Evidence map›Paper›PMID 31585377›Full record

ArticleSocial science & medicine (1982)2019

Measuring racial segregation in health system networks using the dissimilarity index.

Andrea M Austin, Donald Q Carmichael, Julie P W Bynum, Jonathan S Skinner

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 25 citations in OpenAlex.

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  9. Mapping racial and ethnic healthcare disparities for persons living with dementia: A scoping review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Andrea M AustinThe Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, NH, Lebanon. Electronic address: andrea.m.austin@dartmouth.edu.
Donald Q CarmichaelThe Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, NH, Lebanon.
Julie P W BynumThe Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, NH, Lebanon; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor MI, USA; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor MI, USA.
Jonathan S SkinnerThe Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, NH, Lebanon; Dartmouth College, Hanover, NH, USA; Department of Economics, Dartmouth College, Hanover NH, USA.
Dartmouth Institute for Health Policy and Clinical Practice · USDartmouth College · US

Funding

UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Leila S. Agha · 2001 to 2026
$52.9M
The Role of Physician Networks on Racial Disparities in Intensity of Care for Dementia PatientsR03AG055809 · NIA · DARTMOUTH COLLEGE · PI AUSTIN, ANDREA · 2017 to 2018
$162k
NIA NIH HHS P01 AG019783NIA NIH HHS R03 AG055809
6 · The paper itself

Abstract

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 system using physician patient-sharing networks. In this paper, we propose an extension of the dissimilarity index (DI), classically used to study geographic racial segregation, to study differences in patient care patterns in the healthcare system. Using the proposed measure, we quantify the unevenness of referrals (sharing) by physicians in a given region by their patients' race and how this relates to the treatments they receive at the end-of-life in a cohort of Medicare fee-for-service patients with Alzheimer's disease and related dementias. We apply the measure nationwide to physician patient-sharing networks, and in a sub-study comparing four regions with similar racial distribution, Washington, DC, Greenville, NC, Columbus, GA, and Meridian, MS. We show that among regions with similar racial distribution, a large dissimilarity index in a region (Washington, DC DI = 0.86 vs. Meridian, MS DI = 0.55), which corresponds to more distinct referral networks for black and white patients by the same physician, is correlated with black patients with Alzheimer's disease and related dementias receiving more aggressive care at the end-of-life (including ICU and ventilator use), and less aggressive quality care (early hospice care).

Indexed as

AgedAged, 80 and overBlack PeopleCohort StudiesCommunity NetworksDelivery of Health CareFemaleHealthcare DisparitiesHumansMaleRacial GroupsSocial SegregationTerminal CareWhite PeopleAlzheimer's disease and related dementiasEnd-of-life careSocial networks

Identifiers

PMID31585377
PMCPMC6810808
OpenAlexW2975269575

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.