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K. Woods



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    OA14 - Nurses in Care for Lung Cancer and in Research (ID 398)

    • Event: WCLC 2016
    • Type: Oral Session
    • Track: Nurses
    • Presentations: 1
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      OA14.07 - The Relationship between Lung Cancer Stigma and Patient Reported Outcomes (ID 6379)

      17:05 - 17:15  |  Author(s): K. Woods

      • Abstract
      • Presentation
      • Slides

      Background:
      Patients with lung cancer (LC) report lower quality of life (QoL) and higher levels of psychological distress compared to other cancer populations (Hewitt et al, 2013). Lung cancer stigma (LCS) may in part explain these findings. Evidence from studies in the Unites States has shown associations between LCS and lower QoL, higher symptom burden and higher levels of anxiety and depression (Cataldo et al, 2013). Whether these associations exist in people diagnosed with LC in the United Kingdom is unknown. Therefore this study explored the prevalence of LCS and its relationship with patient outcomes as well as QoL in a Scottish population.

      Methods:
      This study was a cross-sectional study. Patients (n=201) diagnosed with LC were recruited by health care professionals at follow-up clinics at four hospitals in Scotland. Participants completed questionnaires to collect demographic data and assess perceived LCS, QoL, symptom severity and level of depression. Clinical data was collected by casenote review. Bivariate correlations were performed to investigate the relationships between stigma, demographics, and patient outcomes. Multiple regression further explored the individual contributions of LCS on symptom burden and quality of life.

      Results:
      Participants had a mean age of 69 years (range 41-89 years), 46.8% were males, 92.0% were ever smokers, 17.9% current smokers. The mean LCS score was 53.1 (SD=14.1, range 31-124,). There were significant correlations between higher LCS and age (r= -0.28, p<0.001), being a current smoker (r= 0.17, p<0.05), deprivation index (r=0.15, p<0.05) depression (r=0.40, p<0.001), symptom burden (r=2.60, p<0.001), and QoL (r= - 0.52, p<0.001). Multiple regression revealed an overall model that explained 30.6% of the total variance of stigma (F=14.82, p<0.001). Perceived stigma also accounted for significant unique variance in QoL (4.3%, p<0.001) and depression (3.6%, p<0.001) above and beyond that accounted for by relevant variables. No contribution of stigma on symptom burden was found.

      Conclusion:
      Stigma was correlated with depression, and QoL. Therefore, it is expected that depression and stigma share some of the explanation of variance of QoL. Nevertheless, stigma was found to have a unique contribution on QoL, and on depression. With this in mind, management of patients with LC could determine the patients’ experience of stigma to tailor treatment plans to improve QoL and psychosocial outcomes. Being younger was correlated with higher LCS. This might reflect changed attitudes toward smoking due to changed marketing strategies in the 1960s.

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