Engagement and abstinence among users of a smoking cessation text message program for veterans
Open accessAbstract
Background SmokefreeVET is a text messaging smoking cessation program available to veterans enrolled in the Veterans Health Administration. SmokefreeVET was developed in collaboration with the National Cancer Institute as part of the SmokefreeTXT initiative.Purpose To evaluate the real world use of and effectiveness of the SmokefreeVET program for SmokefreeVET users who enrolled between 2013 and 2014.Methods Demographics and smoking behavior of 1470 SmokefreeVET users who enrolled between 2013 and 2014 were analyzed. Latent growth mixture modeling was used to identify discrete classes of SmokefreeVET users based on engagement patterns. Multi-level modeling determined class differences in abstinence.Results The average age of the SmokefreeVET user was 48, 75% of users were male, and 84% were daily smokers. After five weeks, 13% of all users reported abstinence from smoking. Five statistically distinct engagement classes of SmokefreeVET users were identified. Highly engaged classes were significantly less likely to opt-out and more likely to report abstinence. Over 60% of users who were classified as high engagers throughout the program reported abstinence 5weeks after their quit date. Users were more likely to report abstinence after two weeks if they used smoking cessation medication than those that did not use medication (OR=9.01, p<0.001).Conclusions SmokefreeVET may be effective at supporting abstinence among a real world group of highly engaged users. Smoking cessation medication use was also associated with abstinence in SmokefreeVET users. Engagement appears to be a critical component when assessing the efficacy of a text messaging smoking cessation intervention.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415 · see citing works
McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991 · see citing works
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Vuong, Q. H. (1989) · Econometrica · doi:10.2307/1912557 · Cited by 5,929 · see citing works
The Health consequences of smoking—50 years of progress : a report of the Surgeon General
Lushniak, B. D., Samet, J. M., Pechacek, T. F., Norman, L., & Taylor, P. A. (2014) · Cited by 4,990 · see citing works
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640 · see citing works
Treating Tobacco Use and Dependence: 2008 Update
Panel, T. U. A. D. G. (2008) · PsycEXTRA Dataset · doi:10.1037/e566222009-001 · Cited by 3,864 · see citing works
The Health Consequences of Smoking -- 50 Years of progress: A Report of the Surgeon General
General, U. S. S. (2014) · PsycEXTRA Dataset · doi:10.1037/e510072014-001 · Cited by 3,347 · see citing works
Current Cigarette Smoking Among Adults — United States, 2016
Jamal, A., Phillips, E., Gentzke, A. S., Homa, D. M., Babb, S. D., King, B. A., & Neff, L. J. (2018) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6702a1 · Cited by 3,060 · see citing works
Current Cigarette Smoking Among Adults — United States, 2005–2014
Jamal, A., Homa, D. M., O’Connor, E., Babb, S. D., Caraballo, R. S., Singh, T., Hu, S., & King, B. A. (2015) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6444a2 · Cited by 2,544 · see citing works
Hagenaars, J. A. P., & McCutcheon, A. L. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511499531 · Cited by 1,983 · see citing works
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
Muthén, B. (2004) · Sage eBooks · doi:10.4135/9781412986311.n19 · Cited by 1,541 · see citing works
The SAGE Handbook of Quantitative Methodology for the Social Sciences
Kaplan, D. (2004) · doi:10.4135/9781412986311 · Cited by 1,454 · see citing works
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub4 · Cited by 1,079 · see citing works
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732 · see citing works
Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60701-0 · Cited by 728 · see citing works
Efficacy of text messaging-based interventions for health promotion: A meta-analysis
Head, K. J., Noar, S. M., Iannarino, N. T., & Harrington, N. G. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.08.003 · Cited by 647 · see citing works
Glasgow, R. E., Klesges, L. M., Dzewaltowski, D. A., Bull, S. S., & Estabrooks, P. (2004) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2701_2 · Cited by 635 · see citing works
Andersen, R., Hagenaars, J. A. P., & McCutcheon, A. L. (2003) · The Canadian Journal of Sociology · doi:10.2307/3341848 · Cited by 635 · see citing works
Smoking cessation with and without assistance
Zhu, S.-H., Melcer, T., Sun, J., Rosbrook, B., & Pierce, J. P. (2000) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00124-0 · Cited by 405 · see citing works
