The INSPIRE-Lung Study
Leveraging Social Media to Increase Lung Cancer Screening Awareness, Knowledge and Uptake in High-Risk Populations
2 other identifiers
interventional
512
1 country
1
Brief Summary
LungTalk and leveraging Facebook-targeted Advertisement (FBTA) addresses the call to develop and test multi-level, cancer communication interventions using innovative methods and designs. The study's long term goal is to increase lung cancer screening uptake among appropriate, high-risk individuals nationwide.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable lung-cancer
Started Aug 2023
Shorter than P25 for not_applicable lung-cancer
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 10, 2023
CompletedFirst Posted
Study publicly available on registry
April 21, 2023
CompletedStudy Start
First participant enrolled
August 2, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 30, 2024
CompletedResults Posted
Study results publicly available
November 21, 2025
CompletedNovember 21, 2025
November 1, 2025
12 months
April 10, 2023
September 5, 2025
November 7, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (19)
Reaching Screening Eligible Individuals Via Social Media - Reach
Leveraging a well-established, social media-based platform (Facebook) to target screening-eligible individuals in the community. This will be measured by the total number of people who saw the FBTA at least once.
11-month period ad remained active on Facebook
Reaching Screening Eligible Individuals Via Social Media - Link Clicks
Leveraging a well-established, social media-based platform (Facebook) to target screening-eligible individuals in the community. This will be measured by the total number of clicks on the link within the FBTA that led to the REDCap survey platform of the study.
11-month period ad remained active on Facebook
Reaching Screening Eligible Individuals Via Social Media - Impressions
Leveraging a well-established, social media-based platform (Facebook) to target screening-eligible individuals in the community. This will be measured by the total number of times the FBTA was on screen (may include multiple views of the ad by the same person/people).
11-month period ad remained active on Facebook
Effectiveness of LungTalk - Knowledge Assessment
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve total knowledge about lung screening. The total Knowledge of Lung Cancer Screening will be assessed with a 9-item multidimensional scale ranging from 0 to 9 with 0 being "No Knowledge" and 9 being "Complete knowledge".
At baseline
Effectiveness of LungTalk - Knowledge Assessment
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve total knowledge about lung screening. The total Knowledge of Lung Cancer Screening will be assessed with a 9-item multidimensional scale ranging from 0 to 9 with 0 being "No Knowledge" and 9 being "Complete knowledge".
At one week from baseline survey completion
Effectiveness of LungTalk - Perceived Risk
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Risk. Perceived Risk of Lung Cancer is a 3-item scale with Likert-type responses. The range of scores is 3 to 12 (higher perceived risk of lung cancer).
At baseline
Effectiveness of LungTalk - Perceived Risk
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Risk. Perceived Risk of Lung Cancer is a 3-item scale with Likert-type responses. The range of scores is 3 to 12 (higher perceived risk of lung cancer).
At one week from baseline survey completion
Effectiveness of LungTalk - Perceived Benefits
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Benefits. Perceived Benefits of Lung Cancer Screening is 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).
At baseline
Effectiveness of LungTalk - Perceived Benefits
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Benefits. Perceived Benefits of Lung Cancer Screening is 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).
At one week from baseline survey completion
Effectiveness of LungTalk - Perceived Barriers
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Barriers. 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).
At baseline
Effectiveness of LungTalk - Perceived Barriers
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Perceived Barriers. 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).
At one week from baseline survey completion
Effectiveness of LungTalk - Self-Efficacy
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Self-Efficacy. Self-Efficacy for Lung Cancer Screening will be assessed using a scale with nine items with a four-point Likert response option to assess individual beliefs about ability to arrange and complete a low-dose computed tomography (LDCT) to screen for lung cancer. The range of scores is 9 to 36 (higher levels of self-efficacy).
At baseline
Effectiveness of LungTalk - Self-Efficacy
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Self-Efficacy. Self-Efficacy for Lung Cancer Screening will be assessed using a scale with nine items with a four-point Likert response option to assess individual beliefs about ability to arrange and complete a low-dose computed tomography (LDCT) to screen for lung cancer. The range of scores is 9 to 36 (higher levels of self-efficacy).
At one week from baseline survey completion
Effectiveness of LungTalk - Occurrence of a Patient-Clinician Discussion
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Occurrence of a Patient-Clinician Discussion. Occurrence of a Patient-Clinician Discussion about Lung Cancer Screening will be assessed with a single item requiring dichotomous (Y/N) response regarding a discussion with their healthcare provider.
At baseline
Effectiveness of LungTalk - Occurrence of a Patient-Clinician Discussion
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Occurrence of a Patient-Clinician Discussion. Occurrence of a Patient-Clinician Discussion about Lung Cancer Screening will be assessed with a single item requiring dichotomous (Y/N) response regarding a discussion with their healthcare provider.
