Appl Clin Inform 2010; 01(03): 213-220
DOI: 10.4338/ACI-2010-02-RA-0011
Research Article
Schattauer GmbH

Medication Safety Improves after Implementation of Positive Patient Identification

T. Higgins
1   Clinical Informatics Baystate Medical Center, Springfield, MA
2   Critical Care Baystate Medical Center, Springfield, MA
,
M. Heelon
3   Pharmacy Baystate Medical Center, Springfield, MA
,
B. Siano
1   Clinical Informatics Baystate Medical Center, Springfield, MA
4   Patient Care Baystate Medical Center, Springfield, MA
,
L. Douglass
1   Clinical Informatics Baystate Medical Center, Springfield, MA
4   Patient Care Baystate Medical Center, Springfield, MA
,
P. Liebro
3   Pharmacy Baystate Medical Center, Springfield, MA
,
B. Spath
5   Information Services Baystate Medical Center, Springfield, MA
,
N. Kudler
1   Clinical Informatics Baystate Medical Center, Springfield, MA
,
G. Kerr
3   Pharmacy Baystate Medical Center, Springfield, MA
› Author Affiliations
Further Information

Correspondence to:

Thomas L. Higgins MD, MBA
Medical Director, Inpatient Informatics
Baystate Medical Center
759 Chestnut Street
Springfield, Massachusetts 01199
United States

Publication History

received: 17 February 2010

accepted: 10 June 2010

Publication Date:
16 December 2017 (online)

 

Summary

Objective: To report the incidence and severity of medication safety events before and after initiation of barcode scanning for positive patient identification (PPID) in a large teaching hospital.

Methods: Retrospective analysis of data from an existing safety reporting system with anonymous and non-punitive self-reporting. Medication safety events were categorized as “near-miss” (unsafe conditions or caught before reaching the patient) or reaching the patient, with requisite additional monitoring or treatment. Baseline and post-PPID implementation data on events per 1,000,000 drug administrations were compared by chi-square with p<0.05 considered significant.

Results: An average of 510,541 doses were dispensed each month in 2008. Total self-reported medication errors initially increased from 20 per million doses dispensed pre-barcoding (first quarter 2008) to 38 per million doses dispensed immediately post-intervention (last quarter 2008), but errors reaching the patient decreased from 3.26 per million to 0.8 per million despite the increase in “near-misses”. A number of process issues were identified and improved, including additional training and equipment, instituting ParX scanning when filling Pyxis machines, and lobbying for a manufacturing change in how bar codes were printed on bags of intravenous solutions to reduce scanning failures.

Conclusion: Introduction of barcoding of medications and patient wristbands reduced serious medication dispensing errors reaching the patient, but temporarily increased the number of “near-miss” situations reported. Overall patient safety improved with the barcoding and positive patient identification initiative. These results have been sustained during the 18 months following full implementation.


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Conflicts of interest

None of the authors report any conflicts of interest.

  • References

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  • 2 Poon EG, Cina JL, Churchill W, Patel N, Feathersotone E, Rothschild JM, Keohane CA, Whittemore AD, Bates DW, Gandhi TK. Medication dispensing errors and potential adverse drug events before and after implementing bar code technology in the pharmacy. Ann Intern Med 2006; 145: 426-434.
  • 3 Poon EG, Keohane CA, Yoon CS, Ditmore M, Barne A, Levtzion-Korach O, Moniz T, Rothschild JM, Kachalia AB, Hayes J, Churchill WW, Lipsitz S, Whitemore AD, Bates DW, Gandi TK. Effect of bar-code technology on the safety of medication administration. N Engl J Med 2010; 362: 1698-1707.
  • 4 Leape LL. et al. Systems analysis of adverse drug events. ADE Prevention Study Group. JAMA 1995; 274: 29-34.
  • 5 University Health Consortium: UHC Patient Safety Net website.. https://www.uhc.edu/11851.htm . Accessed 1/27/10.
  • 6 Bates DW. et al. Incidence of adverse drug events and potential adverse drug events; implications for prevention. ADE Prevention Study Group. JAMA 1995; 274: 35-43.
  • 7 Cina JL, Gandhi TK, Churchill W, Fanikos J, McCrea M. et al. How many hospital pharmacy medication dispensing errors go undetected?. J Qual Patient Safety 2006; 32: 73-80.
  • 8 Bohand X, Simon L, Perrier E, Mullot H, Lefeuvre L, Plotton C. Frequency, types, and potential clinical significance of medication-dispensing errors. Clinics [serial on the Internet]. 2009; 64 (01) 11-16. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322009000100003&lng=en . doi: 10.1590/S1807-59322009000100003.
  • 9 Paoletti RD, Suess TM, Lesko MG, Feroli AA, Kennel JA, Mahler JM, Sauders T. Using bar-code technology and medication observation methodology for safer medication administration. Am J Health-Syst Pharm 2007; 64: 536-543.
  • 10 DeYoung J, VanderKooi ME, Barletta JF. Effect of bar-code-assisted medication administration on medication error rates in an adult medical intensive care unit. Am J Heatlh Syst Pharm 2009; 66: 1110-1115.
  • 11 Helmons PJ, Wargel LN, Daniels CE. Effect of bar-code-assisted medication administration on medication administration errors and accuracy in multiple patient care areas. Am J Health Syst Pharm 2009; 66: 1202-1210.
  • 12 ASHP Section of Pharmacy Informatics and Technology.. ASHP statement on bar-code-enabled medication administration technology. Am J Health Syst Pharm 2009; 66: 588-590.
  • 13 Koppel R, Metlay JP, Cohen A. et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005; 293: 1197-1203.
  • 14 McCarney R, Warner J, Iliffe S, van Haselen R, Griffin M, Fisher P. The Hawthorne effect: a randomized, controlled trial. BMC Medical Research Methodology 2007; 7: 30 Available from http://www.biomedcentral.com/1471-2288/7/30 accessed 5/11/10.
  • 15 Patterson ES, Cook RI, Render ML. Improving patient safety by identifying side effects from introducing bar coding in medication administration. J Am Med Inform Assoc 2002; 9: 540-553.

