Society of Behavioral Medicine supports implementation of high quality lung cancer screening in high-risk populations

Transl Behav Med. 2016 Dec;6(4):669-671. doi: 10.1007/s13142-016-0440-6.

Abstract

The Society of Behavioral Medicine (SBM) supports the United States Preventive Services Task Force (USPSTF) recommendation of low-dose computed tomography (LDCT) screening of the chest for eligible populations to reduce lung cancer mortality. Consistent with efforts to translate research findings into real-world settings, SBM encourages health-care providers and health-care systems to (1) integrate evidence-based tobacco treatment as an essential component of LDCT-based lung cancer screening, (2) examine the structural barriers that may impact screening uptake, and (3) incorporate shared decision-making as a clinical platform to facilitate consultations and engagement with individuals at high risk for lung cancer about the potential benefits and harms associated with participation in a lung cancer screening program. We advise policy makers and legislators to support screening in high-risk populations by continuing to (1) expand access to high quality LDCT-based screening among underserved high-risk populations, (2) enhance cost-effectiveness by integrating evidence-based tobacco treatments into screening in high-risk populations, and (3) increase funding for research that explores implementation science and increased public awareness and access of diverse populations to participate in clinical and translational research.

Keywords: Lung cancer; Policy; Screening; Shared decision-making.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Aged, 80 and over
  • Awareness
  • Behavioral Medicine*
  • Cost-Benefit Analysis
  • Decision Making
  • Female
  • Health Personnel
  • Humans
  • Lung Neoplasms / diagnostic imaging*
  • Male
  • Mass Screening / economics*
  • Middle Aged
  • Smoking Cessation / methods
  • Societies
  • Tomography, X-Ray Computed / methods*
  • United States