改善纳洛酮联合处方系统的临床决策支持
The objective of this study is to evaluate the impact of a clinical decision support (CDS) alert to facilitate the co-prescribing of naloxone, an opioid overdose reversal agent, with high-risk opioid prescriptions. Prescribing naloxone with opioids is a best practice described in the 2022 US Center for Disease Control and Prevention (CDC) guidelines on opioid prescribing. The CDS can improve quality of care delivered by improving compliance with the guideline defined best practices. The project will compare CDS alert facilitated co-prescribing of naloxone with high-risk opioid prescriptions vs usual care to evaluate the effectiveness of the CDS alert for improving naloxone prescribing. The patients are not assigned to an intervention and will be receiving any changes in care as part of their routine medical care, rather than a specific intervention that is distinct from their usual medical care. The researchers hypothesize that the CDS alert will be acceptable to providers while increasing naloxone co-prescribing which will reduce the number of opioid overdoses in subsequent 6 months.
研究概览
地位
详细说明
Clinical decision support tools help clinicians make treatment decisions based on routinely collected data and offer a promising strategy to implement evidence-based practices for safe and effective pain management. This project will use clinical decision support tools embedded into electronic health records to help healthcare providers make treatment decisions that align with opioid prescribing guidelines from the Centers for Disease Control and Prevention (CDC). The project will also use information from prescription drug monitoring programs, insurance claims, and mortality data to evaluate patient outcomes. This research will evaluate how prescribing practices that align with CDC guidelines affect patient outcomes and whether clinical decision support tools provide an advantage over standard care practices for pain management.
研究类型
注册 (实际的)
联系人和位置
学习地点
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Colorado
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Aurora、Colorado、美国、80045
- University of Colorado Hospital
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-
参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Residents and visitors to the state of Colorado who seek healthcare within the University of Colorado Health (UCHealth) system.
描述
Inclusion Criteria:
- Patients receiving an opioid prescription at discharge from inpatient/ED or close visit in outpatient settings where the clinical decision support (CDS) is implemented
Exclusion Criteria:
- Patients <12 and >89 year of age
- Cancer diagnosis
- Hospice care/palliative care
- Sickle cell disease diagnosis
- Patients who arrived in error
- Patients who were triaged to obstetrics
学习计划
研究是如何设计的?
设计细节
- 观测模型:COHORT
- 时间观点:PROSPECTIVE
队列和干预
团体/队列 |
干预/治疗 |
|---|---|
|
Clinical Decision Support (CDS): Naloxone Alert
Encounters where the naloxone clinical decision support (CDS) alert fired. CDS logic is programmed to fire alert when a provider places and order for a high-risk opioid analgesic prescription to a patient without an active naloxone prescription. High-risk prescription logic to trigger the Naloxone CDS: [(NOT 1 AND (2 AND AT LEAST 1 OF (3, 4, 5, 6))) AND 7 AND NOT 8]
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Clinical decision support in the form of an EHR-integrated, provider facing alert suggesting (a) the opioid medication order is considered high risk for overdose and (b) to nudge providers to add a naloxone prescription to the opioid prescription to mitigate risk in the event of an overdose. |
|
Usual Care
Control group of contemporary encounters where clinical decision support (CDS) is not active. Usual care. |
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 |
|---|---|---|
|
Percentage of a high-risk opioid analgesic prescriptions receiving a co-prescription of naloxone
大体时间:18 months
|
The number of high-risk opioid encounters where a naloxone prescription was written with the opioid divided by the total number of encounters where a high-risk opioid prescription was written. |
18 months
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Clinical decision support (CDS) acceptance rate
大体时间:18 months
|
The number of times providers accepted the Clinical decision support (CDS) suggestion and co-prescribed naloxone with a high-risk opioid divided by the total number of times a high-risk opioid prescription triggered the CDS alert. |
18 months
|
|
Subsequent opioid overdose/poisonings rates
大体时间:Six months after an encounter where the naloxone clinical decision support fired for the provider
|
The number of patients who had a diagnosis of opioid overdose or poisoning in the six months following the index visit with a high-risk opioid prescribed. |
Six months after an encounter where the naloxone clinical decision support fired for the provider
|
|
Naloxone dispensed rate
大体时间:In the 3 days after the naloxone prescription is written
|
The number of patients who were dispensed a naloxone prescription divided by the number of naloxone prescriptions written. |
In the 3 days after the naloxone prescription is written
|
合作者和调查者
调查人员
- 首席研究员:Jason A Hoppe, DO、University of Colorado, Denver
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他研究编号
- 23-2356
- R61DA057610 (美国 NIH 拨款/合同)
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)?
IPD 计划说明
De-identified quantitative EHR data utilized in this project will be housed on the National Addiction and HIV Data Archive Program (NAHDAP) website.
IPD 共享时间框架
Data will be provided to NAHDAP after study results are published in peer-reviewed journals.
IPD 共享访问标准
Prior to downloading study data, the individual will have to register with the site and agree to a standard data use agreement.
IPD 共享支持信息类型
- 研究方案
药物和器械信息、研究文件
研究美国 FDA 监管的药品
研究美国 FDA 监管的设备产品
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