Abstract

Routine patient signout within medical teams is an integral component of patient care. Standardized signout systems have shown lowered risks of harm and adverse outcomes to patients, however, many of these systems are difficult to utilize with surgical patients. The purpose of this study was to determine if a standardized surgical signout model would improve resident satisfaction of the signout process and improve resident preparedness for cross-covered services. A 16-question survey was administered to the surgical residents at a single general surgery residency program. A standardized signout using the mnemonic "CUTS" (Core problem, Updates, Things-to-do, Setbacks) was then implemented in the program. Residents retook the survey at 1, 3, and 6-month intervals to compare resident satisfaction on signout before and after the standardized signout implementation. The descriptive statistics of the survey were analyzed for trends over time, trends by resident training year, and for inferential statistics utilizing subscales. The descriptive statistics showed that there was an overall trend towards greater resident satisfaction with signout over time with satisfaction increasing from 41.1% to 80% in the general resident cohort. While there were no statistically significant differences, subscale analysis demonstrated greatest trends for improved satisfaction with the CUTS signout model for the PGY1 and PGY5 classes. There was additionally an increased resident preparedness for overnight events and calls, with a 27% increase in perceived preparedness "75% of the time" and a 5.5% increase in perceived preparedness "Always". There was no difference in time spent on signout after the implementation of the model. The surgical standardized signout model, CUTS, demonstrated that residents within a single program were more satisfied with signouts, had improved patient understanding and knowledge, and felt increased preparedness for overnight events on cross-covered patients. Further research is needed to determine the impact of the CUTS signout system on patient outcomes.

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