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Protocol for evaluating the nationwide implementation of the VA Stratification Tool for Opioid Risk Management (STORM)

机译:用于评估全国范围内实施VA分层工具的议定书,用于阿片类风险管理(Storm)

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BackgroundDrug overdoses have become the number one cause of accidental deaths in the United States (US). In particular, opioid overdose rates have surpassed the highest death rates from HIV, firearms, and motor vehicle accidents [1, 2]. Many have called the increase in opioid use and opioid-related adverse events a public health epidemic [3,4,5,6,7]. The increase in opioid medication prescribing has been a significant contributor to the increase in the incidence of drug overdose [8,9,10,11,12]. In 2014, 4.3 million people abused the prescription of opioids and 1.9 million people had an opioid use disorder (OUD) related to prescription opioids [13]. A seminal study in the Veterans Affairs (VA) Healthcare System demonstrated an association between receiving higher opioid doses and increased risk of opioid overdose death [9]. A similar risk has been demonstrated in non-VA settings [11, 12].Opioid abuse is especially problematic among VA patients, as the annual prevalence rates are almost seven times higher than found in commercial health plans [14]. The number of Veterans receiving opioids at the VA almost doubled from 651,000 Veterans in 2001 to 1,101,346 in 2013. In 2013, 23% of VA pharmacy users received an opioid, up from 19% in 2001. Although opioid prescriptions have declined from 2013 to 2017 [15], safe prescribing remains a significant problem.In 2013, VA launched the Opioid Safety Initiative to promote the safe and effective use of opioid analgesics. A major component of this initiative was the calculation and dissemination of monthly metrics on the average dose per day of select opioids and number of patients on concomitant opioids and benzodiazepines to facility and regional leaders (regions defined by 18 independent Veterans Integrated Service Networks (VISNs)) [16].To augment these monthly metrics, the Office of Mental Health and Suicide Prevention (OMHSP) and the National Pain Management Program developed a predictive model to estimate the risk of serious adverse events (or SAEs, i.e., suicide-related events, overdoses, overdose deaths) among patients who are prescribed opioids. OMHSP translated the predictive model into the Stratification Tool for Opioid Risk Management (STORM). OMHSP developed STORM to empower facilities and clinicians to provide targeted opioid risk mitigation strategies to the most at-risk Veterans [17]. Using data from electronic medical records on demographics, previous overdose or suicide-related events, prescriptions, substance use and mental health disorders, and medical co-morbidities, the STORM algorithm calculates a “risk score” of SAEs for each Veteran who is prescribed opioids [17]. Updated nightly and based on the underlying predictive model, the STORM dashboard displays the estimated % chance of experiencing an SAE for each Veteran as well as their level risk categorized as low, medium, high or very high (for filtering purposes). The STORM dashboard also displays various risk factors that apply to each patient, including relevant diagnoses, prescriptions (opioid, pain, sedation), and use of risk mitigation strategies (including non-pharmacologic treatments). Finally, to support care