Barriers and facilitators to the use of computer-based intensive insulin therapy

International Journal of Medical Informatics

Volumn 80, Issue 12, 2011, Pages 863-871

  Campion, Thomas R ^a,b   Waitman, Lemuel R ^c   Lorenzi, Nancy M ^a   May, Addison K ^a   Gadd, Cynthia S ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

^c UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

Author keywords

Blood glucose; Clinical decision support systems; Critical care; Electronic medical records; Ethnography; Hyperglycemia; Hypoglycemia; Insulin

Indexed keywords

BLOOD GLUCOSE; CLINICAL DECISION SUPPORT SYSTEMS; CRITICAL CARE; ELECTRONIC MEDICAL RECORD; ETHNOGRAPHY; HYPERGLYCEMIA; HYPOGLYCEMIA;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL EQUIPMENT; GLUCOSE; INSULIN; INTENSIVE CARE UNITS; MEDICAL COMPUTING; MEDICAL INFORMATION SYSTEMS; NURSING; USER INTERFACES;

DECISION SUPPORT SYSTEMS;

INSULIN;

ARTICLE; COMPUTER ASSISTED THERAPY; DECISION SUPPORT SYSTEM; DRUG SAFETY; ELECTRONIC MEDICAL RECORD; ETHNOGRAPHY; HUMAN; HYPERGLYCEMIA; INSULIN TREATMENT; INTENSIVE CARE; INTENSIVE CARE UNIT; MEDICAL DOCUMENTATION; MEDICAL INFORMATION SYSTEM; MORTALITY; NURSE; PATIENT CARE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; WORKFLOW; COMPUTER ASSISTED DRUG THERAPY; COMPUTER NETWORK; EMERGENCY HEALTH SERVICE; QUALITATIVE RESEARCH; RETROSPECTIVE STUDY; UTILIZATION REVIEW;

COMPUTER COMMUNICATION NETWORKS; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; HUMANS; INSULIN; INTENSIVE CARE UNITS; NURSES; QUALITATIVE RESEARCH; RETROSPECTIVE STUDIES; TRAUMA CENTERS; WORKFLOW;

EID: 84859939694     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2011.10.003     Document Type: Article

References (45)

