Stated Preferences in Non-Small-Cell Lung Cancer: A Discrete Choice Experiment

The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review

INTRODUCTION

Stakeholder preference evaluations are increasingly emphasized in healthcare policy and health technology assessment. Discrete choice experiments (DCEs) are the most common method for quantifying preferences among patients, the public, and healthcare professionals. While prior reviews (1990-2017) have examined DCE trends, no comprehensive synthesis exists for studies published since 2018. This updated review (2018-2023) provides critical insights into evolving methodologies and global trends in health-related DCEs.

METHODS

A systematic search (2018-2023) of Medline, Embase, and Web of Science identified relevant studies. Studies were screened for inclusion and data were extracted, including details on DCE design and analysis. To enable trend comparisons, the search strategy and extraction items aligned with previous reviews.

RESULTS

Of 2663 identified papers, 1279 met the inclusion criteria, reflecting a significant rise in published DCEs over time. DCEs were conducted globally, with a remarkable increase in publications from Asia and Africa compared with previous reviews. Experimental designs and econometric models have advanced, continuing prior trends. Notably, most recent DCEs were administered online.

DISCUSSION

The rapid growth of DCE applications underscores their importance in health research. While the methodology is advancing rapidly, it is crucial that researchers provide full transparency in reporting their methods, particularly in detailing experimental designs and validity tests, which are too often overlooked. Key recommendations include improving reporting of experimental designs, applying validity tests, following good practices for presenting benefit-risk attributes, and adopting open science practices. Ensuring methodological rigor will maximize the impact and reproducibility of DCE research in health economics.

Harm-Benefit Balance of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer

Importance

The benefits and harms of immune checkpoint inhibitor (ICI) therapy for lung cancer vary across groups, including those typically underrepresented in randomized clinical trials.

Objective

To quantify the harms and benefits of ICI-containing regimens in individuals with non-small cell lung cancer and assess heterogeneity across priority subgroups.

Design, Setting, and Participants

This retrospective cohort study conducted in 2024 used 2013 to 2019 Surveillance, Epidemiology, and End Results (SEER) Medicare data of individuals 66 years or older with non-small cell lung cancer who were exposed to any ICI.

Exposures

ICI + chemotherapy, single ICI (reference group).

Main Outcomes

Severe immune-related adverse events (irAE; harm) and mortality (when delayed mortality was the benefit). Severe irAEs were defined using validated diagnosis and medication codes. Mortality was ascertained from Medicare data. Hazard ratios (HRs) were estimated and 95% CIs were stratified by whether an ICI was used as the first or second or later systemic anticancer treatment (SACT) and in subgroups defined by preexisting autoimmune disease, sex, and age. The harm-benefit tradeoff was described as excess severe irAEs per year of life gained in which the gain in survival time was assessed using restricted mean survival time.

Results

Of 17 681 Medicare beneficiaries, 8797 (49.5%) were female, and the mean (SD) age was 74 (6.0) years. Compared with a single ICI (14 249 [80.6%]), individuals treated with ICI + chemotherapy (3432 [19.4%]) had an elevated risk of severe irAE in the first SACT setting (hazard ratio [HR], 1.18; 95% CI, 1.06-1.30) but not in the second or later SACT setting (HR, 1.04; 95% CI, 0.92-1.19); there was a decreased risk of mortality in the first SACT setting (HR, 0.66; 95% CI, 0.62-0.72) but not in the second or later SACT setting (HR, 0.94; 95% CI, 0.68-1.03). In the first SACT setting, ICI + chemotherapy delayed mortality more among patients with (vs without) autoimmune disease at baseline. For each 1 year of life gained, the risk of severe irAEs was 0.31 (95% CI, 0.09-0.53) and the tradeoff was also statistically significant in men and patients without autoimmune disease.

Conclusions

The results of this cohort study suggest that given both treatment-related harms and benefits, ICI + chemotherapy use in the first SACT setting requires informed decision-making; the potential benefits of ICI + chemotherapy vs single ICI in high-risk subgroups is encouraging.

Physician Preferences and Shared-Decision Making for the Traditional Chinese Medicine Treatment of Lung Cancer: A Discrete-Choice Experiment Study in China

BACKGROUND

With progress being made in the treatment of cancer, various clinical and treatment options are being pursued. In China, Traditional Chinese Medicine (TCM) is used widely in the treatment of cancer.

OBJECTIVE

To estimate TCM treatment preferences and SDM mode of physicians in China.

METHODS

This study was conducted among physicians (n=185) from nine tertiary hospitals in China by discrete-choice experiment (DCE) survey and Shared Decision-Making Questionnaire-physician version (SDM-Q-Doc) survey. The DCE was developed with the inclusion of the most relevant attributes at appropriate levels for the TCM treatment of lung cancer. The empirical data analyses of physicians were performed using mixed logit models. Additionally, subgroup analysis was conducted.

RESULTS

In total, 185 respondents completed the questionnaire. All attributes were statistically significant except out-of-pocket costs. Physicians showed the strongest preferences for increasing disease control rate, relieving nausea and vomiting, and reducing the risk of side effects. Most of the physicians (78.38%) self-reported a high willingness to use SDM during the decision-making process. The physicians with a higher SDM-Q-Doc score had more preference for improving all three attributes than those with a lower score. Little variation was found in preferences among the physicians with other sociodemographic characteristics.

CONCLUSION

In China, physicians considered disease control rate as the most essential attribute in the TCM treatment of lung cancer. The physicians in China mainly preferred SDM, and the preference was different according to SDM mode when involving the TCM therapy for patients with lung cancer. The study findings could inform future TCM therapy for lung cancer and promote SDM.