A Virtual Ward to Reduce Readmissions After Hospital Discharge
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Purpose
The purpose of this study is to see whether a Virtual Ward reduces readmissions after hospital discharge.
| Condition | Intervention |
|---|---|
|
Acute Disease |
Other: Virtual Ward Other: Usual care |
| Study Type: | Interventional |
| Study Design: | Allocation: Randomized Endpoint Classification: Efficacy Study Intervention Model: Parallel Assignment Masking: Single Blind (Outcomes Assessor) Primary Purpose: Health Services Research |
| Official Title: | A Virtual Ward to Reduce Readmissions After Hospital Discharge |
- Composite of readmission to hospital or death. [ Time Frame: 30 days after hospital discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing either readmission to hospital or death within 30 days of hospital discharge. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Composite of readmission or death [ Time Frame: 90 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing either readmission to hospital or death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Composite of readmission or death [ Time Frame: 6 months after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing readmission to hospital within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Composite of readmission or death [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing either readmission to hospital or death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Emergency department visits [ Time Frame: 30 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing an emergency department visit within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Emergency department visits [ Time Frame: 90 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing an emergency department visit within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Emergency department visits [ Time Frame: 6 months after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing an emergency department visit within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Emergency department visits [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing an emergency department visit within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Long-term care admission [ Time Frame: 30 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing a long-term care admission within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Long-term care admission [ Time Frame: 90 days after discharge ] [ Designated as safety issue: Yes ]A binary outcome variable for each patient, representing a long-term care admission within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Long-term care admission [ Time Frame: 6 months after discahrge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing a long-term care admission within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Long-term care admission [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing a long-term care admission within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Death [ Time Frame: 90 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences
- Death [ Time Frame: 6 months after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences
- Death [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences
- Death [ Time Frame: 30 days after discharge ] [ Designated as safety issue: No ]A binary outcome variable for each patient, representing death within the time periods noted above. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences
- Composite of readmission to hospital or death. [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]Time to the composite outcome of either readmission to hospital or death. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Data will be censored on the date of the last follow up (i.e., 30 days, 90 days or 6 months). Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Readmission [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]Time to readmission to hospital. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Data will be censored on the date of the last follow up (i.e., 30 days, 90 days or 6 months), or on death. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Emergency department visits [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]Time to emergency department visit. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Data will be censored on the date of the last follow up (i.e., 30 days, 90 days or 6 months), or on readmission or death. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Long-term care admission [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]Time to long-term care admission. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Data will be censored on the date of the last follow up (i.e., 30 days, 90 days or 6 months), or on death. Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
- Death [ Time Frame: One year after discharge ] [ Designated as safety issue: No ]Time to death. A research assistant blinded to the assignment will ascertain this information via telephone using a standardized script. Data will be censored on the date of the last follow up (i.e., 30 days, 90 days or 6 months). Second, we may also ascertain this information by linking the data we collect to administrative databases housed at the Institute for Clinical Evaluative Sciences.
| Estimated Enrollment: | 1928 |
| Study Start Date: | June 2010 |
| Estimated Study Completion Date: | August 2014 |
| Estimated Primary Completion Date: | August 2013 (Final data collection date for primary outcome measure) |
| Arms | Assigned Interventions |
|---|---|
| Active Comparator: Usual Care |
Other: Usual care
The usual care provided to patients after discharge from hospital
|
| Experimental: Virtual Ward |
Other: Virtual Ward
A multidisciplinary team to optimize medical and social care for patients residing in their own homes
|
Detailed Description:
We will conduct a pragmatic, randomized controlled trial to evaluate a new model of care for high-risk medical patients after discharge from hospital. This new model of care has two key elements. First, we will use the LACE index (see citation below for details) to identify patients who are at high risk of readmission or death after hospital discharge. These patients will be randomized to either the Virtual Ward or usual care on the day of discharge. Although patients being cared for in the Virtual Ward will reside at home, they will benefit from a hospital-like interdisciplinary team, a shared set of notes, a single point of contact, round-the-clock physician availability and increased co-ordination of specialist, primary and home-based community care for several weeks after hospital discharge.
Eligibility| Ages Eligible for Study: | 18 Years and older |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Discharge from medical service
- LACE score greater than or equal to 10
- Age greater than or equal or 18
- Resident in Toronto Central Local Health Integration Network catchment area
- Patient or designate able to speak English well enough for follow up telephone calls
Exclusion Criteria:
- Previously enrolled in study
- Discharged to a rehabilitation or complex continuing care facility
Contacts and Locations| Contact: Irfan Dhalla, MD, MSc | (416) 864-6060 ext 7113 | dhallai@smh.ca |
| Canada, Ontario | |
| St. Michael's Hospital | Recruiting |
| Toronto, Ontario, Canada, M5B 1W8 | |
| Contact: Irfan Dhalla (416) 864-6060 ext 7113 dhallai@smh.ca | |
| Principal Investigator: Irfan Dhalla | |
| Principal Investigator: Andreas Laupacis | |
| Women's College Hospital | Active, not recruiting |
| Toronto, Ontario, Canada | |
| University Health Network | Recruiting |
| Toronto, Ontario, Canada | |
| Contact: Howard Abrams, MD howard.abrams@uhn.ca | |
| Principal Investigator: Howard Abrams | |
| Toronto Central Community Care Access Centre | Active, not recruiting |
| Toronto, Ontario, Canada | |
| Sunnybrook Health Sciences Centre | Recruiting |
| Toronto, Ontario, Canada | |
| Contact: Brian Wong, MD brianm.wong@sunnybrook.ca | |
| Principal Investigator: Brian Wong, MD | |
| Principal Investigator: Rajin Mehta, MD | |
| Principal Investigator: | Irfan Dhalla, MD, MSc | St. Michael's Hospital/University of Toronto |
More Information
Publications:
| Responsible Party: | Irfan Dhalla, Staff Physician & Scientist, St. Michael's Hospital, Toronto |
| ClinicalTrials.gov Identifier: | NCT01108172 History of Changes |
| Other Study ID Numbers: | 216852-PHE-CEAJ-25173 |
| Study First Received: | April 13, 2010 |
| Last Updated: | December 29, 2012 |
| Health Authority: | Canada: Ethics Review Committee |
Additional relevant MeSH terms:
|
Acute Disease Disease Attributes Pathologic Processes |
ClinicalTrials.gov processed this record on May 22, 2013