Use of Smoking-Cessation Treatments in the United States
Shiffman, S. S., Brockwell, S. E., Pillitteri, J. L., & Gitchell, J. G. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.09.033 · Cited by 393 · see citing works
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H. J., Bullen, C., Borland, R., Rodgers, A., & Gu, Y. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub3 · Cited by 392 · see citing works
Vermunt, J. K. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.01340-3 · Cited by 375 · see citing works
Magidson, J., & Vermunt, J. K. (2004) · Sage eBooks · doi:10.4135/9781412986311.n10 · Cited by 342 · see citing works
Strecher, V., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Greene, S., Couper, M., Carlier, C., Wiese, C., et al. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1002 · Cited by 264 · see citing works
A Randomized Trial of Text2Quit
Abroms, L. C., Boal, A. L., Simmens, S. J., Mendel, J. A., & Windsor, R. A. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.04.010 · Cited by 225 · see citing works
Smoking Prevalence among US Veterans
Brown, D. W. (2009) · Journal of General Internal Medicine · doi:10.1007/s11606-009-1160-0 · Cited by 188 · see citing works
Goodness-of-Fit Testing for Latent Class Models
Collins, L. M., Fidler, P. L., Wugalter, S. E., & Long, J. D. (1993) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2803_4 · Cited by 184 · see citing works
Efficacy of SMS Text Message Interventions for Smoking Cessation: A Meta-Analysis
Spohr, S. A., Nandy, R. R., Gandhiraj, D., Vemulapalli, A., Anne, S., & Walters, S. T. (2015) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2015.01.011 · Cited by 166 · see citing works
Abroms, L. C., Ahuja, M., Kodl, Y., Thaweethai, L., Sims, J., Winickoff, J. P., & Windsor, R. A. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649159 · Cited by 117 · see citing works
Shiffman, S. S., Brockwell, S. E., Pillitteri, J. L., & Gitchell, J. G. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.09.005 · Cited by 115 · see citing works
A centralised telephone service for tobacco cessation: the California experience
Zhu, S., Anderson, C. M., Johnson, C. E., Tedeschi, G. J., & Roeseler, A. (2000) · Tobacco Control · doi:10.1136/tc.9.suppl_2.ii48 · Cited by 114 · see citing works
Engagement Promotes Abstinence in a Web-based Cessation Intervention: Cohort Study
Richardson, A. K., Graham, A. L., Cobb, N. K., Xiao, H., Mushro, A., Abrams, D. B., & Vallone, D. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2277 · Cited by 100 · see citing works
Ybarra, M. L., Holtrop, J. S., Prescott, T. L., Rahbar, M. H., & Strong, D. R. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/nts339 · Cited by 94 · see citing works
Duggan, M. (2013) · Issue Lab (Candid) · Cited by 78 · see citing works
Predictors of quitting and dropout among women in a clinic-based smoking cessation program.
Borrelli, B., Hogan, J. W., Bock, B. C., Pinto, B. M., Roberts, M., & Marcus, B. H. (2002) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.16.1.22 · Cited by 69 · see citing works
Kruger, J., O’Halloran, A. C., Rosenthal, A., Babb, S. D., & Fiore, M. C. (2016) · BMC Public Health · doi:10.1186/s12889-016-2798-2 · Cited by 63 · see citing works
Curtin, L., Brown, R. A., & Sales, S. D. (2000) · Psychology of Addictive Behaviors · doi:10.1037//0893-164x.14.2.134 · Cited by 58 · see citing works
Curtin, L., Brown, R. A., & Sales, S. D. (2000) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.14.2.134 · Cited by 54 · see citing works
Smith, A. (2011) · Issue Lab (Candid) · Cited by 51 · see citing works
Nevid, J. S., Javier, R. A., & L., I. M. J. (1996) · Health Psychology · doi:10.1037//0278-6133.15.3.226 · Cited by 41 · see citing works
Health Care Expenditures Attributable to Smoking in Military Veterans
Barnett, P. G., Hamlett-Berry, K., Sung, H.-Y., & Max, W. B. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu187 · Cited by 37 · see citing works
Self-citationNevid, J. S., Javier, R. A., & Moulton, J. L. (1996) · Health Psychology · doi:10.1037/0278-6133.15.3.226 · Cited by 37 · see citing works
Gierisch, J. M., Straits-Tröster, K. A., Calhoun, P. S., Acheson, S. K., Hamlett-Berry, K., & Beckham, J. C. (2012) · Preventing Chronic Disease · doi:10.5888/pcd9.110131 · Cited by 35 · see citing works
Self-citationVeteran Internet Use and Engagement With Health Information Online
Houston, T. K., Volkman, J. E., Feng, H., Nazi, K. M., Shimada, S. L., & Fox, S. (2013) · Military Medicine · doi:10.7205/milmed-d-12-00377 · Cited by 28 · see citing works
Recruiting Women into a Smoking Cessation Program: Who Might Quit?
