Jarvik Jeffrey G, Comstock Bryan A, James Kathryn T, Avins Andrew L, Bresnahan Brian W, Deyo Richard A, Luetmer Patrick H, Friedly Janna L, Meier Eric N, Cherkin Daniel C, Gold Laura S, Rundell Sean D, Halabi Safwan S, Kallmes David F, Tan Katherine W, Turner Judith A, Kessler Larry G, Lavallee Danielle C, Stephens Kari A, Heagerty Patrick J
Department of Radiology, University of Washington, USA; Department of Neurological Surgery, University of Washington, USA; Department of Health Services, University of Washington, USA; Comparative Effectiveness, Cost and Outcomes Research Center, University of Washington, USA.
Department of Biostatistics, University of Washington, USA; Center for Biomedical Statistics, University of Washington, USA.
Contemp Clin Trials. 2015 Nov;45(Pt B):157-163. doi: 10.1016/j.cct.2015.10.003. Epub 2015 Oct 19.
Diagnostic imaging is often the first step in evaluating patients with back pain and likely functions as a "gateway" to a subsequent cascade of interventions. However, lumbar spine imaging frequently reveals incidental findings among normal, pain-free individuals suggesting that treatment of these "abnormalities" may not be warranted. Our prior work suggested that inserting the prevalence of imaging findings in patients without back pain into spine imaging reports may reduce subsequent interventions. We are now conducting a pragmatic cluster randomized clinical trial to test the hypothesis that inserting this prevalence data into lumbar spine imaging reports for studies ordered by primary care providers will reduce subsequent spine-related interventions.
METHODS/DESIGN: We are using a stepped wedge design that sequentially randomizes 100 primary care clinics at four health systems to receive either standard lumbar spine imaging reports, or reports containing prevalence data for common imaging findings in patients without back pain. We capture all outcomes passively through the electronic medical record. Our primary outcome is spine-related intervention intensity based on Relative Value Units (RVUs) during the following year. Secondary outcomes include subsequent prescriptions for opioid analgesics and cross-sectional lumbar spine re-imaging.
If our study shows that adding prevalence data to spine imaging reports decreases subsequent back-related RVUs, this intervention could be easily generalized and applied to other kinds of testing, as well as other conditions where incidental findings may be common. Our study also serves as a model for cluster randomized trials that are minimal risk and highly pragmatic.
诊断成像通常是评估背痛患者的第一步,并且可能充当后续一系列干预措施的“门户”。然而,腰椎成像经常在正常、无疼痛的个体中发现偶然发现,这表明对这些“异常”进行治疗可能没有必要。我们之前的研究表明,将无背痛患者的成像发现患病率纳入脊柱成像报告中可能会减少后续干预措施。我们现在正在进行一项实用的整群随机临床试验,以检验以下假设:将该患病率数据纳入初级保健提供者所开研究的腰椎成像报告中,将减少后续与脊柱相关的干预措施。
方法/设计:我们采用阶梯楔形设计,依次将四个卫生系统的100家初级保健诊所随机分组,使其接收标准腰椎成像报告,或包含无背痛患者常见成像发现患病率数据的报告。我们通过电子病历被动获取所有结果。我们的主要结果是基于次年相对价值单位(RVU)的与脊柱相关的干预强度。次要结果包括阿片类镇痛药的后续处方和腰椎横断面再次成像。
如果我们的研究表明,在脊柱成像报告中添加患病率数据可降低后续与背部相关的RVU,那么这种干预措施可以很容易地推广并应用于其他类型的检查,以及偶然发现可能常见的其他病症。我们的研究还为风险最小且高度实用的整群随机试验提供了一个模型。