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Major Article

Development of an online discrete choice experiment to elicit preferences for tobacco treatment among college students

, PhD, RNORCID Icon, , PhD & , DNP, ACNP-BC
Received 31 Mar 2022, Accepted 11 Jun 2023, Published online: 12 Jul 2023

References

  • Romm KF, Metzger A, Gentzler AL, Turiano NA. Transitions in risk-behavior profiles among first-year college students. J Am Coll Health. 2022;70(7):2210–2219. doi:10.1080/07448481.2020.1846048.
  • Elflein J. Percentage of U.S. college students reporting tobacco use as of fall 2021, by product. https://www.statista.com/statistics/1126218/us-college-student-tobacco-use-by-product/#:∼:text=The%20same%20survey%20found%20that,used%20just%20once%20or%20twice. Accessed March 7, 2023.
  • National Center for Educational Statistics. Characteristics of post-secondary students. https://nces.ed.gov/programs/coe/pdf/coe_csb.pdf. Accessed October 11, 2022.
  • Villanti AC, Niaura RS, Abrams DB, Mermelstein R. Preventing smoking progression in young adults: the concept of prevescalation. Prev Sci. 2019;20(3):377–384. doi:10.1007/s11121-018-0880-y.
  • Do VV, Nyman AL, Kim Y, Emery SL, Weaver SR, Huang J. Association between E-cigarette advertising exposure and use of E-cigarettes among a cohort of U.S. youth and young adults. IJERPH. 2022;19(19):12640. doi:10.3390/ijerph191912640.
  • Gagné T, Lee JGL, O’Loughlin J. Cigarette smoking and E-cigarette use among young adults in the United States: findings from the 2016–18 behavioral risk factor surveillance system. Addict Behav. 2021;113:106675. doi:10.1016/j.addbeh.2020.106675.
  • Johnston LD, O’Malley PM, Bachman JG, Schulenberg, JE, Miech Ra. Monitoring the Future National Survey Results on Drug Use, 1975–2013. Volume II: College Students and Adults Ages 19–55. Ann Arbor: Institute for Social Research, The University of Michigan. 2014.
  • Choi SH, Stommel M. Impact of age at smoking initiation on smoking-related morbidity and all-cause mortality. Am J Prev Med. 2017;53(1):33–41. doi:10.1016/j.amepre.2016.12.009.
  • World Health Organization. WHO report on the global tobacco epidemic, 2017: monitoring tobacco use and prevention policies. https://apps.who.int/iris/bitstream/handle/10665/255874/97892415?sequence=1. Accessed October 11, 2022.
  • Goodchild M, Nargis N, Tursan d’Espaignet E. Global economic cost of smoking-attributable diseases. Tob Control. 2018;27(1):58–64. doi:10.1136/tobaccocontrol-2016-053305.
  • Pinsker EA, Berg CJ, Nehl EJ, Prokhorov AV, Buchanan TS, Ahluwalia JS. Intent to quit among daily and non-daily college student smokers. Health Educ Res. 2013;28(2):313–325. doi:10.1093/her/cys116.
  • Abadi S, Couch ET, Chaffee BW, Walsh MM. Perceptions related to use of electronic cigarettes among California college students. J Dent Hyg. 2017;91(1):35–43.
  • Watkins SL, Thrul J, Max W, Ling PM. Cold Turkey and Hot Vapes? A national study of young adult cigarette cessation strategies. Nicotine Tob Res. 2020;22(5):638–646. doi:10.1093/ntr/nty270.
  • Soekhai V, de Bekker-Grob EW, Ellis AR, Vass CM. Discrete choice experiments in health economics: past, present and future. Pharmacoeconomics. 2019;37(2):201–226. doi:10.1007/s40273-018-0734-2.
  • Quaife M, Terris-Prestholt F, Di Tanna GL, Vickerman P. How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity. Eur J Health Econ. 2018;19(8):1053–1066. doi:10.1007/s10198-018-0954-6.
  • Regmi K, Kaphle D, Timilsina S, Tuha NAA. Application of discrete-choice experiment methods in tobacco control: a systematic review. Pharmacoecon Open. 2018;2(1):5–17. doi:10.1007/s41669-017-0025-4.
