ClinicalTrials.gg
RecruitingNCT06605534Updated Sep 8, 2026

Leveraging the Emergency Department (LEAD) Study

An interventional study of LungTalk and Non-tailored lung screening in Lung Cancer, sponsored by Hackensack Meridian Health. Recruiting at 10 sites in United States. Open to participants aged 50 Years to 80 Years. Per ClinicalTrials.gov, last updated 2026-09-08.

Sponsored by Hackensack Meridian Health · Not applicable, Interventional, and Screening

From the registry’s dates

  • Started Oct 2024; still recruiting 2 years later.
Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Randomized
Ages
50 Years to 80 Years
Sex
All
01

Study summary

This is a pilot Type 1 Hybrid Effectiveness-Implementation Trial. The study will first examine reach in a non-traditional setting (the Emergency Department - ED) that uses an Electronic Health Record (EHR)-embedded Social Determinants of Health (SDoH) screening tool to identify lung screening-eligible patients for a tailored intervention to increase lung screening uptake. Reach is defined as the absolute number, proportion, and representativeness of individuals targeted for lung screening knowledge, awareness, and uptake. Then, a pilot trial will be conducted to examine the preliminary effectiveness of a tailored lung screening intervention compared to enhanced usual care to influence individual-level potential drivers of lung screening (health literacy, mistrust, stigma, fatalism, knowledge, lung screening health beliefs) and the ability to increase lung screening uptake among screening-eligible patients. Quantitative (Randomized Controlled Trial and EHR data) methods will be used for data collection and analysis to address the study aims.

02

Conditions studied

  • Lung Cancer

Keywords

  • screening
  • lung cancer
  • Disparities
  • social determinants of health
  • emergency department
03

In context

Lung Neoplasms

5,422 studies on the registry are indexed under Lung Neoplasms; 1,346 are open to participants now.

This study's planned enrollment of 100 is above the median of 60 across 3,656 interventional studies indexed under Lung Neoplasms.

Browse Lung Neoplasms studies →

Lead sponsor

Hackensack Meridian Health is the lead sponsor of 113 studies on the registry; 28 are open to participants now.

Of its 17 completed or terminated interventional studies of FDA-regulated products, 12 (71%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
50 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Aged 50 years to 80 years
  • Currently smoke cigarettes or quit smoking cigarettes within the past 15 years
  • 20 pack-year smoking history
  • Has never had lung cancer screening
  • Able to provide
  • Able to speak and understand English

Exclusion criteria

Exclusion Criteria:

  • Diagnosed with lung cancer
  • Has a history of having a lung cancer screening scan
  • Unable to speak and understand English
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
100 participants (estimated)

Study arms

  • Experimental
    LungTalk Group

    LungTalk is a novel theoretically grounded health educational tool that will be delivered via iPad and is an interactive computer-based program that includes audio, video and animation segments with scripts presented from a master content library in consideration of different ways people like to learn. Informed by our prior research, LungTalk tailors its content based on smoking status and perceived barriers. In prior work, LungTalk more than doubled Lung Cancer Screening (LCS) knowledge and health beliefs (p \< 0.01), and was associated with a significant increase in deciding to screen for lung cancer compared to control group; OR 1.99; 95% CI, 1.03, 3.85, p = 0.03.

    Behavioral: LungTalk

  • Active comparator
    Non-tailored Lung Screening Pamphlet Group

    Non-tailored Lung Screening Pamphlet is a non-tailored educational brochure, What is Lung Cancer Screening from the GO2 Foundation that will be emailed to the patient. This widely used educational standard of care is a 2-page reader-friendly non-tailored electronic brochure about risk and screening for lung cancer used in clinical and community settings.

    Other: Non-tailored lung screening

Interventions

  • BehavioralLungTalk

    Tailored lung screening intervention

  • OtherNon-tailored lung screening

    Non-tailored lung screening. It involves the addition of education to Social Determinants of Health (SDOH) screening and referral with patient navigation. Patients will be identified, and screened for SDOH needs using the UniteUs SDOH screener that is embedded in the Electronic Health Record (EHR), and connected to geographically-tailored resources (as described above under Arm 1). Participants will then be sent a non-tailored lung screening educational brochure via email to review that details lung cancer risk, lung screening facts, benefits, and potential harms. Within 48 hours, the Community Outreach and Engagement (COE) Patient Navigator will contact the patient to answer questions and provide navigation services as described above in Arm 1.