coordination, the STORM dashboard also displays upcoming appointments to primary care, mental health, pain clinic, or other treatment sources.In March of 2018, the VA released a national policy notice requiring all VA Medical Centers (VAMCs) to conduct data-based case reviews of patients with opioid prescriptions that STORM identifies as having very high risk of SAEs. Case reviews entail using the STORM dashboard and/or other data-based procedures (e.g., consulting state Prescription Drug Monitoring Programs) to evaluate each patient’s risk level and determine whether additional risk mitigation strategies (e.g., referral to pain specialist, prescription of naloxone kit) are indicated for that patient. The completed case review and any actions taken by the clinician are documented using a standardized note in the VA electronic medical record and in the STORM dashboard.The dissemination of the policy notice and the impact of deploying STORM were selected as the focus of a randomized program evaluation for several reasons. First, the policy was motivated by the Commission on Care [18], a synthesis of an independent assessment of VA care, which recommended that VA, “Adopt a continuous improvement methodology to support VA transformation, and consolidate best practices...”. Also, the STORM dashboard is aligned with VA priorities to improve opioid safety, has the potential to fulfill the VA’s obligation to provide targeted opioid risk mitigation under the 2016 Comprehensive Addiction and Recovery Act (CARA; Public Law 114-198), and is ready for widespread implementation.The STORM randomized program evaluation is being conducted by the VA Center for Health Equity Research and Promotion (CHERP), the Partnered Evidence-Based Policy Resource Center (PEPReC), and OMHSP. As described elsewhere a
机译:Backgroundstrug overoSed已成为美国(美国)意外死亡的头号原因。特别是,阿片类药物过量率超过了艾滋病毒,枪支和机动车事故的最高死亡率[1,2]。许多人称为阿片类药物的增加和与阿片类药物相关的不良事件公共卫生流行病[3,4,5,6,7]。阿片类药物治疗规定的增加一直是药物过量发病率增加的重要因素[8,9,10,11,12]。 2014年,430万人滥用阿片类药物的处方和160万人的食物用途与处方阿片类药物有关的阿片类药物(Oud)[13]。退伍军人事务(VA)医疗保健系统的一项精选研究表明,接受更高的阿片类药物剂量和阿片类药物过量死亡的风险增加之间的关联[9]。在非VA设置中证明了类似的风险[11,12]。VA患者中opioid滥用尤其问题,因为年度流行率差计在商业卫生计划中的差计高于七倍[14]。在VA上接受阿片类药物的人数几乎在2001年的651,000名退伍军人上涨了2013年的1,101,346名。2013年,23%的VA药房用户获得了阿片类药物,从2001年增加了19%。虽然阿表手处处方从2013年到2017年下降[15],安全规定仍然是一个重大问题。2013年,VA推出了阿片类药物安全倡议,以促进阿片类药物镇痛药的安全有效使用。该倡议的主要组成部分是在选择阿片类药物和伴随阿片类药物和苯并二氮卓的患者的平均剂量的每月测量的每月度量计算和传播到设施和区域领导者(由18名独立退伍军人综合服务网络(VISNS)定义的地区)[16]。要增加这些月度指标,心理健康和自杀预防办公室(OMHSP)和国家痛苦管理计划制定了一种预测模型,以估计严重不良事件(或沙斯,即自杀相关事件的风险在规定阿片类药物的患者中,过量,过量死亡)。 OMHSP将预测模型转化为阿片类风险管理(Storm)的分层工具。 OMHSP向授权设施和临床医生制定了风暴,为最具风险的退伍军人提供了有针对性的阿片式风险缓解策略[17]。使用来自人口统计数据的电子医疗记录的数据,先前过量或自杀相关的事件,处方,物质使用和心理健康障碍,以及医疗共同生命性,风暴算法为每个处方阿片类药物的每个退伍军人计算Saes的“风险评分” [17]。风暴仪表板的夜间更新并基于潜在的预测模型,显示每个退伍军人体验SAE的估计%机会,以及他们的水平风险分类为低,中,高或非常高(用于过滤目的)。风暴仪表板还显示适用于每位患者的各种风险因素,包括相关诊断,处方(阿片类药物,疼痛,镇静)和风险缓解策略的使用(包括非药物治疗)。最后,为了支持护理协调,风暴仪表板还显示初级保健,心理健康,痛苦诊所或其他治疗来源的预约。2018年3月,VA发布了要求所有VA医疗中心(VAMC)的国家政策通知进行对阿片类药物处方患者的基于数据的案例审查,风暴确定为Saes的风险很大。案例审查需要使用风暴仪表板和/或其他基于数据的程序(例如,咨询状态处方药监测计划)来评估每个患者的风险水平,并确定额外的风险缓解策略(例如,转诊到止痛药,纳洛酮套件的处方。为该患者表示。完成案例审查和临床医生采取的任何行动在VA电子医疗记录和风暴仪表板中使用标准化的说明记录。政策通知的传播和部署风暴的影响被选为随机计划的重点评估有几个原因。首先,该政策受到护理委员会的动机[18],综合对VA护理的独立评估,这建议VA,“采用了不断改进的方法来支持VA转型,并巩固了最佳实践......”。此外,风暴仪表板与VA优先事项对齐以提高阿片类药物安全,有可能履行2016年全面成瘾和恢复法案(Cara;公式114-198)下提供有针对性的阿片类药物风险减缓的义务。为了广泛实现。风暴随机计划评估是由VA卫​​生股权研究和促进(Cherp),合作的证据的政策资源中心(PEPREC)和OMHSP进行。如其他地方所述

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