Line of therapy and patient preferences regarding lung cancer treatment: a discrete-choice experiment

Symptoms and Experiences with Small Cell Lung Cancer: A Mixed Methods Study of Patients and Caregivers

INTRODUCTION

Understanding of the patient-perceived symptom burden of small cell lung cancer (SCLC) is limited. The objective of this study was to explore patients' experiences with SCLC, identify which treatment-/disease-related symptoms have the greatest impact on their well-being, and gain caregiver perspectives.

METHODS

A noninterventional, cross-sectional, multimodal, mixed methods study was conducted from April-June 2021. Adult patients with SCLC and unpaid caregivers were eligible to participate. Patients' experiences, captured via 5-day video diaries and follow-up interviews, were scored 1-10 on how bothersome the patients perceived each symptom/symptomatic adverse event. Patients indicated if they believed a symptom was disease or treatment related. Caregivers participated in an online community board.

RESULTS

The study included nine patients (five with extensive-stage [ES] disease, four with limited-stage [LS] disease) and nine caregivers. Except for one patient/caregiver pairing, patients and caregivers were unmatched. The most common impactful symptoms in patients with ES-SCLC were shortness of breath, fatigue, coughing, chest pain, and nausea/vomiting; in LS-SCLC, these were fatigue and shortness of breath. Among patients with ES disease, SCLC had a high impact on physical (leisure/hobbies, work, sleep, ability to do household chores and errands/responsibilities outside home), social (family dynamics, extrafamilial social interaction), and emotional (mental health) aspects. Patients with LS-SCLC faced the long-term physical effects of treatment, financial implications, and emotional toll of an uncertain prognosis. SCLC had a high personal and psychologic burden among caregivers, whose duties consumed much of their time. Caregivers observed similar symptoms and impacts of SCLC as those reported by patients.

CONCLUSIONS

This study provides valuable insight into patient- and caregiver-perceived burden of SCLC and can inform the design of prospective studies. Clinicians should seek to understand patients' opinions and priorities before making treatment decisions.

Assessment of patients' preferences for new anticancer drugs in China: a best-worst discrete choice experiment on three common cancer types

OBJECTIVES

Despite the advancement in anticancer drug therapies, cancer treatment decisions are often complex and preference-sensitive, making them well suited for studying shared decision-making (SDM). Our study aimed to assess preferences for new anticancer drugs among three common types of patients with cancer to inform SDM.

DESIGN

We identified five attributes of new anticancer drugs and used a Bayesian-efficient design to generate choice sets for a best-worst discrete choice experiment (BWDCE). The mixed logit regression model was applied to estimate patient-reported preferences for each attribute. The interaction model was used to investigate preference heterogeneity.

SETTING

The BWDCE was conducted in Jiangsu province and Hebei province in China.

PARTICIPANTS

Patients aged 18 years or older, who had a definite diagnosis of lung cancer, breast cancer or colorectal cancer were recruited.

RESULTS

Data from 468 patients were available for analysis. On average, the most valued attribute was the improvement in health-related quality of life (HRQoL) (p<0.001). The low incidence of severe to life-threatening side effects, prolonged progression-free survival and the low incidence of mild to moderate side effects were also positive predictors of patients' preferences (p<0.001). Out-of-pocket cost was a negative predictor of their preferences (p<0.001). According to subgroup analysis by type of cancer, the improvement in HRQoL remained the most valuable attribute. However, the relative importance of other attributes varied by type of cancer. Whether patients were newly diagnosed or previously diagnosed cancer cases played a dominant role in the preference heterogeneity within each subgroup.

CONCLUSIONS

Our study can assist in the implementation of SDM by providing evidence on patients' preferences for new anticancer drugs. Patients should be informed of the multiattribute values of new drugs and encouraged to make decisions reflecting their values.

The Importance of Disease-Free Survival as a Clinical Trial Endpoint: A Qualitative Study Among Canadian Survivors of Lung Cancer

BACKGROUND

In lung cancer trials, overall survival is a well-validated and widely used endpoint; yet, in the context of adjuvant or curative intent treatments, disease-free survival (DFS) may be a better indicator of transformative patient outcomes. Although use of DFS is growing, patient perceptions of its relevance have not been established.

OBJECTIVE

We aimed to understand the importance of DFS as a trial endpoint, from the perspective of survivors of lung cancer.

METHODS

Web-based qualitative interviews were conducted with Canadian survivors of stage Ib-IIIa lung cancer. Participants described their experiences of cancer diagnosis and treatment, including their treatment goals and priorities. Participants then provided their perspectives on DFS and overall survival, and how well each aligned with their treatment priorities. Thematic analysis was used to explore patterns in responses.

RESULTS

Among the 18 participants (mean age, 64 years), 83% were female, most (89%) had received surgery, and 56% received chemotherapy. Most participants viewed DFS as an intrinsically meaningful treatment outcome, for reasons such as alignment with treatment goals, and the perception that DFS would help maintain a high quality of life. One individual was interested in DFS only as a potential surrogate for overall survival. Participants desired access to new treatments that improve DFS and emphasized this within the context of promoting patient agency in treatment decision making.

CONCLUSIONS

These findings suggest DFS is a meaningful endpoint from the perspective of survivors of lung cancer; and may help inform decisions regarding regulatory approval and reimbursement of new treatments based on DFS data.