Literature DB >> 18838465

Specialty-based, voluntary incident reporting in neonatal intensive care: description of 4846 incident reports.

C Snijders1, R A van Lingen, H Klip, W P F Fetter, T W van der Schaaf, H A Molendijk.   

Abstract

OBJECTIVES: To examine the characteristics of incidents reported after introduction of a voluntary, non-punitive incident reporting system for neonatal intensive care units (NICUs) in the Netherlands; and to investigate which types of reported incident pose the highest risk to patients in the NICU.
DESIGN: Prospective multicentre survey.
METHODS: Voluntary, non-punitive incident reporting was introduced in eight level III NICUs and one paediatric surgical ICU. An incident was defined as any unintended event which (could have) reduced the safety margin for the patient. Multidisciplinary, unit-based patient safety committees systematically collected and analysed incident reports, and assigned risk scores to each reported incident. Data were centrally collected for specialty-based analysis. This paper describes the characteristics of incidents reported during the first year. Bivariate logistic regression analysis was conducted to identify high-risk incident categories.
RESULTS: There were 5225 incident reports on 3859 admissions, of which 4846 were eligible for analysis. Incidents with medication were most frequently reported (27%), followed by laboratory (10%) and enteral nutrition (8%). Severe harm was described in seven incident reports, and moderate harm in 63 incident reports. Incidents involving mechanical ventilation and blood products were most likely to be assigned high-risk scores, followed by those involving parenteral nutrition, intravascular lines and medication dosing errors.
CONCLUSIONS: Incidents occur much more frequently in Dutch NICUs than has been previously observed, and their impact on patient morbidity is considerable. Reported incidents concerning mechanical ventilation, blood products, intravascular lines, parenteral nutrition and medication dosing errors pose the highest risk to patients in the NICU.

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Year:  2008        PMID: 18838465     DOI: 10.1136/adc.2007.135020

Source DB:  PubMed          Journal:  Arch Dis Child Fetal Neonatal Ed        ISSN: 1359-2998            Impact factor:   5.747


  8 in total

1.  Incident reports versus direct observation to identify medication errors and risk factors in hospitalised newborns.

Authors:  David Palmero; Ermindo R Di Paolo; Corinne Stadelmann; André Pannatier; Farshid Sadeghipour; Jean-François Tolsa
Journal:  Eur J Pediatr       Date:  2018-11-21       Impact factor: 3.183

2.  Paediatric critical incident analysis: lessons learnt on analysis, recommendations and implementation.

Authors:  Cynthia van der Starre; Monique van Dijk; Ada van den Bos; Dick Tibboel
Journal:  Eur J Pediatr       Date:  2014-05-31       Impact factor: 3.183

3.  Central or local incident reporting? A comparative study in Dutch GP out-of-hours services.

Authors:  Dorien L M Zwart; Elizabeth L J Van Rensen; Cor J Kalkman; Theo J M Verheij
Journal:  Br J Gen Pract       Date:  2011-03       Impact factor: 5.386

4.  A description of medication errors reported by pharmacists in a neonatal intensive care unit.

Authors:  Shane Pawluk; Myriam Jaam; Fatima Hazi; Moza Sulaiman Al Hail; Wessam El Kassem; Hanan Khalifa; Binny Thomas; Pallivalappila Abdul Rouf
Journal:  Int J Clin Pharm       Date:  2016-11-30

5.  A bundle with a preformatted medical order sheet and an introductory course to reduce prescription errors in neonates.

Authors:  David Palmero; Ermindo R Di Paolo; Lydie Beauport; André Pannatier; Jean-François Tolsa
Journal:  Eur J Pediatr       Date:  2015-08-15       Impact factor: 3.183

6.  Real-time registration of adverse events in Dutch hospitalized children in general pediatric units: first experiences.

Authors:  Cynthia van der Starre; Monique van Dijk; Dick Tibboel
Journal:  Eur J Pediatr       Date:  2011-10-22       Impact factor: 3.183

7.  Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.

Authors:  Qi Li; Kristin Melton; Todd Lingren; Eric S Kirkendall; Eric Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti
Journal:  J Am Med Inform Assoc       Date:  2014-01-08       Impact factor: 4.497

8.  Patterns of Safety Incidents in a Neonatal Intensive Care Unit.

Authors:  Luise Brado; Susanne Tippmann; Daniel Schreiner; Jonas Scherer; Dorothea Plaschka; Eva Mildenberger; André Kidszun
Journal:  Front Pediatr       Date:  2021-06-10       Impact factor: 3.418

  8 in total

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