Electronic Versus Dictated Hospital Discharge Summaries: a Randomized Controlled Trial
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Patient care transitions are periods of enhanced risk. Discharge summaries have been used to communicate essential information between hospital-based physicians and primary care physicians (PCPs), and may reduce rates of adverse events after discharge.
To assess PCP satisfaction with an electronic discharge summary (EDS) program as compared to conventional dictated discharge summaries.
Cluster randomized trial.
Four medical teams of an academic general medical service.
The primary endpoint was overall discharge summary quality, as assessed by PCPs using a 100-point visual analogue scale. Other endpoints included housestaff satisfaction (using a 100-point scale), adverse outcomes after discharge (combined endpoint of emergency department visits, readmission, and death), and patient understanding of discharge details as measured by the Care Transition Model (CTM-3) score (ranging from 0 to 100).
209 patient discharges were included over a 2-month period encompassing 1 housestaff rotation. Surveys were sent out for 188 of these patient discharges, and 119 were returned (63% response rate). No difference in PCP-reported overall quality was observed between the 2 methods (86.4 for EDS vs. 84.3 for dictation; P = 0.53). Housestaff found the EDS significantly easier to use than conventional dictation (86.5 for EDS vs. 49.2 for dictation; P = 0.03), but there was no difference in overall housestaff satisfaction. There was no difference between discharge methods for the combined endpoint for adverse outcomes (22 for EDS [21%] vs. 21 for dictation [20%]; P = 0.89), or for patient understanding of discharge details (CTM-3 score 80.3 for EDS vs. 81.3 for dictation; P = 0.81)
An EDS program can be used by housestaff to more easily create hospital discharge summaries, and there was no difference in PCP satisfaction.
- Electronic Versus Dictated Hospital Discharge Summaries: a Randomized Controlled Trial
Journal of General Internal Medicine
Volume 24, Issue 9 , pp 995-1001
- Cover Date
- Print ISSN
- Online ISSN
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- care transitions
- medical informatics
- electronic health records
- randomized controlled trial
- hospital discharge
- Industry Sectors
- Author Affiliations
- 1. Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- 2. Department of Medicine, St. Michael’s Hospital, Toronto, ON, Canada
- 5. Keenan Research Centre in the Li Ka Shing Knowledge Institute of St. Michael’s Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
- 3. Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada
- 4. The Institute for Clinical Evaluative Sciences, Toronto, ON, Canada