Measuring racial segregation in health system networks using the dissimilarity index

Measuring racial segregation in health system networks using the dissimilarity index

Racial disparities in the end-of-life treatment of patients are a well observed fact of the U.S. healthcare system. Less is known about how the physicians treating patients at the end-of-life influence the care received. Social networks have been widely used to study interactions with the healthcare...

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Bibliographic Details
Main Authors: Austin, A.M (Author), Bynum, J.P.W (Author), Carmichael, D.Q (Author), Skinner, J.S (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2019
Subjects:
African Continental Ancestry Group
aged
Aged
Aged, 80 and over
Alzheimer disease
Alzheimer disease and related dementia
Alzheimer's disease and related dementias
ancestry group
Article
Black person
brain
Caucasian
classification
cohort analysis
Cohort Studies
Columbus [Georgia]
community care
Community Networks
Continental Population Groups
controlled study
correlational study
Delivery of Health Care
disease
dissimilarity index
District of Columbia
End-of-life care
European Continental Ancestry Group
female
Female
Georgia
Georgia (U.S.)
Greenville [North Carolina]
health care delivery
health care disparity
health care quality
health care system
health services
Healthcare Disparities
hospice care
human
Humans
intensive care unit
major clinical study
male
Male
medicare
Mississippi
neurology
North Carolina
patient care
patient referral
procedures
quantitative analysis
racial segregation
social network
Social networks
social segregation
Social Segregation
terminal care
Terminal Care
United States
very elderly
Washington
Washington [District of Columbia]
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