Evidence map›Paper›PMID 35972738›Full record

ArticleJAMA network open2022

Factors Associated With Declining Lung Cancer Screening After Discussion With a Physician in a Cohort of US Veterans.

Eduardo R Núñez, Tanner J Caverly, Sanqian Zhang, Mark E Glickman, Shirley X Qian, Jacqueline H Boudreau, Donald R Miller, Christopher G Slatore, Renda Soylemez Wiener

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04574518 (Teachable Moment to Opt-out of Tobacco), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
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.

NCT04574518 naactive not recruitingnot on this map

Teachable Moment to Opt-out of Tobacco (TeaM OUT): A Stepped Wedge Cluster Randomized Intervention

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2022 to 2026Enrolled223ConditionsSolitary Pulmonary Nodule, Multiple Pulmonary Nodules, Tobacco UseArmsTeaM OUT Intervention, Enhanced Usual Care
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  6. University of Pennsylvania Telehealth Research Center of Excellence.Journal of the National Cancer Institute. Monographs · 2024
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  8. Observational
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  13. Terminology Error.JAMA network open · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Eduardo R NúñezCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Tanner J CaverlyVA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Sanqian ZhangCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Mark E GlickmanCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Shirley X QianCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Jacqueline H BoudreauCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Donald R MillerCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
Christopher G SlatoreNational Center for Lung Cancer Screening, Veterans Health Administration, Washington, DC.
Renda Soylemez WienerCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts.
VA New England Healthcare System · USVA Boston Healthcare System · USBoston University · USUniversity of Michigan–Ann Arbor · USVA Portland Health Care System · US

Funding

BIOLOGY OF THE LUNG--MULTIDISCIPLINARY PROGRAMT32HL007035 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Darrell N. Kotton, JOSEPH P MIZGERD · 1985 to 2026
$24.3M
Determining organizational structures and processes that improve lung cancer screening adherence among underserved populationsF32CA265053 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NUNEZ, EDUARDO RAMON · 2021 to 2021
$73k
NCI NIH HHS F32 CA265053NHLBI NIH HHS T32 HL007035
6 · The paper itself

Abstract

Importance: Lung cancer screening (LCS) is underused in the US, particularly in underserved populations, and little is known about factors associated with declining LCS. Guidelines call for shared decision-making when LCS is offered to ensure informed, patient-centered decisions. Objective: To assess how frequently veterans decline LCS and examine factors associated with declining LCS. Design, Setting, and Participants: This retrospective cohort study included LCS-eligible US veterans who were offered LCS between January 1, 2013, and February 1, 2021, by a physician at 1 of 30 Veterans Health Administration (VHA) facilities that routinely used electronic health record clinical reminders documenting LCS eligibility and veterans' decisions to accept or decline LCS. Data were obtained from the Veterans Affairs (VA) Corporate Data Warehouse or Medicare claims files from the VA Information Resource Center. Main Outcomes and Measures: The main outcome was documentation, in clinical reminders, that veterans declined LCS after a discussion with a physician. Logistic regression analyses with physicians and facilities as random effects were used to assess factors associated with declining LCS compared with agreeing to LCS. Results: Of 43 257 LCS-eligible veterans who were offered LCS (mean [SD] age, 64.7 [5.8] years), 95.9% were male, 84.2% were White, and 37.1% lived in a rural zip code; 32.0% declined screening. Veterans were less likely to decline LCS if they were younger (age 55-59 years: odds ratio [OR], 0.69; 95% CI, 0.64-0.74; age 60-64 years: OR, 0.80; 95% CI, 0.75-0.85), were Black (OR, 0.80; 95% CI, 0.73-0.87), were Hispanic (OR, 0.62; 95% CI, 0.49-0.78), did not have to make co-payments (OR, 0.92; 95% CI, 0.85-0.99), or had more frequent VHA health care utilization (outpatient: OR, 0.70; 95% CI, 0.67-0.72; emergency department: OR, 0.86; 95% CI, 0.80-0.92). Veterans were more likely to decline LCS if they were older (age 70-74 years: OR, 1.27; 95% CI, 1.19-1.37; age 75-80 years: OR, 1.93; 95% CI, 1.73-2.17), lived farther from a VHA screening facility (OR, 1.06; 95% CI, 1.03-1.08), had spent more days in long-term care (OR, 1.13; 95% CI, 1.07-1.19), had a higher Elixhauser Comorbidity Index score (OR, 1.04; 95% CI, 1.03-1.05), or had specific cardiovascular or mental health conditions (congestive heart failure: OR, 1.25; 95% CI, 1.12-1.39; stroke: OR, 1.14; 95% CI, 1.01-1.28; schizophrenia: OR, 1.87; 95% CI, 1.60-2.19). The physician and facility offering LCS accounted for 19% and 36% of the variation in declining LCS, respectively. Conclusions and Relevance: In this cohort study, older veterans with serious comorbidities were more likely to decline LCS and Black and Hispanic veterans were more likely to accept it. Variation in LCS decisions was accounted for more by the facility and physician offering LCS than by patient factors. These findings suggest that shared decision-making conversations in which patients play a central role in guiding care may enhance patient-centered care and address disparities in LCS.

Indexed as

Lung NeoplasmsPhysiciansVeteransAgedAged, 80 and overCohort StudiesEarly Detection of CancerFemaleHumansMaleMedicareMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID35972738
PMCPMC9382440
OpenAlexW4292024400

What OpenQuestion holds

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Registered trials

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.