CRC筛查实践的变化:该患者会被筛查吗?

Sarah B. Wackerbarth PhD , Yelena N. Tarasenko MPH, MPA , Jennifer M. Joyce MD , Steven A. Haist MD, MS, FACP
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引用次数: 0

摘要

目的:美国结直肠癌(CRC)的筛查率低于《健康人》2010年概述的50%的目标。医生推荐是患者依从性的重要预测指标。我们比较了医生CRC筛查的决策过程(如决策树所示),并检查了决策过程的变化如何影响决策结果。进一步,我们检查了这些变化是否可以归因于医生的特点和指南的使用。方法对初级保健医生进行半结构化访谈,制定决策树,比较树,使用树预测8例样本患者的推荐,并使用回归分析确定变异的预测因子。结果77.3%的医生自我报告遵循了CRC筛查的临床指南。医生在提出筛查建议时平均考虑了5.9个决策标准(范围2-12)。常被引用的标准包括患者年龄和家族史。我们记录了8例样本患者中3例的变异。回归分析表明,决策过程的复杂性、性别、年龄和医生的经验对筛查建议有影响。此外,自我报告对指南的依从性并不影响医生是否会推荐CRC筛查。结论:本研究支持实践中的变化是决策过程的函数这一观点。因此,研究决策过程可能有助于改善患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variations in CRC Screening Practice: Would This Patient Be Screened?

Purpose

Screening rates for colorectal cancer (CRC) in the United States were below the goal of 50% outlined in Healthy People 2010. Physician recommendation is an important predictor of patient compliance. We compared physician CRC screening decision processes (as depicted in decision trees) and examined how variations in decision processes affected decision outcomes. Further, we examined whether those variations could be attributed to physicians’ characteristics and guidelines’ utilization.

Methods

We conducted semi-structured interviews with primary care physicians, developed decision trees, compared trees, used trees to predict the recommendation for 8 sample patients, and used regression analysis to identify predictors of variation.

Results

Most of the physicians (77.3%) self-reported following clinical guidelines for CRC screening. Physicians considered an average of 5.9 decision criteria (range 2-12) in making their screening recommendations. Frequently cited criteria included patient age and family history. We documented variation for 3 of 8 sample patients. Regression analysis indicated that complexity of decision process, gender, age, and experience of physicians contributed to recommendations on screening. In addition, the self-report adherence to guidelines did not influence whether a physician would recommend CRC screening.

Conclusions

This study supports the notion that variation in practice is a function of decision processes. Therefore, studying decision processes may facilitate efforts to improve patient outcomes.

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