Virtual Library

 x 
My Library Virtual Library FAQ

Start Your Search

Christina S Baik



Author of

  • +

    OA 12 - Emerging Genomic Targets (ID 679)

    • Event: WCLC 2017
    • Type: Oral
    • Track: Advanced NSCLC
    • Presentations: 1
    • +

      OA 12.04 - Discussant - OA 12.01, OA 12.02, OA 12.03 (ID 10799)

      11:30 - 11:40  |  Presenting Author(s): Christina S Baik

      • Abstract
      • Presentation
      • Slides

      Abstract not provided

      Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.

  • +

    P1.06 - Epidemiology/Primary Prevention/Tobacco Control and Cessation (ID 692)

    • Event: WCLC 2017
    • Type: Poster Session with Presenters Present
    • Track: Epidemiology/Primary Prevention/Tobacco Control and Cessation
    • Presentations: 1
    • +

      P1.06-009 - Barriers to Clinical Trial Participation in Lung Cancer Patients, a Single Institution Experience (ID 8903)

      09:30 - 09:30  |  Presenting Author(s): Christina S Baik

      • Abstract

      Background:
      Multiple previous studies have revealed disparities in clinical trial (CT) participation among oncology patients. In this study, we examined the factors that affect CT participation for lung cancer (LC) patients at the University of Washington (UW). Specifically, we hypothesized that patients who spoke a primary language other than English had significantly lower CT participation.

      Method:
      We analyzed data from patients with stage IV LC evaluated at UW from 2004-2015. We examined patient and disease characteristics such as histologic subtype, molecular status, ECOG performance status (PS) and total lines of therapy. We analyzed multiple demographic factors including age, self-reported race, primary language and gender, as well as socioeconomic factors including marital status, employment, insurance status, zip code, distance to clinic, and presence of email address and phone number. We performed multiple logistic regression analyses to evaluate the association between the primary language and CT participation and also examined other factors independently affecting CT enrollment in this patient population.

      Result:
      654 patients were included in our study. 73% did not participate in clinical trials, while 27% enrolled in at least one trial. The median age was 63 and 50% were female. 69% patients self-identified as Caucasian, 11% Asian, 5% African-American and the remainder as other or unknown. 94% of patients named English as their primary language. 90% had non-small cell histology, 73% had ECOG PS score of 0 or 1 and patients had received a median of 2 prior lines of therapy. In the multiple logistic regression model, we did not observe an association between the primary language and CT participation (OR 0.96, 95% CI 0.43 – 2.14). However, factors independently associated with a greater likelihood of CT participation were: an active email address (p = 0.01), better ECOG PS at diagnosis (0-1) (p=0.001), non-adenocarcinoma histology (p = 0.02), and increased number of lines of therapy (p<0.0001).

      Conclusion:
      We did not find that patients with non-English primary language had lower rates of CT participation. Our findings replicate the nationally low level of CT participation and identified surrogates for socioeconomic status as being important. Continued efforts to understand the barriers and factors affecting CT participation will be necessary to help increase access and enrollment.