Background: The Brazilian public health system does not pay for the use of Stereotactic body radiotherapy (SBRT) due to its costs and the absence of cost-effectiveness analysis showing its benefit. The present study aims to evaluate whether the SBRT is a more cost-effective strategy than the conventional fractionated radiotherapy (CFRT) for surgically ineligible stage I non-small cell lung cancer (NSCLC) in the Brazilian public health system.

Methods: Adopting the perspective of the Brazilian Unified Healthcare System (SUS) as the payer, a Markov model with a lifetime horizon was built to delineate the health states for a cohort of 75-years-old men with medically inoperable NSCLC after treatment with SBRT or CFRT. Transition probabilities and health states utilities were adapted from the literature. Costs were based on the public health system reimbursement values and simulated in the private sector.

Findings: The SBRT strategy results in more quality-adjusted life-year (QALYs) and costs with an incremental cost-effectiveness ratio (ICER) of R$ 164.86 (U$ 65.16) per QALY and R$ 105 (U$ 41.50) per life-year gained (LYG). This strategy was cost-effective, considering a willingness-to-pay of R$ 25,000 (U$ 9,881.42) per QALY. The net monetary benefit (NMB) was approximately twice higher. The outcomes were confirmed with 92% of accuracy in the probabilistic sensitivity analysis.

Interpretation: Using a threshold of R$25,000 per QALY, SBRT was more cost-effective than CFRT for NSCLC in a public health system of an upper-middle-income country. SBRT generates higher NMB than CFRT, which could open the opportunity to incorporate new technologies.

Funding: Varian Medical Systems.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903892PMC
http://dx.doi.org/10.1016/j.lana.2022.100329DOI Listing

Publication Analysis

Top Keywords

public health
20
health system
16
brazilian public
12
stereotactic body
8
body radiotherapy
8
surgically ineligible
8
ineligible stage
8
stage non-small
8
non-small cell
8
cell lung
8

Similar Publications

Frontline Clinic Administrator Perspectives on Extreme Weather Events, Clinic Operations, and Climate Resilience.

J Ambul Care Manage

January 2025

Author Affiliations: Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Drs Wiskel and Dresser); Harvard T.H. Chan School of Public Health Center for Climate, Health, and the Global Environment, Boston, Massachusetts (Drs Wiskel and Dresser); Americares, Stamford, Connecticut (Mr Matthews-Trigg, Ms Stevens, and Dr Miles); and Harvard Medical School, Boston, Massachusetts (Drs Wiskel, Dresser, and Bernstein).

Climate-sensitive extreme weather events are increasingly impacting frontline clinic operations. We conducted a national, cross-sectional survey of 284 self-identified administrators and other staff at frontline clinics determining their attitudes toward climate change and the impacts, resilience, and preparedness of clinics for extreme weather events. Most respondents (80.

View Article and Find Full Text PDF

Community health workers (CHWs) play a significant role in supporting health services delivery in communities with few trained health care providers. There has been limited research on ways to optimize the role of CHWs in HIV prevention service delivery. This study explored CHWs' experiences with offering HIV prevention services [HIV testing and HIV pre- and post-exposure prophylaxis (PrEP and PEP)] during three pilot studies in rural communities in Kenya and Uganda, which aimed to increase biomedical HIV prevention coverage via a structured patient-centered HIV prevention delivery model.

View Article and Find Full Text PDF

Causal Inference With Observational Data and Unobserved Confounding Variables.

Ecol Lett

January 2025

Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, USA.

Experiments have long been the gold standard for causal inference in Ecology. As Ecology tackles progressively larger problems, however, we are moving beyond the scales at which randomised controlled experiments are feasible. To answer causal questions at scale, we need to also use observational data -something Ecologists tend to view with great scepticism.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!