06

What researchers measure

Primary outcomes

  1. Lung Cancer Screening Uptake

    Completion of a Screening Low-Dose Computed Tomography (LDCT) of the Chest confirmed via Electronic Health Records (EHR))

    Time frame: Assessed at 1 month and 6 months post intervention

  2. Stage of Adoption for Lung Cancer Screening

    Screening Intention will be assessed with the Stage of Adoption for Decision- Making About Lung Screening using an algorithm of questions used in our prior studies assessing the 7 stages (unaware, aware but unengaged, undecided, decided not to act, decided to act, action, and maintenance). This will allow investigators to assess intent.

    Time frame: Assessed at 1 week and then at 1 month and 6 months post intervention

Secondary outcomes

  1. Health Literacy Scale

    Change in Health Literacy Scale between baseline and 1 week and 1-month post-intervention. The Health Literacy Scale will be measured using the 3-item psychometrically validated Health Literacy Scale by Chew and colleagues. This scale has been supported as valid for detecting inadequate health literacy using Likert scale response options ranging from 0=strongly disagree to 4 =strongly agree with lower scores representative of higher levels of health literacy.

    Time frame: At one week and one month post intervention

  2. Medical Mistrust Scale

    Change in Medical Mistrust Scale between baseline and 1 week and 1-month post-intervention. Medical Mistrust will be measured using the psychometrically validated 5-item Medical Mistrust Scale. This measure assesses constructs related to mistrust of the medical system, including suspicion, discrimination, and lack of support. Likert scale response options range from 1 to 4 with 1=Stongly Disagree to Agree 5=Strongly. Responses are summed (range 5-25), with higher scores indicating more trust. \*Negatively worded item is reverse coded. Reliability and validity have been well established with Cronbach's alpha of 0.87-0.88.

    Time frame: At one week and one month post intervention

  3. Perceived Stigma Scale

    Change in Perceived Stigma Scale between baseline and 1 week and 1-month post-intervention. Perceived Stigma will be measured using the 5-item smoking-related stigma subscale of the Cataldo Lung Cancer Stigma Scale. The response scale is 1=strongly disagree to 4=strongly agree; range is 5 to 25 (higher stigma). Cronbach's alphas were 0.75 to 0.89 in prior studies.

    Time frame: At one week and one month post intervention

  4. Perceived Risk of Lung Cancer Scale

    Change in Perceived Risk of Lung Cancer Scale between baseline and 1 week and 1-month post-intervention. Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy. Content and construct validity have been established. Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Risk of Lung Cancer on a 3-item scale with Likert-type responses from 1=Strongly Disagree to 4=Strongly Agree. The range of scores is 3 to 12 (higher perceived risk of lung cancer). Cronbach's alpha was 0.88 in our preliminary study.

    Time frame: At one week and one month post intervention

  5. Perceived Benefits of Lung Cancer Screening Scale

    Change in Perceived Benefits of Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention. Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy. Content and construct validity have been established. Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Benefits of Lung Cancer Screening on a 6-item scale with responses ranging from 1=strongly disagree to 4=strongly agree. The range of scores is 6 to 24 (higher perceived benefits), with a Cronbach's alpha of 0.76 in our preliminary study

    Time frame: At one week and one month post intervention

  6. Perceived Barriers to Lung Cancer Screening Scale

    Change in Perceived Barriers of Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention. Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy. Content and construct validity have been established. Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Barriers to Lung Cancer Screening. This scale has 17 items with four-point Likert responses where 1=strongly disagree and 4=strongly agree. The range of scores is 17 to 68 (higher perceived barriers) with a Cronbach's a of 0.87 in our preliminary psychometric study

    Time frame: At one week and one month post intervention

  7. Self-Efficacy for Lung Cancer Screening Scale

    Change in Self-Efficacy for Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention. Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy. Content and construct validity have been established. Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Self-Efficacy for Lung Cancer Screening. This scale has nine items with a four-point Likert response option (1=Not at all Confident and 4 =Very Confident) to assess individual beliefs about ability to arrange and complete an LDCT to screen for lung cancer. The range of scores is 9 to 36 (higher levels of self-efficacy) with a Cronbach's alpha of 0.92 in our preliminary psychometric study.