At one week from baseline survey completion
Effectiveness of LungTalk - Occurrence of a Patient-Clinician Discussion
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Occurrence of a Patient-Clinician Discussion. Occurrence of a Patient-Clinician Discussion about Lung Cancer Screening will be assessed with a single item requiring dichotomous (Y/N) response regarding a discussion with their healthcare provider.
At 6 months from baseline survey completion
Effectiveness of LungTalk - Screening Uptake
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Screening Uptake, Lung Cancer Screening Uptake will be assessed via self-report via the stages of adoption algorithm for lung screening. There are seven stages (unaware, aware but unengaged, undecided, decided not to act, decided to act, action, and maintenance).
At baseline
Effectiveness of LungTalk - Screening Uptake
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Screening Uptake, Lung Cancer Screening Uptake will be assessed via self-report via the stages of adoption algorithm for lung screening. There are seven stages (unaware, aware but unengaged, undecided, decided not to act, decided to act, action, and maintenance).
At one week from baseline survey completion
Effectiveness of LungTalk - Screening Uptake
The assessment plan is intended to compare the effectiveness of a tailored (LungTalk) versus non-tailored health communication and decision support tool delivered online to improve Screening Uptake, Lung Cancer Screening Uptake will be assessed via self-report via the stages of adoption algorithm for lung screening. There are seven stages (unaware, aware but unengaged, undecided, decided not to act, decided to act, action, and maintenance).
At 6 months from baseline survey completion
Study Arms (2)
Tailored health communication intervention (LungTalk)
EXPERIMENTALParticipants will receive the tailored health intervention "LungTalk". LungTalk is a 10-15 minute long computer-tailored health communication and decision-making tool that is theoretically grounded in the Conceptual Model on Lung Cancer Screening Participation.
Non-tailored Intervention
ACTIVE COMPARATORParticipants will receive non-tailored American Cancer Society (ACS) Lung Screening Informational Video as per standard of care. ACS Lung Screening Informational Video (ACS LSIV) is a non-tailored 5-minute video from the American Cancer Society about lung cancer screening designed for the lay individual.
Interventions
LungTalk is a 10-15 minute long computer-tailored health communication and decision-making tool.
ACS Lung Screening Informational Video
Eligibility Criteria
You may qualify if:
- ≥20-pack-year smoking history;
- Individuals who currently smoke or quit smoking within the past 15 years
You may not qualify if:
- Previously undergone LDCT for early detection of lung cancer, have a lung nodule or nodules that are currently being followed
- Has ever been diagnosed with lung cancer
- Individuals with impaired decision-making (because our primary outcome is decision-making, we will not include individuals with impaired decision-making)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Hackensack Meridian Healthlead
- National Cancer Institute (NCI)collaborator
Study Sites (1)
Hackensack Meridian Health - Center for Discovery and Innovation
Nutley, New Jersey, 07110, United States
Related Publications (56)
Final recommendation statement: Lung cancer screening. U. S. Preventive Services Task Force. Updated March 9, 2021. Accessed May 26, 2021, 2021. https://www.uspreventiveservicestaskforce.org/uspstf/document/RecommendationStatementFinal/lung-cancer-screening
BACKGROUNDUnited States Preventive Services Task Force. Final recommendation statement: Lung cancer screening. Updated Updated December 2016. Accessed May 21, 2020. http://www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/lung-cancer-screening
BACKGROUNDNational 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.
PMID: 21714641BACKGROUNDDe Koning H. ES 02.01 The Dutch-Belgian Lung Cancer Screening Trial (NELSON). Journal of Thoracic Oncology. 2017;12(11):S1611. doi:10.1016/j.jtho.2017.09.108
BACKGROUNDCenters for Medicare & Medicaid Services. Decision memo for screening for lung cancer with low-dose computed tomography (LDCT) (CAG-00439N). Accessed May 21, 2020. https://www.cms.gov/medicare-coverage-database/details/nca-decision-memo.aspx?NCAId=274
BACKGROUNDOkereke IC, Nishi S, Zhou J, Goodwin JS. Trends in lung cancer screening in the United States, 2016-2017. J Thorac Dis. 2019 Mar;11(3):873-881. doi: 10.21037/jtd.2019.01.105.
PMID: 31019776BACKGROUNDCarter-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.
PMID: 26701339BACKGROUNDCarter-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.
PMID: 28122849BACKGROUNDCarter-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.
PMID: 29552458BACKGROUNDCarter-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.
PMID: 29146565BACKGROUNDChambers DA, Glasgow RE, Stange KC. The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change. Implement Sci. 2013 Oct 2;8:117. doi: 10.1186/1748-5908-8-117.
