Evidence map›Paper›PMID 40784064›Full record

ArticlePatient education and counseling2025

Navigating shared decision-making in lung cancer screening: Insights into barriers, training, and referral propensity among clinicians.

Lisa Carter-Bawa, Jennifer Elston Lafata, James E Slaven, Patrick O Monahan, Ana Guadalupe Vielma, Karen J Wernli, Susan Brandzel, Hongyuan Gao, Susan M Rawl

Abstract read
In one paragraph

Article in Patient education and counseling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lisa Carter-BawaCenter for Discovery & Innovation at Hackensack Meridian Health, Nutley, NJ, USA; Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA. Electronic address: lisa.carterbawa@hmh-cdi.org.
Jennifer Elston LafataUNC Eshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NC, USA.
James E SlavenIndiana University School of Medicine, Department of Biostatistics and Health Data Science, Indianapolis, IN, USA.
Patrick O MonahanIndiana University School of Medicine, Department of Biostatistics and Health Data Science, Indianapolis, IN, USA.
Ana Guadalupe VielmaCenter for Discovery & Innovation at Hackensack Meridian Health, Nutley, NJ, USA.
Karen J WernliKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Susan BrandzelKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Hongyuan GaoKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Susan M RawlIndiana University School of Nursing, Indianapolis, IN, USA; Indiana University Melvin & Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA.

Funding

Using a Mixed Methods Approach to Understand Shared Decision-Making in Lung Cancer ScreeningR01CA222090 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CARTER-BAWA, LISA · 2018 to 2022
$2.2M
NCI NIH HHS R01 CA222090
6 · The paper itself

Abstract

objectivesShared decision-making (SDM) is critical in lung cancer screening (LCS), enabling clinicians to guide patients through complex benefit-risk discussions. Despite its endorsement by professional organizations and its Medicare reimbursement requirement, SDM implementation in clinical practice remains inconsistent. This cross-sectional study evaluated factors influencing clinician knowledge, attitudes, and referral behaviors regarding LCS within a decentralized screening program.

methodsWe surveyed 125 primary care clinicians (PCCs) in a large integrated health system, linking responses to electronic health record data to assess LCS referral propensity. Clinicians reported perceived barriers to SDM, attitudes toward SDM and LCS, and knowledge via clinical vignettes. Multivariable analyses identified key predictors of attitudes and behaviors.

resultsFindings revealed that perceived barriers to SDM, particularly time burden, significantly influenced attitudes toward LCS (β = -0.334, p < 0.001) and referral propensity (β = -0.305, p = 0.0005). Formal training in SDM for LCS was positively associated with favorable SDM attitudes (β = 0.035, p = 0.0248), emphasizing the potential of targeted interventions. Time burden emerged as a critical determinant of perceived barriers (β = 0.728, p < 0.001), highlighting the need for systemic and educational solutions.

conclusionsThese results underscore the importance of reducing SDM-related time burdens and enhancing training to improve clinician engagement and screening outcomes. Innovative strategies, such as patient-tailored pre-visit education and team-based care models, could mitigate barriers and promote more effective SDM implementation. Future research should explore longitudinal and multi-system analyses to refine interventions and optimize LCS processes. PRACTICE IMPLICATIONS: By addressing systemic and individual barriers, health systems can enhance SDM efficacy, increasing LCS uptake and improving care for screening-eligible populations. This study offers actionable insights for advancing patient-centered approaches in LCS and broader preventive health initiatives.

Indexed as

Attitude of Health PersonnelDecision Making, SharedEarly Detection of CancerLung NeoplasmsReferral and ConsultationAdultAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMass ScreeningMiddle AgedPatient ParticipationPrimary Health CareDecision qualityLung cancer screeningShared decision-making

Identifiers

PMID40784064
PMCPMC12824888

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.