Literature DB >> 11730588

[Usefulness of a software package to reduce medication errors in neonatal care].

J A Balaguer Santamaría1, J D Fernández Ballart, J Escribano Subias.   

Abstract

BACKGROUND: Many treatment errors in neonatal intensive care units are caused by the need to carry out a sequence of calculations to determine the dose and dilution of the drugs used.
OBJECTIVES: To help in this task, we designed a spreadsheet (Neodosis) that helps clinicians and nurses to calculate the doses and standardize the dilutions of some of the drugs most commonly used in resuscitation and neonatal intensive care units. The aim of this study was to verify the usefulness and reliability of this software package.
METHODS: A randomized, cross-over, controlled trial was conducted through simulated clinical cases in which the number of errors in the prescription data and the amount of time spent in making calculations, with and without the program, were evaluated. Fifty-four tests were performed by pediatricians, third- and fourth-year pediatric residents, and nurses.
RESULTS: Without computer support, all three groups made errors (residents, pediatricians and nurses in descending order). When Neodosis was used, all the medical staff made significantly fewer errors. The greatest reduction was found in errors made by pediatric residents: minor errors decreased from 16 % to 2 % and major errors from 1.6 % to zero. When using the spreadsheet, the time spent by all groups in making the calculations was reduced by between one-third and one-half.
CONCLUSIONS: The tests performed with simulated clinical cases revealed that the number of errors made by the healthcare personnel who participated in this study was not inconsiderable. The use of Neodosis helped physicians and nurses to make markedly fewer errors and also saved them time.

Mesh:

Year:  2001        PMID: 11730588

Source DB:  PubMed          Journal:  An Esp Pediatr        ISSN: 0302-4342


  4 in total

Review 1.  Interventions to reduce medication errors in neonatal care: a systematic review.

Authors:  Minh-Nha Rhylie Nguyen; Cassandra Mosel; Luke E Grzeskowiak
Journal:  Ther Adv Drug Saf       Date:  2017-12-28

Review 2.  Clinical decision support systems for neonatal care.

Authors:  K Tan; P R F Dear; S J Newell
Journal:  Cochrane Database Syst Rev       Date:  2005-04-18

3.  Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals.

Authors:  Kathrin M Cresswell; David W Bates; Robin Williams; Zoe Morrison; Ann Slee; Jamie Coleman; Ann Robertson; Aziz Sheikh
Journal:  J Am Med Inform Assoc       Date:  2014-01-15       Impact factor: 4.497

4.  The impact of electronic prescribing systems on pharmacists' time and workflow: protocol for a time-and-motion study in English NHS hospitals.

Authors:  Behnaz Schofield; Kathrin Cresswel; Johanna Westbrook; Ann Slee; Alan Girling; Sonal Shah; Jamie Coleman; Aziz Sheikh
Journal:  BMJ Open       Date:  2015-10-26       Impact factor: 2.692

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.