    Time frame: At one week and one month post intervention

  8. Knowledge: Lung Cancer and Screening Scale

    Change in Knowledge: Lung Cancer and Lung Screening between baseline and 1 week and 1-month post-intervention. Knowledge of Lung Cancer and Lung Screening will be assessed with a 7-item multidimensional scale used in our preliminary studies adapted from literature specific to lung cancer. Several aspects will be assessed, including knowledge of lung cancer, risk, and screening. The range of scores is 0 to 7, with 0 being No Knowledge, and 9 being Complete Knowledge.

    Time frame: At one week and one month post intervention

  9. Lung Cancer Fatalism

    Change in Lung Cancer Fatalism between baseline and 1 week and 1-month post-intervention. Lung Cancer Fatalism will be measured with the 11-item dichotomous (0=yes and 1=no) Lung Cancer Fatalism Scale adapted from the Revised Powe Fatalism Inventory that has been psychometrically validated.

    Time frame: At one week and one month post intervention

07

Study locations

10 of 10 sites recruiting
  • Ocean Medical Center
    Brick, New Jersey 08724, United States
    Recruiting
  • John F. Kennedy Medical Center
    Edison, New Jersey 08820, United States
    Recruiting
  • Hackensack University Medical Center
    Hackensack, New Jersey 07601, United States
    Recruiting
  • Bayshore Medical Center
    Holmdel, New Jersey 07733, United States
    Recruiting
  • Southern Ocean Medical Center
    Manahawkin, New Jersey 08050, United States
    Recruiting
  • Jersey Shore University Medical Center
    Neptune City, New Jersey 07753, United States
    Recruiting
  • Palisades Medical Center
    North Bergen, New Jersey 07047, United States
    Recruiting
  • Old Bridge Medical Center
    Old Bridge, New Jersey 08857, United States
    Recruiting
  • Raritan Bay Medical Center
    Perth Amboy, New Jersey 08861, United States
    Recruiting
  • Riverview Medical Center
    Red Bank, New Jersey 07701, United States
    Recruiting
08

