
doi: 10.1093/jac/dkn152
pmid: 18408239
Administering parenteral antibiotics outside the confines of a ward setting is becoming an attractive way of treating infections in the UK. However, as well as having many advantages, an outpatient parenteral antibiotic therapy (OPAT) service potentially introduces new risks to staff and patients involved. In the United States, healthcare organizations are now prospectively analysing processes to try and prevent errors occurring using the Healthcare Failure Mode Effect Analysis (HFMEA) tool. The objectives of this study were to map out and agree the OPAT process and sub-processes and to identify potential OPAT system failures using steps 1-3 of the HFMEA tool, so that the resulting OPAT map can be used to design an OPAT service where risk is minimized.The study was undertaken using a consensus development panel to which the HFMEA process was applied. Key stakeholders in the local OPAT process were invited to join the HFMEA team with the aim of describing and agreeing (defined as 100% participant agreement) an OPAT map, its sub-processes and potential OPAT system failures.The HFMEA team identified 6 processes, 67 sub-processes and 217 possible failures over the course of four meetings. Key areas identified in the OPAT map concerned identifying and checking patient suitability for an OPAT service, involvement of a multidisciplinary team and robust communication channels.An OPAT map was developed, which may serve as a practical model for other organizations setting up a similar service.
Infusions, Risk Management, Great Britain, 610, Risk Assessment, United Kingdom, United States, Anti-Bacterial Agents, Parenteral, Risk Factors, 616, Outpatients, Ambulatory Care, Humans, Infusions, Parenteral
Infusions, Risk Management, Great Britain, 610, Risk Assessment, United Kingdom, United States, Anti-Bacterial Agents, Parenteral, Risk Factors, 616, Outpatients, Ambulatory Care, Humans, Infusions, Parenteral
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
