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Poster Display

486P - Fiscal feasibility and implications of integrating lung cancer screening into Hong Kong’s healthcare system

Date

02 Dec 2023

Session

Poster Display

Presenters

Herbert Ho Fung Loong

Citation

Annals of Oncology (2023) 34 (suppl_4): S1646-S1653. 10.1016/annonc/annonc1389

Authors

H.H.F. Loong1, X. Pan2, C.H. Chiu3, S. Yang4, M.S. Chung5, L. de Jong2, H.J.M. Groen6, M. Oudkerk7, M.J. Postma2, C.K.H. Wong5, P. Yang8

Author affiliations

  • 1 Department Of Clinical Oncology, The Chinese University of Hong Kong - Prince of Wales Hospital, 00000 - Sha Tin/HK
  • 2 Unit Of Global Health, University of Groningen, 9712 CP - Groningen/NL
  • 3 Department Of Medicine, Taipei Cancer Center and Taipei Medical University Hospital, 11217 - Taipei City/TW
  • 4 Department Of Internal Medicine, NCKUH - National Cheng Kung University Hospital, 704 - Tainan City/TW
  • 5 Department Of Pharmacy, HKU - The University of Hong Kong, Hong Kong/HK
  • 6 Department Of Pulmonary Diseases, UMCG - University Medical Center Groningen, 9700 RB - Groningen/NL
  • 7 Faculty Of Medical Sciences, University of Groningen, 9712 CP - Groningen/NL
  • 8 1, Sec 1, Jen-ai Road, Taipei, Taiwan, National Taiwan University College of Medicine, 10051 - Taipei City/TW

Resources

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Abstract 486P

Background

Our research group has previously established the cost-effectiveness (CE) of lung cancer screening (LCS) with low-dose computed tomography (LDCT) for both high-risk smokers and non-smokers in Hong Kong (HK). Integrating LCS into the existing infrastructure in HK however requires systematic and rigorous design and execution. Thus, we undertook sensitivity and scenario analyses for LCS beyond fundamental base-case examination. The aim was to explore balance between clinical efficacy and resource optimization for LCS implementation in HK.

Methods

A CE analysis was conducted using decision tree and state-transition Markov model to simulate identification, diagnosis, and treatments for a high-risk population defined by the NELSON study and the TALENT study. One-way sensitivity analysis (OSA) was conducted with ±20% variation of the base-case parameter values. Scenario analyses were undertaken to explore the CE of LCS with varying costs. The incremental cost-effectiveness (ICER) was estimated as costs per quality-adjusted life-year (QALY).

Results

OSA showed that LDCT costs were the main driver for the ICER of LCS targeting heavy smokers, 20% increase in LDCT costs led to an ICER of USD 18,002 (22% higher than base-case ICER). Meanwhile, 20% increase in the treatments costs for stage I LC led to an ICER of 10,844 (7% higher than base-case ICER) for the LCS targeting high-risk non-smokers. Scenario analyses additionally indicated that restraining costs for CT scan, diagnosis, and early-stage LC treatments would yield a reduction in ICER (Table). Table: 486P

Scenario analysis Smoker Non smokers
ICER (USD) Reduction in ICER ICER (USD) Reduction in ICER
Base-case analysis $14,723 NA. $10,096 NA.
Cut down unit costs for low-dose CT scans (LDCT) - USD $ 191 $12,070 18% $9,520 6%
Cut down unit costs for LDCT - USD $ 127 $9,377 36% $8,934 12%
Cut down unit costs for LDCT - USD $ 64 $6,684 55% $8,349 17%
Half diagnostic costs for stage I - USD $ 836 (per person) $14,472 2% $9,635 5%
Half diagnostic costs for stage IV - USD $ 3,922 (per person) $14,969 -2% $8,872 12%
Half treatment costs for the ongoing phase for stage I patients (per 3 months) - USD $ 247 $13,296 10% $8,777 13%
Half treatment costs for the ongoing phase for stage IV patients (per 3 months) - USD $ 417 $14,974 -2% $10,145 0%

Conclusions

Fiscal restraint on CT scanning and early-stage LC treatments expenditures are necessary to ensure feasible and sustainable LCS implementation in HK. Our findings provide important benchmarks for the HK Government’s consideration.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

AstraZeneca Hong Kong.

Disclosure

H.H.F. Loong: Financial Interests, Institutional, Invited Speaker: Boehringer Ingelheim, MSD; Financial Interests, Personal, Invited Speaker: Eli Lilly, Illumina, Bayer, Guardant Health; Financial Interests, Personal, Advisory Board: Novartis, Takeda. X. Pan: Financial Interests, Personal, Financially compensated role: i-DNA. All other authors have declared no conflicts of interest.

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