References and documents

Publications

  • Viale PH. The American Cancer Society's Facts & Figures: 2020 Edition. J Adv Pract Oncol. 2020 Mar;11(2):135-136. doi: 10.6004/jadpro.2020.11.2.1. Epub 2020 Mar 1. No abstract available. PubMed 33532112 ↗
  • Cancer Facts & Figures for African Americans 2019-2021. In: American Cancer Society. Atlanta: 2019.
  • United States Preventive Services Task Force. Final recommendation statement: Lung cancer screening.http://www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatem entFinal/lung-cancer-screening. Updated December 2016. Accessed January 21, 2023.
  • Rivera MP, Katki HA, Tanner NT, Triplette M, Sakoda LC, Wiener RS, Cardarelli R, Carter-Harris L, Crothers K, Fathi JT, Ford ME, Smith R, Winn RA, Wisnivesky JP, Henderson LM, Aldrich MC. Addressing Disparities in Lung Cancer Screening Eligibility and Healthcare Access. An Official American Thoracic Society Statement. Am J Respir Crit Care Med. 2020 Oct 1;202(7):e95-e112. doi: 10.1164/rccm.202008-3053ST. PubMed 33000953 ↗
  • Carter-Harris L, Tan AS, Salloum RG, Young-Wolff KC. Patient-provider discussions about lung cancer screening pre- and post-guidelines: Health Information National Trends Survey (HINTS). Patient Educ Couns. 2016 Nov;99(11):1772-1777. doi: 10.1016/j.pec.2016.05.014. Epub 2016 May 17. PubMed 27241830 ↗
  • American Lung Association: State of Lung Cancer. In. Chicago, IL: American Lung Association; 2019.
  • National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29. PubMed 21714641 ↗
  • United States Preventive Services Task Force. Final recommendation statement: Lung cancer screening (updated). https://www.uspreventiveservicestaskforce.org/uspstf/recommendation/lung-cancer-screening. Updated March 9, 2021. Accessed February 21, 2024.
  • Carter-Harris L, Ceppa DP, Hanna N, Rawl SM. Lung cancer screening: what do long-term smokers know and believe? Health Expect. 2017 Feb;20(1):59-68. doi: 10.1111/hex.12433. Epub 2015 Dec 23. PubMed 26701339 ↗
  • Carter-Harris L, Brandzel S, Wernli KJ, Roth JA, Buist DSM. A qualitative study exploring why individuals opt out of lung cancer screening. Fam Pract. 2017 Apr 1;34(2):239-244. doi: 10.1093/fampra/cmw146. PubMed 28122849 ↗
  • Carter-Harris L, Slaven JE Jr, Monahan PO, Shedd-Steele R, Hanna N, Rawl SM. Understanding lung cancer screening behavior: Racial, gender, and geographic differences among Indiana long-term smokers. Prev Med Rep. 2018 Feb 3;10:49-54. doi: 10.1016/j.pmedr.2018.01.018. eCollection 2018 Jun. PubMed 29552458 ↗
  • Carter-Harris L, Slaven JE 2nd, Monahan PO, Draucker CB, Vode E, Rawl SM. Understanding lung cancer screening behaviour using path analysis. J Med Screen. 2020 Jun;27(2):105-112. doi: 10.1177/0969141319876961. Epub 2019 Sep 24. PubMed 31550991 ↗
  • Draucker CB, Rawl SM, Vode E, Carter-Harris L. Understanding the decision to screen for lung cancer or not: A qualitative analysis. Health Expect. 2019 Dec;22(6):1314-1321. doi: 10.1111/hex.12975. Epub 2019 Sep 27. PubMed 31560837 ↗
  • De Marchis EH, Brown E, Aceves B, et al. State of the Science of Screening in Healthcare Settings. Social Interventions Research & Evaluation Network, 2022.
  • Albada A, Ausems MG, Bensing JM, van Dulmen S. Tailored information about cancer risk and screening: a systematic review. Patient Educ Couns. 2009 Nov;77(2):155-71. doi: 10.1016/j.pec.2009.03.005. Epub 2009 Apr 18. PubMed 19376676 ↗
  • Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010 Sep-Oct;51(3-4):214-21. doi: 10.1016/j.ypmed.2010.06.004. Epub 2010 Jun 15. PubMed 20558196 ↗
  • Kreuter M, Farrell D, Olevitch L, et al. Tailoring health messages: Customizing communication with computer technology. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers; 2000.
  • Rawl SM, Skinner CS, Perkins SM, Springston J, Wang HL, Russell KM, Tong Y, Gebregziabher N, Krier C, Smith-Howell E, Brady-Watts T, Myers LJ, Ballard D, Rhyant B, Willis DR, Imperiale TF, Champion VL. Computer-delivered tailored intervention improves colon cancer screening knowledge and health beliefs of African-Americans. Health Educ Res. 2012 Oct;27(5):868-85. doi: 10.1093/her/cys094. Epub 2012 Aug 27. PubMed 22926008 ↗
  • Ruffin MT 4th, Fetters MD, Jimbo M. Preference-based electronic decision aid to promote colorectal cancer screening: results of a randomized controlled trial. Prev Med. 2007 Oct;45(4):267-73. doi: 10.1016/j.ypmed.2007.07.003. Epub 2007 Jul 14. PubMed 17689600 ↗
  • Ahmad F, Cameron JI, Stewart DE. A tailored intervention to promote breast cancer screening among South Asian immigrant women. Soc Sci Med. 2005 Feb;60(3):575-86. doi: 10.1016/j.socscimed.2004.05.018. PubMed 15550305 ↗
