Kumiko O Schnock1,2, Patricia C Dykes3,4, Jennifer Albert5, Deborah Ariosto6, Caitlin Cameron7, Diane L Carroll5, Moreen Donahue8, Adrienne G Drucker9, Rosemary Duncan10, Linda Fang11, Marla Husch12, Nicole McDonald13, Ray R Maddox14, Julie McGuire15, Sally Rafie16, Emilee Robertson17, Melinda Sawyer10, Elizabeth Wade18, Catherine S Yoon3, Stuart Lipsitz3,4, David W Bates3,4. 1. Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont Street, OBC-3, Boston, MA, 02120-1613, USA. kschnock@bwh.harvard.edu. 2. Harvard Medical School, Boston, MA, USA. kschnock@bwh.harvard.edu. 3. Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont Street, OBC-3, Boston, MA, 02120-1613, USA. 4. Harvard Medical School, Boston, MA, USA. 5. Munn Center for Nursing Research, Massachusetts General Hospital, Boston, MA, USA. 6. Vanderbilt University Medical Center, Nashville, TN, USA. 7. College of Pharmacy, University of Arizona, Phoenix, AZ, USA. 8. Department of Nursing, Western Connecticut Health Network, Danbury, CT, USA. 9. Partners eCare, Partners Healthcare, Boston, MA, USA. 10. The Johns Hopkins Hospital, Baltimore, MD, USA. 11. Winchester Medical Center, Winchester, VA, USA. 12. Health Quest Systems Inc, Grangeville, NY, USA. 13. Department of Pharmacy, Maricopa Medical Center, Phoenix, AZ, USA. 14. College of Pharmacy, University of Georgia, Savannah, GA, USA. 15. Central DuPage Hospital, Winfield, IL, USA. 16. Department of Pharmacy, UC San Diego Health, San Diego, CA, USA. 17. St. Joseph's/Candler Health System, Savannah, GA, USA. 18. Concord Hospital, Concord, NH, USA.
Abstract
INTRODUCTION: We previously found a high rate of errors in the administration of intravenous medications using smart infusion pumps. OBJECTIVES/ DESIGN: An infusion safety intervention bundle was developed in response to the high rate of identified errors. A before-after observational study with a prospective point-prevalence approach was conducted in nine hospitals to measure the preliminary effects of the intervention. MAIN OUTCOME MEASURES: Primary outcome measures were overall errors and medication errors, with the secondary outcome defined as potentially harmful error rates. RESULTS: We assessed a total of 418 patients with 972 medication administrations in the pre-intervention period and 422 patients with 1059 medication administrations in the post-intervention period. The overall error rate fell from 146 to 123 per 100 medication administrations (p < 0.0001), and the medication error rate also decreased from 39 to 29 per 100 medication administrations (p = 0.001). However, there was no significant change in the potentially harmful error rate (from 0.5 to 0.8 per 100 medication administrations, p = 0.37). An intervention component aiming to reduce labeling-not-completed errors was effective in reducing targeted error rates, but other components of the intervention bundle did not show significant improvement in the targeted errors. CONCLUSION: Development and implementation of the intervention bundle was successful at reducing overall and medication error rates, but some errors remained and the potentially harmful error rate did not change. The error-rate reductions were not always correlated with the specific individual interventions. Further investigation is needed to identify the best strategies to reduce the remaining errors. CLINICAL TRIALS REGISTRATION: Registered at ClinicalTrials.gov, identifier: NCT02359734.
INTRODUCTION: We previously found a high rate of errors in the administration of intravenous medications using smart infusion pumps. OBJECTIVES/ DESIGN: An infusion safety intervention bundle was developed in response to the high rate of identified errors. A before-after observational study with a prospective point-prevalence approach was conducted in nine hospitals to measure the preliminary effects of the intervention. MAIN OUTCOME MEASURES: Primary outcome measures were overall errors and medication errors, with the secondary outcome defined as potentially harmful error rates. RESULTS: We assessed a total of 418 patients with 972 medication administrations in the pre-intervention period and 422 patients with 1059 medication administrations in the post-intervention period. The overall error rate fell from 146 to 123 per 100 medication administrations (p < 0.0001), and the medication error rate also decreased from 39 to 29 per 100 medication administrations (p = 0.001). However, there was no significant change in the potentially harmful error rate (from 0.5 to 0.8 per 100 medication administrations, p = 0.37). An intervention component aiming to reduce labeling-not-completed errors was effective in reducing targeted error rates, but other components of the intervention bundle did not show significant improvement in the targeted errors. CONCLUSION: Development and implementation of the intervention bundle was successful at reducing overall and medication error rates, but some errors remained and the potentially harmful error rate did not change. The error-rate reductions were not always correlated with the specific individual interventions. Further investigation is needed to identify the best strategies to reduce the remaining errors. CLINICAL TRIALS REGISTRATION: Registered at ClinicalTrials.gov, identifier: NCT02359734.
Authors: Kumiko O Schnock; Patricia C Dykes; Jennifer Albert; Deborah Ariosto; Rosemary Call; Caitlin Cameron; Diane L Carroll; Adrienne G Drucker; Linda Fang; Christine A Garcia-Palm; Marla M Husch; Ray R Maddox; Nicole McDonald; Julie McGuire; Sally Rafie; Emilee Robertson; Deb Saine; Melinda D Sawyer; Lisa P Smith; Kristy Dixon Stinger; Timothy W Vanderveen; Elizabeth Wade; Catherine S Yoon; Stuart Lipsitz; David W Bates Journal: BMJ Qual Saf Date: 2016-02-23 Impact factor: 7.035
Authors: Ann Christine Catlin; William X Malloy; Karen J Arthur; Cindy Gaston; James Young; Sudheera Fernando; Ruchith Fernando Journal: Am J Health Syst Pharm Date: 2015-02-15 Impact factor: 2.637
Authors: Ann Blandford; Dominic Furniss; Imogen Lyons; Gill Chumbley; Ioanna Iacovides; Li Wei; Anna Cox; Astrid Mayer; Kumiko Schnock; David Westfall Bates; Patricia C Dykes; Helen Bell; Bryony Dean Franklin Journal: BMJ Open Date: 2016-03-03 Impact factor: 2.692
Authors: Alexander F van der Sluijs; Eline R van Slobbe-Bijlsma; Astrid Goossens; Alexander Pj Vlaar; Dave A Dongelmans Journal: SAGE Open Med Date: 2019-01-02
Authors: Ann Blandford; Patricia C Dykes; Bryony Dean Franklin; Dominic Furniss; Galal H Galal-Edeen; Kumiko O Schnock; David W Bates Journal: Drug Saf Date: 2019-10 Impact factor: 5.606
Authors: Clare L Tolley; Neil W Watson; Andrew Heed; Jochen Einbeck; Suzanne Medows; Linda Wood; Layla Campbell; Sarah P Slight Journal: BMC Med Inform Decis Mak Date: 2022-03-29 Impact factor: 2.796
Authors: Karen K Giuliano; Jeannine W C Blake; Nancy Phoenix Bittner; Vicki Gamez; Robert Butterfield Journal: J Patient Saf Date: 2022-08-06 Impact factor: 2.243