Variable implementation of optimal therapeutic strategies in metastatic colorectal cancer: Reviewing rates of liver resection and triplet chemotherapy across Australian hospitals as potential quality indicators.

Authors

null

Catherine Dunn

Walter and Eliza Hall Research Institute, Melbourne, VIC, Australia

Catherine Dunn, Lucy Gately, Jeanne Tie, Louise M. Nott, Belinda Lee, Shehara Ramyalini Mendis, Jeremy David Shapiro, Vanessa Wong, Matthew E. Burge, Rachel Wong, Suzanne Kosmider, Margaret Lee, Ross Jennens, Peter Gibbs

Organizations

Walter and Eliza Hall Research Institute, Melbourne, VIC, Australia, Walter and Eliza Hall Institute, Melbourne, VIC, Australia, Peter MacCallum Cancer Centre, Melbourne, Australia, Royal Hobart Hospital, Hobart, Australia, Imperial College NHS Hospitals, London, United Kingdom, Walter & Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia, Cabrini Health, Malvern, VIC, Australia, Austin Health, Melbourne, VIC, Australia, Royal Brisbane and Women's Hospital, Brisbane, Australia, Eastern Health, Walter and Eliza Hall Institute of Medical Research, Epworth Health and University of Melbourne, Melbourne, Australia, Western Health, Melbourne, Australia, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia, Epworth Hospital, Richmond, VIC, Australia, Royal Melbourne Hospital, Melbourne, Australia

Research Funding

No funding received
None

Background: Quality indicators (QI) are essential to monitor the efficacy of cancer care and to guide quality improvement, however many are derived from ‘expert consensus’ and are not validated against outcomes. Moreover, the majority of oncological QI are defined in the surgical setting, with only a paucity of QI for the treatment of metastatic disease. We aimed to define and validate novel QI for metastatic colorectal cancer (mCRC) based on therapeutic approaches associated with a proven survival benefit. Methods: Data was analysed from TRACC, a multisite Australian registry collecting prospective demographic, tumour, treatment and outcome data for mCRC. We identified all patients diagnosed across 11 hospitals and explored variation by site with regards to patient and tumour characteristics, first-line chemotherapy administration and resection of oligometastatic disease. Log-rank testing and Kaplan-Meier curves compare overall survival (OS) between sites, and Pearson correlation was used to assess associations with each QI. Results: We examined data from 3132 patients diagnosed with mCRC between July 2009 – April 2021. Median age was 66 years (range 62 – 71 years by site), ECOG 0-1 81% (range 69 – 96% by site), and Charlson Comorbidity Index ≤2 43% (33 – 59% by site). Multivariate analysis confirmed association of known adverse prognostic factors with inferior OS (poor ECOG, right sided primary, KRAS or BRAF mutation, all p <0.05). Median OS for entire cohort was 26.2 months (95%CI 24.9 – 27.3 months), and varied by hospital site from 20.1 – 36.1 months (p<0.001). Of the QI evaluated, rate of triplet chemotherapy (FOLFOXIRI) administration (2.8 – 13.2% by site) was very strongly correlated with OS (R2 = 0.851), rate of liver resection (9.8 – 23.2% by site) was moderately correlated (R2 = 0.523), and rates of active treatment with first-line chemotherapy (63 - 90% by site) were weakly correlated (R2 = 0.209). Other proposed QI such as rates of lung metastases resection or chemotherapy administration in the elderly showed significant variation by site, but did not correlate with survival. Conclusions: There is significant variation in OS for patients with mCRC in these Australian hospitals, with major differences in treatment approaches. Treatment strategies known to improve survival outcomes, such as triplet FOLFOXIRI chemotherapy and resection of liver metastases, may be potential QI to benchmark and track quality improvement over time. Further analysis will determine the impact of baseline patient populations between sites, and to correlate these QI with other quality measures.

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Abstract Details

Meeting

2021 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session B: Patient Experience; Quality, Safety, and Implementation Science; Technology and Innovation in Quality of Care

Track

Technology and Innovation in Quality of Care,Patient Experience,Quality, Safety, and Implementation Science,Cost, Value, and Policy,Health Care Access, Equity, and Disparities

Sub Track

Quality Improvement Research and Implementation Science

Citation

J Clin Oncol 39, 2021 (suppl 28; abstr 248)

DOI

10.1200/JCO.2020.39.28_suppl.248

Abstract #

248

Poster Bd #

Online Only

Abstract Disclosures

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