Evidence map›Paper›PMID 37142092›Full record

Trial reportChest2023

Implementation of Lung Cancer Screening in Primary Care and Pulmonary Clinics: Pragmatic Clinical Trial of Electronic Health Record-Integrated Everyday Shared Decision-Making Tool and Clinician-Facing Prompts.

Polina V Kukhareva, Haojia Li, Tanner J Caverly, Guilherme Del Fiol, Angela Fagerlin, Jorie M Butler, Rachel Hess, Yue Zhang, Teresa Taft, Michael C Flynn and 6 more

2 registry-linked trialsAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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.

NCT04498052 nacompletednot on this map

Evaluation of a Scalable Decision Support and Shared Decision Making Tool for Lung Cancer Screening

TypeinterventionalSponsorUniversity of UtahRan2020 to 2024Enrolled1,855ConditionsEarly Detection of Cancer, Lung NeoplasmsArmsEHR-integrated Shared Decision Making Tool and Clinical Decision Support for Lung Cancer Screening
NCT06338592 nacompletednot on this mapstarted 2024, after this paper: background citation

The MyLungHealth Study Protocol: A Pragmatic Patient-Randomized Controlled Trial to Evaluate a Patient-Centered, Electronic Health Record-Integrated Intervention to Enhance Lung Cancer Screening in Primary Care

TypeinterventionalSponsorUniversity of UtahRan2024 to 2026Enrolled31,303ConditionsLung Cancer, Lung Neoplasms/DiagnosisArmsMyLungHealth, DecisionPrecision+
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions to increase participation in lung cancer screening programmes: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2026
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  18. Patient Perspectives on a Patient-Facing Tool for Lung Cancer Screening.Health expectations : an international journal of public participation in health care and health policy · 2024
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  20. University of Pennsylvania Telehealth Research Center of Excellence.Journal of the National Cancer Institute. Monographs · 2024
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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

16 authors.

Polina V KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Haojia LiStudy Design and Biostatistics Center, University of Utah, Salt Lake City, UT.
Tanner J CaverlyCenter for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI; Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT; Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, UT.
Jorie M ButlerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT; Department of Internal Medicine, University of Utah, Salt Lake City, UT; Geriatrics Research and Education Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT.
Rachel HessDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT; Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Yue ZhangStudy Design and Biostatistics Center, University of Utah, Salt Lake City, UT.
Teresa TaftDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Michael C FlynnDepartment of Internal Medicine, University of Utah, Salt Lake City, UT; Department of Pediatrics, University of Utah, Salt Lake City, UT; Community Physicians Group, University of Utah Health, Salt Lake City, UT.
Chakravarthy ReddyDepartment of Internal Medicine, University of Utah, Salt Lake City, UT.
Douglas K MartinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Isaac A WarnerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Salvador Rodriguez-LoyaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Phillip B WarnerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT. Electronic address: kensaku.kawamoto@utah.edu.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Engaging patients to enable interoperable lung cancer decision support at scaleR18HS028791 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2022 to 2024
$3.0M
Scalable decision support and shared decision making for lung cancer screeningR18HS026198 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2019 to 2021
$1.2M
AHRQ HHS R18 HS026198AHRQ HHS R18 HS028791NCATS NIH HHS UL1 TR002538NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

backgroundAlthough low-dose CT (LDCT) scan imaging lung cancer screening (LCS) can reduce lung cancer mortality, it remains underused. Shared decision-making (SDM) is recommended to assess the balance of benefits and harms for each patient. RESEARCH QUESTION: Do clinician-facing electronic health record (EHR) prompts and an EHR-integrated everyday SDM tool designed to support routine incorporation of SDM into primary care improve LDCT scan imaging ordering and completion? STUDY DESIGN AND

methodsA preintervention and postintervention analysis was conducted in 30 primary care and four pulmonary clinics for visits with patients who met United States Preventive Services Task Force criteria for LCS. Propensity scores were used to adjust for covariates. Subgroup analyses were conducted based on the expected benefit from screening (high benefit vs intermediate benefit), pulmonologist involvement (ie, whether the patient was seen in a pulmonary clinic in addition to a primary care clinic), sex, and race and ethnicity.

resultsIn the 12-month preintervention phase among 1,090 eligible patients, 77 patients (7.1%) had LDCT scan imaging orders and 48 patients (4.4%) completed screenings. In the 9-month intervention phase among 1,026 eligible patients, 280 patients (27.3%) had LDCT scan imaging orders and 182 patients (17.7%) completed screenings. Adjusted ORs were 4.9 (95% CI, 3.4-6.9; P < .001) and 4.7 (95% CI, 3.1-7.1; P < .001) for LDCT imaging ordering and completion, respectively. Subgroup analyses showed increases in ordering and completion for all patient subgroups. In the intervention phase, the SDM tool was used by 23 of 102 ordering providers (22.5%) and for 69 of 274 patients (25.2%) for whom LDCT scan imaging was ordered and who needed SDM at the time of ordering.

interpretationClinician-facing EHR prompts and an EHR-integrated everyday SDM tool are promising approaches to improving LCS in the primary care setting. However, room for improvement remains. As such, further research is warranted. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT04498052; URL: www. CLINICALTRIALS: gov.

Indexed as

Lung NeoplasmsDecision MakingEarly Detection of CancerElectronic Health RecordsHumansPrimary Health CareUnited Stateselectronic health recordsinteroperabilitylung cancer screeningshared decision-makingSubstitutable Medical Applications Reusable Technologies on Fast Healthcare Interoperability Resources

Identifiers

PMID37142092
PMCPMC10792294

What OpenQuestion holds

Textmetadata
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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.