  • Salloum RG, Abbyad CW, Kohler RE, Kratka AK, Oh L, Wood KA. Assessing preferences for a university-based smoking cessation program in Lebanon: a discrete choice experiment. Nicotine Tob Res. 2015;17(5):580–585. doi:10.1093/ntr/ntu188.
  • Shang C, Nonnemaker J, Sterling K, Sobolewski J, Weaver SR. Impact of little cigars and cigarillos packaging features on product preference. IJERPH. 2021;18(21):11443. doi:10.3390/ijerph182111443.
  • Wolcott MD, Lobczowski NG. Using cognitive interviews and think-aloud protocols to understand thought processes. Curr Pharm Teach Learn. 2021;13(2):181–188. doi:10.1016/j.cptl.2020.09.005.
  • Katz DA, Stewart KR, Paez M, et al. Development of a discrete choice experiment (DCE) questionnaire to understand veterans’ preferences for tobacco treatment in primary care. Patient. 2018;11(6):649–663. doi:10.1007/s40271-018-0316-6.
  • de Bekker-Grob EW, Donkers B, Jonker MF, Stolk EA. Sample size requirements for discrete-choice experiments in healthcare: a practical guide. Patient. 2015;8(5):373–384. doi:10.1007/s40271-015-0118-z.
  • Kotz D, Brown J, West R. Predictive validity of the Motivation To Stop Scale (MTSS): a single-item measure of motivation to stop smoking. Drug Alcohol Depend. 2013;128(1-2):15–19. doi:10.1016/j.drugalcdep.2012.07.012.
  • The Tobacco Use and Dependence Clinical Practice Guideline Panel S, and Consortium Representatives. A clinical practice guideline for treating tobacco use and dependence. 2008 update: a U.S. Public Health Service report. Am J Prev Med. 2008;35(2):158–176. doi:10.1016/j.amepre.2008.04.009.
  • Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K-O. The Fagerström Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86(9):1119–1127. doi:10.1111/j.1360-0443.1991.tb01879.x.
  • Morean ME, Krishnan-Sarin S, S, O’Malley S. Assessing nicotine dependence in adolescent E-cigarette users: the 4-item Patient-Reported Outcomes Measurement Information System (PROMIS) Nicotine Dependence Item Bank for electronic cigarettes. Drug Alcohol Depend. 2018;188:60–63. doi:10.1016/j.drugalcdep.2018.03.029.
  • Katz DA, Hamlin C, Vander Weg MW, et al. Veterans’ preferences for tobacco treatment in primary care: a discrete choice experiment. Patient Educ Couns. 2020;103(3):652–660. doi:10.1016/j.pec.2019.10.002.
  • SAS Institute Inc. JMP® 14 Consumer Research. SAS Institute Inc.; 2018.
  • Pew Research Center. Mobile Fact Sheet. https://www.pewresearch.org/internet/fact-sheet/mobile/. Accessed April 13, 2023.
  • Gao Z, House LA, Xie J. Online survey data quality and its implication for willingness-to-pay: a cross-country comparison. Can J Agric Econ. 2016;64(2):199–221. doi:10.1111/cjag.12069.
  • Bahrampour M, Byrnes J, Norman R, Scuffham PA, Downes M. Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods. Eur J Health Econ. 2020;21(7):983–992. doi:10.1007/s10198-020-01189-6.
  • Rakotonarivo OS, Schaafsma M, Hockley N. A systematic review of the reliability and validity of discrete choice experiments in valuing non-market environmental goods. J Environ Manage. 2016;183:98–109. doi:10.1016/j.jenvman.2016.08.032.
  • Ryan M, Watson V, Entwistle V. Rationalising the ‘irrational’: a think aloud study of discrete choice experiment responses. Health Econ. 2009;18(3):321–336. doi:10.1002/hec.1369.
  • Veldwijk J, Determann D, Lambooij MS, et al. Exploring how individuals complete the choice tasks in a discrete choice experiment: an interview study. BMC Med Res Methodol. 2016;16(1):45. doi:10.1186/s12874-016-0140-4.

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