跳至主要内容
临床试验/NCT04604457
NCT04604457已完成不适用

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

Mayo Clinic2 个研究点 分布在 1 个国家目标入组 127,070 人开始时间: 2020年8月31日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
Mayo Clinic
入组人数
127,070
试验地点
2
主要终点
Timely identification for need of palliative care

研究概览

简要总结

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

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Screening
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adult patient assigned to a primary care unit from July 2020 to June
  • 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.

排除标准

  • 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

结局指标

主要结局

Timely identification for need of palliative care

时间窗: Through study completion, an average of 1 year

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

次要结局

  • Number of advanced care planning notes documented in the EHR(Through study completion, an average of 1 year)
  • Number of billing codes for palliative care(Through study completion, an average of 1 year)
  • Number of palliative care consults(Through study completion, an average of 1 year)
  • Positive predictive value of screened patients(Through study completion, an average of 1 year)
  • Percent of patients who are eligible for ECH based palliative care(Through study completion, an average of 1 year)
  • Percent agreement between Palliative Care and Primary Care and average time between Primary Care Contact and Response(Through study completion, an average of 1 year)

研究者

发起方
Mayo Clinic
申办方类型
Other
责任方
Principal Investigator
主要研究者

Rachel D. Havyer

Principal Investigator

Mayo Clinic

研究点 (2)

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