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Bin Jalaludin

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    P3.15 - Treatment in the Real World - Support, Survivorship, Systems Research (Not CME Accredited Session) (ID 981)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/26/2018, 12:00 - 13:30, Exhibit Hall
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      P3.15-07 - A Literature Review and Assessment of Lung Cancer Quality Indicators (ID 12837)

      12:00 - 13:30  |  Author(s): Bin Jalaludin

      • Abstract
      • Slides


      Quality indicators (QIs) are used to assess various aspects of the quality of healthcare services received by patients in the “real-world”. They provide a measurement tool to be utilised in care settings to develop standards or benchmarks, identify variations in care, guide performance improvement, monitor changes over time and promote accountability. The management of lung cancer is complex and rapidly evolving. Care often involves multidisciplinary assessment and management with multimodality treatment that requires a comprehensive and co-ordinated approach. Evaluating the quality of care received in “real-world” everyday care is crucial for optimising health outcomes for lung cancer patients. We reviewed quality indicators in lung cancer and assessed their utility.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      A medline search was conducted using the search terms “quality indicators” and “lung neoplasms” and grey literature using a web search of government and relevant health organisations. Full-text review was performed to include only articles that fulfilled inclusion criteria of original research that developed or applied specific QIs related to the care of lung cancer patients. Data was collected on the characteristics, frequency, use and testing for each indicator.

      4c3880bb027f159e801041b1021e88e8 Result

      A total of 43 articles or reports were analysed. These included 293 distinct QIs, the most frequently reported indicators were related to surgery (n=66), then symptom assessment and management (n=43) and diagnosis and staging (n=38). There were fewer indicators related to systemic therapy (n=30), radiotherapy (n=17) or combined treatments (n=10). Analysis of the characteristics of process and structure QIs was undertaken and classified as meeting all ideal or a minimum set of desirable characteristics for QIs. Of these 60 met the minimum set and only five the ideal characteristics. These included 12 related to diagnosis and staging, four to pre-treatment assessment, five to surgery, 12 to systemic treatment, six to radiotherapy, three to combined treatment, three non-specific to treatment, three to symptom assessment, 11 to supportive care and one to palliative care.

      8eea62084ca7e541d918e823422bd82e Conclusion

      A wide range of quality indicators have been developed and used in lung cancer. The most frequent are treatment related and surgical based, which only reflects a small proportion of all lung cancer patients. In order to assess their usefulness, we classified QIs according to fulfilling accepted desirable characteristics. We present these as the most useful for implementation as quality metrics. QIs must also be feasible and relevant, which must be tailored to the health service for application.


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