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In-clinic Versus Online Recruitment of Women With a History of Cervical Intraepithelial Neoplasia or Cervical Cancer to a Smoking Cessation Trial: A Post hoc Comparison of Participant Characteristics, Study Retention, and Cessation Outcomes

  • Bethany Shorey Fennell
  • , Sarah R. Jones
  • , Steven K. Sutton
  • , Charles E. Hoogland
  • , Cherell Cottrell-Daniels
  • , David W. Wetter
  • , Ya Chen Tina Shih
  • , Vani N. Simmons
  • , Yesenia P. Stephens
  • , Damon J. Vidrine
  • , Jennifer I. Vidrine

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Introduction: Recruiting special populations to smoking cessation trials is challenging and approaches beyond in-clinic recruitment may be beneficial. This secondary analysis of data from a smoking cessation RCT for individuals with a history of cervical cancer or cervical intraepithelial neoplasia (CIN) explored differences associated with in-clinic vs. online recruitment. Aims and Methods: Participants were recruited from clinics within a university-based NCI-designated cancer center (n = 87) and online nationally via Facebook (n = 115). Baseline measures included sociodemographics, smoking history, and cancer or CIN history. Study retention and smoking abstinence were assessed 12 months post-baseline. Group differences in baseline characteristics were evaluated. Retention and abstinence were evaluated while controlling for group differences and predictors. Results: Participants recruited online (vs. in-clinic) had higher educational attainment (p = .01) and health literacy (p = .003). They were more likely to have CIN versus cancer, to be further from the time of diagnosis, and to have completed active treatment (p values < .001). While controlling for these group differences and independent predictors, retention was higher among participants recruited online (log-likelihood χ2(1) = 11.41, p < .001). There were no recruitment differences in self-reported (p = .90) or biochemically confirmed smoking abstinence (p = .18). Conclusions: Compared to individuals recruited in-person, individuals recruited online were more educated, had higher health literacy, and presented with a different clinical profile (ie, more likely to have CIN vs. cancer and to have completed active treatment). There were few differences in participant characteristics between recruitment approaches, and no differences on any smoking-related variables. Online recruitment has the potential to improve enrollment of cancer survivors in smoking cessation trials. Implications: People with a history of CIN or cervical cancer recruited to a smoking cessation RCT online (vs. in-clinic) were more likely to have a diagnosis of CIN versus cancer and were more educated and health literate. Participants recruited online were more likely to be retained in the study and there were no differences in smoking abstinence rates at 12 months. Incorporating online recruitment increased the reach of tobacco treatment efforts to a larger and more diverse sample. This could reduce the burden of tobacco-related disease, improve CIN and cancer treatment outcomes, and reduce secondary malignancies and morbidity among this underserved group.

Original languageEnglish
Pages (from-to)1264-1270
Number of pages7
JournalNicotine and Tobacco Research
Volume26
Issue number9
DOIs
StatePublished - Sep 1 2024

Bibliographical note

Publisher Copyright:
© 2024 Oxford University Press. All rights reserved.

Funding

This study was supported by a grant from the National Cancer Institute (R01CA172786) awarded to Dr. Jennifer I. Vidrine and by the Biostatistics and Bioinformatics Shared Resource at the H. Lee Moffitt Cancer Center and Research Institute, a National Cancer Institute Designated Comprehensive Cancer Center (P30CA76292). Support was also provided by the Cancer Center Support Grants of the University of Oklahoma’s Stephenson Cancer Center (P30CA225520), the University of Texas MD Anderson Cancer Center (P30CA016672), and the University of Kentucky Markey Cancer Center (P30CA177558). During manuscript preparation BSF and CCD were supported by the National Institutes of Health Training Grant in Behavioral Oncology (T32CA090314-18, MPIs: Vadaparampil, Simmons). Acknowledgments

FundersFunder number
Cancer Research Informatics, and Biostatistics and Bioinformatics Shared Resource Facilities
National Childhood Cancer Registry – National Cancer InstituteR01CA172786
National Institutes of Health (NIH)T32CA090314-18
University of Kentucky Markey Comprehensive Cancer CenterP30CA177558
University of Oklahoma’s Stephenson Cancer CenterP30CA225520
University of Texas Anderson Cancer CenterP30CA016672
National Cancer Institute Designated Comprehensive Cancer CenterP30CA76292

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    ASJC Scopus subject areas

    • General Medicine

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