Palliative Care Clinical Trial
Official title:
Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population
NCT number | NCT04604457 |
Other study ID # | 20-005977 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | August 31, 2020 |
Est. completion date | May 31, 2021 |
Verified date | June 2021 |
Source | Mayo Clinic |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults.
Status | Completed |
Enrollment | 127070 |
Est. completion date | May 31, 2021 |
Est. primary completion date | May 31, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Adult patient assigned to a primary care unit from July 2020 to June 2021. - Weekly the palliative care specialists will select patients by looking at patients in sorted order starting with the highest score and proceeding down the list and evaluating each patient for exclusion criteria. Exclusion Criteria: - Patients that have been seen by Palliative care will be excluded for 75 days - Patients under the age of 18 years. - Patients currently enrolled with hospice |
Country | Name | City | State |
---|---|---|---|
United States | Mayo Clinic in Rochester | Rochester | Minnesota |
Lead Sponsor | Collaborator |
---|---|
Mayo Clinic |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Timely identification for need of palliative care | Time to electronic record of consult by the palliative care team in the outpatient setting | Through study completion, an average of 1 year | |
Secondary | Number of palliative care consults | Number of palliative care consults that occurred on intervention and standard of care arms | Through study completion, an average of 1 year | |
Secondary | Number of advanced care planning notes documented in the EHR | Number of advanced care planning notes documented in the EHR on both arms | Through study completion, an average of 1 year | |
Secondary | Number of billing codes for palliative care | Number of ICD-10 billing codes for palliative care on both arms | Through study completion, an average of 1 year | |
Secondary | Positive predictive value of screened patients | Percentage of screened patients that received palliative care consults | Through study completion, an average of 1 year | |
Secondary | Percent of patients who are eligible for ECH based palliative care | Percent of patients who are eligible for employee/community health (ECH) based palliative care compared to the Palliative Care Clinic. | Through study completion, an average of 1 year | |
Secondary | Percent agreement between Palliative Care and Primary Care and average time between Primary Care Contact and Response | Agreement statistics (percent agreement and Kappa statistics) between Palliative Care and Primary Care and descriptive statistics (mean, etc.) on time between primary care contact and response. | Through study completion, an average of 1 year |
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