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OpenTrials
Completed

NCT Number: NCT04604457

Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population

A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults.

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Key information

Conditions

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Mayo Clinic in Rochester

Rochester, Minnesota, 55905, United States

About this study

A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults. These patients will be presented weekly to a palliative care specialist in a custom user interface. The palliative care specialist will reach out to primary care teams if she determines that the patient would benefit from palliative care. If the primary care provider agrees, he/she would write a palliative care consult order for the patient. The goal is to reduce the time to palliative care for these patients, who may not have been identified as quickly without the algorithm.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Palliative care contacts primary care

Other

Palliative care specialist reaches out to primary care to recommend a palliative care consult. If the primary care provider agrees, he/she will write an order for a palliative care consult.

Primary outcomes

  1. Timely identification for need of palliative care

    Time frame: Through study completion, an average of 1 year

    Time to electronic record of consult by the palliative care team in the outpatient setting

Secondary outcomes

  1. Number of palliative care consults

    Time frame: Through study completion, an average of 1 year

    Number of palliative care consults that occurred on intervention and standard of care arms

  2. Number of advanced care planning notes documented in the EHR

    Time frame: Through study completion, an average of 1 year

    Number of advanced care planning notes documented in the EHR on both arms

  3. Number of billing codes for palliative care

    Time frame: Through study completion, an average of 1 year

    Number of ICD-10 billing codes for palliative care on both arms

  4. Positive predictive value of screened patients

    Time frame: Through study completion, an average of 1 year

    Percentage of screened patients that received palliative care consults

  5. Percent of patients who are eligible for ECH based palliative care

    Time frame: Through study completion, an average of 1 year

    Percent of patients who are eligible for employee/community health (ECH) based palliative care compared to the Palliative Care Clinic.

  6. Percent agreement between Palliative Care and Primary Care and average time between Primary Care Contact and Response

    Time frame: Through study completion, an average of 1 year

    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.

Sponsors and collaborators

Lead sponsor

Mayo Clinic

Other

Registry information

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
Oct 27, 2020
Registry last updated
Jun 16, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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