Literature DB >> 20351915

A human factors investigation of medication alerts: barriers to prescriber decision-making and clinical workflow.

Alissa L Russ1, Alan J Zillich, M Sue McManus, Bradley N Doebbeling, Jason J Saleem.   

Abstract

Computerized medication alerts (e.g., drug-drug interaction alerts), which are intended to protect patient safety, should also be designed to support prescriber workflow. However, relatively few studies have examined the use of medication alerts during patient care processes. To assess barriers associated with the use of medication alerts, we directly observed medication prescribing during routine patient care. Prescribers (physicians, pharmacists, and nurse practitioners) were recruited from five outpatient primary care clinics at a major Midwestern Veterans Affairs Medical Center (VAMC). A total of 199 alerts were observed across 91 patients and 20 prescribers during normal patient care tasks. Through inductive qualitative analysis, we identified 15 barriers associated with medication alerts; herein, we describe five of the key barriers in detail. Results may be used to create alert redesigns, which have the potential to more fully support clinical workflow, prescriber decision-making, and patient safety.

Entities:  

Mesh:

Year:  2009        PMID: 20351915      PMCID: PMC2815493     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  10 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

2.  Improving patient safety by identifying side effects from introducing bar coding in medication administration.

Authors:  Emily S Patterson; Richard I Cook; Marta L Render
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

3.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

4.  Exposure to automated drug alerts over time: effects on clinicians' knowledge and perceptions.

Authors:  Peter A Glassman; Pamela Belperio; Barbara Simon; Andrew Lanto; Martin Lee
Journal:  Med Care       Date:  2006-03       Impact factor: 2.983

5.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

6.  Practitioners' views on computerized drug-drug interaction alerts in the VA system.

Authors:  Yu Ko; Jacob Abarca; Daniel C Malone; Donna C Dare; Doug Geraets; Antoun Houranieh; William N Jones; W Paul Nichol; Gregory P Schepers; Michelle Wilhardt
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

7.  Reasons provided by prescribers when overriding drug-drug interaction alerts.

Authors:  Amy J Grizzle; Maysaa H Mahmood; Yu Ko; John E Murphy; Edward P Armstrong; Grant H Skrepnek; William N Jones; Gregory P Schepers; W Paul Nichol; Antoun Houranieh; Donna C Dare; Christopher T Hoey; Daniel C Malone
Journal:  Am J Manag Care       Date:  2007-10       Impact factor: 2.229

8.  Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs' Computerized Patient Record System.

Authors:  Ching-Ping Lin; Thomas H Payne; W Paul Nichol; Patricia J Hoey; Curtis L Anderson; John H Gennari
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

9.  Physicians' decisions to override computerized drug alerts in primary care.

Authors:  Saul N Weingart; Maria Toth; Daniel Z Sands; Mark D Aronson; Roger B Davis; Russell S Phillips
Journal:  Arch Intern Med       Date:  2003-11-24

10.  Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system.

Authors:  Tyken C Hsieh; Gilad J Kuperman; Tonushree Jaggi; Patricia Hojnowski-Diaz; Julie Fiskio; Deborah H Williams; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2004-08-06       Impact factor: 4.497

  10 in total
  24 in total

1.  A Pharmacy Blueprint for Electronic Medical Record Implementation Success.

Authors:  David S Bach; Kenneth R Risko; Frank K Zaran; Margo S Farber; Gregory J Polk
Journal:  Hosp Pharm       Date:  2015-06

2.  Blame the Patient, Blame the Doctor or Blame the System? A Meta-Synthesis of Qualitative Studies of Patient Safety in Primary Care.

Authors:  Gavin Daker-White; Rebecca Hays; Jennifer McSharry; Sally Giles; Sudeh Cheraghi-Sohi; Penny Rhodes; Caroline Sanders
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

3.  The influence of computerized decision support on prescribing during ward-rounds: are the decision-makers targeted?

Authors:  Melissa T Baysari; Johanna I Westbrook; Katrina L Richardson; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2011-06-14       Impact factor: 4.497

4.  Usability testing of Avoiding Diabetes Thru Action Plan Targeting (ADAPT) decision support for integrating care-based counseling of pre-diabetes in an electronic health record.

Authors:  Dillon Chrimes; Nicole R Kitos; Andre Kushniruk; Devin M Mann
Journal:  Int J Med Inform       Date:  2014-05-23       Impact factor: 4.046

Review 5.  Usability Flaws in Medication Alerting Systems: Impact on Usage and Work System.

Authors:  R Marcilly; E Ammenwerth; E Roehrer; S Pelayo; F Vasseur; M-C Beuscart-Zéphir
Journal:  Yearb Med Inform       Date:  2015-06-30

6.  Evaluation of medication alerts in electronic health records for compliance with human factors principles.

Authors:  Shobha Phansalkar; Marianne Zachariah; Hanna M Seidling; Chantal Mendes; Lynn Volk; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2014-04-29       Impact factor: 4.497

Review 7.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

8.  Reducing PSA-Based Prostate Cancer Screening in Men Aged 75 Years and Older with the Use of Highly Specific Computerized Clinical Decision Support.

Authors:  Jeremy B Shelton; Lee Ochotorena; Carol Bennett; Paul Shekelle; Lorna Kwan; Ted Skolarus; Caroline Goldzweig
Journal:  J Gen Intern Med       Date:  2015-03-05       Impact factor: 5.128

9.  Reducing Interruptive Alert Burden Using Quality Improvement Methodology.

Authors:  Juan D Chaparro; Cory Hussain; Jennifer A Lee; Jessica Hehmeyer; Manjusri Nguyen; Jeffrey Hoffman
Journal:  Appl Clin Inform       Date:  2020-01-15       Impact factor: 2.342

10.  'Too much, too late': mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing.

Authors:  James Hayward; Fionagh Thomson; Heather Milne; Susan Buckingham; Aziz Sheikh; Bernard Fernando; Kathrin Cresswell; Robin Williams; Hilary Pinnock
Journal:  J Am Med Inform Assoc       Date:  2013-03-07       Impact factor: 4.497

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