Evidence map›Paper›PMID 30950077›Full record

ArticleSociology of health & illness2019

Expanded definitions of the 'good death'? Race, ethnicity and medical aid in dying.

Cindy L Cain, Sara McCleskey

Abstract read
In one paragraph

Article in Sociology of health & illness, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
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  3. Black and White older adults' end-of-life experiences: does hospice use mitigate racial disparities?The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  15. The 'good death' in Mainland China - A Scoping Review.International journal of nursing studies advances · 2022
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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

2 authors.

Cindy L CainDepartment of Sociology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Sara McCleskeyDepartment of Health Policy and Management, University of California Los Angeles, Los Angeles, California, USA.

Funding

NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
NCATS NIH HHS TL1 TR001883
6 · The paper itself

Abstract

The range of end-of-life options is expanding across North America. Specifically, medical aid in dying (AID), or the process by which a patient with a terminal illness may request medical assistance with hastening death, has recently become legal in eight jurisdictions in the United States and all of Canada. Debates about AID often rely on cultural constructions that define some deaths as 'good' and others as 'bad'. While research has found commonalities in how patients, family members and health care providers define good and bad deaths, these constructions likely vary across social groups. Because of this, the extent to which AID is seen as a route to the good death also likely varies across social groups. In this article, we analyse qualitative data from six focus groups (n = 39) across three racial and ethnic groups: African American, Latino and white Californians, just after a medical AID law was passed. We find that definitions of the 'good death' are nuanced within and between groups, suggesting that different groups evaluate medical AID in part through complex ideas about dying. These findings further conversations about racial and ethnic differences in choices about end-of-life options.

Indexed as

EthnicityRacial GroupsSuicide, AssistedAdultAgedAttitude to DeathCaliforniaCultureFemaleFocus GroupsHumansMaleMiddle AgedTerminal Careaid in dyingEnd of lifeethnicityfocus groupsgood deathrace

Identifiers

PMID30950077
PMCPMC6786270

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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.