Medication transcription errors in hospitalized patient settings: a consensual study in the Palestinian nursing practice.
Delphi technique
Medication errors
Medication transcription errors
Nurse
Palestine
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
06 Sep 2019
06 Sep 2019
Historique:
received:
28
03
2019
accepted:
28
08
2019
entrez:
8
9
2019
pubmed:
8
9
2019
medline:
24
12
2019
Statut:
epublish
Résumé
Medication transcription errors (MTEs) are frequent in hospitalized patient settings. Definitions and scenarios that represent potential MTEs in the Palestinian nursing practice were not previously approached using formal consensus techniques. This investigation was conducted to develop a consensual definition of MTEs and scenarios that represent different MTE situations by a panel of nurses and other healthcare professionals. In this observational study, consensus was sought using the Delphi technique. Panelists (n = 64) were invited and recruited from different hospitals in Palestine and a two-iterative rounds Delphi technique was used to achieve consensus on a proposed definition of MTEs and 76 different scenarios representing potential MTEs. Consensus was achieve to accept the definition and to consider 69 of the 76 proposed scenarios (77.6%) as MTEs, exclude 3 scenarios (3.9%), and 4 scenarios (5.3%) remained equivocal. Equivocal scenarios might be considered as MTEs or not depending on the clinical situation. Consensus was achieved on a definition of MTEs and scenarios representing MTEs by a panel of nurses and other healthcare professionals. This study showed that it was possible to develop and achieve consensus on a definition and scenarios representing MTE situations using formal consensus techniques. Such consensual definitions could be useful in future epidemiological studies investigating MTEs. Using consensual definitions might reduce methodological variations, promote congruence in error counting and reporting, and permit comparing error rates in different hospital settings.
Sections du résumé
BACKGROUND
BACKGROUND
Medication transcription errors (MTEs) are frequent in hospitalized patient settings. Definitions and scenarios that represent potential MTEs in the Palestinian nursing practice were not previously approached using formal consensus techniques. This investigation was conducted to develop a consensual definition of MTEs and scenarios that represent different MTE situations by a panel of nurses and other healthcare professionals.
METHODS
METHODS
In this observational study, consensus was sought using the Delphi technique. Panelists (n = 64) were invited and recruited from different hospitals in Palestine and a two-iterative rounds Delphi technique was used to achieve consensus on a proposed definition of MTEs and 76 different scenarios representing potential MTEs.
RESULTS
RESULTS
Consensus was achieve to accept the definition and to consider 69 of the 76 proposed scenarios (77.6%) as MTEs, exclude 3 scenarios (3.9%), and 4 scenarios (5.3%) remained equivocal. Equivocal scenarios might be considered as MTEs or not depending on the clinical situation.
CONCLUSIONS
CONCLUSIONS
Consensus was achieved on a definition of MTEs and scenarios representing MTEs by a panel of nurses and other healthcare professionals. This study showed that it was possible to develop and achieve consensus on a definition and scenarios representing MTE situations using formal consensus techniques. Such consensual definitions could be useful in future epidemiological studies investigating MTEs. Using consensual definitions might reduce methodological variations, promote congruence in error counting and reporting, and permit comparing error rates in different hospital settings.
Identifiants
pubmed: 31492182
doi: 10.1186/s12913-019-4485-3
pii: 10.1186/s12913-019-4485-3
pmc: PMC6729077
doi:
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
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