Evidence map›Paper›PMID 39806641›Full record

ArticleBMJ open2024

The MyLungHealth study protocol: a pragmatic patient-randomised controlled trial to evaluate a patient-centred, electronic health record-integrated intervention to enhance lung cancer screening in primary care.

Polina Kukhareva, Christian Balbin, Elizabeth Stevens, Devin Mann, Victoria Tiase, Jorie Butler, Guilherme Del Fiol, Tanner Caverly, Kim Kaphingst, Chelsey R Schlechter and 12 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06338592 (The MyLungHealth Study Protocol), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06338592 nacompletednot on this map

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

22 authors.

Polina KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA polina.kukhareva@utah.edu.ORCID http://orcid.org/0000-0002-5576-1486
Christian BalbinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Elizabeth StevensDepartment of Population Health, NYU Grossman School of Medicine, New York City, New York, USA.
Devin MannDepartment of Population Health, NYU Grossman School of Medicine, New York City, New York, USA.
Victoria TiaseDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Jorie ButlerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID http://orcid.org/0000-0001-9954-6799
Tanner CaverlyDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.ORCID http://orcid.org/0000-0002-6560-0547
Kim KaphingstDepartment of Communication, University of Utah, Salt Lake City, Utah, USA.
Chelsey R SchlechterDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.ORCID http://orcid.org/0000-0002-8355-6316
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.ORCID http://orcid.org/0000-0002-9192-2777
Haojia LiStudy Design and Biostatistics Center, University of Utah, Salt Lake City, Utah, USA.
Yue ZhangStudy Design and Biostatistics Center, University of Utah, Salt Lake City, Utah, USA.
Rachel HessDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Michael FlynnCommunity Physicians Group, University of Utah Health, Salt Lake City, Utah, USA.
Chakravarthy ReddyDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Phillip WarnerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Joshua ChoiDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Douglas MartinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Claude NanjoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Quyen MetzgerDepartment of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California, USA.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.ORCID http://orcid.org/0000-0003-4282-9338

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
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
AHRQ HHS R18 HS028791NCATS NIH HHS UM1 TR004409NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

introductionEarly lung cancer screening (LCS) through low-dose CT (LDCT) is crucial but underused due to various barriers, including incomplete or inaccurate patient smoking data in the electronic health record and limited time for shared decision-making. The objective of this trial is to investigate a patient-centred intervention, MyLungHealth, delivered through the patient portal. The intervention is designed to improve LCS rates through increased identification of eligible patients and informed decision-making. METHODS AND ANALYSIS: MyLungHealth is a multisite pragmatic trial, involving University of Utah Health and New York University Langone Health primary care clinics. The MyLungHealth intervention was developed using a user-centred design process, informed by patient and provider focus groups and interviews. The intervention's effectiveness will be evaluated through a patient-randomised trial, comparing the combined use of MyLungHealth and DecisionPrecision+ (a provider-focused shared decision-making intervention) against DecisionPrecision+ alone. The first study hypothesis is that among patients aged 50-79 with uncertain LCS eligibility (eg, 10-19 pack-years or unknown pack-years or unknown quit date for individuals who used to smoke), MyLungHealth eligibility questionnaires will result in increased identification of LCS-eligible patients (n~26 729 patients). The second study hypothesis is that among patients aged 50-79 with documented LCS eligibility (20+ pack-years, quit within the last 15 years if individuals who used to smoke, and no recent screening or screening discussion), MyLungHealth education will result in increased LDCT ordering (n~4574 patients). Primary outcomes will be identification of LCS-eligible patients among individuals with uncertain LCS eligibility and LDCT ordering rates among individuals with documented LCS eligibility. ETHICS AND DISSEMINATION: The protocol was approved by the University of Utah Institutional Review Board (# 00153806). The patient data collected for this study will not be shared publicly due to the sensitive nature of the patient health information and the fact that we will not be obtaining written informed consent to allow public sharing of their data. Results will be disseminated through peer-reviewed publications. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov, NCT06338592.

Indexed as

Early Detection of CancerElectronic Health RecordsLung NeoplasmsAgedDecision Making, SharedFemaleHumansMaleMiddle AgedMulticenter Studies as TopicPatient-Centered CarePragmatic Clinical Trials as TopicPrimary Health CareTomography, X-Ray ComputedChest imagingMass ScreeningPrimary Health CareRandomized Controlled TrialRespiratory tract tumoursTobacco Use

Identifiers

PMID39806641
PMCPMC11667334

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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.