PMID: 24088228BACKGROUNDUnited States Preventive Services Task Force. Final recommendation statement: Lung cancer screening. Accessed October 10. http://www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/lung-cancer-screening
BACKGROUNDUnited States Preventive Services Task Force. Draft recommendation statement: lung cancer: Screening July 7, 2020. Accessed October 10. https://uspreventiveservicestaskforce.org/uspstf/draft-recommendation/lung-cancer-screening-2020
BACKGROUNDCarter-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.
PMID: 33141096BACKGROUNDCarter-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.
PMID: 27241830BACKGROUNDCarter-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.
PMID: 27244666BACKGROUNDCarter-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.
PMID: 31550991BACKGROUNDCarter-Harris L, Bartlett Ellis R, Warrick A, Rawl S. Beyond Traditional Newspaper Advertisement: Leveraging Facebook-Targeted Advertisement to Recruit Long-Term Smokers for Research. J Med Internet Res. 2016 Jun 15;18(6):e117. doi: 10.2196/jmir.5502.
PMID: 27306780BACKGROUNDFacebook Distribution of Users by Age Group in the U.S. Facebook. Accessed May 26, 2021, 2021. https://www.statista.com/statistics/187549/facebook-distribution-of-users-age-group-usa/
BACKGROUNDFrandsen M, Walters J, Ferguson SG. Exploring the viability of using online social media advertising as a recruitment method for smoking cessation clinical trials. Nicotine Tob Res. 2014 Feb;16(2):247-51. doi: 10.1093/ntr/ntt157. Epub 2013 Oct 14.
PMID: 24127266BACKGROUNDRamo DE, Prochaska JJ. Broad reach and targeted recruitment using Facebook for an online survey of young adult substance use. J Med Internet Res. 2012 Feb 23;14(1):e28. doi: 10.2196/jmir.1878.
PMID: 22360969BACKGROUNDRamo DE, Hall SM, Prochaska JJ. Reaching young adult smokers through the internet: comparison of three recruitment mechanisms. Nicotine Tob Res. 2010 Jul;12(7):768-75. doi: 10.1093/ntr/ntq086. Epub 2010 Jun 7.
PMID: 20530194BACKGROUNDRamo DE, Delucchi KL, Liu H, Hall SM, Prochaska JJ. Young adults who smoke cigarettes and marijuana: analysis of thoughts and behaviors. Addict Behav. 2014 Jan;39(1):77-84. doi: 10.1016/j.addbeh.2013.08.035. Epub 2013 Sep 7.
PMID: 24090626BACKGROUNDSmith A, Anderson M. Social media use in 2018. Pew Internet.org. Updated October 9. https://www.pewinternet.org/2018/03/01/social-media-use-in-2018/
BACKGROUNDUnited States Adults Social Platform Use. Social networking platforms' demographics update 2019. Marketingcharts.com,. Accessed October 9, https://www.marketingcharts.com/charts/us-adults-social-platform-use-demographic-group-2019/attachment/pew-social-platform-use-by-demographic-apr2019
BACKGROUNDAlbada 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.
PMID: 19376676BACKGROUNDKrebs 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.
PMID: 20558196BACKGROUNDNoar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007 Jul;133(4):673-93. doi: 10.1037/0033-2909.133.4.673.
PMID: 17592961BACKGROUNDKreuter M, Farrell D, Olevitch L, Brennan L. Tailoring health messages: Customizing communication with computer technology. Tailoring health messages: Customizing communication with computer technology. Lawrence Erlbaum Associates Publishers; 2000:xiii, 270-xiii, 270.
BACKGROUNDRawl 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.
PMID: 22926008BACKGROUNDRuffin 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.
PMID: 17689600BACKGROUNDWu TY, Lin C. Developing and evaluating an individually tailored intervention to increase mammography adherence among Chinese American women. Cancer Nurs. 2015 Jan-Feb;38(1):40-9. doi: 10.1097/NCC.0000000000000126.
PMID: 24621965BACKGROUNDAhmad 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.
PMID: 15550305BACKGROUNDChampion V, Foster JL, Menon U. Tailoring interventions for health behavior change in breast cancer screening. Cancer Pract. 1997 Sep-Oct;5(5):283-8.
PMID: 9341350BACKGROUNDLau 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.
PMID: 25532218BACKGROUNDMemorial Sloan Kettering Cancer Center. Memorial Sloan Kettering Cancer Center, Lung cancer screening decision tool. Accessibility verified February 12, 2016. Accessed October 7, 2020. http://nomograms.mskcc.org/Lung/Screening.aspx
BACKGROUNDChen Y, Marcus MW, Niaz A, Duffy SW, Field JK. 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. 2014/05/04 2014;52(3):144-152. doi:10.1080/14635240.2014.888814
BACKGROUNDVolk 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.
PMID: 24518006BACKGROUNDVeterans Health Administration. Veterans Health Administration, Screening for lung cancer pamphlet. Accessibility verified February 12, 2016. Accessed September 29,. http://www.prevention.va.gov/docs/LungCancerScreeningHandout.pdf.
