State of origin–Comparison of selected lung cancer clinical indicators between NSW and QLD–How hard can it be?

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Guan, Tracey
Philpot, Shoni
Windsor, Morgan
Lehman, Margot
Sanmugarajah, Jasotha
Negrello, Theresa
Jalaludin, Bin
Chong, Shanley
Chiew, Kim-Lin
Sundaresan, Puma
Vinod, Shalini K
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2023
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Gold Coast, Australia

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Abstract

Introduction: This project aims to identify unwarranted variation in care to highlight opportunities for improvement, using real-world comparisons. NSW and Queensland will each use population linked datasets to measure selected clinical practice guidelines for lung cancer. Methods: Data was obtained from two linked data sources, the Queensland Oncology Repository and the NSW Clinical Cancer Registry (ClinCR). Both datasets link cancer registry data with data sources for treatment and death. The datasets were not combined, with data remaining in their home states. The study population included non-small cell lung cancer (NSCLC) public lung cancer patients diagnosed between 2008 and 2012 (NSW n = 9787, Qld n = 5522). Each data set was analysed separately using the same methodology. Clinical indicators were selected based on literature review and available data. Cancer stage was available for 85% of patients and performance status was under reported. Results/Learnings: Similar results were found for indicators such as pathological confirmation of diagnosis with both states reporting high rates. Surgical rates for resections for all NSCLC patients were similar, NSW 14% and Qld 15%, with early stage patients who received surgery without adjuvant radiation therapy also similar (NSW 88% and Qld 90%). There appears to be variation in outcomes for 30-day mortality after lung cancer surgery, although the mortality rate for both states is low with NSW 1.72% and Qld 0.6%. The success of pilot with the initial indicator set instils confidence to extend and include indicators for waiting times, the use of systemic therapy and survival. Contribution: This project highlights the need for the development of a coordinated, timely, nation-wide lung cancer data collection. This will support the provision of equitable care and the identification of disparities to help drive improvements in outcomes for lung cancer patients and tracking of healthcare performance towards best practice and guideline concordant care.

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Respirology

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Australian Lung Cancer Conference 2023, 15–17 Feb 2023

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28

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S3

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Biomedical and clinical sciences

Health sciences

Science & Technology

Life Sciences & Biomedicine

Respiratory System

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Guan, T; Philpot, S; Windsor, M; Lehman, M; Sanmugarajah, J; Negrello, T; Jalaludin, B; Chong, S; Chiew, K-L; Sundaresan, P; Vinod, SK, State of origin–Comparison of selected lung cancer clinical indicators between NSW and QLD–How hard can it be?, Respirology, 2023, 28 (S3), pp. 18-18