Study Stopped
Trend toward increased readmissions in the auto-delivery arm.
Study of Automated Care Pathway for Patients With Chronic Obstructive Pulmonary Disease (COPD)
EPICPath
Early Patient Identification and Care Pathway for Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Randomized Controlled Trial of Informatics Enhanced Hospital Admission
1 other identifier
interventional
310
1 country
1
Brief Summary
This is a fully automated randomized trial with two randomization branch-points. The first is inclusion of disease-specific orders in the admission orders based on a predictive model using real-time data. The second is the use of dynamic orders that are end-user tested rather than static orders designed by a committee. The primary hypothesis is that automatic inclusion of disease specific orders with admission orders will improve adherence to guidelines for patients with COPD. The secondary hypothesis is that clinical and operational outcomes will improve, thereby improving value.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2018
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 4, 2017
CompletedFirst Posted
Study publicly available on registry
January 23, 2017
CompletedStudy Start
First participant enrolled
March 26, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 23, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
January 23, 2019
CompletedJune 18, 2019
June 1, 2019
10 months
January 4, 2017
June 15, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Use of evidence-based COPD order set
Proportion of admissions for COPD exacerbation that use the COPD order set
one year
Secondary Outcomes (11)
Average length of stay
one year
Number of inpatient encounters
one year
30-day readmission rates
one year
Mortality
one year
Intubations
one year
- +6 more secondary outcomes
Study Arms (4)
Usual care and order set A
NO INTERVENTIONUsual care. Providers may still search for a COPD order set, and in this arm will see version A, the static list of orders, which is the current state.
Usual care and order set B
ACTIVE COMPARATORUsual care in the sense that COPD orders are not automatically included in admission orders despite likelihood of a COPD admission based on the predictive model. However, providers may still search for a COPD order set, and in this arm will see version B, the dynamic list of orders that has been end user tested prior to launch.
Automatic inclusion and order set A
ACTIVE COMPARATORCOPD order set is automatically included in admission orders as a static list.
Automatic inclusion and order set B
ACTIVE COMPARATORCOPD order set is automatically included in admission orders as a dynamic and end user tested version.
Interventions
Use of real-time data to identify a population of patients with COPD and prompt improved adherence to evidence-based guidelines through the automatic inclusion of a COPD order set in the admission orders.
Use of a dynamic order set that has been end-user tested prior to launch rather than designed centrally by a committee to test use of order set components.
Eligibility Criteria
You may qualify if:
- Patients 18 years old or greater admitted to the Hospital Medicine service at UCSF Medical Center who meet criteria as determined by predictive model to be likely admissions for COPD exacerbation.
You may not qualify if:
- Patients admitted to other clinical services at UCSF Medical Center.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of California, San Francisco
San Francisco, California, 94143, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ari Hoffman, MD
University of California, San Francisco
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- TREATMENT
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Clinical Professor
Study Record Dates
First Submitted
January 4, 2017
First Posted
January 23, 2017
Study Start
March 26, 2018
Primary Completion
January 23, 2019
Study Completion
January 23, 2019
Last Updated
June 18, 2019
Record last verified: 2019-06