Evidence map›Paper›PMID 37676820›Full record

ArticleDeath studies2024

Disparities and determinants of place of death: Insights from the Utah Population Database.

Brenna C Kelly, Heidi A Hanson, Rebecca L Utz, Mike S Hollingshaus, Huong Meeks, Djin L Tay, Lee Ellington, Caroline E Stephens, Katherine A Ornstein, Ken R Smith

Open access · greenAbstract read
In one paragraph

Article in Death studies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Brenna C KellyDepartment of Geography, University of Utah, Salt Lake City, Utah, USA.
Heidi A HansonComputational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Rebecca L UtzDepartment of Sociology, University of Utah, Salt Lake City, Utah, USA.
Mike S HollingshausKem C. Gardner Policy Institute, David Eccles School of Business, University of Utah, Salt Lake City, Utah, USA.
Huong MeeksCancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Djin L TayCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.
Lee EllingtonCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.
Caroline E StephensCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.
Katherine A OrnsteinSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
Ken R SmithCancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA.
University of Utah · USHuntsman Cancer Institute · USJohns Hopkins University · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Improving Palliative Care Access Through Technology (ImPAcTT): A Multi-Component Pilot StudyK76AG054862 · NIA · UNIVERSITY OF UTAH · PI STEPHENS, CAROLINE · 2017 to 2021
$1.2M
Research Collaborative for Family Caregivers of Older AdultsK07AG068185 · NIA · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A · 2020 to 2024
$810k
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
NCRR NIH HHS R01 RR021746NIA NIH HHS K07 AG068185NIA NIH HHS K76 AG054862
6 · The paper itself

Abstract

To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or unknown. The model includes family relationship variables, sex, race and ethnicity, and a socioeconomic status score, with control variables for age at death and death year. We identified the effect of a family network of multiple caregivers, with 3+ daughters decreasing odds of a hospital death by 17 percent (OR: 0.83 [0.79, 0.87],

Indexed as

Databases, FactualAdolescentAdultAgedAged, 80 and overCaregiversDeathFemaleHumansMaleMiddle AgedRetrospective StudiesSocioeconomic FactorsTerminal CareUtahYoung Adult

Identifiers

PMID37676820
PMCPMC11119959
OpenAlexW4386495679

What OpenQuestion holds

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Registered trials

None linked

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.