Small Area Variations in Health Care Delivery , 1973, Science.

[36]  Alan Shiell,et al.  Complex interventions: how “out of control” can a randomised controlled trial be? , 2004, BMJ : British Medical Journal.

[37]  G. Van den Berghe,et al.  Intensive insulin therapy in the medical ICU. , 2006, The New England journal of medicine.

[38]  K. Sands,et al.  Vancomycin control measures at a tertiary-care hospital: impact of interventions on volume and patterns of use. , 1998, Infection control and hospital epidemiology.