| Autor: |
Rubin MN; Department of Neurology, Mayo Clinic, Scottsdale, AZ, USA., Fugate JE; Department of Neurology, Mayo Clinic, Rochester, MN, USA., Barrett KM; Department of Neurology, Mayo Clinic, Jacksonville, FL, USA., Rabinstein AA; Department of Neurology, Mayo Clinic, Rochester, MN, USA., Flemming KD; Department of Neurology, Mayo Clinic, Rochester, MN, USA. |
| Abstrakt: |
A point-of-care workflow checklist in the form of an iOS (iPhone Operating System) app for use by stroke providers was introduced with the objective of standardizing acute stroke evaluation and documentation at 2 affiliated academic medical centers. Providers used the app in unselected, consecutive patients undergoing acute stroke evaluation in an emergency department or hospital setting between August 2012 and January 2013 and August 2013 and February 2014. Satisfaction surveys were prospectively collected pre- and postintervention from residents, staff neurologists, and clinical data specialists. Residents (20 preintervention and 16 postintervention), staff neurologists (6 pre and 5 post), and clinical data specialists (4 pre and 4 post) participated in this study. All 16 (100%) residents had increased satisfaction with their ability to perform an acute stroke evaluation postintervention but only 9 (56%) of 16 felt the app was more help than hindrance. Historical controls aligned with preintervention results. Staff neurologists conveyed increased satisfaction with resident presentations and decision making when compared to preintervention surveys. Stroke clinical data specialists estimated a 50% decrease in data abstraction when the app data were used in the clinical note. Concomitant effect on door-to-needle (DTN) time at 1 site, although not a primary study measure, was also evaluated. At that 1 center, the mean DTN time decreased by 16 minutes when compared to the corresponding months from the year prior. The point-of-care acute stroke workflow checklist app may assist trainees in presenting findings in a standardized manner and reduce data abstraction time. The app may help reduce DTN time, but this requires further study. |
