Prioritized Clinical Decision Support to Reduce Cardiovascular Risk

优先临床决策支持以降低心血管风险

• 批准号: 8249864
• 负责人: PATRICK J O'CONNOR
• 金额: $ 74.34万
• 依托单位: HEALTHPARTNERS INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8249864
• 关键词: Address; Adult; Affect; Algorithms; American; Aspirin; Body mass index; Caring; Case Manager; Chronic Disease; Clinic; Clinic Visits; Clinical; Clinical Trials; Control Groups; Data; Disease Outcome; Effectiveness of Interventions; Event; Evidence based treatment; Funding; Glucose; Intervention; Intervention Studies; Investments; Lead; Lipids; Mediator of activation protein; Medicine; Methods; Modeling; Myocardial Infarction; Nurses; Office Visits; Outpatients; Patients; Pharmacists; Phase; Population; Primary Care Physician; Primary Health Care; Private Sector; Provider; Public Sector; Randomized; Research; Resources; Risk; Risk Reduction; Simulate; Smoking; Stroke; Study Subject; System; Technology; Testing; Time; Training; Twin Multiple Birth; United States National Institutes of Health; Work; base; cardiovascular risk factor; care delivery; cost; cost effectiveness; design; group intervention; improved; innovation; novel; point of care; post intervention; primary care setting; public health relevance; randomized trial; tool; treatment as usual

DESCRIPTION (provided by applicant): The objective of this project is to develop and implement sophisticated point-of-care EHR-based clinical decision support that (a) identifies and (b) prioritizes all available evidence-based treatment options to reduce a given patient's cardiovascular risk (CVR). After developing the EHR-based decision support intervention, we will test its impact on CVR, the components of CVR, in a group randomized trial that includes 18 primary care clinics, 60 primary care physicians, and 18,000 adults with moderate or high CVR. This approach, if successful, will (a) improve chronic disease outcomes and reduce CVR for about 35% of the U.S. adult population, (b) maximize the clinical return on the massive investments that are increasingly being made in sophisticated outpatient EHR systems, and (c) provide a model for how to use EHR technology support to deliver "personalized medicine" in primary care settings. PUBLIC HEALTH RELEVANCE: The objective of this project is to develop and implement sophisticated point-of-care EHR-based clinical decision support that (a) identifies and (b) prioritizes all available evidence-based treatment options to reduce a given patient's cardiovascular risk (CVR). The prioritized list of treatment options is provided in different formats to both the primary care physician (PCP) and patient at the time of each office visit made by a patient with moderate to high CVR and sub-optimally controlled and potentially reversible CVR factors. Available evidence-based treatment options are prioritized based on the magnitude of potential CVR reduction of each treatment option. This intervention strategy, referred to as Prioritized Clinical Decision Support (PCS), is specifically designed for widespread use in primary care settings and has the potential to substantially augment current efforts to control CVR in the 35% of American adults with 10-year Framingham CVR of 10% or higher. To assess the ability of the PCS intervention to reduce CVR in adults, we will randomize 18 primary care clinics with 60 primary care physicians (PCPs) and approximately 18,000 eligible adults with baseline Framingham 10-year risk of a major CV event (either heart attack or stroke) of 10% or more into one of two experimental conditions: Group 1 includes 9 clinics (with 30 PCPs and 9,000 patients) that will receive prioritized clinical decision support (PCS) to reduce CVR at the time of each clinical encounter made by an eligible adult. Group 2 includes 9 clinics (with 30 PCPs and 9,000 patients) that receive no study intervention and constitute a usual care control group. The study will formally test the hypothesis that after control for baseline CVR, post- intervention 10-year Framingham CVR will be better in Group 1 than Group 2 at 12 and 24 months after start of the intervention. In addition, impact of the intervention on specific components of CVR (BP, lipids, glucose, aspirin use, and smoking) will be assessed, and the cost-effectiveness of the intervention will be quantified. This innovative project builds upon 10 years of prior work by our research team, and extends prior successful EHR clinical decision support interventions by introducing prioritization, by providing decision support to both patients and PCPs at the time of the office visit, and by extending the decision support across the broad and critically important clinical terrain of CVR reduction. The results of this project, whether positive or negative, will extend our understanding of how to maximize the clinical return on massive public and private sector investments now being made in sophisticated outpatient EHR systems. If successful, this decision support tool could be broadly used to both standardize and personalize care delivered by case managers, pharmacists, and other providers in a wide range of care delivery configurations.

描述（由申请人提供）：该项目的目标是开发和实施复杂的基于电子病历的临床决策支持，(a)识别和(b)优先考虑所有可用的循证治疗方案，以降低给定患者的心血管风险（CVR）。在开发基于ehr的决策支持干预后，我们将在一项随机分组试验中测试其对CVR的影响，CVR的组成部分包括18个初级保健诊所，60名初级保健医生和18,000名中度或高度CVR的成年人。这种方法如果成功，将(a)改善慢性疾病的治疗结果，并降低约35%的美国成年人的CVR， (b)最大限度地提高对复杂门诊电子病历系统的大量投资的临床回报，以及(c)为如何使用电子病历技术支持在初级保健环境中提供“个性化医疗”提供一个模型。