Patterns and Factors Associated With Adherence to Lung Cancer Screening in Diverse Practice Settings.
Patterns and Factors Associated With Adherence to Lung Cancer Screening in Diverse Practice Settings.
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DOI:
10.1001/jamanetworkopen.2021.8559
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发表时间:
2021-04-01
影响因子:
13.8
通讯作者:
Henderson LM
中科院分区:
文献类型:
--
作者:
Sakoda LC;Rivera MP;Zhang J;Perera P;Laurent CA;Durham D;Huamani Velasquez R;Lane L;Schwartz A;Quesenberry CP Jr;Minowada G;Henderson LM
What are the patterns and factors associated with adherence to annual screening for lung cancer across diverse practice settings? In this cohort study, adherence to annual screening was suboptimal overall but was higher among individuals who were screened through centralized vs decentralized programs. The other significant factor associated with adherence was age. This study suggests that centralized screening programs facilitate greater adherence to annual screening for lung cancer; further efforts to improve adherence need to be adopted to realize the mortality benefit associated with lung cancer screening. For lung cancer screening to confer mortality benefit, adherence to annual screening with low-dose computed tomography scans is essential. Although the National Lung Screening Trial had an adherence rate of 95%, current data are limited on screening adherence across diverse practice settings in the United States. To evaluate patterns and factors associated with adherence to annual screening for lung cancer after negative results of a baseline examination, particularly in centralized vs decentralized screening programs. This observational cohort study was conducted at 5 academic and community-based sites in North Carolina and California among 2283 individuals screened for lung cancer between July 1, 2014, and March 31, 2018, who met US Preventive Services Task Force eligibility criteria, had negative results of a baseline screening examination (American College of Radiology Lung Imaging Reporting and Data System category 1 or 2), and were eligible to return for a screening examination in 12 months. To identify factors associated with adherence, the association of adherence with selected baseline demographic and clinical characteristics, including type of screening program, was estimated using multivariable logistic regression. Screening program type was classified as centralized if individuals were referred through a lung cancer screening clinic or program and as decentralized if individuals had a direct clinician referral for the baseline low-dose computed tomography scan. Adherence to annual lung cancer screening, defined as a second low-dose computed tomography scan within 11 to 15 months after baseline screening. Among the 2283 eligible individuals (1294 men [56.7%]; mean [SD] age, 64.9 [5.8] years; 1160 [50.8%] aged ≥65 years) who had negative screening results at baseline, overall adherence was 40.2% (n = 917), with higher adherence among those who underwent screening through centralized (46.0% [478 of 1039]) vs decentralized (35.3% [439 of 1244]) programs. The independent factor most strongly associated with adherence was type of screening program, with a 2.8-fold increased likelihood of adherence associated with centralized screening (adjusted odds ratio [aOR], 2.78; 95% CI, 1.99-3.88). Another associated factor was age (65-69 vs 55-59 years: aOR, 1.38; 95% CI, 1.07-1.77; 70-74 vs 55-59 years: aOR, 1.47; 95% CI, 1.10-1.96). After negative results of a baseline examination, adherence to annual lung cancer screening was suboptimal, although adherence was higher among individuals who were screened through a centralized program. These results support the value of centralized screening programs and the need to further implement strategies that improve adherence to annual screening for lung cancer. This cohort study evaluates patterns and factors associated with adherence to annual screening for lung cancer after negative results of a baseline examination, particularly in centralized vs decentralized screening programs.
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DOI:
10.1164/rccm.202008-3053st
发表时间:
2020-10-01
影响因子:
24.7
作者:
Rivera MP;Katki HA;Tanner NT;Triplette M;Sakoda LC;Wiener RS;Cardarelli R;Carter-Harris L;Crothers K;Fathi JT;Ford ME;Smith R;Winn RA;Wisnivesky JP;Henderson LM;Aldrich MC
通讯作者:
Aldrich MC
影响因子:
33.9
作者:
Richards, Thomas B.;Soman, Ashwini;Richardson, Lisa C.
通讯作者:
Richardson, Lisa C.
影响因子:
39.2
作者:
Moyer, Virginia A.
通讯作者:
Moyer, Virginia A.
DOI:
10.1016/j.jacr.2019.08.010
发表时间:
2020-02
期刊:
Journal of the American College of Radiology : JACR
影响因子:
--
作者:
Spalluto LB;Lewis JA;LaBaze S;Sandler KL;Paulson AB;Callaway-Lane C;Grogan EL;Massion PP;Roumie CL
通讯作者:
Roumie CL
影响因子:
3.8
作者:
Lake, Michael;Shusted, Christine S.;Barta, Julie A.
通讯作者:
Barta, Julie A.