Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population
2021年6月14日 更新者：Rachel D. Havyer、Mayo Clinic
A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults.
研究概览
详细说明
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.
研究类型
介入性
注册 (实际的)
127070
阶段
- 不适用
联系人和位置
本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。
学习地点
-
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Minnesota
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Rochester、Minnesota、美国、55905
- Mayo Clinic in Rochester
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参与标准
研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。
资格标准
适合学习的年龄
18年 及以上 (成人、年长者)
接受健康志愿者
不
有资格学习的性别
全部
描述
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
学习计划
本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。
研究是如何设计的？
设计细节
- 主要用途：放映
- 分配：随机化
- 介入模型：交叉作业
- 屏蔽：无（打开标签）
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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无干预：Standard of Care
Palliative care specialists would not reach out to primary care providers.
Palliative care needs would be met via existing mechanisms.
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实验性的：Predictive Model
Palliative care specialists review recommendations from the predictive model and contact a patient's primary care provider (PCP) when appropriate to recommend a palliative care consult.
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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.
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Timely identification for need of palliative care
大体时间：Through study completion, an average of 1 year
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Time to electronic record of consult by the palliative care team in the outpatient setting
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Through study completion, an average of 1 year
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Number of palliative care consults
大体时间：Through study completion, an average of 1 year
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Number of palliative care consults that occurred on intervention and standard of care arms
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Through study completion, an average of 1 year
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Number of advanced care planning notes documented in the EHR
大体时间：Through study completion, an average of 1 year
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Number of advanced care planning notes documented in the EHR on both arms
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Through study completion, an average of 1 year
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Number of billing codes for palliative care
大体时间：Through study completion, an average of 1 year
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Number of ICD-10 billing codes for palliative care on both arms
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Through study completion, an average of 1 year
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Positive predictive value of screened patients
大体时间：Through study completion, an average of 1 year
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Percentage of screened patients that received palliative care consults
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Through study completion, an average of 1 year
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Percent of patients who are eligible for ECH based palliative care
大体时间：Through study completion, an average of 1 year
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Percent of patients who are eligible for employee/community health (ECH) based palliative care compared to the Palliative Care Clinic.
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Through study completion, an average of 1 year
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Percent agreement between Palliative Care and Primary Care and average time between Primary Care Contact and Response
大体时间：Through study completion, an average of 1 year
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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.
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Through study completion, an average of 1 year
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合作者和调查者
在这里您可以找到参与这项研究的人员和组织。
赞助
调查人员
- 首席研究员：Rachel Havyer, MD、Mayo Clinic
出版物和有用的链接
负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。
研究记录日期
这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。
研究主要日期
学习开始 (实际的)
2020年8月31日
初级完成 (实际的)
2021年5月31日
研究完成 (实际的)
2021年5月31日
研究注册日期
首次提交
2020年10月14日
首先提交符合 QC 标准的
2020年10月21日
首次发布 (实际的)
2020年10月27日
研究记录更新
最后更新发布 (实际的)
2021年6月16日
上次提交的符合 QC 标准的更新
2021年6月14日
最后验证
2021年6月1日
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.