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Leveraging Social Networks for the Assessment and Management of Neurological Patients.
Dhand, Amar; Podury, Archana; Choudhry, Niteesh; Narayanan, Shrikanth; Shin, Min; Mehl, Matthias R.
  • Dhand A; Brigham and Women's Hospital, Harvard Medical School, Network Science Institute, Northeastern University, Boston, Massachusetts.
  • Podury A; Harvard-MIT Health Sciences and Technology Program, Harvard Medical School, Boston, Massachusetts.
  • Choudhry N; Harvard Medical School, Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Narayanan S; Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California.
  • Shin M; Department of Computer Science, University of North Carolina at Charlotte, Charlotte, North Carolina.
  • Mehl MR; Department of Psychology, University of Arizona, Tucson, Arizona.
Semin Neurol ; 42(2): 136-148, 2022 04.
Article en En | MEDLINE | ID: mdl-35675821
Social networks are the persons surrounding a patient who provide support, circulate information, and influence health behaviors. For patients seen by neurologists, social networks are one of the most proximate social determinants of health that are actually accessible to clinicians, compared with wider social forces such as structural inequalities. We can measure social networks and related phenomena of social connection using a growing set of scalable and quantitative tools increasing familiarity with social network effects and mechanisms. This scientific approach is built on decades of neurobiological and psychological research highlighting the impact of the social environment on physical and mental well-being, nervous system structure, and neuro-recovery. Here, we review the biology and psychology of social networks, assessment methods including novel social sensors, and the design of network interventions and social therapeutics.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Conductas Relacionadas con la Salud / Red Social Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Conductas Relacionadas con la Salud / Red Social Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article