Bowen, D. J., McTiernan, A., Powers, D., & Feng, Z. (2001) · Women & Health · doi:10.1300/j013v31n04_03 · Cited by 24 · see citing works
Attrition in a Multi-Component Smoking Cessation Study for Females
Leeman, R. F., Quiles, Z. N., Molinelli, L. A., Terwal, D. M., Nordstrom, B. L., Garvey, A. J., & Kinnunen, T. (2006) · Tobacco Induced Diseases · doi:10.1186/1617-9625-3-2-59 · Cited by 22 · see citing works
Shahoumian, T. A., Phillips, B. R., & Backus, L. I. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.150282 · Cited by 15 · see citing works
Suicide Prevention Referrals in a Mobile Health Smoking Cessation Intervention
Christofferson, D. E., Hamlett-Berry, K., & Augustson, E. M. (2015) · American Journal of Public Health · doi:10.2105/ajph.2015.302690 · Cited by 10 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Bricker, J. B., Mull, K. E., Santiago-Torres, M., Miao, Z., Perski, O., & Di, C. (2022) · Journal of Medical Internet Research · doi:10.2196/39208 · Cited by 44 · see citing works
“This study contributes to the nascent literature on longitudinal use trajectories of digital health interventions and their prediction of health outcomes [20-25].”
BackgroundRehman, H., Kamal, A. K., Sayani, S., Morris, P. B., Merchant, A. T., & Virani, S. S. (2017) · Current Atherosclerosis Reports · doi:10.1007/s11883-017-0650-5 · Cited by 46 · see citing works
Coa, K. I., Wiseman, K. P., Higgins, B., & Augustson, E. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty073 · Cited by 31 · see citing works
Castro, R. P., Haug, S., Filler, A., Kowatsch, T., & Schaub, M. P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7928 · Cited by 37 · see citing works
“We found similar results among adolescents as for adults [16,18,20].”
BackgroundResultInfluentialBricker, J. B., Sullivan, B. M., Mull, K. E., Santiago‐Torres, M., & Ferres, J. L. (2024) · JMIR mhealth and uhealth · doi:10.2196/57318 · Cited by 32 · see citing works
“…use is longer than we have observed in rule-based SMS text messaging interventions for smoking cessation (which typically last about 7 days) [85,99,100] and longer than typical human clinician–delivered interventions, such as telephone quit coaching (which typically last about 7 days)…”
Chen, J. A., Fearey, E., & Smith, R. E. (2017) · Journal Of Behavior Therapy And Mental Health · doi:10.14302/issn.2474-9273.jbtm-16-1180 · Cited by 27 · see citing works
Graham, A. L., Papandonatos, G. D., Cha, S., Amato, M. S., Jacobs, M. A., Cohn, A. M., Abroms, L. C., & Whittaker, R. (2021) · Addiction · doi:10.1111/add.15677 · Cited by 25 · see citing works
“Different types and intensity of engagement can have varied effects on outcomes [55, 57, 58].”
BackgroundSmokefreeTXT for Homeless Smokers: Pilot Randomized Controlled Trial
Baggett, T. P., McGlave, C., Kruse, G. R., Yaqubi, A., Chang, Y., & Rigotti, N. A. (2019) · JMIR mhealth and uhealth · doi:10.2196/13162 · Cited by 23 · see citing works
“Such changes might enhance SMS text messaging program engagement, which appears to be an important determinant of treatment response in other settings [22,62-64].”
