Literature DB >> 32236916

Effect of an Alternative Newborn Naming Strategy on Wrong-Patient Errors: A Quasi-Experimental Study.

Ethan Pfeifer1,2, Margaret Lozovatsky3, Joanna Abraham1,2, Thomas Kannampallil1,2.   

Abstract

OBJECTIVES: Newborns are often assigned temporary names at birth. Temporary newborn names-often a combination of the mother's last name and the newborn's gender-are vulnerable to patient misidentification due to similarities with other newborns or between a mother and her newborn. We developed and implemented an alternative distinct naming strategy, and then compared its effectiveness on reducing the number of wrong-patient orders with the standard distinct naming strategy.
METHODS: This study was conducted over a 14-month period in the newborn nursery and neonatal intensive care units of three hospitals that were part of the same health care system. We used a quasi-experimental study design using interrupted time series analysis to compare the differences in wrong-patient orders (an indicator of patient misidentification) before and after the implementation of the alternative distinct naming strategy.
RESULTS: Overall, there were 25 wrong-patient errors per 10,000 orders during entire study period (36.8 per 10,000 before and 19.6 per 10,000 after). However, there was no statistically significant change in the rate of wrong-patient ordering errors after the transition from the distinct to the alternative distinct naming strategy (β = 0.832, 95% confidence interval [CI] = -0.83 to 2.49, p = 0.326). We also found that, overall, 1.7% of the clinicians contributed to 62% of the wrong-patient errors.
CONCLUSION: Although we did not find statistically significant differences in wrong-patient errors, the alternative distinct naming approach provides pragmatic advantages over its predecessors. In addition, the localization of wrong-patient errors within a small set of clinicians highlights the potential for developing strategies for delivering training to clinicians. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2020        PMID: 32236916      PMCID: PMC7112998          DOI: 10.1055/s-0040-1705175

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  23 in total

1.  Leveraging electronic tablets for general pediatric care: a pilot study.

Authors:  V Anand; S McKee; T M Dugan; S M Downs
Journal:  Appl Clin Inform       Date:  2015-01-07       Impact factor: 2.342

2.  Understanding Health Information Technology Induced Medication Safety Events by Two Conceptual Frameworks.

Authors:  Ju Wang; Hongyuan Liang; Hong Kang; Yang Gong
Journal:  Appl Clin Inform       Date:  2019-03-06       Impact factor: 2.342

3.  Identification of priorities for medication safety in neonatal intensive care.

Authors:  Desireé L Kunac; David M Reith
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  The impact of prescribing safety alerts for elderly persons in an electronic medical record: an interrupted time series evaluation.

Authors:  David H Smith; Nancy Perrin; Adrianne Feldstein; Xiuhai Yang; Daniel Kuang; Steven R Simon; Dean F Sittig; Richard Platt; Stephen B Soumerai
Journal:  Arch Intern Med       Date:  2006-05-22

5.  Use of Temporary Names for Newborns and Associated Risks.

Authors:  Jason Adelman; Judy Aschner; Clyde Schechter; Robert Angert; Jeffrey Weiss; Amisha Rai; Matthew Berger; Stan Reissman; Vibin Parakkattu; Bejoy Chacko; Andrew Racine; William Southern
Journal:  Pediatrics       Date:  2015-07-13       Impact factor: 7.124

Review 6.  Computerized Physician Order Entry in the Neonatal Intensive Care Unit: A Narrative Review.

Authors:  Jaclyn B York; Megan Z Cardoso; Dara S Azuma; Kristyn S Beam; Geoffrey G Binney; Saul N Weingart
Journal:  Appl Clin Inform       Date:  2019-07-03       Impact factor: 2.342

7.  Voluntary anonymous reporting of medical errors for neonatal intensive care.

Authors:  Gautham Suresh; Jeffrey D Horbar; Paul Plsek; James Gray; William H Edwards; Patricia H Shiono; Robert Ursprung; Julianne Nickerson; Jerold F Lucey; Donald Goldmann
Journal:  Pediatrics       Date:  2004-06       Impact factor: 7.124

Review 8.  Classifying health information technology patient safety related incidents - an approach used in Wales.

Authors:  D Warm; P Edwards
Journal:  Appl Clin Inform       Date:  2012-06-27       Impact factor: 2.342

9.  Decreasing Blood Culture Contaminants in a Pediatric Emergency Department: An Interrupted Time Series Analysis.

Authors:  Paul C Mullan; Sara Scott; James M Chamberlain; Jeanne Pettinichi; Katura Palacious; Anastasia Weber; Asha S Payne; Gia M Badolato; Kathleen Brown
Journal:  Pediatr Qual Saf       Date:  2018-09-19

10.  Non-clinical interventions to reduce unnecessary caesarean section targeted at organisations, facilities and systems: Systematic review of qualitative studies.

Authors:  Carol Kingdon; Soo Downe; Ana Pilar Betran
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

View more
  2 in total

1.  Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy.

Authors:  Shaun J Grannis; Jennifer L Williams; Suranga Kasthuri; Molly Murray; Huiping Xu
Journal:  J Am Med Inform Assoc       Date:  2022-07-12       Impact factor: 7.942

2.  Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.

Authors:  Thomas Kannampallil; Joanna Abraham; Sunny S Lou; Philip R O Payne
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.