Race-Ethnicity, Rurality, and Age in Prospective Preferences and Concerns Regarding Closed-Loop Implanted Neural Devices.

Epilepsy Ethics Implanted Neural Devices Neurotechnology Statistics Underserved Communities

Journal

The Journal of neuropsychiatry and clinical neurosciences
ISSN: 1545-7222
Titre abrégé: J Neuropsychiatry Clin Neurosci
Pays: United States
ID NLM: 8911344

Informations de publication

Date de publication:
22 Aug 2024
Historique:
medline: 22 8 2024
pubmed: 22 8 2024
entrez: 22 8 2024
Statut: aheadofprint

Résumé

Responsive and human-centered neurotechnology development requires attention to public perceptions, particularly among groups underserved by existing treatments. The authors conducted a preregistered nationally representative survey (https://osf.io/ej9h2) using the NORC at the University of Chicago AmeriSpeak panel. One vignette compared an implanted neural device with surgical resection in a scenario involving epilepsy, and another compared an implanted neural device with medications in a scenario involving mood disorders. The survey also contained questions about respondents' confidence that a device would be available if needed and confidence that enough research has been conducted among people like themselves. Responses were entered into nested survey-weighted logistic regression models, including a base demographic model (to test the overall effect of demographic factors) and an adjusted model that also included socioeconomic, religious and political, and health care access predictors. A total of 1,047 adults responded to the survey, which oversampled Black non-Hispanic (N=214), Hispanic (N=210), and rural (N=219) Americans. In the base demographic model, older Americans were more likely to prefer an implanted device in the two scenarios, and non-Hispanic Black Americans were less likely than non-Hispanic White Americans to prefer a device; rural Americans were less confident than urban or suburban Americans in having access, and non-Hispanic Black and rural Americans were less confident that enough research has been conducted among people like themselves. In adjusted models, income was a key mediator, partially explaining the effect of age and the contrast between Black and White non-Hispanic respondents on preferences for a device in the epilepsy scenario and fully explaining the effect of rurality on confidence in access. Demographic differences in prospective preferences and concerns highlight the importance of including members of underserved communities in neurotechnology development.

Identifiants

pubmed: 39169740
doi: 10.1176/appi.neuropsych.20230190
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

appineuropsych20230190

Déclaration de conflit d'intérêts

The authors report no financial relationships with commercial interests.

Auteurs

Bryan B Chen (BB)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Tobias Haeusermann (T)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Abraham Dada (A)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Roy H Hamilton (RH)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Jennifer E James (JE)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Kristina Celeste Fong (KC)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Daniel Dohan (D)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Winston Chiong (W)

Memory and Aging Center (Chen, Haeusermann, Dada, Fong, Chiong), School of Nursing (James), and Institute for Health Policy Studies (Dohan), University of California, San Francisco; Department of Neurology, University of Pennsylvania, Philadelphia (Hamilton).

Classifications MeSH