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肺癌筛查低剂量计算机断层扫描的新推荐与覆盖情况:接受度有所提高但仍较低。

New recommendation and coverage of low-dose computed tomography for lung cancer screening: uptake has increased but is still low.

作者信息

Li Jiang, Chung Sukyung, Wei Esther K, Luft Harold S

机构信息

Palo Alto Medical Foundation Research Institute, 795 El Camino Real, Ames Building, Palo Alto, CA, 94301, USA.

California Pacific Medical Center Research Institute, Sutter Health Affiliate, 475 Brannan St #220, San Francisco, CA, 94107, USA.

出版信息

BMC Health Serv Res. 2018 Jul 5;18(1):525. doi: 10.1186/s12913-018-3338-9.

DOI:10.1186/s12913-018-3338-9
PMID:29976189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6034213/
Abstract

BACKGROUND

In 2013, the US Preventive Services Task Force (USPSTF) issued recommendations for low-dose computed tomography for lung cancer screening (LDCT-LCS), but there continues to be a dearth of information on the adoption of LDCT-LCS in healthcare systems. Using a multilevel perspective, our study aims to assess referrals for LDCT-LCS and identify facilitators and barriers to adoption following recent policy changes.

METHODS

A retrospective analysis of electronic medical record data from patients aged 55-80 years with no history of lung cancer who visited a primary care provider in a large healthcare system in California during 2010-2016 (1,572,538 patient years). Trends in documentation of smoking history, number of eligible patients, and lung cancer screening orders were assessed. Using Hierarchical Generalized Linear Models, we also evaluated provider-level and patient-level factors associated with lung cancer screening orders among 970 primary care providers and 12,801 eligible patients according to USPSTF guidelines between January 1st, 2014 and December 31st, 2016.

RESULTS

Documentation of smoking history to determine eligibility (59.2% in 2010 to 77.8% in 2016) and LDCT-LCS orders (0% in 2010 to 7.3% in 2016) have increased since USPSTF guidelines. Patient factors associated with increased likelihood of lung cancer screening orders include: younger patient age (78-80 vs. 55-64 years old: OR, 0.4; 95% CI, 0.3-0.7), Asian race (vs. Non-Hispanic White: OR, 1.6; 95% CI, 1.1-2.4), reported current smoking (vs. former smoker: OR, 1.7; 95% CI, 1.4-2.0), no severe comorbidity (severe vs. no major comorbidity: OR = 0.2, 95% CI = 0.1-0.3; moderate vs. no major comorbidity: OR = 0.5; 95% CI = 0.4-0.7), and making a visit to own primary care provider (vs. other primary care providers: OR, 2.4; 95% CI, 1.7-3.4). Appropriate referral for lung cancer screening varies considerably across primary care providers. Provider factors include being a female physician (vs. male: OR, 1.6; 95% CI, 1.1-2.3) and receiving medical training in the US (foreign vs. US medical school graduates: OR = 0.4, 95% CI = 0.3-0.7).

CONCLUSIONS

Future interventions to improve lung cancer screening may be more effective if they focus on accurate documentation of smoking history and target former smokers who do not regularly see their own primary care providers.

摘要

背景

2013年,美国预防服务工作组(USPSTF)发布了关于低剂量计算机断层扫描肺癌筛查(LDCT-LCS)的建议,但医疗系统中关于采用LDCT-LCS的信息仍然匮乏。本研究采用多层次视角,旨在评估LDCT-LCS的转诊情况,并确定近期政策变化后采用该方法的促进因素和障碍。

方法

对2010 - 2016年期间(1,572,538患者年)在加利福尼亚州一个大型医疗系统中就诊的55 - 80岁无肺癌病史的患者的电子病历数据进行回顾性分析。评估吸烟史记录、符合条件患者数量和肺癌筛查医嘱的趋势。使用分层广义线性模型,我们还根据USPSTF指南,评估了2014年1月1日至2016年12月31日期间970名初级保健提供者和12,801名符合条件患者中与肺癌筛查医嘱相关的提供者层面和患者层面因素。

结果

自USPSTF指南发布以来,用于确定资格的吸烟史记录(从2010年的59.2%增至2016年的77.8%)和LDCT-LCS医嘱(从2010年的0%增至2016年的7.3%)有所增加。与肺癌筛查医嘱可能性增加相关的患者因素包括:患者年龄较小(78 - 80岁与55 - 64岁相比:比值比[OR],0.4;95%置信区间[CI],0.3 - 0.7)、亚裔种族(与非西班牙裔白人相比:OR,1.6;95% CI,1.1 - 2.4)、报告当前吸烟(与既往吸烟者相比:OR,1.7;95% CI,1.4 - 2.0)、无严重合并症(严重与无重大合并症相比:OR = 0.2,95% CI = 0.1 - 0.3;中度与无重大合并症相比:OR = 0.5;95% CI = 0.4 - 0.7)以及就诊于自己的初级保健提供者(与其他初级保健提供者相比:OR,2.4;95% CI,1.7 - 3.4)。肺癌筛查的适当转诊在初级保健提供者之间差异很大。提供者因素包括为女性医生(与男性相比:OR,1.6;95% CI,1.1 - 2.3)以及在美国接受医学培训(外国医学院毕业生与美国医学院毕业生相比:OR = 0.4,95% CI = 0.3 - 0.7)。

结论

未来旨在改善肺癌筛查的干预措施如果侧重于准确记录吸烟史并针对不定期就诊于自己初级保健提供者的既往吸烟者,可能会更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/b969f7e2f21d/12913_2018_3338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/eed6ca40f617/12913_2018_3338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/9ca0adb3c877/12913_2018_3338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/b969f7e2f21d/12913_2018_3338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/eed6ca40f617/12913_2018_3338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/9ca0adb3c877/12913_2018_3338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/677d/6034213/b969f7e2f21d/12913_2018_3338_Fig3_HTML.jpg

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