  • Champion V, Foster JL, Menon U. Tailoring interventions for health behavior change in breast cancer screening. Cancer Pract. 1997 Sep-Oct;5(5):283-8. PubMed 9341350 ↗
  • Carter-Harris L, Comer RS, Slaven Ii JE, Monahan PO, Vode E, Hanna NH, Ceppa DP, Rawl SM. Computer-Tailored Decision Support Tool for Lung Cancer Screening: Community-Based Pilot Randomized Controlled Trial. J Med Internet Res. 2020 Nov 3;22(11):e17050. doi: 10.2196/17050. PubMed 33141096 ↗
  • Carter-Harris L, Comer RS, Goyal A, Vode EC, Hanna N, Ceppa D, Rawl SM. Development and Usability Testing of a Computer-Tailored Decision Support Tool for Lung Cancer Screening: Study Protocol. JMIR Res Protoc. 2017 Nov 16;6(11):e225. doi: 10.2196/resprot.8694. PubMed 29146565 ↗
  • Carter-Harris L, Davis LL, Rawl SM. Lung Cancer Screening Participation: Developing a Conceptual Model to Guide Research. Res Theory Nurs Pract. 2016 Nov 1;30(4):333-352. doi: 10.1891/1541-6577.30.4.333. PubMed 28304262 ↗
  • Lau YK, Caverly TJ, Cherng ST, Cao P, West M, Arenberg D, Meza R. Development and validation of a personalized, web-based decision aid for lung cancer screening using mixed methods: a study protocol. JMIR Res Protoc. 2014 Dec 19;3(4):e78. doi: 10.2196/resprot.4039. PubMed 25532218 ↗
  • Memorial Sloan Kettering Cancer Center, Lung cancer screening decision tool. http://nomograms.mskcc.org/Lung/Screening.aspx. Accessed June 20, 2024.
  • Chen Y, Marcus MW, Niaz A, et al My Lung Risk: a user-friendly, web-based calculator for risk assessment of lung cancer based on the validated Liverpool Lung Project risk prediction model. International Journal of Health Promotion and Education. 2014;52(3):144-152.
  • Volk RJ, Linder SK, Leal VB, Rabius V, Cinciripini PM, Kamath GR, Munden RF, Bevers TB. Feasibility of a patient decision aid about lung cancer screening with low-dose computed tomography. Prev Med. 2014 May;62:60-3. doi: 10.1016/j.ypmed.2014.02.006. Epub 2014 Feb 8. PubMed 24518006 ↗
  • Veterans Health Administration, Screening for lung cancer pamphlet. 2020. http://www.prevention.va.gov/docs/LungCancerScreeningHandout.pdf. Accessed June 20, 2024.
  • Dharod A, Bellinger C, Foley K, Case LD, Miller D. The Reach and Feasibility of an Interactive Lung Cancer Screening Decision Aid Delivered by Patient Portal. Appl Clin Inform. 2019 Jan;10(1):19-27. doi: 10.1055/s-0038-1676807. Epub 2019 Jan 9. PubMed 30625501 ↗
  • Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004 Sep;36(8):588-94. PubMed 15343421 ↗
  • Thompson HS, Valdimarsdottir HB, Winkel G, Jandorf L, Redd W. The Group-Based Medical Mistrust Scale: psychometric properties and association with breast cancer screening. Prev Med. 2004 Feb;38(2):209-18. doi: 10.1016/j.ypmed.2003.09.041. PubMed 14715214 ↗
  • Carter-Harris L, Hall LA. Development of a short version of the Cataldo Lung Cancer Stigma Scale. J Psychosoc Oncol. 2014;32(6):665-77. doi: 10.1080/07347332.2014.955238. PubMed 25157591 ↗
  • Mayo RM, Ureda JR, Parker VG. Importance of fatalism in understanding mammography screening in rural elderly women. J Women Aging. 2001;13(1):57-72. doi: 10.1300/J074v13n01_05. PubMed 11217186 ↗
  • Carter-Harris L, Slaven JE 2nd, Monohan P, Rawl SM. Development and Psychometric Evaluation of the Lung Cancer Screening Health Belief Scales. Cancer Nurs. 2017 May/Jun;40(3):237-244. doi: 10.1097/NCC.0000000000000386. PubMed 27244666 ↗
  • Williams DR, Yan Yu, Jackson JS, Anderson NB. Racial Differences in Physical and Mental Health: Socio-economic Status, Stress and Discrimination. J Health Psychol. 1997 Jul;2(3):335-51. doi: 10.1177/135910539700200305. PubMed 22013026 ↗
  • Weinstein D. The Precaution Adoption Process Model. In: Glanz K, Rimer BK, Viswanath K, eds. Health behavior and health education: Theory, research, and practice, 4th ed. 4th ed. San Francisco, CA, US: Jossey-Bass; 2008:xxxiii-552, pp. 123-147.

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 8, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06605534
Collaborators
New Jersey Commission on Cancer Research
Responsible party
Sponsor
First posted
Sep 20, 2024
Start date
Oct 29, 2024
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Sep 8, 2026

Study contacts

Ana Guadalupe Vielma, PhD
Contact
ana.vielma@hmh-cdi.org
2018803400
Francis Valenzona
Contact
francis.valenzona@hmh-cdi.org
2018803400
Lisa Carter-Bawa, PhD
principal investigator · Hackensack Meridian Health

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion