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通过实施同行比较仪表板来减少初级保健中的影像学利用。

Reducing Imaging Utilization in Primary Care Through Implementation of a Peer Comparison Dashboard.

机构信息

Duke University, Durham, NC, USA.

Duke Primary Care, Durham, NC, USA.

出版信息

J Gen Intern Med. 2021 Jan;36(1):108-113. doi: 10.1007/s11606-020-06164-8. Epub 2020 Sep 3.

Abstract

BACKGROUND

High clinical variation has been linked to decreased quality of care, increased costs, and decreased patient satisfaction. We present the implementation and analysis of a peer comparison intervention to reduce clinical variation within a large primary care network.

OBJECTIVE

Evaluate existing variation in radiology ordering within a primary care network and determine whether peer comparison feedback reduces variation or changes practice patterns.

DESIGN

Radiology ordering data was analyzed to evaluate baseline variation in imaging rates. A utilization dashboard was shared monthly with providers for a year, and imaging rates pre- and post-intervention were retrospectively analyzed.

PARTICIPANTS

Providers within the primary care network spanning 1,358,644 outpatient encounters and 159 providers over a 3-year period.

INTERVENTIONS

The inclusion of radiology utilization data as part of a provider's monthly quality and productivity dashboards. This information allows providers to compare their practice patterns with those of their colleagues.

MAIN MEASURES

We measured provider imaging rates, stratified by modality, as well as order variation over time.

KEY RESULTS

We observed significant variation in imaging rates among providers in the network, with the top decile ordering an average of 4.2 times more than the lowest decile in the two years prior to intervention. Provider experience and training were not significantly associated with imaging utilization. In the first year after sharing utilization data with providers, we saw a 17.3% decrease in median imaging rate (p < 0.001) and a 21.4% reduction in provider variation between top and bottom deciles. Median ordering rate for more costly cross-sectional imaging, including CT, MRI, and nuclear medicine studies, decreased by 30.4% (p < 0.001), 20.2% (p = 0.008), and 41.8% (p = 0.002), respectively.

CONCLUSIONS

Peer comparison feedback can shape provider imaging behavior even in the absence of targets or financial incentives. Peer comparison is a low-touch, low-cost intervention for influencing provider ordering and may have applicability in other clinical areas.

摘要

背景

高临床变异与降低医疗质量、增加成本和降低患者满意度有关。我们介绍了一项在大型初级保健网络中减少临床变异的同行比较干预措施的实施和分析。

目的

评估初级保健网络内放射学订单的现有变异,并确定同行比较反馈是否减少了变异或改变了实践模式。

设计

对放射学订单数据进行分析,以评估成像率的基线变异。在一年中每月与提供者共享使用情况仪表板,并回顾性分析干预前后的成像率。

参与者

跨越 3 年的 1,358,644 次门诊就诊和 159 名提供者的初级保健网络内的提供者。

干预措施

将放射学利用数据纳入提供者每月质量和生产力仪表板的一部分。此信息使提供者能够将其实践模式与同事进行比较。

主要措施

我们按方式衡量提供者的成像率,以及随时间的订单变化。

主要结果

我们观察到网络中提供者的成像率存在显著差异,在干预前两年,最高十分位数的平均订单量是最低十分位数的 4.2 倍。提供者的经验和培训与成像利用率没有显著关联。在与提供者共享使用数据的第一年,我们看到中位数成像率下降了 17.3%(p<0.001),并且最高和最低十分位数之间的提供者变异减少了 21.4%。更昂贵的横断面成像(包括 CT、MRI 和核医学研究)的中位数订购率分别下降了 30.4%(p<0.001)、20.2%(p=0.008)和 41.8%(p=0.002)。

结论

即使没有目标或经济激励,同行比较反馈也可以影响提供者的成像行为。同行比较是一种低接触、低成本的干预措施,可用于影响提供者的订单,并且可能适用于其他临床领域。

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