Virtual Library

Start Your Search

Yvonne Nartey



Author of

  • +

    MA07 - Improving Care for People with Lung Cancer: Decision Making, Survivorship, and New Challenges During COVID-19 (ID 167)

    • Event: WCLC 2020
    • Type: Mini Oral
    • Track: Patient Advocacy
    • Presentations: 1
    • +

      MA07.02 - Are People with Lung Cancer Satisfied with the Care they Receive?  (ID 2979)

      15:30 - 16:30  |  Presenting Author(s): Yvonne Nartey

      • Abstract
      • Presentation
      • Slides

      Introduction

      Feedback from healthcare service users is fundamental to informing healthcare quality. The United Kingdom Department of Health commissions an annual survey of people aged 16 years and older with a primary cancer diagnosis. We examined how experiences of lung cancer care varied according to demographic and clinical features.

      Methods

      We analysed responses from over 15,000 people with a lung cancer diagnosis in the English Cancer Patient Experience Survey 2010 to 2015, linked to the National Cancer Registry. Item response theory was used to assess underlying traits of satisfaction of NHS care overall and within distinct clinical areas. We modelled multiple questions by grouping within a single trait. Adjusted regression models were used to assess which features were associated with negative and positive tertiles of satisfaction, compared to neutral experiences (central tertile).

      Results

      People with later stage disease and those from more deprived areas were more likely to report positive experiences of healthcare overall (Stage IV Relative Risk Ratio 1.22 95%Confidence Interval 1.05-1.42; most deprived socioeconomic quintile RRR 1.23 95%CI 1.08-1.39), relative to neutral experiences. Older individuals were less likely to report negative experiences compared to younger (>80 RRR 0.69 95%CI 0.59-0.81); females were more likely to report negative experiences (RRR 1.22 95%CI 1.12-1.31). Under-represented populations were more likely to report negative experiences. Discrepancies in findings arose between single summary question responses and multi-question traits.

      Conclusion

      Reports of positive pathway experiences are associated with advanced lung cancer staging and greater socioeconomic deprivation. These features are also considered risk factors for late diagnosis and poor clinical outcomes. Our use of item response theory shows that reported experiences from questionnaires can offer further insight when modelled together.

      So, what:

      We highlight differences in patient experience across patient features that can inform policies to improve provision of optimal care and communication for all healthcare service users. Methods to model complex patient experiences should be utilised more frequently for people with cancer, distilling further value from these important personal contributions.

      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.

  • +

    P39 - Patient Advocacy (ID 168)

    • Event: WCLC 2020
    • Type: Posters
    • Track: Patient Advocacy
    • Presentations: 1
    • Moderators:
    • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
    • +

      P39.01 - Satisfaction with the Lung Cancer Care Pathway. Is it time to Revise the way we Monitor and Assess Patient Experience? (ID 2980)

      00:00 - 00:00  |  Presenting Author(s): Yvonne Nartey

      • Abstract
      • Slides

      Introduction

      The National Cancer Patient Experience Survey is a uniquely valuable tool to monitor satisfaction with care. Consisting of over 80 multiple choice questions, it can be considered overwhelming, particularly for individuals with a poor prognosis such as lung cancer. We evaluated how this information is currently used, and whether alternative methods may offer further value or efficiencies.

      Methods

      We analysed responses from over 15,000 people with a lung cancer diagnosis in the English Cancer Patient Experience Survey 2010 to 2015, linked to the National Cancer Registry. Item response theory was used to assess a question’s ability to discriminate positive and negative experiences, and model multiple questions as a single trait. Adjusted regression models were used to determine associations of experience with demographics, and survival analysis was performed based on experience. Results were compared to those from a single summary question of overall satisfaction.

      Results

      Current survey guidance dichotomises complex responses and excludes uncertain views. Model assumptions could be met in a total of 19 questions with sufficient discrimination ability, providing an overall care domain inclusive of diagnosis, information and support. Model assumptions could not be met in treatment domains. People reporting positive experiences in the overall domain had more advanced staging and shorter median survival compared to negative experiences (-58 days). In contrast, positive responses to the single summary question had a longer median survival (+122 days), and associations were frequently non-significant.

      Conclusion

      Differing insights from multi-question domains indicate that current methods of evaluating patient experience result in a loss of detail in valuable personal views. Analysing the high number of questions individually can lead to false positive findings, a single summary question cannot provide sufficient insight for interventions. Inconsistencies in treatment questions make longitudinal analyses problematic. We recommend multi-question methods to refine the number, consistency and value of questions in patient experience surveys.

      So, what:

      The time and personal views contributed by people with a diagnosis of cancer are an invaluable resource in patient centred medicine. Approaches to record and analyse these insights can be revised and refined to reduce pressures on individuals and gain reliable evidence for intervention.

      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.