1. Finfer S., Chittock D.R., Su S.Y., et al. Intensive versus conventional glucose control in critically ill patients. N. Engl. J. Med. 2009, 360(March (13)):1283-1297.
2. Wiener R.S., Wiener D.C., Larson R.J. Benefits and risks of tight glucose control in critically ill adults: a meta-analysis. JAMA 2008, 300(August (8)):933-944.
3. Griesdale D.E., de Souza R.J., van Dam R.M., et al. Intensive insulin therapy mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data. CMAJ 2009, 180(April (8)):821-827.
4. Preiser J.C., Devos P., Ruiz-Santana S., et al. A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the glucontrol study. Intensive Care Med. 2009, 35(October (10)):1738-1748.
5. Fahy B.G., Sheehy A.M., Coursin D.B. Glucose control in the intensive care unit. Crit. Care Med. 2009, 37(May (5)):1769-1776.
6. van den Berghe G., Wouters P., Weekers F., et al. Intensive insulin therapy in the critically ill patients. N. Engl. J. Med. 2001, 345(November (19)):1359-1367.
7. Eslami S., Abu-Hanna A., de Jonge E., de Keizer N.F. Tight glycemic control and computerized decision-support systems: a systematic review. Intensive Care Med. 2009, 35(September (9)):1505-1517.
8. Campion T.R., Waitman L.R., May A.K., Ozdas A., Lorenzi N.M., Gadd C.S. Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case study. Int. J. Med. Inform. 2010, 79(January (1)):31-43.
9. Aragon D. Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control. Am. J. Crit. Care 2006, 15(July (4)):370-377.
10. Malesker M.A., Foral P.A., McPhillips A.C., Christensen K.J., Chang J.A., Hilleman D.E. An efficiency evaluation of protocols for tight glycemic control in intensive care units. Am. J. Crit. Care 2007, 16(November (6)):589-598.
11. Sward K., Orme J., Sorenson D., Baumann L., Morris A.H. Reasons for declining computerized insulin protocol recommendations: application of a framework. J. Biomed. Inform. 2008, 41(June (3)):488-497.
12. Vogelzang M., Zijlstra F., Nijsten M.W. Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit. BMC Med. Inform. Decis. Making 2005, 5:38.
13. Dossett L.A., Collier B., Donahue R., et al. Intensive insulin therapy in practice: can we do it?. JPEN J. Parenter. Enteral. Nutr. 2008, 33(January-February (1)):14-20.
14. Vogelzang M., Loef B.G., Regtien J.G., et al. Computer-assisted glucose control in critically ill patients. Intensive Care Med. 2008, 34(August (8)):1421-1427.
15. Dossett L.A., Cao H., Mowery N.T., Dortch M.J., Morris J.M., May A.K. Blood glucose variability is associated with mortality in the surgical ICU. Am. Surg. 2008, 74(August (8)):679-685. (discussion 85).
16. Campion T.R., May A.K., Waitman L.R., Ozdas A., Gadd C.S. Effects of blood glucose transcription mismatches on a computer-based intensive insulin therapy protocol. Intensive Care Med. 2010, 36(September (9)):1566-1570.
17. Campion T.R., May A.K., Waitman L.R., Ozdas A., Lorenzi N.M., Gadd C.S. Characteristics and effects of nurse dosing over-rides on computer-based intensive insulin therapy protocol performance. J. Am. Med. Inform. Assoc. 2011, 18(May (3)):251-258.
18. Morris A.H., Orme J., Truwit J.D., et al. A replicable method for blood glucose control in critically Ill patients. Crit. Care Med. 2008, 36(June (6)):1787-1795.
19. Rood E., Bosman R.J., van der Spoel J.I., Taylor P., Zandstra D.F. Use of a computerized guideline for glucose regulation in the intensive care unit improved both guideline adherence and glucose regulation. J. Am. Med. Inform. Assoc. 2005, 12(March-April (2)):172-180.
20. Anger K.E., Szumita P.M. Barriers to glucose control in the intensive care unit. Pharmacotherapy 2006, 26(February (2)):214-228.
21. Orlikowski W.J., Barley S.R. Technology and Institutions: What Can Research on Information Technology and Research on Organizations Learn from Each Other?: Management Information Systems Research Center 2001, University of Minnesota, pp. 145-165.
22. Kaplan B. Evaluating informatics applications - clinical decision support systems literature review. Int. J. Med. Inform. 2001, 64(November (1)):15-37.
23. Friedman C.P., Wyatt J.C. Evaluation Methods in Biomedical Informatics 2005, Springer-Verlag, New York.
24. Zaydfudim V., Dossett L.A., Starmer J.M., et al. Implementation of a real-time compliance dashboard to help reduce SICU ventilator-associated pneumonia with the ventilator bundle. Arch. Surg. 2009, 144(July (7)):656-662.
25. Boord J.B., Sharifi M., Greevy R.A., et al. Computer-based insulin infusion protocol improves glycemia control over manual protocol. J. Am. Med. Inform. Assoc. 2007, 14(May-June (3)):278-287.
26. Dortch M.J., Mowery N.T., Ozdas A., et al. A computerized insulin infusion titration protocol improves glucose control with less hypoglycemia compared to a manual titration protocol in a trauma intensive care unit. JPEN J. Parenter. Enteral. Nutr. 2008, 32(January-February (1)):18-27.
27. Bode B.W., Braithwaite S.S., Steed R.D., Davidson P.C. Intravenous insulin infusion therapy: indications, methods, and transition to subcutaneous insulin therapy. Endocr. Pract. 2004, 10(March-April (Suppl. 2)):71-80.
28. White N.H., Skor D., Santiago J.V. Practical closed-loop insulin delivery. A system for the maintenance of overnight euglycemia and the calculation of basal insulin requirements in insulin-dependent diabetics. Ann. Intern. Med. 1982, 97(August (2)):210-213.
29. Corbin J.M., Strauss A.L. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory 2008, SAGE Publications, Los Angeles.
30. Lincoln Y.S., Guba E.G. Naturalistic Inquiry 1985, Sage Publications, Beverly Hills, CA.
31. Schnipper J.L., Linder J.A., Palchuk M.B., et al. Smart forms in an Electronic Medical Record: documentation-based clinical decision support to improve disease management. J. Am. Med. Inform. Assoc. 2008, 15(July-August (4)):513-523.
32. Pachler C., Plank J., Weinhandl H., et al. Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients. Intensive Care Med. 2008, 34(July (7)):1224-1230.
33. Juneja R., Roudebush C., Kumar N., et al. Utilization of a computerized intravenous insulin infusion program to control blood glucose in the intensive care unit. Diabetes Technol. Ther. 2007, 9(June (3)):232-240.
34. Saleem J.J., Patterson E.S., Militello L., Render M.L., Orshansky G., Asch S.M. Exploring barriers and facilitators to the use of computerized clinical reminders. J. Am. Med. Inform. Assoc. 2005, 12(July-August (4)):438-447.
35. Kuperman G.J., Bobb A., Payne T.H., et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J. Am. Med. Inform. Assoc. 2007, 14(January-February (1)):29-40.
36. Miller R.S., Norris P.R., Jenkins J.M., et al. Systems initiatives reduce healthcare-associated infections: a study of 22,928 device days in a single trauma unit. J. Trauma 2010, 68(January (1)):23-31.
37. Patterson E.S., Nguyen A.D., Halloran J.P., Asch S.M. Human factors barriers to the effective use of ten HIV clinical reminders. J. Am. Med. Inform. Assoc. 2004, 11(January-February (1)):50-59.
38. Militello L., Patterson E.S., Tripp-Reimer T., et al. Clinical reminders: why don't they use them. Human Factors and Ergonomics Society Annual Meeting Proceedings, vol. 48 2004, 1651-1655.
39. Kaplan B. Evaluating informatics applications - some alternative approaches: theory, social interactionism, and call for methodological pluralism. Int. J. Med. Inform. 2001, 64(November (1)):39-56.
40. Chiasson M., Reddy M., Kaplan B., Davidson E. Expanding multi-disciplinary approaches to healthcare information technologies: what does information systems offer medical informatics?. Int. J. Med. Inform. 2007, 76(June (Suppl. 1)):S89-S97.
41. Patterson E.S., Cook R.I., Render M.L. Improving patient safety by identifying side effects from introducing bar coding in medication administration. J. Am. Med. Inform. Assoc. 2002, 9(September-October (5)):540-553.
42. Reddy M.C., Pratt W., Dourish P., Shabot M. Asking questions: information needs in a surgical intensive care unit. Proc AMIA Symp 2002, 647-651.
43. Richardson J.E., Shah-Hosseini S., Fiadjoe J.E., Ash J.S., Rehman M.A. The effects of a hands-free communication device system in a surgical suite. J. Am. Med. Inform. Assoc. 2011, 18(January (1)):70-72.
44. Unertl K.M., Weinger M.B., Johnson K.B., Lorenzi N.M. Describing and modeling workflow and information flow in chronic disease care. J. Am. Med. Inform. Assoc. 2009, 16(November-December (6)):826-836.
45. Wickstrom G., Bendix T. The " Hawthorne effect" - what did the original Hawthorne studies actually show?. Scand. J. Work Environ. Health 2000, 26(August (4)):363-367.