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同行数据基准干预以减少阿片类药物过度处方:一项随机对照试验。

A Peer Data Benchmarking Intervention to Reduce Opioid Overprescribing: A Randomized Controlled Trial.

机构信息

Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

出版信息

Am Surg. 2023 Nov;89(11):4379-4387. doi: 10.1177/00031348221111519. Epub 2022 Jun 28.

Abstract

BACKGROUND

Driving physician behavior change has been an elusive goal for quality improvement efforts aimed at reducing low-value care. We proposed the use of "nudge" interventions at the surgeon level in order to reduce post-surgical opioid overprescribing in accordance with consensus guidelines.

METHODS

We used 2017 Medicare data to identify outlier surgeons. A peer data benchmarking report that showed each surgeon the average number of opioid tablets they prescribed for an open inguinal hernia repair procedure from January 1, 2017 to December 31, 2017. We conducted a 1:1 randomized controlled trial providing outlier surgeons a report of their opioid prescribing patterns for a standard operation compared to the national average and prescribing guidelines.

RESULTS

There were 489 surgeons randomized to the intervention, of which 180 (36.8%) had data in the post-intervention period. Data was available for 87 surgeons in the intervention group and 93 surgeons in the control group. 97.7% of surgeons in the intervention group reduced their opioid prescribing pattern compared to 95.7% in the control group. Surgeons who received the data benchmarking report intervention prescribed 14.3% less opioids than surgeons in the control group (10.54 (SD 5.34) vs. 12.30 (SD 6.02), = .04). The intervention was associated with a 1.83 lower mean number of opioid tablets prescribed per patient in the multivariable linear regression model after controlling for other factors (Intervention group vs. control group 95% CI [-3.61, -.04], = .04).

DISCUSSION

The implementation of a peer data benchmarking intervention can drive physician behavior change towards high-value care.

摘要

背景

提高医疗质量的努力旨在减少低价值的医疗服务,而改变医生的行为一直是一个难以实现的目标。我们提出在外科医生层面使用“推动”干预措施,以减少术后阿片类药物的过度处方,使其符合共识指南。

方法

我们使用 2017 年医疗保险数据确定了异常值外科医生。一份同行数据基准报告向每位外科医生展示了他们在 2017 年 1 月 1 日至 12 月 31 日期间为开放性腹股沟疝修复手术开具的阿片类药物片剂数量的平均值。我们进行了一项 1:1 的随机对照试验,为异常值外科医生提供了一份他们的标准手术阿片类药物处方模式报告,与全国平均水平和处方指南进行比较。

结果

共有 489 名外科医生被随机分配到干预组,其中 180 名(36.8%)在干预后有数据。干预组中有 87 名外科医生和对照组中有 93 名外科医生有数据。与对照组相比,干预组中 97.7%的外科医生减少了他们的阿片类药物处方模式。接受数据基准报告干预的外科医生开具的阿片类药物处方比对照组少 14.3%(10.54(SD 5.34)与 12.30(SD 6.02), =.04)。在控制其他因素后,多变量线性回归模型显示,干预与每位患者处方的阿片类药物平均片数减少 1.83 片相关(干预组与对照组 95%CI [-3.61,-.04], =.04)。

讨论

实施同行数据基准干预可以推动医生朝着高价值护理的方向改变行为。

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