PMID- 32548305 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20200928 IS - 2381-4683 (Electronic) IS - 2381-4683 (Linking) VI - 5 IP - 1 DP - 2020 Jan-Jun TI - Non-Small Cell Lung Cancer Patient Preferences for First-Line Treatment: A Discrete Choice Experiment. PG - 2381468320922208 LID - 10.1177/2381468320922208 [doi] LID - 2381468320922208 AB - Background. There has been much innovation in the treatment of non-small cell lung cancer (NSCLC) in recent years. In particular, use of immuno-oncology (IO) therapies has been growing. Methods. Patients with NSCLC in the United States were surveyed online using a discrete choice experiment to elicit first-line (1L) treatment preferences across six treatment attributes: survival, adverse events (AEs), mechanism of action (MOA), subsequent treatment options (STOs), genetic testing treatment delay, and out-of-pocket cost (OOPC). Preferences were estimated using a latent-class model. Preference shares were estimated for IO-IO, IO-chemo, and chemo-like regimens. Results. Of the 199 patients who completed the survey, 55% were male, 76% were white, 19% had not begun or were on 1L treatment, and the median age was 43 years. Based on a latent-class model with 3 preference classes, 53.0% of patients considered survival and OOPC alone and were less likely to choose an option with a higher OOPC and lower survival, 12.7% of patients were likely to choose the more expensive option, and for 34.3% of patients, survival, AE risk, and treatment delays all significantly influenced choices. MOA and STOs did not significantly influence treatment choices in any preference class. Approximately 53%, 27%, and 20% of patients preferred IO-IO-like, IO-chemo-like, and chemo-like regimens in 1L, respectively. Respondents were younger, more likely to be Caucasian, and more likely to speak English than the general NSCLC patient population. Conclusions. OOPC, effectiveness, treatment delays, and safety influenced NSCLC patients' 1L treatment decisions, and most patients preferred an IO-IO followed by IO-chemo-like regimen in 1L. Cancer treatment decisions are complex and patient preferences are unique; therefore, patients' treatment objectives should be discussed in shared treatment decision making. CI - (c) The Author(s) 2020. FAU - MacEwan, Joanna P AU - MacEwan JP AUID- ORCID: 0000-0003-2702-1170 AD - PRECISIONheor, Los Angeles, California. FAU - Gupte-Singh, Komal AU - Gupte-Singh K AD - Bristol-Myers Squibb, Princeton, New Jersey. FAU - Zhao, Lauren M AU - Zhao LM AD - PRECISIONheor, Los Angeles, California. FAU - Reckamp, Karen L AU - Reckamp KL AD - City of Hope Comprehensive Cancer Center, Duarte, California. LA - eng PT - Journal Article DEP - 20200521 PL - United States TA - MDM Policy Pract JT - MDM policy & practice JID - 101707716 PMC - PMC7249575 OTO - NOTNLM OT - NSCLC OT - discrete choice experiment OT - immune-oncology OT - patient preference COIS- The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Joanna MacEwan and Lauren Zhao are employees of PRECISIONheor, a research consultancy to the health and life science industries. Karen Reckamp is a Scientific Advisor to PRECISIONheor. EDAT- 2020/06/18 06:00 MHDA- 2020/06/18 06:01 PMCR- 2020/05/21 CRDT- 2020/06/18 06:00 PHST- 2019/09/12 00:00 [received] PHST- 2020/02/17 00:00 [accepted] PHST- 2020/06/18 06:00 [entrez] PHST- 2020/06/18 06:00 [pubmed] PHST- 2020/06/18 06:01 [medline] PHST- 2020/05/21 00:00 [pmc-release] AID - 10.1177_2381468320922208 [pii] AID - 10.1177/2381468320922208 [doi] PST - epublish SO - MDM Policy Pract. 2020 May 21;5(1):2381468320922208. doi: 10.1177/2381468320922208. eCollection 2020 Jan-Jun.