Pragmatic Trial of User-centered Clinical Decision Support to Implement EMergency Department-initiated BuprenorphinE for Opioid Use Disorder
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 5,047
- 试验地点
- 44
- 主要终点
- Count of Initiating BUP in the ED With Referral for Ongoing MOUD With User-centered CDS Compared With Usual Care
研究概览
简要总结
Emergency Departments (EDs) frequently care for individuals with Opioid Use Disorder (OUD). Buprenorphine (BUP) is an effective treatment option for patients with OUD that can safely be initiated in the ED. At present, BUP is rarely initiated as a part of routine ED care. Clinical decision support (CDS) represents a potential approach to accelerate adoption of this best practice into routine emergency care. The goal of this trial is to determine whether implementation of a user-centered clinical decision support (CDS) system can increase adoption of initiation of BUP into the routine emergency care of individuals with OUD.
详细描述
The study design is an 18-month pragmatic, parallel, cluster randomized, superiority trial using constrained randomization of clusters to arms. The unit of randomization (i.e. cluster) is the ED. EDs will be randomly allocated with an allocation ratio of 1:1. Adequate lead time will be allotted to install the intervention in the electronic health records (EHR) at all intervention sites--including a three month implementation and washout phase. The intervention will then begin at the same time across all sites with the CDS intervention fully implemented in the intervention sites' EHRs at the start of the trial. Clinicians at control sites will retain all control of their practice and practice as usual without the CDS intervention installed in their EHR.
Pragmatic trials study an intervention under the usual conditions in which it will be applied; as opposed to an explanatory trial which would test an intervention under ideal conditions. In cluster randomized trials, treatment intervention is allocated to clusters (i.e. groups of individuals) rather than individuals. This is done to manipulate the physical or social environment of the intervention when an individual intervention would likely result in contamination between intervention and control participants at the group level. The parallel cluster randomized design was chosen over a stepped wedge design due to the high likelihood of confounding by temporal trends from ongoing efforts to mitigate the opioid epidemic. A major challenge of the cluster randomized design is from potential confounding due to a limited number of heterogeneous groups. Constrained randomization offers a solution to this source of confounding by balancing key cluster-level prognostic factors across the study to avoid distorting estimates of treatment effect due to the confounding factors. This allocation technique more evenly distributes potential confounders between intervention arms by specifying the confounding factors, characterizing each cluster in terms of these factors, identifying a subset of randomization combinations of clusters that adequately balance confounding factors between intervention arms and randomly selecting one of these combinations as the allocation scheme. Potential confounders that will be used for this trial are: EHR vendor, ED annual volume, ED type (e.g., academic, community, urban, rural, etc), ratio of ED clinicians who have a waiver to prescribe BUP, current rate of ED BUP prescribing, resources in ED to facilitate management of patients with OUD, and willingness of staff to adopt the practice of ED-initiation of BUP.
Intervention:
The intervention for this study includes the user-centered CDS as well as education of ED clinicians practicing at all study sites.
The need for flexibility in the graphical user interface of the intervention resulted in the decision to develop the CDS as a web application. This provides the ability to access the tool both embedded within the EHR or directly over the Internet. The web application was developed as a single-page application (SPA) based on React JavaScript library. The CDS is a user-initiated, Substitutable Medical Applications and Reusable Technologies (SMART) on Fast Health Interoperability Resources (FHIR) application that streamlines a flow diagram of the clinical protocol for ED-initiated BUP.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 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
- 否
入选标准
- •All clinicians working in Emergency Departments in the selected sites
- •18 years or older
- •Will meet an EHR-derived phenotype suggesting possible OUD will be included in the analysis
- •Will be discharged from the ED
- •Not pregnant
- •Not currently taking any medication for Opioid Use Disorder
排除标准
- •Have a medical or psychiatric condition that requires hospitalization during the ED visit
- •Have prior enrollment in the current study
- •Currently in addiction treatment
- •Be a prisoner or in police custody at the time of ED visit
- •Note: The CDS will also be available for physicians to use when patients do not meet the EHR phenotype. These patients will be excluded from the primary analyses
结局指标
主要结局
Count of Initiating BUP in the ED With Referral for Ongoing MOUD With User-centered CDS Compared With Usual Care
时间窗: Upon discharge (Up to 1 day)
The primary outcome will be Buprenorphine (BUP) initiation in the Emergency Department (ED), defined as whether or not an eligible patient is administered BUP in the ED and/or prescribed BUP upon discharge from the ED. Although this is not a patient-centered outcome, it is a pragmatic and meaningful surrogate that will serve as a lead indicator of the CDS intervention's effect on engaging more OUD patients in treatment. Medications for Opioid Use Disorder (MOUD)
次要结局
- Count of Those With Referral to Follow-up for Ongoing MOUD Treatment (Patient Level)(Upon discharge (Up to 1 day))
- Rates Receiving a MAT Appointment Who go to the Appointment(18 months)
- Number of Clinicians Providing ED-initiated BUP(18 months)
- Number of Clinicians Who Have Received Drug Addiction Treatment Act (DATA) of 2000 Training(18 months)
- Number of Clinicians Providing Referral of Any Ongoing MOUD Treatment(18 months)