Bricker, J. B., Sridharan, V., Zhu, Y., Mull, K. E., Heffner, J. L., Watson, N. L., McClure, J. B., & Di, C. (2018) · Journal of Medical Internet Research · doi:10.2196/10143 · Cited by 20 · see citing works
“Other research identified 5 distinct usage trajectories of a short message service (SMS) text-messaging–based smoking cessation program over 5 weeks, namely high engagement, increasing engagement, rapid decrease, delayed decrease, and low engagement [13].”
Bricker, J. B., Sullivan, B. M., Mull, K. E., Lavista-Ferres, J., & Santiago‐Torres, M. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107727 · Cited by 14 · see citing works
Perski, O., Watson, N. L., Mull, K. E., & Bricker, J. B. (2021) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntab008 · Cited by 12 · see citing works
Li, Y., Luk, T. T., Cheung, Y. T. D., Zhao, S., Zeng, Y., Tong, H. S. C., Lai, V. W. Y., & Wang, M. P. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.17796 · Cited by 13 · see citing works
User Experiences With an SMS Text Messaging Program for Smoking Cessation: Qualitative Study
Budenz, A., Coa, K. I., Grenen, E., Keefe, B., Sanders, A., Wiseman, K. P., & Roditis, M. L. (2022) · JMIR Formative Research · doi:10.2196/32342 · Cited by 10 · see citing works
“Some opted out as they had successfully quit smoking and felt that they no longer needed the program, which suggests a need to reconceptualize the implications of program opt out [27].”
BackgroundTamí‐Maury, I., Klaff, R., Hussin, A., Smith, N. G., Chang, S., McNeill, L. H., Reitzel, L. R., Shete, S. S., & Abroms, L. C. (2022) · JMIR Research Protocols · doi:10.2196/42553 · Cited by 8 · see citing works
“It has also been successfully tailored to special populations such as pregnant women, homeless individuals, and veterans [11,16-19].”
BackgroundChristofferson, D. E., Dennis, P. A., Hertzberg, J. S., Beckham, J. C., Knoeppel, J., & Hamlett-Berry, K. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaa183 · Cited by 9 · see citing works
Self-citationThrul, J., Mendel, J. A., Simmens, S. J., & Abroms, L. C. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.05.012 · Cited by 9 · see citing works
Deutsch, C., Bock, B. C., Lantini, R., Walaska, K., Rosen, R. K., Fava, J. L., Jennings, E., Foster, R., & Flanagan, W. (2019) · Contemporary Clinical Trials · doi:10.1016/j.cct.2019.04.010 · Cited by 7 · see citing works
“interventions also show that increased engagement is associated with sucessful abstinence [62-64].”
BackgroundKlaff, R., Tundealao, S. T., Krenek, B., & Tamí-Maury, I. M. (2023) · mHealth · doi:10.21037/mhealth-23-4 · Cited by 5 · see citing works
Su, Z., Wei, X., Cheng, A., Zhou, X., Li, J., Qin, R., Liu, Y., Xia, X., Song, Q., Liu, Z., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/44840 · Cited by 5 · see citing works
“For example, some participants who enrolled in research conducted with veterans [18,20] or pregnant individuals [19] were likely not veterans or pregnant women, respectively; even nonsmokers subscribed to the smoking cessation program in the study in India.”
InfluentialBlok, A. C., Sadasivam, R. S., Hogan, T. P., Patterson, A. M., Day, N. J. B., & Houston, T. K. (2019) · JMIR mhealth and uhealth · doi:10.2196/14331 · Cited by 4 · see citing works
“Engagement with the behavioral intervention is a critical component in the efficacy of an intervention, ensuring smokers receive the full benefit of the 2-week intervention [46].”
