Automated Versus Conventional Hospital Discharge Summaries and Prescriptions
Continuity of Patient Care
Medical Records Systems, Computerized
Hospital Information Systems
Other: Electronic discharge summary system
|Study Design:||Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Open Label
Primary Purpose: Health Services Research
|Official Title:||Automated Versus Conventional Hospital Discharge Summaries and Prescriptions: A Randomized Controlled Trial|
- Primary care physician satisfaction from satisfaction score assessment form with 100-mm visual analogue scale [ Time Frame: Satisfaction score assessment form to be sent one week after patient's discharge from hospital. If form is not returned in 14 days, a reminder and second form will be sent. ]
- St. Michael's Hospital housestaff satisfaction from satisfaction score assessment form with 100-mm visual analogue scale [ Time Frame: Housestaff will fill out form upon completion of the rotation during which the study has been performed ]
- Completion of specialist outpatient workups at St. Michael's Hospital recommended during course of hospitalization [ Time Frame: Within the first 30 days of patient's discharge from hospital ]
- Patient visits to Emergency Room at St. Michael's Hospital [ Time Frame: Within the first 30 days after patient's discharge from hospital ]
- Patient/proxy care transition assessment through the use of the CTM-3. [ Time Frame: Phone call made to patient or proxy one week after discharge. If patient/proxy is not reached, follow up calls will be made daily until patient/proxy is reached. ]
- Prescribing errors as assessed by comparing discharge summary to inpatient record [ Time Frame: Upon discharge ]
- Patient readmissions to St. Michael's Hospital [ Time Frame: Within 30 days of discharge ]
|Study Start Date:||May 2008|
|Study Completion Date:||July 2008|
|Primary Completion Date:||June 2008 (Final data collection date for primary outcome measure)|
The eDischarge arm will consist of two teams on the General Internal Medicine ward at St. Michael's Hospital who have been randomly assigned to use the electronic discharge summary program.
Other: Electronic discharge summary system
The customized electronic discharge summary program will be used to generate patient discharge summaries.
No Intervention: Traditional
The traditional arm will consist of two teams on the General Internal Medicine ward at St. Michael's Hospital who have been randomly assigned to use "traditional," dictated discharge summaries.
For patients hospitalized with an acute illness, the days following discharge constitute a critical period. Patients must adjust to changes in their medications, follow up with family doctors and other specialists and know what symptoms should prompt a return to hospital. The community physicians who follow them rely on information from their hospitalization to facilitate this transition, and provide continuity of care.
Communication between hospital and community physicians is essential to this process, and has traditionally been accomplished by a dictated discharge summary. Previous studies have shown that while dictated discharge summaries can be inaccurate, incomplete, or untimely, computer generated summaries are produced more quickly and accurately. Moreover, database-generated discharge summaries are preferred by physicians in the community.
We have designed a web-based computer program with quality assurance features that automatically generates timely discharge summaries. We aim to study this program over a 2 month period on our general medicine unit by means of a randomized controlled trial. Our hypothesis is that community physicians will prefer the computer generated summaries, over the standard dictated summaries. If effective, our system could be implemented more widely, and would stand to improve communication with community physicians, continuity of care, and patient safety.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00670865
|St. Michael's Hospital|
|Toronto, Ontario, Canada, M5B 1W8|
|Principal Investigator:||David M Maslove, MD||St. Michael's Hospital, Toronto|
|Principal Investigator:||Chaim M Bell, MD, PhD, FRCPC||St. Michael's Hospital; University of Toronto|