Evidence map›Paper›PMID 42666880›Full record

ArticlePreventive oncology & epidemiology2026

Describing behavioral aspects of annual lung cancer screening participation: Application of the cognitive-social health information processing model.

Erin A Hirsch, Kaitlyn Hoover, Stephen P Malkoski, Betsy C Risendal, Jamie L Studts

Abstract read
In one paragraph

Article in Preventive oncology & epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Erin A HirschDepartment of Medicine, Division of Medical Oncology, University of Colorado School of Medicine, University of Colorado Anschutz Medical Center, Aurora, USA.ORCID 0000-0002-3289-5422
Kaitlyn HooverCancer Prevention and Control Program, University of Colorado Cancer Center, University of Colorado Anschutz Medical Center, Aurora, USA.
Stephen P MalkoskiDepartment of Medicine, University of Washington, WWAMI - Spokane, Spokane, USA.
Betsy C RisendalDepartment of Community and Behavioral Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.
Jamie L StudtsDepartment of Medicine, Division of Medical Oncology, University of Colorado School of Medicine, University of Colorado Anschutz Medical Center, Aurora, USA.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Optimizing adherence to lung cancer screening: Applying theory and implementation science to participant engagementF99CA264409 · NCI · UNIVERSITY OF COLORADO DENVER · PI HIRSCH, ERIN · 2021 to 2022
$71k
NCATS NIH HHS UL1 TR002535NCI NIH HHS F99 CA264409NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

Objective: Continued participation in yearly screening is necessary to maximize the effectiveness of lung cancer screening (LCS) with low-dose CT to detect early-stage disease. Determinants of LCS adherence are multi-faceted, rely heavily on factors related to health behavior, and need to be better understood. This exploratory study applied social-cognitive theory to characterize key demographic and clinical factors associated with LCS-specific health information processing related to annual adherence, with the goal of informing future hypothesis generation. Methods and Materials: This study employed a descriptive, cross-sectional survey of LCS-eligible individuals who had recently completed a low-dose CT and received results that recommended annual follow-up. Study participants completed a survey based on the Cognitive Social Health Information Processing model to describe health information processing and screening behaviors among individuals eligible for annual LCS. Results: The survey was completed by 143 LCS individuals with recommended annual follow-up, finding that this population has high self-efficacy about the LCS process, perceives the benefits as high, reports few barriers to continued annual screening, has low fatalism, but also reports suboptimal LCS-specific knowledge. Conclusion: These findings expand the limited literature addressing psychosocial and behavioral aspects of continued LCS participation and provide valuable information for future communication with LCS participants.

Indexed as

cognitive-social theoryhealth behaviorhealth information processingLung cancerlung cancer screening

Identifiers

PMID42666880
PMCPMC13524418

What OpenQuestion holds

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Registered trials

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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.