Improving Information Transfer during Transitions of Care via Standardized Handoffs
Multiple studies have shown the detrimental effect of miscommunication during transitions of care. The aim of this study is to determine whether a certain method of “sign-out” can improve information transmission and thereby reduce medical errors. Surgical interns underwent a 90-minute training sess...
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Veröffentlicht in: | The American surgeon 2018-07, Vol.84 (7), p.1169-1174 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Multiple studies have shown the detrimental effect of miscommunication during transitions of care. The aim of this study is to determine whether a certain method of “sign-out” can improve information transmission and thereby reduce medical errors. Surgical interns underwent a 90-minute training session before starting residency in five previously verified methods of sign-out. They were randomly assigned to six groups (five methods and a control group). They were then given seven simulated patient charts with varying levels of medical complexity. They were then instructed to “sign-out” the patients to randomly selected colleagues. The control group did not use any of the previously taught methods and passed on information in a manner of their choosing. None of the methods consistently results in excellent transitions of care. Patient information values ranged from 26 to 40 (depending on complexity). Major points were consistently missed by all methods, but this may have been a component of the time constraint placed on this study. The “SIGNOUT?” method resulted in superior data transmission when compared with the control group (P = 0.0401). The only method that seemed to be significantly inferior was the “9Ds” method (P = 0.0610). The “SIGNOUT?” method leads to the largest amount of relevant information transmitted to the incoming team. There was no statistically significant difference among the other methods. Improvement in “sign-out” modalities and training may improve transmission of relevant patient information, but larger studies are needed to verify the data seen in this small, single-site study. |
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ISSN: | 0003-1348 1555-9823 |
DOI: | 10.1177/000313481808400732 |