Correspondence to:

Thomas L. Higgins MD, MBA
Medical Director, Inpatient Informatics
Baystate Medical Center
759 Chestnut Street
Springfield, Massachusetts 01199
United States

  • References

  • 1 Amarasingham R, Plantinga L, Diener-West M, Gaskin DJ, Powe NR. Clinical information technologies and patient outcomes: A multiple hospital study. Arch Intern Med 2009; 169: 108-114.
  • 2 Poon EG, Cina JL, Churchill W, Patel N, Feathersotone E, Rothschild JM, Keohane CA, Whittemore AD, Bates DW, Gandhi TK. Medication dispensing errors and potential adverse drug events before and after implementing bar code technology in the pharmacy. Ann Intern Med 2006; 145: 426-434.
  • 3 Poon EG, Keohane CA, Yoon CS, Ditmore M, Barne A, Levtzion-Korach O, Moniz T, Rothschild JM, Kachalia AB, Hayes J, Churchill WW, Lipsitz S, Whitemore AD, Bates DW, Gandi TK. Effect of bar-code technology on the safety of medication administration. N Engl J Med 2010; 362: 1698-1707.
  • 4 Leape LL. et al. Systems analysis of adverse drug events. ADE Prevention Study Group. JAMA 1995; 274: 29-34.
  • 5 University Health Consortium: UHC Patient Safety Net website.. https://www.uhc.edu/11851.htm . Accessed 1/27/10.
  • 6 Bates DW. et al. Incidence of adverse drug events and potential adverse drug events; implications for prevention. ADE Prevention Study Group. JAMA 1995; 274: 35-43.
  • 7 Cina JL, Gandhi TK, Churchill W, Fanikos J, McCrea M. et al. How many hospital pharmacy medication dispensing errors go undetected?. J Qual Patient Safety 2006; 32: 73-80.
  • 8 Bohand X, Simon L, Perrier E, Mullot H, Lefeuvre L, Plotton C. Frequency, types, and potential clinical significance of medication-dispensing errors. Clinics [serial on the Internet]. 2009; 64 (01) 11-16. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322009000100003&lng=en . doi: 10.1590/S1807-59322009000100003.
  • 9 Paoletti RD, Suess TM, Lesko MG, Feroli AA, Kennel JA, Mahler JM, Sauders T. Using bar-code technology and medication observation methodology for safer medication administration. Am J Health-Syst Pharm 2007; 64: 536-543.
  • 10 DeYoung J, VanderKooi ME, Barletta JF. Effect of bar-code-assisted medication administration on medication error rates in an adult medical intensive care unit. Am J Heatlh Syst Pharm 2009; 66: 1110-1115.
  • 11 Helmons PJ, Wargel LN, Daniels CE. Effect of bar-code-assisted medication administration on medication administration errors and accuracy in multiple patient care areas. Am J Health Syst Pharm 2009; 66: 1202-1210.
  • 12 ASHP Section of Pharmacy Informatics and Technology.. ASHP statement on bar-code-enabled medication administration technology. Am J Health Syst Pharm 2009; 66: 588-590.
  • 13 Koppel R, Metlay JP, Cohen A. et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005; 293: 1197-1203.
  • 14 McCarney R, Warner J, Iliffe S, van Haselen R, Griffin M, Fisher P. The Hawthorne effect: a randomized, controlled trial. BMC Medical Research Methodology 2007; 7: 30 Available from http://www.biomedcentral.com/1471-2288/7/30 accessed 5/11/10.
  • 15 Patterson ES, Cook RI, Render ML. Improving patient safety by identifying side effects from introducing bar coding in medication administration. J Am Med Inform Assoc 2002; 9: 540-553.