El‐Toukhy, S., & Kamke, K. (2023) · BMJ Public Health · doi:10.1136/bmjph-2023-000222 · Cited by 4 · see citing works
Huang, S., Wahlquist, A. E., & Dahne, J. (2024) · Substance Use & Misuse · doi:10.1080/10826084.2024.2369155 · Cited by 4 · see citing works
“This aligns with prior literature illustrating that increased digital intervention engagement over time predicts improved abstinence outcomes (Bricker et al., 2018, 2022; Christofferson et al., 2016; Strecher et al., 2008).”
Christofferson, D. E., Blalock, D. V., Knoeppel, J., Beckham, J. C., Hamlett-Berry, K., & Hertzberg, J. S. (2021) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntab191 · Cited by 3 · see citing works
Self-citationFeasibility of a text-messaging smoking cessation program for soldiers in Israel
Bary-Weisberg, D., Meltser, M., Oberman, M., Benari, A. P., Bar‐Zeev, Y., Shalev, S., Berg, C. J., Abroms, L. C., & Levine, H. (2019) · BMC Public Health · doi:10.1186/s12889-019-6958-z · Cited by 3 · see citing works
Bricker, J. B., Westmaas, J. L., Ostroff, J. S., Mull, K. E., Sullivan, B. M., & Santiago-Torres, M. (2023) · Contemporary Clinical Trials · doi:10.1016/j.cct.2023.107180 · Cited by 2 · see citing works
Kinouchi, K., & Ohashi, K. (2022) · JMIR Formative Research · doi:10.2196/35471 · Cited by 1 · see citing works
Chung, T. A., Ahn, C., & Suffoletto, B. P. (2023) · Addictive Behaviors · doi:10.1016/j.addbeh.2023.107729 · Cited by 1 · see citing works
Riveroll, A. L., Charlton, P., Pyper, E., Macphail, K., Fisher, B., Beck, C., & Montelpare, W. J. (2022) · Research Square · doi:10.21203/rs.3.rs-1447984/v1 · Cited by 1 · see citing works
Health recommender systems for behavior change
Hors-Fraile, S. (2022) · doi:10.26481/dis.20220324sh
Tamí-Maury, I. M., Klaff, R., Hussin, A., Smith, N. G., Chang, S., McNeill, L. H., Reitzel, L. R., Shete, S. S., & Abroms, L. C. (2022) · doi:10.2196/preprints.42553
Christofferson, D. E., Hertzberg, J. S., Knoeppel, J., Calhoun, P. S., & Beckham, J. C. (2026) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2026.108460
Self-citationPresant, C. A., Gascon, B., Yeung, S., Macalintal, J., Sandoval, A., Raz, D. J., Erhunmwunsee, L., Cronkhite, J., Davy, K., Cianfrocca, M. E., et al. (2026) · Supportive Care in Cancer · doi:10.1007/s00520-026-10971-w
“These services included buddy or family support [11], KickItCA [12], Smoke Free [13], build a quit plan [13], Veterans Smoke Free [14], sign a commitment contract [15], relaxation and guided imagery [16], self-hypnosis [17], stress management APPs [18], spiritual care [19], Center for Disease…”
- Authors
- Christofferson, D. E., Hertzberg, J. S., Beckham, J. C., Dennis, P. A., & Hamlett-Berry, K.
- Affiliations
- United States Department of Veterans Affairs (US)
- Durham VA Medical Center (US)
- Duke Medical Center (US)
- Corresponding author
- Christofferson, Dana E.
- Venue
- Addictive Behaviors
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 62
- Pages
- 47-53
- ISSN
- 0306-4603 (ISSN-L)
- PMC
- PMC5144826
- OpenAlex
- W2413560102
- Cited by
- 33
- References
- 46
- Citations by year
- 2026: 2 · 2024: 4 · 2023: 5 · 2022: 7 · 2021: 3 · 2020: 1 · 2019: 4 · 2018: 4 · 2017: 3
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Addictive Behaviors (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs (IK6 BX003777)
- National Institutes of Health (VA999999)
- National Cancer Institute
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- smoking cessation, text messaging intervention, veterans, user engagement, abstinence, smoking cessation medication, opt-out, growth mixture modeling, real-world effectiveness
- MeSH terms
- Adult, Aged, Aged, 80 and over, Analysis of Variance, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, United States, Veterans, Smoking Cessation, Young Adult, Text Messaging, Smoke-Free Policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review