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Algorithmic identification of persons with dementia for research recruitment: ethical considerations.
London, Alex John; Karlawish, Jason; Largent, Emily A; Hey, Spencer Phillips; McCarthy, Ellen P.
Afiliação
  • London AJ; Center for Ethics and Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Karlawish J; Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Largent EA; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Hey SP; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • McCarthy EP; Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Inform Health Soc Care ; 49(1): 28-41, 2024 Jan 02.
Article em En | MEDLINE | ID: mdl-38196387
ABSTRACT
Underdiagnosis, misdiagnosis, and patterns of social inequality that translate into unequal access to health systems all pose barriers to identifying and recruiting diverse and representative populations into research on Alzheimer's disease and Alzheimer's disease related dementias. In response, some have turned to algorithms to identify patients living with dementia using information that is associated with this condition but that is not as specific as a diagnosis. This paper explains six ethical issues associated with the use of such algorithms including the generation of new, sensitive, identifiable medical information for research purposes without participant consent, issues of justice and equity, risk, and ethical communication. It concludes with a discussion of strategies for addressing these issues and prompting valuable research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article