TY - JOUR
T1 - Tracking the Nonenrolled
T2 - Lung Cancer Screening Patterns Among Individuals not Accrued to a Clinical Trial
AU - Gerber, David E.
AU - Hamann, Heidi A.
AU - Chavez, Claudia
AU - Dorsey, Olivia
AU - Santini, Noel O.
AU - Browning, Travis
AU - Ochoa, Cristhiaan D.
AU - Adesina, Joyce
AU - Natchimuthu, Vijaya Subbu
AU - Steen, Eric
AU - Zhu, Hong
AU - Lee, Simon J.Craddock
N1 - Funding Information:
The present study was supported by the Cancer Prevention and Research Institute of Texas (grants RP160030 and PP190052 to H.A.H., S.J.C.L., C.D.O., and D.E.G.), a National Cancer Institute Midcareer Investigator Award in Patient-Oriented Research (grant K24CA201543-01 to D.E.G.), and a Mentored Research Scientist Development Award (grant K01CA234425 to C.D.O.). Additional support was received through the Harold C. Simmons Comprehensive Cancer Center (grant 5P30 CA142543 ) and UT Southwestern Center for Patient-Centered Outcomes Research (grant R24 HS022418 ). The authors thank Ms Dru Gray for assistance with manuscript preparation and Helen Mayo, MLS, for assistance with literature searches.
Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/7
Y1 - 2020/7
N2 - Introduction: For lung cancer screening, the available data are often derived from patients enrolled prospectively in clinical trials. We, therefore, investigated lung cancer screening patterns among individuals eligible for, but not enrolled in, a screening trial. Patients and Methods: From February 2017 through February 2019, we enrolled subjects in a trial examining telephone-based navigation during low-dose computed tomography (LDCT) for lung cancer screening. We identified patients for whom LDCT was ordered and who were approached, but not enrolled, in the trial. We categorized nonenrollment as the patient had declined or could not be reached. We compared the characteristics and LDCT completion rates among these groups and the enrolled population using the 2-sample t test and χ2 test. Results: Of 900 individuals approached for participation (mean age, 62 years; 45% women, 53% black), 447 were enrolled in the screening clinical trial. No significant demographic differences were found between the enrolled and nonenrolled cohorts. Of the 453 individuals not enrolled, 251 (55%) had declined participation and 202 (45%) could not be reached, despite up to 6 attempts. LDCT completion was significantly associated with enrollment status: 81% of enrolled individuals, 73% of individuals who declined participation, and 49% of those who could not be reached (P < .001). Conclusions: In the present single-center study, demographic factors did not predict for participation in a lung cancer screening trial. Lung cancer screening adherence rates were substantially lower for those not enrolled in a screening trial, especially for those who could not be contacted. These findings may inform the broader implementation of screening programs.
AB - Introduction: For lung cancer screening, the available data are often derived from patients enrolled prospectively in clinical trials. We, therefore, investigated lung cancer screening patterns among individuals eligible for, but not enrolled in, a screening trial. Patients and Methods: From February 2017 through February 2019, we enrolled subjects in a trial examining telephone-based navigation during low-dose computed tomography (LDCT) for lung cancer screening. We identified patients for whom LDCT was ordered and who were approached, but not enrolled, in the trial. We categorized nonenrollment as the patient had declined or could not be reached. We compared the characteristics and LDCT completion rates among these groups and the enrolled population using the 2-sample t test and χ2 test. Results: Of 900 individuals approached for participation (mean age, 62 years; 45% women, 53% black), 447 were enrolled in the screening clinical trial. No significant demographic differences were found between the enrolled and nonenrolled cohorts. Of the 453 individuals not enrolled, 251 (55%) had declined participation and 202 (45%) could not be reached, despite up to 6 attempts. LDCT completion was significantly associated with enrollment status: 81% of enrolled individuals, 73% of individuals who declined participation, and 49% of those who could not be reached (P < .001). Conclusions: In the present single-center study, demographic factors did not predict for participation in a lung cancer screening trial. Lung cancer screening adherence rates were substantially lower for those not enrolled in a screening trial, especially for those who could not be contacted. These findings may inform the broader implementation of screening programs.
KW - Adherence
KW - Communication
KW - Computed tomography
KW - Demographics
KW - Underserved
UR - http://www.scopus.com/inward/record.url?scp=85081660175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081660175&partnerID=8YFLogxK
U2 - 10.1016/j.cllc.2020.02.010
DO - 10.1016/j.cllc.2020.02.010
M3 - Article
C2 - 32184050
AN - SCOPUS:85081660175
SN - 1525-7304
VL - 21
SP - 326
EP - 332
JO - Clinical Lung Cancer
JF - Clinical Lung Cancer
IS - 4
ER -