Impact of an intervention to control risk associated with patient transfer.

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Version: Final published version
Serval ID
serval:BIB_27D6FA6C534B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Impact of an intervention to control risk associated with patient transfer.
Journal
Swiss Medical Weekly
Author(s)
Wasserfallen J.B., Meylan N., Schaller M.D., Chioléro R., Fishman D.
ISSN
1424-7860
Publication state
Published
Issued date
2008
Peer-reviewed
Oui
Volume
138
Number
13-14
Pages
211-218
Language
english
Abstract
QUESTION UNDER STUDY: Hospitals transferring patients retain responsibility until admission to the new health care facility. We define safe transfer conditions, based on appropriate risk assessment, and evaluate the impact of this strategy as implemented at our institution. METHODS: An algorithm defining transfer categories according to destination, equipment monitoring, and medication was developed and tested prospectively over 6 months. Conformity with algorithm criteria was assessed for every transfer and transfer category. After introduction of a transfer coordination centre with transfer nurses, the algorithm was implemented and the same survey was carried out over 1 year. RESULTS: Over the whole study period, the number of transfers increased by 40%, chiefly by ambulance from the emergency department to other hospitals and private clinics. Transfers to rehabilitation centres and nursing homes were reassigned to conventional vehicles. The percentage of patients requiring equipment during transfer, such as an intravenous line, decreased from 34% to 15%, while oxygen or i.v. drug requirement remained stable. The percentage of transfers considered below theoretical safety decreased from 6% to 4%, while 20% of transfers were considered safer than necessary. A substantial number of planned transfers could be "downgraded" by mutual agreement to a lower degree of supervision, and the system was stable on a short-term basis. CONCLUSION: A coordinated transfer system based on an algorithm determining transfer categories, developed on the basis of simple but valid medical and nursing criteria, reduced unnecessary ambulance transfers and treatment during transfer, and increased adequate supervision.
Keywords
Algorithms, Humans, Nursing Service, Hospital, Patient Transfer/methods, Program Evaluation, Prospective Studies, Risk Assessment, Risk Management, Safety Management
Pubmed
Web of science
Create date
29/01/2009 23:14
Last modification date
20/08/2019 14:07
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