Poster Session A   |   11:45am Expo - Hall A & C   |   Poster ID #376

Effect of patient navigation on completion of lung cancer screening in vulnerable populations

Program:
Prevention
Category:
Primary Prevention
FDA Status:
Not Applicable
CPRIT Grant:
Cancer Site(s):
Lung and Bronchus, Tobacco-related
Authors:
Sheena Bhalla
The University of Texas Southwestern Medical Center
Vijaya Subbu Natchimuthu
Parkland Health
Jessica Lee
The University of Texas Southwestern Medical Center
Urooj Wahid
The University of Texas Southwestern Medical Center
Hong Zhu
University of Virginia School of Medicine
Noel O. Santini
Parkland Health
Travis Browning
The University of Texas Southwestern Medical Center
Heidi A. Hamann
University of Arizona, Tucson
David Johnson
The University of Texas Southwestern Medical Center
Hsienchang Chiu
The University of Texas Southwestern Medical Center
Simon J. Craddock Lee
University of Kansas School of Medicine
David Gerber
The University of Texas Southwestern Medical Center

Introduction

Although low-dose computed tomography (LDCT)-based lung cancer screening (LCS) can decrease lung cancer mortality in high-risk individuals, the process may be complex and pose challenges to patients, particularly those from minority or under- and uninsured populations. We conducted a randomized controlled trial of telephone-based navigation for LCS within an integrated, urban safety-net healthcare system (Parkland Health, Dallas, Texas).

Methods

Patients eligible for LCS based on United States Preventive Services Task Force 2013 Guidelines were randomized (1:1) to usual care with or without phone-based navigation. Following a structured protocol, navigators made systemic contact with patients to provide appointment reminders, share information and resources, assess barriers to LCS, and address smoking cessation. The primary endpoint was completion of the first three consecutive steps (e.g., 3 annual LDCTs or LDCT, other imaging, biopsy) in a patient’s LCS process. We also explored differences in completion of LCS steps in navigation and usual care groups according to patient characteristics using chi-square test.

Results

Patients (n=447) were randomized to navigation (n=225) or usual care (n=222) between February 2017 and February 2019. Mean patient age was 62 years, 46% were female, and 69% were racial-ethnic minorities. There was no difference in completion of the first three steps of the LCS algorithm between arms (12 vs. 9%; P=0.30). Completion of LCS steps was not impacted by navigation among different subgroups, including age (<65 vs. ≥65 years), gender (male vs. female), race/ethnicity (non-hispanic white vs. racial minorities), and comorbidity status (Charlson Comorbidity Index <5 vs. ≥5). For ordered LCS steps, completion rates were higher among navigated patients (86% vs. 79%; P=0.03). The primary reason for step non-completion was lack of order placement. In the navigation arm, 368 of expected 675 steps (55%) were ordered, and in the usual care arm, 344 of expected 666 steps (52%) were ordered.

Conclusion

In this study, lack of order placement was a key reason for incomplete LCS steps. When orders were placed, navigated patients had higher rates of completion. Clinical team education and enhanced EHR processes to simplify order placement, coupled with patient navigation, may improve LCS in safety-net healthcare systems.