Patient Preferences for Lung Cancer Interception Therapy.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Nov 2023
Historique:
medline: 13 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: epublish

Résumé

Interception therapy requires individuals to undergo treatment to prevent a future medical event, but little is known about preferences of individuals at high risk for lung cancer and whether they would be interested in this type of treatment. To explore preferences of individuals at high risk for lung cancer for potential interception therapies to reduce this risk. This survey study used a discrete-choice experiment and included hypothetical lung cancer interception treatments with 4 attributes: reduction in lung cancer risk over 3 years, injection site reaction severity, nonfatal serious infection, and death from serious infection. Respondents were assigned to a baseline lung cancer risk of 6%, 10%, or 16% over 3 years. The discrete-choice experiment was administered online (July 13 to September 6, 2022) to US respondents eligible for lung cancer screening according to US Preventive Services Task Force guidelines. Participants included adults aged 50 to 80 years with at least a 20 pack-year smoking history. Statistical analysis was performed from September to December 2022. Attribute-level preference weights were estimated, and conditional relative attribute importance, maximum acceptable risks, and minimum acceptable benefits were calculated. Characteristics of respondents who always selected no treatment were also explored. Of the 803 survey respondents, 495 (61.6%) were female, 138 (17.2%) were African American or Black, 55 (6.8%) were Alaska Native, American Indian, or Native American, 44 (5.5%) were Asian or Native Hawaiian or Other Pacific Islander, 104 (13.0%) were Hispanic, Latin American, or Latinx, and 462 (57.5%) were White, Middle Eastern or North African, or a race or ethnicity not listed; and mean (SD) age was 63.0 (7.5) years. Most respondents were willing to accept interception therapy and viewed reduction in lung cancer risk as the most important attribute. Respondents would accept a greater than or equal to a 12.0 percentage point increase in risk of nonfatal serious infection if lung cancer risk was reduced by at least 20.0 percentage points; and a greater than or equal to 1.2 percentage point increase in risk of fatal serious infection if lung cancer risk was reduced by at least 30.0 percentage points. Respondents would require at least a 15.4 (95% CI, 10.6-20.2) percentage point decrease in lung cancer risk to accept a 12.0 percentage point increase in risk of nonfatal serious infection; and at least a 23.1 (95% CI, 16.4-29.8) percentage point decrease in lung cancer risk to accept a 1.2 percentage point increase in risk of death from serious infection. Respondents who were unwilling to accept interception therapy in any question (129 [16.1%]) were more likely to be older and to currently smoke with no prior cessation attempt, and less likely to have been vaccinated against COVID-19 or examined for skin cancer. In this survey study of individuals at high risk of lung cancer, most respondents were willing to consider interception therapy. These results suggest the importance of benefit-risk assessments for future lung cancer interception treatments.

Identifiants

pubmed: 37948077
pii: 2811642
doi: 10.1001/jamanetworkopen.2023.42681
pmc: PMC10638649
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2342681

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES013508
Pays : United States

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Auteurs

Ellen M Janssen (EM)

Global Epidemiology, Janssen Research and Development, Titusville, New Jersey.

Ian P Smith (IP)

Global Epidemiology, Janssen Research and Development, Titusville, New Jersey.
Interventional Oncology, Johnson & Johnson External Innovation, New Brunswick, New Jersey.

Xiaoying Liu (X)

RTI Health Solutions, Research Triangle Park, North Carolina.

Anna Pierce (A)

RTI Health Solutions, Research Triangle Park, North Carolina.

Qing Huang (Q)

Interventional Oncology, Johnson & Johnson External Innovation, New Brunswick, New Jersey.

Iftekhar Kalsekar (I)

Interventional Oncology, Johnson & Johnson External Innovation, New Brunswick, New Jersey.

Anil Vachani (A)

University of Pennsylvania Perelman School of Medicine, Philadelphia.

Carol Mansfield (C)

RTI Health Solutions, Research Triangle Park, North Carolina.

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Classifications MeSH