BACKGROUNDDharod 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.
PMID: 30625501BACKGROUNDCarter-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.
PMID: 28304262BACKGROUNDMcDonnell KK, Strayer SM, Sercy E, Campbell C, Friedman DB, Cartmell KB, Eberth JM. Developing and testing a brief clinic-based lung cancer screening decision aid for primary care settings. Health Expect. 2018 Aug;21(4):796-804. doi: 10.1111/hex.12675. Epub 2018 Feb 23.
PMID: 29473696BACKGROUNDAmerican Cancer Society. Cancer Screening Tests Videos. Accessed October 9. https://www.cancer.org/healthy/find-cancer-early/cancer-screening-tests-videos.html
BACKGROUNDAmerican Cancer Society. Lung Cancer Screening Guidelines. Accessed October 9. https://www.cancer.org/health-care-professionals/american-cancer-society-prevention-early-detection-guidelines/lung-cancer-screening-guidelines.html
BACKGROUNDFACEBOOK for developers. Facebook Analytics Accessed October 9, 2020. https://developers.facebook.com/docs/analytics/
BACKGROUNDGlasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999 Sep;89(9):1322-7. doi: 10.2105/ajph.89.9.1322.
PMID: 10474547BACKGROUNDRussomanno J, Patterson JG, Jabson Tree JM. Social Media Recruitment of Marginalized, Hard-to-Reach Populations: Development of Recruitment and Monitoring Guidelines. JMIR Public Health Surveill. 2019 Dec 2;5(4):e14886. doi: 10.2196/14886.
PMID: 31789598BACKGROUNDGO2 Foundation. Screening Centers of Excellence citation. Accessed October 9, 2020, (https://go2foundation.org/risk-early-detection/screening-centers/)
BACKGROUNDRaudenbush Stephen W, Bryk Anthony S, eds. Hierarchical Linear Models: Applications and Data Analysis Methods. 2 ed. SAGE Publications, Inc.; 2002.
BACKGROUNDGraham JW, Hofer SM, Donaldson SI, MacKinnon DP, Schafer JL. Analysis with missing data in prevention research. In: Bryant K, Windle M, West S, eds. The science of prevention: methodological advances from alcohol and substance abuse research. American Psychological Association; 1997:325-366.
BACKGROUNDSchafer JL, Olsen MK. Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective. Multivariate Behav Res. 1998 Oct 1;33(4):545-71. doi: 10.1207/s15327906mbr3304_5.
PMID: 26753828BACKGROUNDHedeker D, Gibbons RD. Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychological Methods. 1997;2(1):64-78. doi:10.1037/1082-989X.2.1.64
BACKGROUNDBenjamini Y, Hochberg Y. On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics. Journal of Educational and Behavioral Statistics. 2000;25(1):60-83. doi:10.3102/10769986025001060
BACKGROUNDArigo D, Pagoto S, Carter-Harris L, Lillie SE, Nebeker C. Using social media for health research: Methodological and ethical considerations for recruitment and intervention delivery. Digit Health. 2018 May 7;4:2055207618771757. doi: 10.1177/2055207618771757. eCollection 2018 Jan-Dec.
PMID: 29942634BACKGROUNDCarter-Bawa L, Banerjee SC, Comer RS, Kale MS, King JC, Leopold KT, Monahan PO, Ostroff JS, Slaven JE Jr, Valenzona F, Wiener RS, Rawl SM. Leveraging social media to increase lung cancer screening awareness, knowledge and uptake among high-risk populations (The INSPIRE-Lung Study): study protocol of design and methods of a community-based randomized controlled trial. BMC Public Health. 2023 May 26;23(1):975. doi: 10.1186/s12889-023-15857-8.
PMID: 37237339DERIVEDLisa CB, Banerjee SC, Ostroff JS, Kale MS, King JC, Leopold KT, Monahan PO, Slaven JE Jr, Wiener RS, Valenzona F, Rawl SM, Comer RS. Leveraging social media to increase lung cancer screening awareness, knowledge and uptake among high-risk populations (The INSPIRE-Lung Study): Study protocol of design and methods of a community-based randomized controlled trial. Res Sq [Preprint]. 2023 May 4:rs.3.rs-2846041. doi: 10.21203/rs.3.rs-2846041/v1.
PMID: 37205569DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Ana Vielma
- Organization
- Hackensack Meridian Health - Center for Discovery and Innovation
Study Officials
- PRINCIPAL INVESTIGATOR
Lisa Carter-Bawa, PhD
Hackensack Meridian Health
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 10, 2023
First Posted
April 21, 2023
Study Start
August 2, 2023
Primary Completion
July 30, 2024
Study Completion
July 30, 2024
Last Updated
November 21, 2025
Results First Posted
November 21, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share