Evaluating clinical decision support tools for medication administration safety in a simulated environment

OBJECTIVES The specific aims of this study were to develop a methodology and tools for the design of clinical decision support systems to decrease the incidence of medication administration errors. METHODS A mixed-methods design was utilized in this study. First, observations of medication administration practice were used to inform the design of a simulated information system with a variety of decision support tools. Then, nurses were observed administering medications in a simulated environment using the simulated system. Finally, the nurses participated in focus groups to provide input into system tools design. Observations of nurses' use of the decision support tools as well as semi-structured focus groups were used to evaluate nurses' use and perceptions of the utility of the system decision support tools. RESULTS Nurses' evaluation of the medication administration decision support tools as well as their actual performance revealed a tendency to underestimate their need for support. Their preferences were for decision support that was short, color coded, and easily accessed. Observations of medication administration showed that nurses exhibit a variety of work processes to prepare and administer medications to patients and access system decision support tools at a variety of points in this process. System design should allow flexibility of multiple points and types of information delivery to accommodate variations in workflow to minimize the tendency for system workarounds. CONCLUSIONS This study was performed in one hospital and results may not generalize beyond this setting. However, this method used to design and test decision support could be transferred to other settings. Using simulation in this study provided a method for testing new information system design, related to a potentially dangerous procedure, in a manner that eliminated the hazards of potential unintended consequences for patients.

[1]  Nancy M. Lorenzi,et al.  Barriers and Facilitators to the Use of Computer-based Intensive Insulin Therapy Nih Public Access Author Manuscript , 2022 .

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

[3]  Adam Wright,et al.  White paper: A Roadmap for National Action on Clinical Decision Support , 2007, J. Am. Medical Informatics Assoc..

[4]  Thomas A. Oniki,et al.  Research Paper: The Effect of Computer-generated Reminders on Charting Deficiencies in the ICU , 2003, J. Am. Medical Informatics Assoc..

[5]  Carole A Estabrooks,et al.  Sources of information used by nurses to inform practice: An integrative review. , 2008, International journal of nursing studies.

[6]  David W. Bates,et al.  A controlled trial of smart infusion pumps to improve medication safety in critically ill patients* , 2005 .

[7]  Jonathon R. B. Halbesleben,et al.  Research Paper: Technology Implementation and Workarounds in the Nursing Home , 2008, J. Am. Medical Informatics Assoc..

[8]  Eta S. Berner,et al.  A Mobile Data Collection Tool for Workflow Analysis , 2007, MedInfo.

[9]  Jared Cash,et al.  Standard Drug Concentrations and Smart-Pump Technology Reduce Continuous-Medication-Infusion Errors in Pediatric Patients , 2005, Pediatrics.

[10]  Frank Lyerla,et al.  Use of a clinical decision support system to improve hypoglycemia management. , 2013, Medsurg nursing : official journal of the Academy of Medical-Surgical Nurses.

[11]  Karen Gabel Speroni,et al.  What Causes Near-misses and How Are They Mitigated? , 2014, Plastic surgical nursing : official journal of the American Society of Plastic and Reconstructive Surgical Nurses.

[12]  D. Bates,et al.  Preventable adverse drug events in hospitalized patients: a comparative study of intensive care and general care units. , 1997, Critical care medicine.

[13]  Marc Berg,et al.  Viewpoint Paper: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors , 2003, J. Am. Medical Informatics Assoc..

[14]  Enrico W. Coiera,et al.  Communication behaviours in a hospital setting: an observational study , 1998, BMJ.

[15]  InSook Cho,et al.  Nurses' Responses to Differing Amounts and Information Content in a Diagnostic Computer-Based Decision Support Application , 2010, Computers, informatics, nursing : CIN.

[16]  David W Bates,et al.  Medication errors observed in 36 health care facilities. , 2002, Archives of internal medicine.

[17]  E. Berner,et al.  Overconfidence as a cause of diagnostic error in medicine. , 2008, The American journal of medicine.

[18]  Anna Ehrenberg,et al.  Effects of a computerized decision support system on care planning for pressure ulcers and malnutrition in nursing homes: An intervention study , 2013, Int. J. Medical Informatics.

[19]  Nick Barber,et al.  Ethnographic study of incidence and severity of intravenous drug errors , 2003, BMJ : British Medical Journal.

[20]  J. Westbrook,et al.  Are interventions to reduce interruptions and errors during medication administration effective?: a systematic review , 2013, BMJ quality & safety.

[21]  Julie M. Fiskio,et al.  Research Paper: Characteristics and Consequences of Drug Allergy Alert Overrides in a Computerized Physician Order Entry System , 2004, J. Am. Medical Informatics Assoc..

[22]  R. Kuiper,et al.  ISSUES AND INNOVATIONS IN NURSING EDUCATION Promoting cognitive and metacognitive reflective reasoning skills in nursing practice: self-regulated learning theory , 2004 .

[23]  A. Wall,et al.  Book ReviewTo Err is Human: building a safer health system Kohn L T Corrigan J M Donaldson M S Washington DC USA: Institute of Medicine/National Academy Press ISBN 0 309 06837 1 $34.95 , 2000 .

[24]  Mathijs Vogelzang,et al.  Implementation and evaluation of a nurse-centered computerized potassium regulation protocol in the intensive care unit - a before and after analysis , 2010, BMC Medical Informatics Decis. Mak..

[25]  Jacqueline Moss,et al.  Technological System Solutions to Clinical Communication Error , 2005, The Journal of nursing administration.

[26]  Ruth Ellen Bulger,et al.  The Institute of Medicine , 1992, JAMA.

[27]  Brian L. Erstad,et al.  Medication errors and adverse drug events in an intensive care unit: Direct observation approach for detection , 2006, Critical care medicine.

[28]  Randolph A. Miller,et al.  Decision Support for Patient Care: Implementing Cybernetics , 2004, MedInfo.

[29]  G. Capellier,et al.  Medication errors at the administration stage in an intensive care unit , 1999, Intensive Care Medicine.

[30]  Enrico W. Coiera,et al.  Viewpoint: When Conversation Is Better Than Computation , 2000, J. Am. Medical Informatics Assoc..

[31]  L. Kohn,et al.  To Err Is Human : Building a Safer Health System , 2007 .

[32]  Eta S. Berner,et al.  Intravenous Medication Administration in Intensive Care: Opportunities for Technological Solutions , 2008, AMIA.

[33]  Julie Sakowski,et al.  Using a bar-coded medication administration system to prevent medication errors in a community hospital network. , 2005, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[34]  Jim Hewitt,et al.  Scan Rate: A New Metric for the Analysis of Reading Behaviors in Asynchronous Computer Conferencing Environments , 2007 .

[35]  Jennifer Hardy,et al.  Communication loads on clinical staff in the emergency department , 2002, The Medical journal of Australia.

[36]  R. Mehta,et al.  Blue or Red? Exploring the Effect of Color on Cognitive Task Performances , 2009, Science.

[37]  Ann Page,et al.  Keeping patients safe. , 2011, Consumer reports.