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评估一种风险分层策略以改善腰痛的初级保健:MATCH 整群随机试验方案

Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol.

作者信息

Cherkin Dan, Balderson Benjamin, Brewer Georgie, Cook Andrea, Estlin Katherine Talbert, Evers Sarah C, Foster Nadine E, Hill Jonathan C, Hawkes Rene, Hsu Clarissa, Jensen Mark, LaPorte Anne-Marie, Levine Martin D, Piekara Diane, Rock Pam, Sherman Karen, Sowden Gail, Wellman Rob, Yeoman John

机构信息

Group Health Research Institute, Seattle, USA.

Patient Partner, Seattle, USA.

出版信息

BMC Musculoskelet Disord. 2016 Aug 24;17(1):361. doi: 10.1186/s12891-016-1219-0.

Abstract

BACKGROUND

Despite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predictors of poor outcomes for back pain. A promising new approach that matches treatments to the physical and psychosocial obstacles to recovery, the STarT Back risk stratification approach, improved patients' physical function while reducing costs of care in the United Kingdom (UK). This trial evaluates implementation of this strategy in a United States (US) healthcare setting.

METHODS

Six large primary care clinics in an integrated healthcare system in Washington State were block-randomized, three to receive an intensive quality improvement intervention for back pain and three to serve as controls for secular trends. The intervention included 6 one-hour training sessions for physicians, 5 days of training for physical therapists, individualized and group coaching of clinicians, and integration of the STarT Back tool into the electronic health record. This prognostic tool uses 9 questions to categorize patients at low, medium or high risk of persistent disabling pain with recommendations about evidence-based treatment options appropriate for each subgroup. Patients at least 18 years of age, receiving primary care for non-specific low back pain, were invited to provide data 1-3 weeks after their primary care visit and follow-up data 2 months and 6 months (primary endpoint) later. The primary outcomes are back-related physical function and pain severity. Using an intention to treat approach, intervention effects on patient outcomes will be estimated by comparing mean changes at the 2 and 6 month follow-up between the pre- and post-implementation periods. The inclusion of control clinics permits adjustment for secular trends. Differences in change scores by intervention group and time period will be estimated using linear mixed models with random effects. Secondary outcomes include healthcare utilization and adherence to clinical guidelines.

DISCUSSION

This trial will provide the first randomized trial evidence of the clinical effectiveness of implementing risk stratification with matched treatment options for low back pain in a United States health care delivery system.

TRIAL REGISTRATION

NCT02286141. Registered November 5, 2014.

摘要

背景

尽管治疗背痛有多种选择,且投入到该问题的医疗资源不断增加,但背痛相关残疾的患病率和影响并未得到改善。现在人们认识到,心理社会因素以及身体因素都是背痛预后不良的重要预测因素。一种将治疗与身体和心理社会康复障碍相匹配的、有前景的新方法——STarT Back风险分层方法,在英国改善了患者的身体功能,同时降低了护理成本。本试验评估该策略在美国医疗环境中的实施情况。

方法

华盛顿州一个综合医疗系统中的六家大型初级保健诊所被整群随机分组,三家接受针对背痛的强化质量改进干预,三家作为长期趋势的对照。干预措施包括为医生提供6次一小时的培训课程、为物理治疗师提供5天的培训、对临床医生进行个体化和小组指导,以及将STarT Back工具整合到电子健康记录中。这种预后工具使用9个问题将患者分为持续性致残疼痛低、中或高风险类别,并针对每个亚组给出基于证据的治疗方案建议。邀请年龄至少18岁、因非特异性下背痛接受初级保健的患者在其初级保健就诊后1 - 3周提供数据,并在2个月和6个月(主要终点)后提供随访数据。主要结局是与背部相关的身体功能和疼痛严重程度。采用意向性分析方法,通过比较实施前后2个月和6个月随访时的平均变化,估计干预对患者结局的影响。纳入对照诊所可对长期趋势进行调整。将使用具有随机效应的线性混合模型估计干预组和时间段变化分数的差异。次要结局包括医疗保健利用率和对临床指南的依从性。

讨论

本试验将提供首个随机试验证据,证明在美国医疗服务体系中对下背痛实施风险分层并匹配治疗方案的临床有效性。

试验注册

NCT02286141。2014年11月5日注册

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e5/4995645/b744c6fc31f3/12891_2016_1219_Fig1_HTML.jpg

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