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The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study.
Tolley, Clare L; Watson, Neil W; Heed, Andrew; Einbeck, Jochen; Medows, Suzanne; Wood, Linda; Campbell, Layla; Slight, Sarah P.
Afiliação
  • Tolley CL; School of Pharmacy, Newcastle University, Newcastle Upon Tyne, UK. Clare.brown@newcastle.ac.uk.
  • Watson NW; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK. Clare.brown@newcastle.ac.uk.
  • Heed A; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
  • Einbeck J; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
  • Medows S; Department of Mathematical Sciences, Durham University, Durham, UK.
  • Wood L; Durham Research Methods Centre, Durham University, Durham, UK.
  • Campbell L; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
  • Slight SP; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
BMC Med Inform Decis Mak ; 22(1): 86, 2022 03 29.
Article em En | MEDLINE | ID: mdl-35351096
ABSTRACT

OBJECTIVE:

The medication administration process is complex and consequently prone to errors. Closed Loop Medication Administration solutions aim to improve patient safety. We assessed the impact of a novel medication scanning device (MedEye) on the rate of medication administration errors in a large UK Hospital.

METHODS:

We performed a feasibility before and after study on one ward at a tertiary-care teaching hospital that used a commercial electronic prescribing and medication administration system. We conducted direct observations of nursing drug administration rounds before and after the MedEye implementation. We calculated the rate and type ('timing', 'omission' or 'other' error) of medication administration errors (MAEs) before and after the MedEye implementation.

RESULTS:

We observed a total of 1069 administrations before and 432 after the MedEye intervention was implemented. Data suggested that MedEye could support a reduction in MAEs. After adjusting for heterogeneity, we detected a decreasing effect of MedEye on overall errors (p = 0.0753). Non-timing errors ('omission' and 'other' errors) reduced from 51 (4.77%) to 11 (2.55%), a reduction of 46.5%, which had borderline significance at the 5% level, although this was lost after adjusting for confounders.

CONCLUSIONS:

This pilot study detected a decreasing effect of MedEye on overall errors and a reduction in non-timing error rates that was clinically important as such errors are more likely to be associated with harm. Further research is needed to investigate the impact on a larger sample of medications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hospitais / Erros de Medicação Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hospitais / Erros de Medicação Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido